Total 163 Education / Training job vacancies

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are seeking a motivated Research Engineer to join our team at a newly established Research Centre in Animal Feed, a facility dedicated to aquaculture and animal feed research, production, and capability development. The role is responsible for the reliable, safe, and efficient execution of feed research and production activities, and serves as a key enabler of service delivery, project execution, and capability transfer for the Centre.

You will support the day-to-day running of feed production, testing, and development activities, while developing an end-to-end understanding of feed production, from formulation through to finished feed. This role is ideal for an engineer eager to gain hands-on experience in applied feed science and to help build operational excellence within a growing research environment.

Key Responsibilities:

Feed Mill Operations

• • Ensure the uninterrupted and efficient operation of the feed mill.
  • Plan and execute production runs for R&D, pilot, training, and service activities.
  • Oversee formulation execution, extrusion, drying, coating, and quality control.

Technical Excellence & Standards

• • Establish and maintain operational standards for formulation, processing, and quality control.
  • Ensure compliance with safety, quality, risk and regulatory requirements.
  • Support the commissioning, validation, and optimisation of upgraded equipment.
  • Conduct routine laboratory analyses (e.g. proximate analysis, basic quality checks).
  • Support sample preparation and data generation for feed and ingredient testing.
  • Maintain good laboratory practices and basic QA/QC procedures.

People & Capability Development

• • Provide hands-on leadership and mentoring to technical staff.
  • Transfer operational know-how and best practices to build a competent team.
  • Support the training and upskilling of staff involved in feed production.
  • Communicate with internal and external stakeholders to ensure project deliverables are met.

Operational Integration

• • Work closely with the Centre Director on production planning, resource allocation, and prioritisation.
  • Support the Centre Director in the engagement of external parties.
  • Support the smooth integration of feed mill operations within the Research Centre’s broader project and service portfolio.
  • Any other ad-hoc duties assigned by Supervisors.

Job Requirements:

• Have relevant competence in feed production, processing, or a related technical field.
• Have a degree in Food Science, Animal Science, Aquaculture, Chemical/Process Engineering, or a related discipline.
• Experience in feed milling, extrusion processing, or laboratory analysis (e.g. proximate analysis, QA/QC) will be advantageous.
• Strong hands-on, problem-solving, and team-leadership skills will be advantageous.

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society.

SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems /across sectors. Focus areas for applied AI include domains such as:

o Advanced Manufacturing & Semiconductors

o Urban Systems

o AI-Augmented Engineering

o AI Safety & Security

o Chemical Engineering & Biotechnology

o Hospitality and Tourism

o Healthcare

o Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.

SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners.

IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or prod/ucts and implementing AI solutions using ready AI tools to ensure a fast implementation to market.

Key Responsibilities

· Work closely with centre head, Principal Investigator (PI) and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes.

· Outcomes include impact or revenue of industry partners

· Understand industry partners requirements and help create proposals to them.

· Work with the team to create IP (Intellectual Property) from internal grants to target multiple adopters

Job Requirements:

· Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application.

· Strong technical expertise in one or more of the following areas:

o Computer Vision and Image Processing

o Machine Learning, Deep Learning, and Reinforcement Learning

o Large Language Models (LLMs) and Multimodal Models

o Generative AI, Agentic AI, Physical AI, and Embodied AI

o Trustworthy AI, including explainability, auditability, and privacy

o Edge AI and model optimisation

o Physics-informed neural networks (PINNs) and surrogate modelling

o Time-series modelling and anomaly detection

o Bayesian methods and uncertainty quantification

o Graph Neural Networks (GNNs)

o Spatiotemporal data engineering

o Digital twins and simulation

o Demonstrated Applied AI for Healthcare and clinical practice

o Industry 4.0 and/or Industry 5.0 (added advantage)

· Experience applying AI to one or more of SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.

· Deep technical specialist with 8 or more years of working experience as a Machine Learning Engineer or similar role, with good knowledge of industry practices and technological applications in the field for the senior positions. 1 - 3 years experience will suffice for research engineers. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit- Learn, CNTK. Also Big data technologies such as Apache Hadoop and spark, Devops/MLops.

· Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms.

· Keen interest to support research and academic project work, with demonstrated ability in developing software solutions to technical problems.

· Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantage.

Key Competencies

· Self-motivated and can work independently or in a team.

· Enjoy both analytical and hands-on work to solve problems.

· Able to build and maintain good working relationships with people within and external to the university.

· Flexibility to work across functions/teams as part of a team in a dynamic environment.

· Self-directed learner who believes in continuous learning and development

· Proficient in technical writing and presentation

· Possess good analytical and critical thinking skills

· Shows good initiative and takes ownership of work undertaken

· Proactive, resourceful, and able to take ownership of assigned responsibilities

Job Purpose

The Research Fellow / Research Engineer (with focus on MedTech / HealthTech Engineering) will support applied research and innovation in community and allied health by translating clinical and operational needs into engineering requirements, prototypes, technical evaluations, deployment support and evidence reports. The role focuses on hands-on medtech / healthtech engineering, project coordination and implementation support for healthcare projects.

This role is focused on MedTech / HealthTech Engineering. The candidate should have good project-management discipline and experience coordinating engineering, prototyping, testing or implementation workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical engineering and deployment outputs.

Key Responsibilities

Applied Research & Development

• Translate clinical needs assessment and workflow analysis into engineering requirements for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings.
• Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, care automation and assistive technologies.
• Develop and execute healthcare innovation projects by supporting design, prototyping, testing, technical evaluation, data collection and implementation for Proof of Concept (POC) and deployment in community-care or healthcare settings.

Industry Collaboration

• Support collaborations with industry and healthcare partners to understand technical problem statements, user requirements, operating constraints and integration needs, and contribute to practical engineering solution development.
• Assist in project scoping by gathering engineering, technical, integration and validation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned medtech / healthtech engineering workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate technical reports, presentations, design notes, prototype records, test plans, validation summaries, deployment trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned engineering, technical documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — MedTech / HealthTech Engineering: translate user and clinical needs into engineering requirements; support design, prototyping, testing, validation, integration and deployment; prepare technical documentation and evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate engineering findings into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., medtech / healthtech development, prototyping, care automation, commercialisation, health economics and value capture).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving medtech / healthtech engineering, biomedical devices, assistive technologies, digital health, care automation, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this MedTech / HealthTech Engineering role, relevant experience in engineering design, prototyping, testing, technical validation, product development, system integration, biomedical devices, assistive technologies, sensors, digital health solutions or equivalent engineering methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of medtech / healthtech engineering and implementation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in medtech / healthtech engineering, including requirements translation, prototyping, testing, validation, integration, technical troubleshooting and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned engineering outputs, validation evidence and project outcomes toward the overall KPI commitments.

The Senior / Executive (Training) supports the effective delivery of both the professional and community training programmes by overseeing end-to-end training administrative operations. This role ensures that WSQ and SSG-funded courses, as well as community programmes are administered accurately, efficiently, and in compliance with regulatory requirements.

Duties and Responsibilities:

1. Training Administration and Operations

Supports the coordination of end-to-end logistics for community and professional training programmes.

Supports the smooth class administration ie enquiries, registration process, withdrawals, learners’ e-learning on LMS, attendance tracking, and post-training follow-up.

Supports with scheduling, venue booking and set up, manpower allocation, and training materials preparation, and refreshments

Adherence to training-related budgeting, expense tracking, procurement and payment procedures.

2. Stakeholder Engagement

Serves as one of the key points of contact for learners, organisations, and community partners on training-related matters

Liaises with trainers, facilitators, clients and participants to ensure smooth training operations.

Support assignment offacilitators strategically based on participant profiles and training needs.

Provides timely communication, logistical support, and post-session feedback to trainers and facilitators, as needed.

3. Quality Assurance & Compliance

Supports the administration of WSQ/ SSG-funded/ AIC-funded courses in accordance with SkillsFuture Singapore(SSG) requirements and internal SOPs.

Maintains accurate records and documentation in the Training & Learning Management System (TLMS) andAgency sharepoint.

Maintains up-to-date knowledge of funding guidelines and SSG requirements for operational compliance and audit readiness.

Maintains adherence withinternal finance process, external audit requirements and data protection standards.

4. Process Management/Improvement

Work with the Manager (and/or Senior Executive) to review and refine workflows and SOPs for greater efficiency.

Contributes to digitisation or system enhancements of administrative tasks.

Supports the generation of reports and insights for programme evaluation and funder reporting.

Documents and adheres to best practices to build team capacity.

5. Team and Cross-functional Collaboration

Works closely with other departments of the Agency to ensure smooth delivery of the training programmes.

Supports other agency-related projects as recommended by the Manager or Deputy Director.

TELE me at @jacechooo or WA me at https://wa.me/+6582976283 NOW!
Interested candidates please submit your resume to jacechoo@recruitexpress.com.sg

Jace Choo Oi Kei
Personnel EA License No.: R1875164
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

About the role

As a Franchise Operations Trainer at Paris Baguette Singapore, you will play a crucial role in ensuring the seamless operation and success of our franchise locations. You will be responsible for training and supporting our franchisees and their teams in the overseas countries to deliver exceptional customer service and maintain our high standards of food quality and operational efficiency.

What you'll be doing

• Develop and deliver comprehensive training programs for new and existing franchisees, covering all aspects of operations, including food preparation, customer service, inventory management, and reporting
• Provide on-site support and coaching to franchisees and their staff, ensuring they have the knowledge and skills to effectively manage their operations
• Monitor franchisee performance and provide feedback and recommendations for improvement
• Collaborate with the franchisor team to identify and implement best practices, process improvements, and new initiatives
• Maintain detailed records of all training activities and franchisee performance metrics
• Assist in the recruitment and onboarding of new franchisees

What we're looking for

• Minimum 3 years of experience in a similar Franchise Operations Trainer or TTT experience, preferably within the hospitality or food and beverage industry
• Excellent knowledge of franchise operations, including best practices in training, customer service, and operational efficiency
• Strong interpersonal and communication skills, with the ability to effectively train and coach individuals and teams
• Proficient in Microsoft Office suite and comfortable with using various training and reporting tools
• Passionate about the hospitality industry and committed to delivering exceptional customer experiences
• Flexible and adaptable, with the ability to work in a fast-paced, dynamic environment

What we offer
At Paris Baguette Singapore, we are committed to providing our employees with a rewarding and fulfilling work experience. In addition to a competitive salary, you will enjoy a range of benefits, including:

• Flexi health and benefit
• Opportunities for career development and advancement
• Performance Incentive Bonus
• A collaborative and supportive work environment

Job Purpose

The Research Fellow / Research Engineer (with focus on Data Analytics and Digital Dashboards) will support applied research and innovation in community and allied health by turning clinical, operational and service data into practical analytics outputs, digital dashboards, KPI trackers and evidence reports. The role focuses on hands-on data analytics, project coordination and implementation support for community care projects.

This role is focused on Data Analytics and Digital Dashboards. The candidate should have good project-management discipline and experience coordinating projects or workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through timely and usable analytics outputs.

Key Responsibilities

Applied Research & Development

• Perform clinical needs assessment and workflow analysis for organisational innovation transition, focusing on but not limited to the community and aged care sector, including nursing homes, hospitals, home-based care, and palliative care settings.
• Develop healthcare solutions and innovation roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, and care automation.
• Develop and execute healthcare innovation projects by conducting experiments, data collection, and analysis for Proof of Concept (POC) and implementation for organisations in, but not limited to, the community care sector, and simulated environments within SIT and / or the Living Lab.

Industry Collaboration

• Support collaborations with industry partners to understand problem statements and contribute to solution development.
• Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned project workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate technical reports, presentations, dashboards, project trackers, and documentation on the development, validation, deployment, and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned analytics, documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — Data Analytics and Digital Dashboards: clean, structure, analyse, visualise and report health/service data; develop dashboards, KPI trackers and management reports; support evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate data insights into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Nursing, Health Sciences, Biomedical Engineering, Clinical Research, or a related field or related disciplines with relevant experience in research, engineering, product development, or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., commercialisation, care automation, health economics).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving healthcare, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this Data Analytics and Digital Dashboards role, relevant experience in data analytics, dashboard development, business intelligence, data visualisation, health/service data management, KPI tracking, data cleaning, statistical or operational reporting, or equivalent analytics tools and methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of healthcare innovation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in data analytics and dashboards, including data cleaning, data structuring, analysis, visualisation, dashboard development, KPI tracking and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned analytics outputs and project outcomes toward the overall KPI commitments.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Build and maintain end-to-end data pipelines, including data ingestion, cleaning, validation, feature engineering, and dataset versioning.
• Develop and manage research codebases for optimization and machine learning experiments, ensuring reproducibility and scalability.
• Implement optimization algorithms (e.g., LP/MIP, heuristics, decomposition methods, simulation-based approaches) and integrate them with learning components.
• Develop internal tools (e.g., APIs, evaluation frameworks, benchmarking pipelines, dashboards) to support research workflows.
• Support large-scale experimentation, including performance optimization, parallelization, and reproducibility.
• Collaborate closely with researchers to translate conceptual models into robust, reusable implementations
• Other duties as assigned.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Industrial Engineering, Data Science, Operations Research, or a related field.
• Strong programming skills in Python; experience with production-quality code (testing, modular design, version control).
• Experience building data and/or machine learning pipelines (e.g., pandas, SQL, workflow tools).
• Experience implementing algorithms and running large-scale experiments.
• Familiarity with Linux environments, Git, and reproducible workflows (e.g., conda, Docker).
• Proficiency in using AI tools to support development and experimentation.
• Strong problem-solving, communication, and collaboration skills.
• Preference for candidate who is familiar with
  • Optimization tools (e.g., Gurobi, CPLEX, OR-Tools, Pyomo, cvxpy, JuMP)
  • Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and experiment tracking tools (e.g., MLflow, Weights & Biases)
  • Experience with cloud or HPC environments and parallel computing frameworks (e.g., Ray, Dask, MPI)
  • Experience developing internal research tools (e.g., benchmarking systems, evaluation pipelines, dashboards).

#LI-JN2

Job Summary:

The Education Operations Manager is responsible for overseeing the overall teaching quality and operational targets across multiple school locations. This role ensures effective teacher training, curriculum development, and competition planning to enhance the education experience and achieve key performance metrics.

Key Responsibilities:

1. Achievement of Teaching & Operational Goals

• Ensure the completion of all teaching and operational KPIs across 6 campuses.
• Monitor and analyze performance data to drive improvements in education delivery and student satisfaction.
• Collaborate with school managers to optimize resource allocation and teaching schedules.

2. Teacher Training & Development

• Design and implement training programs to enhance teachers’ instructional skills and methodologies.
• Conduct regular workshops, coaching sessions, and evaluations to ensure teaching excellence.
• Develop a structured onboarding process for new teachers.

3. Curriculum Development & Enhancement

• Oversee the refinement and standardization of course materials and lesson plans.
• Ensure that all course content is engaging, up-to-date, and aligned with educational standards.
• Gather feedback from teachers and students to continuously improve curriculum effectiveness.

4. Competition Planning & Training

• Develop a structured plan for academic competitions, including preparation timelines and training sessions.
• Provide strategic guidance and resources to teachers and students for competition readiness.
• Track and evaluate competition performance to enhance future training programs.

Qualifications & Skills:

• Bachelor’s degree or above in Education, Management, or a related field.
• Minimum 3-5 years of experience in education operations, training, or academic management.
• Strong leadership and project management skills.
• Experience in curriculum development and teacher training.
• Excellent communication, organizational, and problem-solving abilities.
• Familiarity with academic competitions and student engagement strategies.

About Us

We are a fast-growing robotics and STEM education center dedicated to nurturing future innovators through robotics, coding, AI, and technology education. Our programs combine hands-on learning, creativity, and international robotics competition exposure to inspire students of all ages.

Job Responsibilities

• Welcome parents and students, and introduce the robotics curriculum and learning pathways
• Handle course enquiries, registration follow-ups, and daily parent communication
• Assist in classroom coordination and student attendance to ensure smooth lesson operations
• Organize and maintain teaching materials, operational documents, and student records
• Support daily center operations and assist the teaching team when required
• Maintain positive parent-school relationships and enhance overall parent satisfaction
• Coordinate administrative and operational matters to support the smooth running of the center

Requirements

• Prior experience in education centers, enrichment centers, or training institutions is highly preferred
• Patient, caring, and enjoy interacting with children and students
• Strong communication and interpersonal skills with a service-oriented mindset
• Fluent in both English and Chinese for effective communication with parents and students
• Detail-oriented, organized, and able to multitask effectively
• Responsible and able to independently manage on-site operational matters
• Comfortable working in a fast-paced and technology-driven environment

Preferred Qualifications

• Interest or exposure in robotics, STEM, coding, or technology education
• Experience in student management, front desk operations, or customer service
• Familiarity with enrichment center operations is an advantage

What We Offer

• Dynamic and technology-driven working environment
• Opportunity to work alongside experienced robotics educators
• Exposure to international robotics competitions and STEM education systems
• Stable long-term part-time opportunity
• Career growth opportunities within the robotics and AI education industry

Working Schedule

• Full day on Saturdays and Sundays (fixed weekend schedule)

Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Robotics%29/33299-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•             Robot design.

The candidate is expected to assist in the design, fabrication, and testing of a novel robotic system based on application-related specifications.

•             Robot experiments.

The candidate is expected to support the definition of experimental protocols, in terms of trials and parameters to measure, to help with the experimental set-up, experimental validation, performance testing, and iterative improvements of developed prototypes and with the recording and analysis of experimental results.

•             Collaborate with cross-functional teams to integrate mechanical, electrical, and software components into functional robotic systems.

•             Support applied projects in collaboration with industrial partners and contribute to technology transfer efforts.

•             Present research findings at international workshops, conferences, and internal project meetings.

•             Contribute to the preparation of technical reports and assist in writing articles for publication in top-tier journals and conferences.

Qualifications

•             Mechanical Engineering degree

•             Robotics expertise: knowledge of robotics and soft robotics fundamentals, skills for robot design.

•             Research experience, even as a student, including skills for experimental research and paper preparation.

•             Hands-on experience in robotics, soft robotics, or interactive systems.

•             Proficiency in CAD software, prototyping, and mechatronics.

•             Ability to work collaboratively in a multidisciplinary team environment.

•             Strong problem-solving skills and creativity.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Manager%2C-Research-Grant-Management-Operations/33246-en_GB/

We regret that only shortlisted candidates will be notified.

About Us

We are building AI-enabled operating systems to support research translation, venture building, grant administration and commercialisation workflows. 

We work across university teams, researchers, startups, corporate partners and public funding agencies to turn complex manual processes into structured, auditable and scalable workflows.

The Role

As Manager, Research Grant Management Operations, you are responsible for the operational integrity of three funding streams: MOE De-GAP, Central GAP and Technology Development Agreement (TDA) funding.

You ensure that grant finances, claims, procurement, project progress and grantor reporting are tracked accurately, followed through consistently, and supported by reliable data.

This is a hands-on ownership role. You will lead weekly operating cadence, keep dashboards accurate, drive stakeholder follow-up, and help move grant administration away from manual work into an integrated AI-driven grant management solution.

Separately, you will support new programme reviews from an operational, overseas compliance and financial sustainability perspective, ensuring programmes are administratively workable and at minimum financially neutral unless otherwise approved.

What You'll Do

Own Grant Finance & Claims

• Monitor grant budgets, commitments, utilisation and remaining balances across De-GAP, Central GAP and TDA.
• Coordinate claims submission, supporting documents, WBS tracking and claims-related queries.
• Reconcile approved budgets, actual spend and remaining balances, and flag under-utilisation, overspend or budget risk early.
• Maintain clear, reliable financial views to support management decisions and grantor reporting.
• Manage grant audits.

Lead Procurement Coordination

• Lead the procurement follow-through for grant-funded activities, from request initiation to PO, vendor follow-up and closure.
• Coordinate with project teams, procurement, finance and vendors to resolve delays or documentation issues.
• Ensure procurement is aligned with approved budgets, grant requirements and internal policies.
• Maintain procurement status as part of the overall project dashboard.

Track Progress & Report to Grantors

• Maintain updated project milestones, deliverables, timelines and reporting commitments.
• Lead the weekly cadence to ensure project updates are current, complete and accurate.
• Prepare progress updates, management reports and grantor reports with supporting documentation.
• Flag delays, risks, changes in scope or reporting gaps early for management attention.

Maintain Dashboard Accuracy

• Maintain a single source of truth for project status, budget utilisation, procurement progress, claims and reporting.
• Ensure dashboards are updated before management reviews and reflect actual project status, not outdated inputs.
• Follow up on open actions, overdue items and missing updates across stakeholders.
• Escalate issues that require decisions, approvals or intervention.

Build the Future Grant Management Solution

• Map current manual workflows across De-GAP, Central GAP and TDA and identify bottlenecks, duplication and control gaps.
• Translate operational requirements into system requirements for an in-house AI-driven grant management solution.
• Support integration across Monday.com, Jedox, Slack, iRIMS and other relevant systems.
• Design and test workflow logic for reminders, approvals, claims tracking, reporting and dashboard updates.
• Contribute as a process owner and product user, ensuring the solution is practical, auditable and scalable.

Integrate the Three Grant Streams

• Bring De-GAP, Central GAP and TDA into one coherent grant management framework.
• Standardise tracking, reporting, claims and dashboard logic where possible.
• Document the differences in funding mechanics, approval routes, milestone tracking and reporting obligations.
• Avoid separate manual workflows by building a common operating model that can support different grant types.

Support New Programme Review

• Support new programme review as a separate scope from grant administration.
• Assess whether new programmes are administratively workable and financially neutral at minimum, unless otherwise approved.
• Check overseas compliance considerations, funding source, cost recovery, claims process and reporting obligations.
• Flag unfunded, non-compliant or operationally unsustainable commitments before programme launch.

Partner Across Functions

• Work closely with Principal Investigators, project leads, grantors, finance, procurement, vendors, automation teams and internal management.
• Translate operational issues into clear actions, owners and timelines.
• Follow up firmly and professionally to keep work moving.
• Keep management informed of risks, delays and decisions required.

Please be informed that only shortlisted candidates will be notified.

Qualifications

• 5+ years of strong project, programme or grant administration experience.
• Experience managing budgets, claims submission, procurement tracking and reporting.
• Good financial literacy and comfort with WBS structures, budget monitoring and claims documentation.
• Strong follow-through and ability to lead weekly operating cadence.
• Ability to maintain accurate dashboards, trackers and reporting views.
• Strong stakeholder management skills across finance, procurement, project teams and management.
• Attention to governance, compliance, audit trail and reporting discipline.
• Comfort operating in an environment where processes are still being built.

Bonus Points For

• Experience working with AI tools to improve process efficiency.
• Experience supporting automation, workflow redesign or systems implementation.
• Experience integrating multiple workflows into one operating model.
• Experience with grant administration, research funding, public funding or commercialisation funding.
• Experience with systems such as Monday.com, Jedox, Slack, iRIMS, SAP, BMC Helix, Submittable or Xero.
• Exposure to overseas programme administration, compliance checks or cost recovery models.

Why Join Us?

This is a chance to help build the operating backbone for research translation and venture creation. You will sit close to the work, the data and the decisions — supporting grants today while helping build the AI-enabled system that makes the function more scalable tomorrow.

Responsibilities

• Develop and iterate on locomotion controllers and motion policies for a legged platform
• Train and evaluate policies in simulation across walking, recovery, stair climbing, and load-bearing behaviors
• Design reward functions, curriculum schedules, and training infrastructure for real-world robustness
• Drive systematic sim-to-real transfer and hardware iteration
• Integrate locomotion outputs with the broader autonomy stack
• Collect and analyze hardware telemetry to guide policy improvement

Requirements

• Strong foundations in reinforcement learning, optimal control, and rigid body dynamics
• Hands-on experience training or deploying locomotion and motion control policies on physical legged robots, gained through industry or research work
• Proficient in Python, with strong JAX or PyTorch experience
• Experience with physics simulation environments such as MuJoCo, Isaac Gym, Genesis, or equivalent
• Practical experience closing the sim-to-real gap on a real platform
• Candidates with limited industry experience are welcome to apply, provided this is supported by strong relevant academic or research work, such as a thesis, publications, or hands-on robotics projects

Tyson Jay Management Pte Ltd | EA License No.: 24C2479 

Ivan Lim | EA Personnel No.: R1109856

We are looking for a research engineer to customize and make our ground penetrating radar market ready. The role will focus on the hardware side of the project which involves the miniaturization of the GPR, antenna fabrication and integration, product improvement and customization for the market.

Key Responsibilities:

• Ground penetrating radar miniaturization, customization and integration

• Improve the product performance and make the product more appealing to the market

• Interact and coordinate with industry and customers to provide a service

• Present the product and explain the product well

• Help to raise funds for a spin-off and do marketing for the product.

• Other administrative duties as required.

Job Requirements:

• Bachelor qualification degree in Electrical and Electronic Engineering or related field

• At least some of relevant experiences in similar role / technical hands-on experience in hardware integration

• Familiarity with funding system in Singapore

• Good written and oral communication skills

• Proficiency in hardware integration, system programming

• Competent in hands-on work, presentation and fund raising.

• Interpersonal skill such as develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills.

• Entry level candidates are welcome to apply

We regret to inform that only shortlisted candidates will be notified.

Job Title: AI Research Engineer - Vision-Language Action Models

Griffin Labs is looking for a Founding AI Research Engineer to lead the adaptation and deployment of Vision-Language-Action (VLA) models. We are focused on solving high-dexterity manipulation through cross-embodiment learning—training models that generalize across diverse robotic platforms and hardware configurations.

The Role

You will own the full development lifecycle of autonomous capabilities. This is an end-to- end mission: from reviewing raw trajectory data and designing model architectures to deployment and fleet-level monitoring. You aren’t just training models; you are building the systems that allow them to function in the real world.

Key Responsibilities:

• End-to-End Ownership: Lead the "data-to-deployment" loop—curating datasets, fine-tuning VLA models, and building the monitoring systems that ensure fleet-level reliability.

• Cross-Embodiment Learning: Develop and optimize models capable of handling diverse robot morphologies and kinematic constraints.

• Model Adaptation: Architect and fine-tune VLA stacks that bridge high-level reasoning with low-level whole-body control.
• Academic Collaboration: Work alongside expert research advisors from institutions like Stanford, NTU, and SUTD to push the boundaries of what's possible in robotics.

• Validation: Design robust evaluation metrics in Isaac Sim/MuJoCo and bridge the Sim2Real gap for a production fleet.

Requirements

• Technical Depth: A strong fundamental understanding of Transformers, Diffusion architectures, and LLMs/VLMs, particularly as they apply to sequential decision-making or action prediction.

• ML Expertise: Deep proficiency in PyTorch and experience fine-tuning large-scale multimodal models.

• Cross-Embodiment: A strong interest or background in generalizing AI across different robot types.

• Simulation: Fluency in environments like Isaac Sim or MuJoCo and the nuances of the "Reality Gap."

• Software Foundations: High proficiency in Python.

• Founding Mindset: High agency and the ability to build necessary tooling, scripts, and evaluation frameworks from scratch.

Why Griffin Labs?

We are a lean, technical team moving at the pace of frontier AI. As a founding hire, you will have a direct hand in shaping our technical North Star and defining how the next generation of robots learns from the world

About the Role 

The Advanced Remanufacturing and Technology Centre (ARTC) is looking for a Lead / Senior Solution Architect to drive the design and implementation of enterprise-scale agentic AI systems for industrial and enterprise applications. This role focuses on architecting AI-enabled platforms and workflows that leverage LLMs, tool orchestration, autonomous agents, enterprise integrations, and scalable cloud-native systems to support intelligent operations and decision-making. You will work closely with engineering teams, AI researchers, and business stakeholders to shape technical strategy, define system architectures, and lead the delivery of production-grade AI solutions. We are looking for experienced architects who combine strong software engineering and system design capabilities with deep interest in emerging agentic AI technologies and practical enterprise adoption. 

Key Responsibilities

• Architect and lead development of enterprise-scale agentic AI systems and platforms 
• Design AI orchestration workflows involving LLMs, tools, agents, and enterprise integrations 
• Define scalable, secure, and reliable system architectures and engineering practices 
• Collaborate with stakeholders to translate operational needs into AI-enabled solutions 
• Evaluate and adopt emerging technologies related to agentic AI and enterprise AI systems 
• Provide technical leadership and mentorship to engineering teams 

Job Requirements

• Degree in Computer Science, Software Engineering, or related fields 
• Strong experience in software architecture, backend systems, or enterprise platform development 
• Experience designing scalable cloud-native or distributed systems 
• Familiarity with LLMs, AI application architectures, and orchestration frameworks 
• Interest or experience in agentic AI systems, automation workflows, or multi-agent applications 
• Strong communication, problem-solving, and stakeholder management skills 

Good to have 

• Experience with cloud platforms such as Azure, AWS, or GCP 
• Familiarity with Docker, Kubernetes, CI/CD pipelines, or MLOps practices 
• Experience building AI-enabled enterprise applications, copilots, or intelligent automation solutions 
• Exposure to AI governance, observability, or security considerations for AI systems 
• Experience working with manufacturing, industrial systems, or enterprise digital transformation initiatives 

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities:

• Design and develop mechanical components, tooling, fixtures, and experimental setups to support welding, joining, and additive manufacturing processes.
• Create 3D CAD models and detailed engineering drawings for mechanical assemblies, test rigs, and manufacturing equipment.
• Support the design, fabrication, and assembly of prototype systems and hardware modules for research and development projects.
• Evaluate and select appropriate materials, manufacturing methods, and fabrication processes for designed components.
• Conduct mechanical analysis and validation of designs, including structural, thermal, or vibration considerations where required.
• Support prototype build, testing, and troubleshooting of mechanical systems and experimental platforms.
• Collaborate with internal teams, suppliers, and manufacturing partners for component fabrication, procurement, and system integration.
• Contribute to the development and improvement of mechanical hardware and equipment used in robotic welding, joining, and additive manufacturing systems.
• Support the group's process development activities, including experimental trials, setup of test configurations, data collection, and evaluation of process performance.
• Participate in concept development, feasibility studies, and technology development projects related to advanced manufacturing processes.
• Prepare and maintain technical documentation, including design reports, engineering drawings, test procedures, and project documentation.
• Support equipment setup, maintenance, and continuous improvement of laboratory and manufacturing systems.
• Ensure compliance with safety procedures, risk assessments, and laboratory best practices.
• Support other technical activities within the team, group, or organisation as required.

Job Requirements

Minimum Requirements (Must-have)

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Materials Engineering, or a related discipline.
• Strong foundation in mechanical design and engineering fundamentals, including structural mechanics, material behavior, and manufacturing processes.
• Experience with mechanical CAD and 3D modelling tools (e.g., SolidWorks, Inventor, Creo, NX or equivalent) for design and engineering documentation.
• Experience in designing mechanical components, tooling, fixtures, or assemblies for manufacturing or experimental systems.
• Good understanding of manufacturing techniques and fabrication processes, such as CNC machining, metal fabrication, additive manufacturing, or prototyping methods.
• Experience preparing engineering drawings and technical documentation, including basic understanding of Geometric Dimensioning and Tolerancing (GD&T).
• Hands-on experience with prototyping, testing, and mechanical system troubleshooting.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work both independently and collaboratively in a multidisciplinary engineering environment.
• Strong written and verbal communication skills.
• Ability to work in a dynamic research and development environment and adapt to evolving project requirements.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment.

The School plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond.

The School’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

For more details, please view https://www.ntu.edu.sg/cee

We are looking for a Research Engineer I to join a CITIES OF TOMORROW (CoT) R&D project for VERTICAL 5: CITY IN NATURE. The project plays a pivotal role in ensuring a resilient urban environment against climate change and contributes to NTU strategic research in Resilient Urbanisation & Natural Ecosystems that is aligned with Singapore’s national Research, Innovation and Enterprise 2025 plan.

Key Responsibilities:

• Assist in field and laboratory tests

• Develop test protocols

• Compile test data and maintain database

• Conduct analysis and evaluation

• Assist to prepare budgets, reports and papers

Job Requirements:

• Bachelor’s degree in relevant discipline or related field

• Ability to work both indoors and outdoors

• Good written and oral communication skills for report writing

• Knowledge of software like Python and 3D modelling software will be an advantage.

• Class 3 driving license (Singapore) will be an advantage.

We regret to inform that only shortlisted candidates will be notified.

We are seeking an innovative and technically skilled researcher to join our team, specializing in adaptive machining. is a key technology for generative and regenerative applications at the heart of ARTC’s remanufacturing and manufacturing research. We are looking for people with the passion and drive to join us as part of the Remanufacturing Process Technology (RPT) Group. The scope of the role will be to work on research in advancing machining technologies by integrating adaptive techniques, leveraging knowledge in CNC machining, CAD/CAM programming, software development, and basic Artificial Intelligence (AI) concepts. This role provides an exciting opportunity to contribute to cutting-edge research aimed at improving efficiency, precision, and sustainability in machining processes.

Responsibilities:

• Perform research, conduct experimental work and analysis in a project-based environment
• Lead / Support the technical execution and delivery of projects, including project scoping activities and industrial customer engagement as well as capability development in line with the technical roadmap of the Group and Division, fostering collaboration with other teams / groups / research entities as needed
• Conduct research on adaptive machining techniques, including automated decision-making systems, dynamic process adjustments, toolpath optimization, scanning and data gathering technologies, and machine to machine communication.
• Algorithm Development: Design, develop, and implement algorithms for 3D data analysis for feature recognition and machining strategy selection for automatic tool path generation, and adaptive machining. Collaborate with cross-functional teams to integrate these algorithms into existing machining systems.
• Data Analysis: Analyse large datasets generated from machining operations to identify patterns, anomalies, and optimization opportunities. Develop predictive models to optimize machining parameters and improve overall efficiency.
• Documentation and Reporting: Prepare technical reports, documentation, and presentations to communicate research findings, project progress, and recommendations to stakeholders. Publish research papers in relevant journals and present findings at conferences and seminars.
• Technical Innovation Culture: Mentor and coach interns, fostering a culture of technical innovation and excellence.
• Any other ad-hoc work for the team, Group, Organisation and A*STAR with possible secondary roles

Job Requirements:

• At least a Bachelor’s Degree in in Mechanical Engineering, Manufacturing Engineering, Computer Science, or a related field.
• Prior experience of CNC machining, familiarity with machining processes and equipment, knowledge of machine communication (OPC-UA, TCP/IP) is advantageous.
• Proficiency in CAD/CAM/CAE software, preferably in Siemens NX / Solidworks / PowerMill
• Proficiency and/or knowledge in programming languages such as Python, VB.Net, C#, C++, MatLab, etc.
• Preferably with experience working in an industry-driven R&D environment
• Fluency in English with good written, spoken and comprehension skills
• Ability to communicate, interact and work professionally in a collaborative environment as a team player
• Ability to work in a dynamic fast-paced environment in an agile manner to adapt to fast-changing requirements of internal and external stakeholders
• Ability to think critically and is problem-solving oriented
• Ability to work effectively and independently
• Ability to demonstrate high level of initiative to learn and adapt new technologies to stay relevant

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Bachelor Degree in Software Engineering/Computer Science/Information Systems.
• Minimum 1 year of relevant research experience in AI for Software Engineering research.
• Research capability as evidenced by tangible deliverables i.e., at least a first-authored papers in major (SCIS A orCORE A or CCF B) conference / journal in the field of AI or software engineering.
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverables i.e., at least a first-authored papers in major (SCIS A orCORE A or CCF B) conference / journal in the field of AI or software engineering.

#LI-JN2

Location: Singapore
Group: Surface Remanufacturing Technology (SRT), SIMTech / A*STAR

About the Group

The Surface Remanufacturing Technology (SRT) Group at SIMTech develops advanced surface engineering, coating, and finishing technologies for industrial applications. Projects are often industry-driven or competitively funded, involving both fundamental R&D and translation into practical, production-scale processes.

Role Summary

You will execute and support research in laser material processing, ranging from laser surface texturing, laser cleaning, laser micro-machining, laser peening, and laser metal deposition. The role will also involve supporting characterization work, such as optical microscope and SEM imaging, sample preparation, residual stress and fatigue life measurement, analyzing of data and compilation, and overseeing other day-to-day activities such as procurement, equipment maintenance and laboratory supervision as required.

Key Responsibilities

• Support and execute R&D efforts in laser material processing.
• Conduct experimental trials; optimise process parameters to meet functional requirements (wear resistance, water affinity, surface hardness and roughness etc.).
• Perform materials and microstructural characterisation: sample preparation (sectioning, mounting, polishing, etc.), microscopy (optical, SEM), surface energy measurements, hardness / mechanical testing, etc.
• Troubleshoot and improve process stability, texture uniformity, reproducibility, and scalability; understand failure modes and address issues.
• Collaborate with multidisciplinary teams (materials scientists, mechanical engineers, surface metrology experts) and with industrial partners for technology transfer.
• Stay up to date on emerging laser processing technologies and contribute to the evaluation and incorporation of new techniques (e.g. novel optics, process monitoring and control, simulation and modelling, machine learning).

Qualifications & Experience

Essential:

• Bachelor's degree in Materials Science, Mechanical Engineering, Surface Engineering, or a related field.
• Good foundation in optics and light properties, materials and microstructure, surface properties and composition, thermodynamics and heat transfer
• Good understanding of experimental design, such as making reasonable hypotheses, crafting experiments and optimising process parameters, collecting and data analysis and compilation
• Experienced in material characterisation tools: microscopy (optical, SEM), wear testing, hardness testing, etc.
• Good communication skills, able to work well with others, able to articulate one’s thoughts and present one's work, motivated and hardworking

Desirable:

• Knowledge of post-processes (surface chemical grafting, surface passivation, coating overlay).
• Knowledge in python or other machine learning languages; experience in software such as Autocad/Creo, Rstudio, Labview etc.
• Project management experience; ability to guide junior researchers / engineers / lab officers

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are seeking a Research Engineer to support the scale up of the synthesis of nanomaterials and the development of a more cost effective synthetic route to achieve some of these materials. This role involves extensive use of wet chemistry lab facilities, characterization tools and planning and coordinating of the meetings with company and other stakeholders. The successful candidate will work closely with the research team under Prof Lam Yeng Ming to develop scale up processes and also planning and coordination of the project.

Key Responsibilities:

• Carry out the synthesis of nanostructured materials.

• Conduct advanced characterization on porous particles including SEM/BET/etc.

• Develop workflow for scaling up of processes.

• Generate/Write reports.

• Collaborate with internal and external stakeholder on the various studies in the different labs

• Mentoring interns.

• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.

• Produce high quality reports and documents that consolidate research findings.

Job Requirement:

• Diploma in Materials Science, Chemical Engineering, Chemistry, or a related field.

• Some relevant technical hands-on experience in synthesis and working in a wet laboratory environment.

• Some experience morphological/structural techniques for materials characterization.

• Ability to work independently and as part of a team with strong initiatives.

• Good communication and written skills.

• Responsible and passionate self-starter.

• Ability to work independently and develop robust solutions under strict timelines.

• Meticulous and organized, with a strong eye for detail and excellent time management skills.

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Operations-Research-&-Analytics%29/33202-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a Research Assistant to support research in machine learning and operations research, with a focus on multi-agent reinforcement learning and stochastic inventory control.

Responsibilities

• Conduct research on multi-agent reinforcement learning.
• Complete both the queueing version and the general version of the research project.
• Support the completion and submission of a paper on stochastic inventory control with latent queues.
• Perform mathematical analysis, programming, simulation, and model development as needed.
• Collaborate with team members on research design, implementation, and writing.
• Contribute to preparing research outputs, including reports, presentations, and manuscripts.

Qualifications

• A completed bachelor’s degree in management science, business, computer science, industrial engineering, or a related field.
• Evidence of the ability to conduct high-quality research.
• Strong background in mathematics and programming.
• Strong problem-solving skills.
• Ability to work effectively in a collaborative team environment.
• Excellent communication skills.

About Fragment Works and Moment AI

FRAGMENT WORKS PTE. LTD. is a Singapore-incorporated technology company operating the Moment AI platform at https://momentvideo.ai/.

Moment AI is a leading VC-backed video AI foundation model company developing advanced video AI technologies and business-to-business infrastructure for enterprise customers. The company focuses on building scalable, production-grade video AI systems that support real-world commercial applications across video generation, video understanding, model deployment, and model-sales operations.

Through API-based capabilities, Moment AI serves companies in the short-video, creator economy, advertising, media, and AI application sectors. Its platform is designed to help enterprises integrate video AI into their products and workflows efficiently, enabling automated content creation, intelligent video analysis, and next-generation AI-powered media experiences.

Moment AI is founded by a team of video industry veterans with deep operational and technical experience in scaling short-video platforms to millions of users. The founding team brings together battle-tested entrepreneurs, infrastructure builders, and AI researchers with hands-on experience across video platforms, creator ecosystems, high-concurrency video infrastructure, and multimodal AI.

About the Role

We are building our own foundation model for video generation, based on DiT and Flow Matching architectures. We are looking for a Training Infrastructure Engineer who can turn cutting-edge research code into a stable, scalable, and high-throughput training system running on large-scale GPU clusters.

This role is ideal for an engineer who enjoys solving deep systems problems at the intersection of distributed training, CUDA performance, video data pipelines, model training stability, and large-scale ML infrastructure. You will work closely with researchers and platform engineers to ensure that our video generation training stack can reliably produce results at the thousand-GPU scale.

Key Responsibilities

• You will design, optimise, and maintain large-scale distributed training systems for video generation foundation models. This includes implementing and improving training strategies such as FSDP, tensor parallelism, context parallelism, and Ulysses-style sequence parallelism, with a strong focus on improving throughput, scaling efficiency, and MFU.
• You will build and optimise PB-scale video data pipelines, including NVDEC-based video decoding, VAE latent caching, variable-resolution bucket sampling, and efficient data loading for high-throughput model training.
• You will work on memory and performance optimisation across the training stack, including FlashAttention,FP8 mixed precision, Triton kernels, CUDA-aware profiling, activation check pointing strategies, and communication-computation overlap.
• You will also be responsible for training stability and reliability. This includes identifying the root causes of loss spikes, divergence, slow nodes, communication bottlenecks, check point failures, and data-related instability, as well as designing mechanisms for fast checkpoint recovery and automatic exclusion of problematic nodes.

Requirements

• The ideal candidate has strong hands-on experience with PyTorch distributed training and a solid understanding of CUDA architecture, GPU memory hierarchy, NCCL communication, and performance profiling.
• You should have source-level familiarity with at least one major large-scale training framework, such as Megatron-LM, DeepSpeed, PyTorch FSDP, or TorchTitan, and be comfortable reading, modifying, and debugging framework internals.
• You should have at least one year of practical experience training models on large GPU clusters of 256 GPUs or more, with proven experience in debugging distributed training failures and improving system-level training efficiency.
• Strong candidates will be able to reason across the full training stack, from data ingestion and model parallelism to kernel-level optimisation and fault-tolerant training operations.

Preferred Qualifications

• Experience with DiT, diffusion models, Flow Matching, or video generation models would be highly advantageous.
• Experience processing large-scale video datasets, building video decoding pipelines, or working with VAE latent caching systems would be a strong plus.
• Hands-on experience writing or optimising Triton, CUDA, or CUTLASS kernels would be valuable.
• Familiarity with open-source video generation projects such as HunyuanVideo, Wan, CogVideoX, or similar systems at source-code level would also be beneficial.

What We Offer

You will work with real large-scale compute resources, including access to thousand-GPU-level training infrastructure. You will join a team that treats large-scale model training as a rigorous engineering discipline, not just a research experiment.

We provide an environment where engineers can work on technically meaningful infrastructure problems, collaborate closely with frontier model researchers, and contribute to open-source or publication work where appropriate and within applicable compliance boundaries.

Employment Practices

We are committed to fair and merit-based hiring. All candidates will be assessed based on job-related skills, experience, and ability to perform the role. We welcome applications from qualified candidates and do not discriminate on the basis of age, race, gender, religion, marital status, family responsibilities, disability, or other non-job-related characteristics.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Machine-Learning-and-Optimization-in-Chemical-Engineering%29%2C-ChBE/33284-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer 

•    will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 

•    will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control and optimization, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Machine-Learning-and-Optimization-in-Chemical-Engineering%29%2C-ChBE/33281-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer 

•    will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 

•    will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control and optimization, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus