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

About the role:

Reporting to the Plant Director, you’ll be responsible for:

• Partners with the Site Director and Site Leadership Team to develop and execute a comprehensive learning strategy that strengthens operational capability, supports employee development, and enables the site to achieve its performance goals.

• Designs, governs, and sustains a structured training system covering onboarding, upskilling, certification, SME development, and long-term career growth for hourly and salaried employees.

• This role governs the learning and capability system but is not expected to perform technical or equipment-specific training for operators or technicians. All hands-on technical and machine-specific training is delivered by functional SMEs (Operations, Maintenance, Engineering, Quality, EHS).

Responsibilities:

1. Learning Strategy & Governance

• Develop and execute an L&D strategy aligned to site goals, operational priorities, and workforce capability needs.

• Establish a sustainable training structure covering onboarding, technical upskilling, certification, cross-training, and leadership development.

• Partner with HR Manager and functional leaders to identify current and future capability gaps.

2. Training System Design & Standardization

• Lead the design, development, delivery, and evaluation of L&D solutions and materials.

• Develop and maintain SOPs related to training governance.

• Ensure learning programs apply relevant learning principles and effective knowledge transfer.

• Utilize blended learning (classroom, OJT, digital, simulation, etc.).

3. Technical Training Governance (Not the Technical Trainer)

• Own the technical training framework, process, and governance.

• Ensure all equipment-specific, technical, and maintenance training is delivered by qualified SMEs.

• Develop and manage SME and OJT trainer certification programs.

• Audit and calibrate SME-led technical training for consistency and accuracy.

• Maintain strong alignment with Operations, Maintenance, Engineering, QA, and EHS.

4. Workforce Capability Building

• Partner with functional leaders to plan and enable capability development across shifts.

• Support SME-led training and ensure trainers apply consistent standards.

• Identify skill gaps and recommend updates to technical training materials.

5. New Hire Onboarding & Compliance Training

• Oversee onboarding programs including safety, quality, GMP, plant tours, gowning, and expectations.

• Ensure compliance training meets regulatory and internal requirements.

• Maintain accurate training records and capability metrics.

6. Continuous Improvement & Change Management

• Lead learning and training programs for new systems, digital tools, and technology upgrades.

• Research and recommend new training platforms/tools that enhance learning.

• Coordinate external vendors for specialized training requirements.

7. Stakeholder Engagement & Communication

• Partner with Site Leadership to ensure capability needs are met.

• Communicate progress, gaps, and risks to leadership.

• Promote a strong learning culture supporting performance, safety, and growth.

Required Education, Experience and Skills

• Bachelor's degree in Human Resources, Business, Education, Industrial Engineering, or related field.

• At least 3 years of experience in a multinational manufacturing environment (Nutrition, Pharmaceutical, Food Industry preferred).

• Strong capability in designing, delivering, and evaluating training programs.

• Strong leadership, facilitation, and communication skills.

• Excellent interpersonal and collaboration skills.

• Ability to manage multiple priorities in a fast-paced environment.

• Proficiency in Microsoft Office (Excel, Word, PowerPoint).

• Experience with modern and traditional training methods (OJT, classroom, digital).

• Ability to influence across levels and functions.

Singapore Institute of Manufacturing Technology (SIMTech)

The A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

We are seeking a technically skilled Mechanical Engineer to join our Remanufacturing Process Technology Group (RPT), specializing in advanced e-beam and arc joining processes. The successful candidate will support and advance the development of robotic welding, Directed Energy Deposition (DED), and Wire Arc Additive Manufacturing (WAAM) processes, with a strong focus on process development, system improvement, and the processing of novel materials.

This role will contribute to advancing the group's capabilities in robotic additive manufacturing and joining technologies, supporting both research and industrial collaboration projects.

JOB DESCRIPTION 

The successful candidate will contribute to the development, optimization, and implementation of advanced robotic welding and additive manufacturing processes.

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 REQUIREMENT

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.

Preferred Skills and Experience (Good-to-have)

• Master's degree in Mechanical Engineering, Manufacturing Engineering, or related discipline.
• Experience working in industrial R&D or collaborative research environments.
• Hands-on experience with machining, fabrication, or laboratory prototyping equipment.
• Experience with robot programming for automated welding or manufacturing applications.
• Experience with Wire Arc Additive Manufacturing (WAAM) or Directed Energy Deposition (DED) processes.
• Experience in mechanical system design for automated or manufacturing equipment.
• Experience in design and fabrication of tooling, jigs, mounts, or experimental test rigs.
• Knowledge of mechanical analysis techniques, including basic structural, thermal, or vibration analysis.
• Experience with simulation or engineering analysis tools (e.g., ANSYS, COMSOL, or similar).
• Understanding of Design for Manufacturing and Assembly (DFM/DFA) principles.
• Experience collaborating with suppliers and manufacturing partners on component fabrication and prototyping.

Singapore Institute of Manufacturing Technology (SIMTech)

The A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

We are seeking a technically skilled Mechanical Engineer to join our Remanufacturing Process Technology Group (RPT), specializing in advanced e-beam and arc joining processes. The successful candidate will support and advance the development of robotic welding, Directed Energy Deposition (DED), and Wire Arc Additive Manufacturing (WAAM) processes, with a strong focus on process development, system improvement, and the processing of novel materials.

This role will contribute to advancing the group's capabilities in robotic additive manufacturing and joining technologies, supporting both research and industrial collaboration projects.

JOB DESCRIPTION 

The successful candidate will contribute to the development, optimization, and implementation of advanced robotic welding and additive manufacturing processes.

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 REQUIREMENT

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.

Preferred Skills and Experience (Good-to-have)

• Master's degree in Mechanical Engineering, Manufacturing Engineering, or related discipline.
• Experience working in industrial R&D or collaborative research environments.
• Hands-on experience with machining, fabrication, or laboratory prototyping equipment.
• Experience with robot programming for automated welding or manufacturing applications.
• Experience with Wire Arc Additive Manufacturing (WAAM) or Directed Energy Deposition (DED) processes.
• Experience in mechanical system design for automated or manufacturing equipment.
• Experience in design and fabrication of tooling, jigs, mounts, or experimental test rigs.
• Knowledge of mechanical analysis techniques, including basic structural, thermal, or vibration analysis.
• Experience with simulation or engineering analysis tools (e.g., ANSYS, COMSOL, or similar).
• Understanding of Design for Manufacturing and Assembly (DFM/DFA) principles.
• Experience collaborating with suppliers and manufacturing partners on component fabrication and prototyping.

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-%28Nano-electronic-Process-and-Devices%29/32359-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open under the supervision of Prof. Gong Xiao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).   The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects.  The project aims to explore advanced semiconductor electronic devices for future advanced integrated circuits.

Qualifications

1.    Possess a Bachelor degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 
2.    Strong knowledge in semiconductor device physics. 
3.    At least 2 years in simulation, fabrication, and testing of semiconductor devices. 
4.    Proficient in simulation software, such as Sentaurus, Spice, matlab, etc.
5.    Possess relevant expertise proven through coursework and projects during his/her studies.
6.    Excellent academic track record from well-recognized universities. Excellent course work with strong academic performance. 
7.    Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently. 
8.    Work well with team and be independent, and be able to balance well between advancing his/her own research and contributing to the larger team’s success. 
9.    Be committed to work effectively and strong desire to make a difference in pushing the frontiers of semiconductor technology.
10.  Open to Fixed Term Contract. 

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 Centre on Security, Mobile Applications and Cryptography (SMC).
• Develop and enhance software supply chain security products.
• Write high quality core code based on product and technical requirements, conduct in depth technical research, and resolve complex engineering issues.
• Independently design, develop, and deliver system modules, while producing technical documentation in accordance with engineering standards.
• Other duties as assigned.

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
• At least 1 year of hands on experience in Go (Golang) development.
• Solid understanding of network protocols such as HTTP, HTTPS, and TCP, with knowledge of network proxy principles, packet capture and analysis, and troubleshooting methodologies.
• Proficiency in Linux development environments.
• Familiarity with container and orchestration technologies, including Docker, Podman, Docker Compose, and Kubernetes.
• Strong communication skills, with the ability to collaborate effectively within a team and independently solve technical problems. Preferred Qualifications.
• Experience with Java development in addition to Go.
• Prior experience developing cybersecurity or network security related products.

#LI-JN2

Overview

MCF group in SIMTech is seeking a motivated, innovative and experienced research engineer for the Ceramic and Metal Powder Forming section, to lead and support both research and industry projects. This role involves designing and developing innovative materials and processes through multiple powder forming technologies to support industrial applications in semiconductor, automotive, biomedical, and energy sectors. The successful candidate will collaborate with multidisciplinary teams, supervise junior staff, and gain new skills as well through on-the-job training.

Key Responsibilities

• Perform R&D work related with powder forming technologies, such as powder compaction, slurry casting, injection moulding, extrusion, and additive manufacturing.
• Design experiments and optimize heat treatment processes for powder-formed parts, to achieve reliable debinding, sintering and densification.
• Implement advanced material analysis methods (SEM, EDX, XRD, mechanical testing, etc) for microstructure and property characterization.
• Design and develop innovative materials and process for new powder forming technologies and emerging applications.
• Prepare technical reports, presentation slides, publications, and patents to disseminate R&D findings.
• Manage project timelines, budgets, and deliverables.
• Collaborate with industry partners and academic institutions for joint research projects.
• Support in the process equipment set-up, laboratory operations, and inventory management.
• Provide mentorship, guidance and career development to team members.
• Ensure compliance with safety and quality standards in laboratory and pilot-scale operations.

Job Requirements

• At least Bachelor (Masters and above preferred) in Material Science and Engineering / Mechanical Engineering / Chemistry Engineering, or other relevant discipline.
• Minimum 3 years of experience in metal and/or ceramic forming related work.
• Strong expertise in powder forming processes (compaction/injection moulding/slurry casting, etc) and heat treatment (like sintering) techniques.
• Excellent hands-on skills on powder forming processes and characterizations (metallurgical samples preparation, microscopy, mechanical testing, etc.).
• Excellent communication and presentation skills.

Preferred Skills

• Familiar with CAD tools, e.g., SolidWorks.
• Familiar with the use of AI tools in manufacturing.
• Proactive team player to solve problems via collaborations.
• Project management experience will be an advantage.
• Ability to learn new skills willingly and quickly.
• Experience with computational modelling of powder forming and sintering.

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

Role Summary

We are looking for a skilled and driven Software Engineer (or Senior Software Engineer) with expertise in C#, ASP.Net, Python, Angular, and a solid foundation in Microservices and DevOps. Join us in a collaborative R&D environment where innovation meets impactful software development for predictive shopfloor analytics.

Key Responsibilities

• Design and implement software solutions for predictive shopfloor analytics (e.g. predictive maintenance management, predictive quality management) using C#, ASP.Net, Python, Angular.
• Collaborate with researchers to translate technical needs into software architectures.
• Build and maintain microservices for scalable, reliable systems.
• Integrate cross-platform software components and services.
• Implement CI/CD pipelines using DevOps best practices (e.g., Jenkins, Bitbucket).
• Research and experiment with emerging technologies to improve development workflows.
• Debug, troubleshoot, and optimize systems for performance and stability.

Requirements

• Bachelor’s or Master’s in Electrical Engineering, Computer Science, or related field.
• Solid experience with C#, ASP.Net, Python, Angular development.
• Proven work with microservices, Docker, and Kubernetes.
• Proficient in DevOps tools (e.g., Jenkins, Bitbucket CI/CD).
• Knowledge of Agile/Scrum methodologies.
• Strong problem-solving and team collaboration skills.

Preferred Skills

• Knowledge of predictive shopfloor analytics, especially predictive maintenance management and predictive quality management
• Knowledge of networking and cybersecurity in industrial settings.
• Experience with data analytics, AI/ML in industrial applications.
• Familiarity with cloud computing and its integration in manufacturing systems.

Job Description

The mission of the Adaptive Robotics and Mechatronics (ARM) group in the Singapore Institute of Manufacturing Technology (SIMTech) is to advance the state of intelligent, adaptive, and embodied robotic systems for next-generation manufacturing.

We are seeking a Research Engineer/Senior Research Engineer to develop embodied intelligence solutions for robotic manipulation as well as deploy into real-world industrial applications. This role focuses on developing the perception/learning-based action models into reliable, real-time robotic systems that operate in complex, unstructured industrial environments.

You will work at the intersection of perception, decision-making, and physical robot programming and control, building integrated pipelines that allow robots to sense, reason, and act through interaction with the physical world. Working closely with robotics, machine learning, and sensing experts, you will bring embodied AI from laboratory prototypes to production-ready robotic platforms.

Responsibilities:

• Design and develop perception pipelines that fuse vision, depth, and other sensory inputs for robot-centric understanding of objects and environments.
• Implement and integrate learning-based models (e.g., vision-language-action, policy networks, or multimodal models) that enable robots to choose actions based on perception and task context.
• Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree in Robotics, Computer Engineering, Mechanical Engineering, Computer Science, Automation, or related fields.
• Strong programming skills in Python and/or C++, with experience building robotics software systems.
• Experience with robotics frameworks such as ROS and robot middleware for sensor and controller integration.
• Familiarity with robot kinematics, motion planning, and control, especially for manipulation systems.
• Exposure to learning-based robotic control, such as imitation learning, reinforcement learning, or multimodal policy models.
• Ability to bridge machine learning models and physical robot execution.

Job Description

The mission of the Adaptive Robotics and Mechatronics (ARM) group in the Singapore Institute of Manufacturing Technology (SIMTech) is to advance the state of intelligent, adaptive, and embodied robotic systems for next-generation manufacturing.

We are seeking a Research Engineer/Senior Research Engineer to develop embodied intelligence solutions for robotic manipulation as well as deploy into real-world industrial applications. This role focuses on developing the perception/learning-based action models into reliable, real-time robotic systems that operate in complex, unstructured industrial environments.

You will work at the intersection of perception, decision-making, and physical robot programming and control, building integrated pipelines that allow robots to sense, reason, and act through interaction with the physical world. Working closely with robotics, machine learning, and sensing experts, you will bring embodied AI from laboratory prototypes to production-ready robotic platforms.

Responsibilities:

• Design and develop perception pipelines that fuse vision, depth, and other sensory inputs for robot-centric understanding of objects and environments.
• Implement and integrate learning-based models (e.g., vision-language-action, policy networks, or multimodal models) that enable robots to choose actions based on perception and task context.
• Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree in Robotics, Computer Engineering, Mechanical Engineering, Computer Science, Automation, or related fields.
• Strong programming skills in Python and/or C++, with experience building robotics software systems.
• Experience with robotics frameworks such as ROS and robot middleware for sensor and controller integration.
• Familiarity with robot kinematics, motion planning, and control, especially for manipulation systems.
• Exposure to learning-based robotic control, such as imitation learning, reinforcement learning, or multimodal policy models.
• Ability to bridge machine learning models and physical robot execution.

Overview

MCF group in SIMTech is seeking a motivated, innovative and experienced research engineer for the Hybrid Bulk Metal Forming Section, to lead and support both research and industry projects. This role involves designing and developing innovative materials and processes through molten metal forming technologies to support industrial applications in semiconductor equipment, automotive, biomedical, and energy sectors. The successful candidate will collaborate with multidisciplinary teams, supervise junior staff, and gain new skills as well through on-the-job training.

Key Responsibilities

Lead the development of novel industrial components and metal forming solutions in areas such as thermal management and metal processing sustainability, and lead R&D projects based on metal processing as part of a team of highly skilled researchers and engineers.

Strategize, formulate and drive R&D and industrial engagement plans related with metal processing to improve technology competency and industry adoption.

• Interact with partners and customers from research institutes and industries to define and refine research projects.
• Prepare technical reports, presentation slides, publications, and patents to disseminate R&D findings.
• Manage project timelines, budgets, and deliverables.
• Provide mentorship, guidance and career development to team members.
• Collaborate with industry partners and academic institutions for joint research projects.
• Support in the process equipment set-up, laboratory operations, and inventory management.
• Ensure compliance with safety and quality standards in laboratory and pilot-scale operations.

Job Requirements

• At least Bachelor (Masters and above preferred) in Material Science and Engineering / Mechanical Engineering or other relevant discipline.
• Minimum 3 years of experience with metal forming processes, product design, testing and validation in R&D and industrial environments.
• High level of competency with cross-technology engineering solutions.
• Experience in leading project teams and with people management.
• Proven track record with customer management and driving customer satisfaction.
• Well-networked in the industry and able to tap on different vendors/suppliers to complement own work.
• Proven track record of innovation in manufacturing, industrial product design and project management.
• Self-driven and proactive, apply logic and reason to effectively solve problems and manage risks.

Preferred Skills

• Familiar with CAD tools, e.g., SolidWorks.
• Familiar with the use of AI tools in manufacturing.
• Proactive team player to solve problems via collaborations.
• Formal project management experience will be an advantage.
• Ability to learn new skills willingly and quickly.

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-%28AIDF%29/32374-en_GB/

We regret that only shortlisted candidates will be notified.

Background

The Asian Institute of Digital Finance (AIDF) is a university-level institute in NUS, jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a Fintech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future Fintech researchers and practitioners in Asia.

At AIDF, we are actively building next-generation AI systems for financial intelligence, including an LLM-driven application platform that integrates alternative data, structured financial data, and advanced retrieval systems. We are now transitioning from prototype to production and are looking for candidates who can bridge data engineering and AI research, particularly in LLM-based information retrieval systems.

We are seeking a Research Assistant / Research Engineer who combines strong data engineering capabilities with an interest in applied AI research, especially in LLM-powered retrieval systems (e.g., RAG, Graph RAG, Knowledge Graph integration).

This role is ideal for candidates who want to:

• Build scalable data infrastructure, and
• Explore cutting-edge retrieval and knowledge representation techniques in real-world applications

Responsibilities

1. Data Engineering & Infrastructure

• Design, develop, and maintain scalable data pipelines and ETL workflows
• Build backend systems to support data ingestion, processing, and serving
• Manage and optimize relational and non-relational databases (e.g., MySQL, MongoDB)
• Ensure data quality, consistency, and reliability across systems

2. LLM & Retrieval System Development

• Develop and optimize retrieval-augmented generation (RAG) pipelines
• Explore advanced retrieval paradigms such as:Graph RAGKnowledge Graph-enhanced retrievalHybrid search over structured + unstructured data
• Work with alternative data sources (e.g., text, news, reports) to improve model performance

3. Applied Research & Prototyping

• Track and experiment with latest research in LLMs, IR, and knowledge systems
• Prototype and evaluate new methods for:Information retrievalKnowledge representationFinancial intelligence extraction
• Translate research ideas into production-ready system components

4. System Integration & Collaboration

• Collaborate with AI engineers, data scientists, and frontend developers
• Integrate backend systems with LLM services and user-facing applications
• Contribute to system architecture design for AI-native products

5. Documentation & Best Practices

• Maintain clear documentation of:Data pipelinesSystem architectureDatabase schemas
• Implement best practices in data governance, security, and reproducibility

Minimum Requirements

• Background in Computer Science, Engineering, or related fields
• Proficiency in at least one programming language (e.g., Python, Java, Go)
• Solid understanding of data structures, algorithms, and system design
• Experience with backend development frameworks (e.g., FastAPI, Django, Spring Boot)
• Familiarity with RESTful API design and implementation
• Experience with databases: Relational: MySQL / PostgreSQL
• Non-relational: MongoDB / Redis / Elasticsearch
• Familiarity with Git and collaborative development workflows
• Strong problem-solving skills and ability to debug complex systems

Preferred / Bonus Qualifications

• Experience in data engineering and ETL systems in production environments
• Familiarity with LLM applications, especially: RAG pipelines
• Vector databases (e.g., FAISS, Milvus, Pinecone)
• Exposure to Knowledge Graph construction or usage
• Experience with search / retrieval systems (e.g., BM25, hybrid search)
• Familiarity with cloud platforms (AWS / Azure / GCP), especially data services
• Experience with tools such as Apache Airflow / NiFi / Spark
• Interest in applied AI research and ability to read/implement recent papers
• Strong communication and documentation skills

What We Offer

• Opportunity to work on cutting-edge AI systems in finance
• Exposure to real-world large-scale financial datasets
• A unique role combining research + engineering + productization
• Collaboration with researchers and engineers at NUS AIDF-CRI
• Potential to contribute to publications and production AI systems

Services (Duties and Responsibilities), which shall include, but are not limited to:

1. Providing leadership and professional oversight in music education programmes;

1. Contributing to centre development, programme planning, and quality assurance initiatives;

2. Supporting curriculum development and pedagogical standards in music education;

3. Providing guidance, mentoring, and professional input to teaching staff when required;

4. Participating in centre planning, events, and programme development activities; 

5. Carrying out business and educational coaching from time to time;

6. Developing, reviewing, and implementing internal policies and procedures, and providing relevant training or guidance to employees where applicable; 

7. Developing, reviewing, and maintaining operational, academic, and administrative documentation, including providing training or briefing to relevant staff as required; and

8. Supporting basic risk management initiatives, including identifying operational or academic risks and assisting management in implementing appropriate mitigation measures.

JOB DESCRIPTION

ARTC is looking for a motivated, innovative quick learner with excellent interpersonal skills to join the Remanufacturing Process Technology Group (RPT) - Intelligent Remanufacturing Process Team.  The successful candidate will have opportunities to participate in research and industry projects related to process control and automation design, leveraging on data informed AI decision making with process automation. 

The following areas will be included and mentored by scientists and senior staff:

• To develop and maintain automation architecture, including control loops, instrumentation, hardware, and communication networks.
• To design tooling and fixtures for automation of processing setups using CAD software.
• To perform system integration between sensors, actuators, and controllers.
• To conduct processing trials and experimental analysis to ensure process stability.  
• To conduct troubleshoot and resolve control system issues to minimize downtime and improve system reliability.
• To coordinate with vendors, system integrators and customers for support deployment of systems.

JOB REQUIREMENT

• Bachelor’s degree in mechanical, Manufacturing or Electrical Engineering
• At least 3 years of experience
• Experiences in R&D or industrial manufacturing environment
• Experiences with design software such as AutoCAD and SolidWorks will be a plus
• Experiences with welding, WAAM, or other manufacturing processes will be a plus
• Experiences with coding for control and automation and knowledge on AI libraries and tool for data processing 
• Understands design process control, system integration, automation, PLC control, machine to machine communication, and signal processing
• Ability to work effectively and independently in a dynamic environment with cross-functional project teams
• Able to critically think of solutions outside the box and communicate effectively

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.

JOB DESCRIPTION

ARTC is looking for a motivated, innovative quick learner with excellent interpersonal skills to join the Remanufacturing Process Technology Group (RPT) - Intelligent Remanufacturing Process Team.  The successful candidate will have opportunities to participate in research and industry projects related to process control and automation design, leveraging on data informed AI decision making with process automation. 

The following areas will be included and mentored by scientists and senior staff:

• To develop and maintain automation architecture, including control loops, instrumentation, hardware, and communication networks.
• To design tooling and fixtures for automation of processing setups using CAD software.
• To perform system integration between sensors, actuators, and controllers.
• To conduct processing trials and experimental analysis to ensure process stability.  
• To conduct troubleshoot and resolve control system issues to minimize downtime and improve system reliability.
• To coordinate with vendors, system integrators and customers for support deployment of systems.

JOB REQUIREMENT

• Bachelor’s degree in mechanical, Manufacturing or Electrical Engineering
• At least 1 year of experience
• Experiences in R&D or industrial manufacturing environment
• Experiences with design software such as AutoCAD and SolidWorks will be a plus
• Experiences with welding, WAAM, or other manufacturing processes will be a plus
• Experiences with coding for control and automation and knowledge on AI libraries and tool for data processing 
• Understands design process control, system integration, automation, PLC control, machine to machine communication, and signal processing
• Ability to work effectively and independently in a dynamic environment with cross-functional project teams
• Able to critically think of solutions outside the box and communicate effectively

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.

As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT.

The main responsibility of this position is to deliver on an industry innovation research project. The Research Fellow/Engineer will be a key member of the research team focused on developing a framework for soil conditioning in Singapore soils through a series of experimental investigations. Additionally, they will work on delivering a novel Screw Conveyor Extraction Test (SCET) equipment, crucial for accurately assessing the effectiveness of soil conditioning in tunneling processes. The proposed framework and equipment will be validated at an active tunneling site.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
• Execute all experiments (e.g. foam stability test, slump test etc.) reliably.
• Liaise with the industry partner and agency to plan and execute the field trials.
• Develop the framework for effective soil conditioning in local soils.
• Design the SCET equipment and liaise with vendors in its manufacture and assembly.
• Validate the framework and SCET using findings from field tests.
• Mentor and provide technical guidance to student assistants involved in the research project.
• Carry out Risk Assessments, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of the equipment.
• To liaise with any internal or external stakeholders to ensure project deliverables are met
• Any other ad-hoc duties assigned by Supervisor.

Job Requirements

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Key Competencies

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.  Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Key Highlights: (AI / ML Engineer)

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or master's degree in computer science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 

A Research and Development (R&D) Executive plays a key role in driving innovation and developing new products or processes.

To conduct research, analyze data, and develop solutions to improve existing products and services, or create new ones, ensuring they meet functional (Town Council) needs and regulatory standards.

Responsibilities often include identifying market trends, collaborating with cross-functional teams, and ensuring product development aligns with business objectives.

Key Responsibilities:

• Conduct Research and Analysis:

Identifying market trends, customer needs, and competitive landscapes to inform product development.

• Develop New Products and services:

Conceptualizing, designing, and developing new products or processes from initial ideas to commercialization.

• Improve Existing Products and services:

Conducting research and testing to enhance existing products, improve their performance, and address any issues.

• Collaboration:

Working closely with various teams, including estate department, contract department, and term contractors and Vendors, to ensure development and implementation.

• Regulatory Compliance:

Ensuring that all products and processes comply with relevant regulations and standards.

• Innovation:

Staying up-to-date with the latest technologies and trends in their field and using this knowledge to drive innovation.

• Implementation:

Executing with development plans in forms of training, guidance, SOP, and formulating and oversight of projects in related implementations and Improving means.

Job SummaryWe are seeking a Vice President of AI Research and Development tolead the design, architecture, and development of enterprise-gradeAI Agent platforms. The role focuses on building intelligentautomation solutions that enable organizations to create,orchestrate, and deploy autonomous AI Agents, addressing keyenterprise challenges in AI adoption, governance, and operationalefficiency.### Key Responsibilities#### Strategic Leadership & Platform Development- Plan and lead the overall architecture, design, and end-to-enddevelopment of enterprise AI Agent platforms (Intelligent AgentCloud Platforms).- Oversee the creation, orchestration, and deployment of autonomousintelligent agents capable of executing complex business workflows.- Drive the development of modular and scalable AI Agent frameworksthat support both individual and multi-agent collective intelligencesystems.#### Core Platform Features- Lead the unified integration of multiple AI models (commercial andproprietary) into a centralized platform, including centralizedmanagement of computing resources, data pipelines, and digitalworkforce capabilities.- Develop tools that enable business users to transform standardoperating procedures (SOPs) into reusable, production-ready AIAgents with minimal technical expertise.- Build advanced platform capabilities for comprehensive AI assetvisibility, including real-time Token-level consumption tracking,ROI analytics, and enterprise-wide AI adoption reporting.#### Deployment & Technical Excellence- Design and implement flexible, secure deployment architecturescovering public cloud infrastructure and on-premise/edge terminalsolutions (including compact edge devices).- Ensure platform robustness in the areas of scalability,reliability, data privacy, security, and regulatory compliance.- Lead continuous optimization of AI Agent performance, multi-agentcoordination, and system integration with external tools, APIs, andenterprise systems.#### Team Leadership & Innovation- Provide senior technical leadership and mentorship to the AI R&Dteam, fostering a culture of innovation and engineering excellence.- Address critical enterprise AI challenges, including AI usagetransparency (management blind spots), rapid technology iteration,shadow AI risks, and protection of sensitive data.- Address critical enterprise AI challenges, including AI usagetransparency (management blind spots), rapid technology iteration,shadow AI risks, and protection of sensitive data.- Collaborate closely with cross-functional teams (business,product, engineering, and operations) to align AI Agent platformcapabilities with strategic business objectives.- Drive innovation in intelligent automation to deliver measurablebusiness impact through production-grade AI solutions.### Requirements#### Qualifications- Bachelor’s degree or higher in Computer Science, InformationTechnology, Artificial Intelligence, or a closely related technicalfield.- Over 5 years of hands-on experience in AI research anddevelopment, with proven track record in building and scalingenterprise AI platforms or intelligent automation systems.#### Technical Expertise- Strong experience in AI Agent platform architecture, modelintegration and orchestration, agentic workflows, and multi-agentsystems.- Deep understanding of enterprise AI governance, data privacy,Token-level resource management, and deployment strategies (cloud +edge).- Proficiency in relevant technologies and frameworks for buildingscalable AI systems (Python ecosystem and modern AI developmenttools).#### Leadership & Soft Skills- Demonstrated leadership in guiding technical teams through complexAI platform development projects.- Excellent problem-solving, communication, and cross-functionalcollaboration skills.- Ability to translate complex technical concepts into businessvalue and strategic roadmaps.- Experience working in fast-paced, dynamic environments with afocus on delivering production-ready solutions.### What We Offer- Opportunity to lead cutting-edge AI Agent platform initiatives ina growing organization.- Competitive compensation package with fixed monthly salary.- Chance to contribute to enterprise AI transformation in Singaporeand the region

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.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met.
• Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance.
• Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability.
• Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information.
• Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records.
• Develop a cloud-based verification platform for digital data collection and real-time analytics.
• Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel.
• Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members.
• Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems.
• Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders.
• Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

• Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent.
• Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development).
• Experience in handling real-world datasets and model development/deployment workflows.
• Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis.
• Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage.
• Strong background in structural engineering, structural mechanics, or steel structures.
• Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable.
• Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable.
• Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams.
• Strong analytical and conceptual abilities; able to work both in a team and independently.
• Able to work under pressure and meet deadlines.

Key Competencies

• Proficient in Python or other equivalent programming languages.
• Strong foundation in data analytics and data-driven modelling.
• Able to build and maintain strong working relationships with people within and external to the university.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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-%28IC-Designer%29/32340-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the Architectures and circuits for pervasive 5G silicon chip connectivity with end-to-end system millimeter scale and 1,000X reduction in radio power consumption project led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    Develop innovative circuit architectures for research projects and performing transistor-level design, simulation, and layout of analog, digital blocks and mixed-signal using industry-standard EDA tools.

•    Drive the silicon chip design through the full tape-out flow, including pre-layout and post-layout simulations, physical verification (DRC/LVS), and parasitic extraction.

•    Develop test plans, designing PCB test boards, and performing detailed silicon characterization and debugging using lab equipment.

•    Authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.

•    Managing technical milestones for the project and providing technical guidance to PhD and Master's students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Min a bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated ML Research Engineer to join our AI Product group. The ideal candidate is passionate about AI and has a strong foundation in machine learning, deep learning, and large language or vision-language models.

This role offers an exciting opportunity to learn from experienced researchers, contribute to cutting-edge AI research, and help drive innovation in our enterprise grade video intelligence solutions. 

Responsibilities

• Implement solutions using advanced large language models (LLMs) or vision language models (VLMs) to address real-world challenges.
• Design and develop agentic AI systems using structured, multi-step workflows to solve complex tasks autonomously.
• Conduct rigorous experiments to validate models and tasks, including data preparation, ensuring reliability and performance.
• Develop prototypes and proof-of-concept systems to validate innovative ideas.
• Collaborate with cross-functional teams (product, engineering, and business) to translate research into production-ready solutions.
• Deliver research projects on time with a strong focus on practical, measurable business impact.

Minimum Qualifications

• Bachelor’s degree or higher in Computer Science/Engineering, Mathematics, or a related field.
• Strong foundation in deep learning fundamentals, including optimization methods, loss functions, model architectures, and training dynamics.
• Hands-on experience with transformer-based models in either computer vision or NLP domains.
• Familiarity with the latest research trends and developments in AI.
• Solid programming skills, with a strong grasp of data structures and algorithms.
• Strong analytical and problem-solving skills, a solid foundation in logical reasoning, and effective communication and teamwork.

Preferred Qualifications

• Master’s degree or higher; a PhD is a strong plus.
• High-impact publications in top-tier AI conferences or journals (e.g., ICML, NeurIPS, ICLR, TPAMI, CVPR, ICCV, ECCV, ACL, EMNLP, ICRA).
• Knowledgeable in transfer learning strategies, including fine-tuning and distillation of foundation models for downstream applications
• Exposure to any other machine learning domains such as reinforcement learning, edge AI, speech recognition, diffusion models, robotics learning, recommender systems, time-series forecasting or related areas

Personal Competencies

• Innovative, motivated, and a quick learner with a passion for solving complex technical challenges.
• Strong communication and teamwork skills, with the ability to work effectively in small, agile teams.
• A high degree of ownership and attention to detail, with a commitment to delivering robust and high-quality software solutions.
• Adaptable and open to learning new technologies and processes

Benefits

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting edge technologies
• Exciting work environment with flexible hours

Due to the nature of the role, the position is considered for candidates who are only based in Singapore

Job Type: Full-time

Benefits:

• Health insurance

Job Description & Requirements

Job Responsibilities

• Lead and/or co-design a new module or improve a current module in collaboration with NIEC Headquarters’ Curriculum & Programmes (C&P) team
• Coordinate for academic meetings, and training / complete exam processing
• Review the module with the C&P team in tandem with industry development and in line with module and course objectives
• Design and adopt innovative pedagogy, keeping abreast with technological developments to achieve module outcomes and quality delivery of the module
• Monitor the Module/Course Evaluation Survey for quality indicator for improvements
• Deliver lessons according to module objectives, learning design and lesson instructional plans as provided by NIEC HQ
• Adopt and apply the assessment strategies and requirements for module assignments according to NIEC’s and Polytechnic’s assessment guidelines
• Monitor students' performance, give informative and constructive feedback to students on their learning
• Supervise student assignments/projects/practicum/internship
• Act as a class advisor/mentor for tutorial groups to provide students with the necessary information and support in areas that affect their studies. E.g., refer student to Student Services (SAS) for financial assistance and counselling on personal matters at the Polytechnic
• Handles/follow-up with students’ disciplinary issues in consultation and in collaboration with Module Leaders/Course Chairs/Course Leads when necessary

Job Requirements

• Master in Early Childhood Education or education related post-graduate qualifications; and
• Bachelor’s degree in Early Childhood with 5-8 years of teaching and supervisory experience in the early childhood industry;
• Candidates with experience in inclusive practice, special needs education, or proficiency in relevant Mother Tongue languages will have an advantage, as the role may require teaching modules delivered in these languages.
• Meticulous, self-initiated, responsive and adaptive to change;
• Able to work collaboratively in a team.

This position will be based at any one of NIEC’s campuses, namely , Ngee Ann Polytechnic Campus, ITE Campus (Ang Mo Kio) or Temasek Polytechnic Campus.

Perks & Benefits:

• Learning & Professional Development
• Comprehensive Benefits Package such as attractive leaves schemes, flexible benefits, dental coverage etc.

Note: All new hires will be offered a two-year contract in the first instance. Contract renewal and emplacement on permanent appointment will be subject to continuous good performance.

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

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

You will be part of a dynamic research team working on topics relevant to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a project on sustainable hydronic cooling system

Key Responsibilities:

• You will need to actively support SBE projects at ERI@N in terms of project R&D, technology evaluation, project coordination, and stakeholder interfacing.

• The role will include the following:

  • Assist in coordination with project partners, industry and other external stakeholders.

  • Lead technical deployment of testbeds and instrumentation for testing and validation of hydronic cooling/green building solutions e.g. equipment or hardware/software systems.

  • Conduct research, analysis and performance assessment of project testbeds.

  • Lead in preparation and submission of project reports/test reports.

  • Work closely with industry partners to realize synergies in testbeds, site implementation and demonstration.

  • Engage stakeholders at management and working levels internally as well as with external funding agencies, collaborators and industry partners, including delivering presentations and guiding discussions or workshops as necessary.

  • Assist in authoring of technical publications for completed or ongoing research projects.

• You will be an integral part of the SBE team and will need to participate in project discussions especially related to project implementation details.

• Familiarity with district-level cooling systems, green building technology, HVAC systems, sustainable building design, and energy measurement and verification, for built environment applications is preferred.

• Knowledge in test instrumentation, PLC programming and cloud-based/IoT applications is preferred

Job Requirements:

• Masters degree in engineering (e.g. Mechanical, Clean/Renewable Energy or Building related) or sustainable buildings design.

• Experience in sustainable design/analysis for the built environment, Green Mark or LEED projects, M&E construction and development (min 2yrs preferred).

• Proficient in MS Office applications, PLC programming, IoT/cloud development, Modelica/Dymola or energy modelling software.

• Should be a very hands-on person, willing to take on non-routine tasks.

• Possess good communication (written and verbal) skills.

• Able to manage multiple stakeholders and work under tight timelines.

• Positive attitude, ability to work independently as well as in a team

• Prior experience in sustainability standards and green building accreditations would be advantageous.

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