Total 167 Education / Training job vacancies

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

The candidate will be responsible for conducting design and development of sensor networks and Internet-of-Things (IOT) systems for in-home sensing and machine learning models for analyzing digital biomarkers and human activity data for the purpose of cognitive health monitoring and wellbeing analysis. Successful candidate will join an active research team led by Prof TAN Ah Hwee from School of Computing and Information Systems, Singapore ManagementUniversity.

Candidate's core responsibilities are:

• Project administration, user management
• Design, deployment and maintenance of sensor networks and Internet of Things (IOT) system for in-home sensing of human behaviour and activities
• Integration of in-home sensors, home gateway, and backend cloud servers for data collection
• Development of software for digital biomarker feature extraction and data analytics
• Building of machine learning and predictive models based on digital biomarkers and spatial temporal data
• Documentation and preparation of technical reports
• Other duties as assigned

• Diploma or Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an nstitution of higher learning
• Minimum 1-2 years of relevant research experience with sensors, Internet-of Things, data analytics, artificial intelligence, or related fields
• Good analytical, technical and problem solving skills
• Knowledge/Proficiency in hardware sensors, cloud computing, networking and programming languages, such as Python, Java and C/C++• Competency in application prototype design and development
• Good writing, communication and interpersonal skills

#LI-JN2

Innovation-as-a-Service Centre for Sustainability Innovation (IaaS CSI) is an ecosystem-level platform helmed by SIT to support innovation projects (from POC test-bedding to implementation) and talent development, thus enabling agencies and enterprises to accelerate innovation for the green economy.

IaaS CSI aims to champion innovation within Singapore innovation ecosystem by bringing together capabilities from Universities, Polytechnics, ITE, Research Institutes, Industry. It is supported by the National Research Foundation (NRF) and staffed by Professional Officers/RE/RF who will serve as “Connectors” linking the industry to the research performers.

Research Engineers/Research Fellows work with industry partners to co-create commercially viable solutions. They deliver projects that help the industries and businesses move up the value chain. While working on these projects, RE/RF will have the opportunity to leverage or be equipped with applied research skill sets that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key industry stakeholders that will translate industry engagement into more innovation projects with SIT and/or the greater ecosystem at large.

The RE/RF for Centre for Sustainability Innovation will play a pivotal role in advancing sustainability-focused research and projects that are relevant to the maritime domain, built environment, food and chemicals, healthcare, and others. Collaborating closely with faculty, industry partners, researchers, and students, the RE/RF will co-create impactful, practical, and commercially viable solutions that address critical sustainability challenges, encompassing environmental, social, and economic dimensions.

Key Responsibilities:

Applied Research and Innovation:

• Lead and manage projects focused on sustainability innovation, including carbon accounting and management, renewable energy, circular economy, sustainable materials, and carbon reduction technologies.
• Support life cycle analysis (LCA), environmental impact assessments, and resource optimization studies to address real-world sustainability challenges.
• Explore emerging technologies, frameworks, and practices to advance sustainable solutions in industries.

Industry Engagement:

• Technical professionals who will work with local enterprises to frame projects, identify capabilities needed from the industry ecosystem, IHLs and centers.

• Collaborate with industry partners to co-create sustainable solutions that enhance their operations and align with sustainability goals.
• Foster partnerships with businesses, government agencies, and other stakeholders to develop impactful projects that enhance environmental, social, and economic outcomes.
• Involve in industry engagements, help to bring in higher value-added projects for the centres in SIT, Polytechnics, ITE and other IHLs and RIs.
• Identify emerging trends and opportunities in sustainability to position SIT as a key partner in environmental sustainability innovation.

Project Management

• Secure funding for research and innovation projects through grant applications and proposals.
• Oversee the planning, execution, and delivery of sustainability-related projects, ensuring timely completion and high-quality outcomes.
• Monitor project progress, budgets, and milestones, providing regular updates to stakeholders.

Professional Development and Expertise

• Stay updated with developments in sustainability innovation, including new technologies, regulations, and industry practices.

Job Requirements:

• A degree in Environmental Science, Environmental Engineering, Engineering with sustainability training, or a related field. A Master’s or PhD is preferred.
• At least 5 years of relevant industry experience, with a proven track record in sustainability innovation and ESG integration.
• Strong knowledge of environmental technologies, resource management, and sustainable business practices.
• Familiarity with relevant sustainability certifications and standards, such as ISO 14044, etc.
• Experience in life cycle analysis, carbon accounting, ESG reporting, and sustainability metrics.
• Strong analytical, project management, and communication skills.
• Possession of relevant industry certifications in sustainability or ESG is an advantage.
• Experience in writing project proposals and grants will be an added advantage.
• Extensive experience and knowledge of industry practices to bring industry perspective to SIT.
• Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems.
• Strong supervisory skills and enjoy working closely with students in an educational environment.
• Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.

Key Competencies:

• Strong understanding of the sustainability challenges faced by industries and the market landscape in Singapore and the region.
• Strong interpersonal and communication skills to collaborate effectively with industry partners, students, and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and professional development in the sustainability 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, execution, and monitoring of sustainability projects.

Job Purpose

The primary responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day-to-day technical execution of the project.

Key Responsibilities

• Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging.
• Support experimental setup, data collection, phantom preparation, system calibration, and routine operation of imaging hardware and associated measurement equipment.
• Conduct bench top and phantom experiments according to defined protocols, and assist in organizing, processing, and documenting experimental data.
• Develop and maintain software scripts, processing pipelines, and visualization tools for imaging experiments and performance evaluation.
• Support system integration activities involving sensors, data acquisition hardware, software interfaces, and computational workflows.
• Help prepare technical documentation, reports, figures, and datasets needed for project reviews, publications, and presentations.
• Maintain laboratory records, inventory, and equipment logs, and support procurement, setup, and troubleshooting of components and consumables.
• Assist in training and supporting students or project users in the use of the developed systems and software.
• Perform other project-related technical duties assigned by the Principal Investigator or senior research staff.

Job Requirements

• MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology, Instrumentation, Computer Engineering, Signal Processing, or a related field.
• Good knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development.
• Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments.
• Experience in experimental work, data collection, and system troubleshooting is desirable.
• Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable.
• Ability to follow technical protocols accurately and to maintain clear documentation of work performed.
• Ability to work effectively both independently and under the guidance of senior researchers.

Key Competencies

• Technical aptitude and practical problem-solving ability.
• Good programming and data handling skills.
• Careful and systematic approach to experiments, testing, and documentation.
• Attention to detail and commitment to data quality and reproducibility.
• Willingness to learn new technical skills and adapt to evolving project needs.
• Good teamwork and communication skills.
• Ability to manage time effectively and support multiple concurrent project activities. 

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.

Our client is a private education institution. Due to business needs, they are now recruiting a Lecturer for Graphic Design to be part of their Team for ongoing transformation projects. They are located in the Central - easily accessible.

Key Responsibilities:

• Provide effective academic support to the School in teaching and maintaining academic standards
• Plan, prepare, and deliver lectures, tutorials, and asynchronous learning activities across diverse student groups, including international cohorts where required
• Design, administer, and mark coursework and examinations in line with academic requirements
• Review and ensure the quality and standardization of examination papers within the area of specialisation
• Periodically review and enhance programmes to ensure relevance, quality, and alignment with industry needs
• Evaluate and recommend appropriate teaching and learning materials to support programme outcomes
• Develop and implement online and blended learning strategies
• Support the Assistant Director (Academic) in identifying and developing new programmes for school growth
• Assist in the development and management of academic partnerships and collaborative courses
• Contribute to audits, inspections, and academic quality assurance processes

Requirements:

• Masters/Degree Holder

• 3-4 years of experience with Teaching experience preferred.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R25157233 (Loh Pooi Keng)

Our client is a private education institution. Due to business needs, they are now recruiting a Lecturer for Graphic Design to be part of their Team for ongoing transformation projects. They are located in the Central - easily accessible.

Key Responsibilities:

• Provide effective academic support to the School in teaching and maintaining academic standards
• Plan, prepare, and deliver lectures, tutorials, and asynchronous learning activities across diverse student groups, including international cohorts where required
• Design, administer, and mark coursework and examinations in line with academic requirements
• Review and ensure the quality and standardization of examination papers within the area of specialisation
• Periodically review and enhance programmes to ensure relevance, quality, and alignment with industry needs
• Evaluate and recommend appropriate teaching and learning materials to support programme outcomes
• Develop and implement online and blended learning strategies
• Support the Assistant Director (Academic) in identifying and developing new programmes for school growth
• Assist in the development and management of academic partnerships and collaborative courses
• Contribute to audits, inspections, and academic quality assurance processes

Requirements:

• Masters/Degree Holder

• 3-4 years of experience with Teaching experience preferred.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R25157233 (Loh Pooi Keng)

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.

Job Purpose

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. 

The primary responsibility of this role is to contribute to an industry innovation research project on developing artificial intelligence (AI) solutions for train operations and maintenance. 

Key Responsibilities

• Work closely with faculty members, researchers, students, and collaborators on research activities and technology development.
• Support research and development in Artificial Intelligence and related areas for train operations and maintenance.
• Assist in the coordination and management of the research project.
• Coordinate finance tracking, reporting, and communications with industry and research partners. 

Job Requirements

• Bachelor/Master/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines.
• Experience in project management, research administration, or coordination of large-scale projects is highly preferred.
• Familiarity with finance management, budget tracking, procurement, or grant administration will be an added advantage.
• Experience in areas such as Machine Learning, Deep Learning, Computer Vision, Large Language Models, Data Analytics, or Intelligent Systems will be advantageous.

Key Competencies

• Prior experience in research project coordination and management
• Basic knowledge about finance tracking and reporting
• Capabilities of communication and organisational skills

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

Our client is a private education institution. Due to business needs, they are now recruiting a Lecturer for Graphic Design to be part of their Team for ongoing transformation projects. They are located in the Central - easily accessible.

Key Responsibilities:

• Provide effective academic support to the School in teaching and maintaining academic standards
• Plan, prepare, and deliver lectures, tutorials, and asynchronous learning activities across diverse student groups, including international cohorts where required
• Design, administer, and mark coursework and examinations in line with academic requirements
• Review and ensure the quality and standardization of examination papers within the area of specialisation
• Periodically review and enhance programmes to ensure relevance, quality, and alignment with industry needs
• Evaluate and recommend appropriate teaching and learning materials to support programme outcomes
• Develop and implement online and blended learning strategies
• Support the Assistant Director (Academic) in identifying and developing new programmes for school growth
• Assist in the development and management of academic partnerships and collaborative courses
• Contribute to audits, inspections, and academic quality assurance processes

Requirements:

• Masters/Degree Holder

• 3-4 years of experience with Teaching experience preferred.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R25157233 (Loh Pooi Keng)

Company Overview

Hustle is a modern learning community in Singapore that upgrades creative skills through courses in Design, Digital Art, Videography, Sound Mixing, and more.

Job Summary

We are seeking a dynamic and hands-on Training Executive to deliver engaging learning experiences in media, design, and AI. This role focuses on training delivery, facilitation, and operational support, ideal for those who enjoy working directly with learners and bringing content to life.

Responsibilities

Training Delivery & Facilitation

• Conduct classroom and workshop sessions teaching graphic design using tools like Canva and Adobe Creative Suite to develop practical skills
• Deliver photography and videography lessons covering shooting and editing fundamentals to enhance learner creativity
• Teach AI tools and applications, including LLMs and generative AI, to equip learners with current digital competencies
• Facilitate hands-on activities, exercises, and learner projects to reinforce skill application
• Provide clear, actionable guidance and support to learners during sessions to maximize engagement and understanding
• Deliver constructive feedback to learners to support continuous improvement and learning outcomes

Training Operations Support

• Prepare and set up training sessions and materials to ensure readiness and smooth delivery
• Manage attendance and maintain accurate learner records for programme tracking
• Support basic administrative documentation to facilitate programme operations
• Ensure smooth execution of training sessions by coordinating logistics and resolving issues promptly

Collaboration & Development

• Collaborate closely with internal teams including operations, marketing, and compliance to align training with organisational goals
• Stay updated on emerging trends in media, design, and AI tools to keep training content relevant and innovative
• Continuously improve training delivery methods and materials based on learner feedback and industry developments

Preferred competencies and qualifications

• Advanced Certificate in Learning and Performance (ACLP) preferred
• Relevant experience in training, media, content creation, or related fields preferred
• Strong working knowledge of graphic design tools (Canva, Adobe Creative Suite)
• Proficiency in photography and videography techniques
• Familiarity with AI tools and digital workflows
• Confident public speaking skills and ability to engage adult learners
• Good organisational and time management skills

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.

The School of Art, Design and Media (ADM) at NTU invites applications for a Part-Time Research Assistant to support the CoHASS Research Support Grant project AI and Quantum Visualization: Artistic Dissemination for Public Engagement. Led by A/P Ina Conradi Chavez, the project disseminates interdisciplinary art–science research through international exhibitions, digital platforms, and publications. Works have been presented at Ars Electronica, MEET Milan, and Quantum Perspective at The Arts House, Singapore. This is a hands-on creative dissemination role for a self-driven Visual Communication professional passionate about art–science communication and digital storytelling.

Key Responsibilities:

• Create and manage social media content including reels, graphics, and short-form video across Instagram, LinkedIn, and related platforms

• Develop and maintain the project's visual identity and branding across digital and print touchpoints

• Design exhibition collaterals: posters, brochures, postcards, and catalogue layouts

• Support exhibition curation, installation flow, and event coordination for local and international venues

• Document research outputs and compile archival materials for publication and grant reporting

• Assist with grant workflow administration and preparation of dissemination materials

Job Requirements:

• Bachelor’s in Visual Communication, Graphic Design, Interactive Media, or related field

• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) or equivalent design tools

• Demonstrated experience in social media content creation and short-form video/reels editing

• Strong visual design sense across digital and print media

• Interest in media art, art–science, or research communication

• Portfolio of design and/or social media work required

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

Our client is a private education institution. Due to business needs, they are now recruiting a Lecturer for Graphic Design to be part of their Team for ongoing transformation projects. They are located in the Central - easily accessible.

Key Responsibilities:

• Provide effective academic support to the School in teaching and maintaining academic standards
• Plan, prepare, and deliver lectures, tutorials, and asynchronous learning activities across diverse student groups, including international cohorts where required
• Design, administer, and mark coursework and examinations in line with academic requirements
• Review and ensure the quality and standardization of examination papers within the area of specialisation
• Periodically review and enhance programmes to ensure relevance, quality, and alignment with industry needs
• Evaluate and recommend appropriate teaching and learning materials to support programme outcomes
• Develop and implement online and blended learning strategies
• Support the Assistant Director (Academic) in identifying and developing new programmes for school growth
• Assist in the development and management of academic partnerships and collaborative courses
• Contribute to audits, inspections, and academic quality assurance processes

Requirements:

• Masters/Degree Holder

• 3-4 years of experience with Teaching experience preferred.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R25157233 (Loh Pooi Keng)

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.

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

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.

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.

Our client is actively searching for a Full Time Lecturer (Media, Communication & Graphic Design) to join their team!

If you are a dynamic individual seeking a new career opportunity, read further!

The responsibilities of this role are:

Learning, Teaching, and Assessment

• Provide effective support to the School in teaching, including development and maintenance of academic standards.
• Plan, prepare and deliver lessons and set assessment and learning activities to a range of classes (lecturers/tutorials/asynchronous) and age groups of students (including overseas colleges, if required).
• Administer the setting and marking of coursework and examination.
• Review and ensure the quality of examination papers under area(s) of specialisation.
• Manage the moderation of coursework and examination results.
• Conduct objective assessments on examination appeal cases.
• Monitor student progress through the application of formative and summative assessment strategies that support appropriate feedback and skills development.
• Monitor student success rates to an agreed standard across all student levels.
• Conduct objective assessments on examination appeal cases.
• Conduct administration duties pertinent to the programmes of study in the School.
• Engage in student development by providing strong learning support and monitoring of students’ academic performances.

Programme Management & Curriculum/ Partnership Development

• Periodically review and develop programmes pertinent to the School to ensure continued relevance and quality improvement of curricula.
• Evaluate and recommend appropriate teaching materials to cover the learning outcomes of the different programmes of study.
• Develop online learning strategies with a duality of pedagogical functions (online learning, Blended learning).
• Assist the Assistant Director (Academic) in exploring new programmes to grow the school.
• Assist the Assistant Director (Academic) in academic partnerships and courses.
• Coordinate and prepare information for inspection and quality assurance assessments.
• Undertake knowledge exchange and other scholarly activity to contribute to the development of new areas in the relevant subject field.
• Lead as Module Leader/Programme Leader and monitor the performance of Associate Lecturers.
• Advise students with respect to academic performance, career opportunities, and advanced studies.
• Ensure that programme design and delivery is consistent with the academic framework and quality standards and regulations of PSB Academy.

Research & Knowledge Exchange

• Expected to have knowledge and understanding of e-learning platforms/LMS such as Blackboard etc.
• Represent the School in selected academic committee, where necessary.

Others

• Represent and participate in marketing events for the School.
• Perform other duties/projects as assigned by the Assistant Director (Academic) /Director of School.

The ideal candidate will need to have the following qualities and experience:

• Masters/Degree Holder
• At least a pass at GCE ‘O’ level or its equivalent in the language medium of the course/module.
• 3-4 years of experience with Teaching experience preferred.
• Experience or knowledge of module and/or programme leadership, development and administration within a higher education environment.
• Evidence of engagement in professional practice and the ability to design, deliver and assess a range of modules in and related to specialist areas of professional practice.
• Enthusiasm in working in an interdisciplinary context.
• Evidence of commitment to continuing professional development.
• Experience in working with digital technology including an interest in emerging technology and techniques and maintaining an active interest in related developments within the sector.
• Excellent interpersonal and communication skills.
• Good people skills and ability to handle difficult situations, lead and motivate people.
• Ability to work as part of a wider team involving senior managers.
• Forward and outlooking approach to the profession.
• An understanding of the changing landscape within the education sector nationally and internationally.
• Ability to work to achieve goals irrespective of the working hours.
• Willing to work evenings (when needed).

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

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.