Total 22 technical support engineer job vacancies in Education / Training category

• Working Hours: 8:30 am to 5:30 pm (Monday to Friday)
• Flexi work arrangement (Core working hours is 11am - 3pm)
• AWS + Variable Bonus Provided
• Working location: Buona Vista

Research Support Office (Secretary, Pharmaceutical company)

■Executive Assistant to CEO and Administration Head:

• Provide full spectrum of secretarial support to CEO and Administration Head including but not limited to calendar management, coordination of meetings, travel arrangements, preparation of presentation materials and expense claims.

• Coordinate and liaise with internal and external parties for all meetings and conferences arranged.

• Support in preparation of manuscripts (e.g. media interview, review, textbook).

• Ad-hoc duties as and when required.

■Administrative tasks and Office Management:

• Preparation of invoices and documents.

• Coordinate with internal and external parties on documentations and delivery of items.

• Ordering of materials needed for shipment such as dry ice, boxes and etc.

• Prepare various reports as and when needed by the management.

• Provide secretarial and administrative support to the various research committees

• Handle general office administration such as setting up meeting rooms which includes setting up of video and teleconferencing.

• Provide administrative support to HR team on interview arrangements and safe travel entry applications when required

• Ad-hoc general administrative support as and when required.

Job Requirements:

• Degree holder of any discipline with minimum 1 year of secretarial experience in the sciences/ pharmaceutical/ medical related industry.

• Related experiences in providing secretarial support to various institutional reviews

• Experienced in reading and extracting literature reviews from medical articles.

• Proficiency in Japanese Language is a must to liaise with Japanese speaking employees, external clients and Japan HQ.

Interested applicants, please send your resume to Tiffany Koh (R1104633) with email subject header "Job Application for Research Support Office (Secretary, Pharmaceutical company) - TK " .

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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R1104633

Koh Jia Wen

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

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.

About Fragment Works and Moment AI

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

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

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

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

About the Role

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

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

Key Responsibilities

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

Requirements

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

Preferred Qualifications

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

What We Offer

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

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

Employment Practices

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

At Fort Financial, we are building a team of driven individuals who are interested in developing a long-term career in financial planning and wealth advisory.

This is a structured career pathway where you will receive training, mentorship, and guidance to gradually build your own client portfolio within a regulated financial advisory environment.

You will gain real exposure to financial planning conversations and processes while developing the foundational skills required to grow into a licensed Financial Advisor.

No prior experience is required as full training and support will be provided.

Key Responsibilities

• Engage with clients to understand their financial goals and needs

• Support discussions on financial planning areas such as protection, savings, retirement, and wealth building

• Assist in developing and maintaining long-term client relationships

• Build and manage your personal client portfolio under guidance

• Apply structured advisory processes in a professional and compliant manner

• Participate in training sessions, workshops, and ongoing development programmes

Why Join Fort Financial

• Flexible working arrangement with autonomy over your schedule (subject to progression and performance)

• Performance-based income structure with uncapped earning potential

• Structured training and mentorship programme provided

• Full operational and administrative support

• Clear career development pathway in financial advisory

• Exposure to real client advisory work and financial planning cases

• Supportive, growth-oriented team culture

Who We Are Looking For

• Singapore Citizens or Permanent Residents (due to regulatory requirements)

• Diploma or Bachelor’s degree holders from any discipline

• Fresh graduates and mid-career switchers are welcome

• Strong communication and interpersonal skills

• Self-motivated, disciplined, and willing to learn

• Comfortable with a performance-based career structure

• Interest in finance, business, or client-facing roles is an advantage

Training & Licensing Support

We provide structured support to help you complete MAS-required CMFAS examinations (M5, M9, M9A, HI), along with onboarding training to support your transition into a licensed Financial Advisor.

About Fort Financial

Fort Financial is a financial advisory practice focused on developing professionals who are committed to delivering client-centric financial planning solutions.

We believe in building careers through structured training, mentorship, and real-world advisory exposure in a supportive environment.

Apply Now

If you are looking for a career that offers growth, flexibility, and meaningful client impact, we welcome your application.

Shortlisted candidates will be contacted for the next steps.

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.

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-EngineerAssistant-%28Interdisciplinary%29%2C-ChBE/33229-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Engineers, Research Assistants, and Ph.D. students in the research group of Prof. Soh Siow Ling, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Bachelor’s degree from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

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.

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focused on developing future technology systems to support growth in the rapidly evolving data center industry. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Monitor market trends and research to identify breakthrough opportunities in power architectures and converter topologies for data centers.
• Drive technical excellence across design, modelling, simulation, prototyping and performance testing of new power conversion topologies, control schemes and components.
• Oversee critical design reviews and own technical project direction.
• Represent the company as a subject matter expert when engaging with suppliers, customers, and partners.
• Help to create, review and improve research project processes, from idea creation to project transfer deliverables.
• Identify the skills needed in the team and support recruitment of suitable engineers.
• Work with a commitment to continuous improvement, transparency, and technical expertise.
• Work as a hands-on individual contributor, researching key topics and delivering ideas, designs, and documentation.

Requirements:

• PhD or Master’s degree in Electrical / Electronic Engineering or related field.
• 8+ years’ experience in power electronics research, with increasing mentorship responsibilities.
• Expertise in power electronics, including common topologies, magnetics, control schemes and components.
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) and coding practices is preferred.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, EMI, HVDC, solid state transformers, thermal design and regulatory standards.
• Expertise in using simulation tools (MATLAB, Simulink, LTspice, Python, etc).
• Strong analytical, problem-solving, leadership and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us:

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

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

Responsibilities:

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

Job Requirements:

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

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

COMPANY DESCRIPTION

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

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

RESPONSIBILITIES

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

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

#LI-JN2

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focused on developing future technology systems to support growth in the rapidly evolving data center industry. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Monitor market trends and research to identify breakthrough opportunities in power architectures and converter topologies for data centers.
• Drive technical excellence across design, modelling, simulation, prototyping and performance testing of new power conversion topologies, control schemes and components.
• Oversee critical design reviews and own technical project direction.
• Represent the company as a subject matter expert when engaging with suppliers, customers, and partners.
• Help to create, review and improve research project processes, from idea creation to project transfer deliverables.
• Identify the skills needed in the team and support recruitment of suitable engineers.
• Work with a commitment to continuous improvement, transparency, and technical expertise.
• Work as a hands-on individual contributor, researching key topics and delivering ideas, designs, and documentation.

Requirements:

• PhD or Master’s degree in Electrical / Electronic Engineering or related field.
• 5+ years’ experience in power electronics research, with increasing mentorship responsibilities.
• Expertise in power electronics, including common topologies, magnetics, control schemes and components.
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) and coding practices is preferred.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, EMI, HVDC, solid state transformers, thermal design and regulatory standards.
• Expertise in using simulation tools (MATLAB, Simulink, LTspice, Python, etc).
• Strong analytical, problem-solving, leadership and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us:

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

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.

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focused on developing future technology systems to support growth in the rapidly evolving data center sector. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Fundamental Research – Complete literature reviews and studies to explore existing and future hardware topologies, components and control methods.
• Ideation – Identify problems, future needs or market gaps to establish areas of interest.
• Project Definition – Produce clear target requirements that the solution must meet.
• Concept Proposal – Generate multiple potential design concepts and choose the best solution based on the defined requirements and feasibility analysis.
• Proof of Concept – Create detailed designs, complete simulations and build test setups to demonstrate the technical feasibility of the proposed system.
• Documentation – Write research reports, design guides, patents and performance reports.

Requirements:

• PhD or Master’s degree in Electrical / Electronics Engineering or related field.
• Strong understanding of electronics hardware design and common power electronic architectures (AC/DC, DC/AC, DC/DC, etc).
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) and coding practices is preferred.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, magnetics design, EMI, and thermal management.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (MATLAB, Python, Simulink, LTspice, etc.)
• Strong analytical, problem-solving, and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.
• We welcome applicants at all experience levels, from recent graduates to seasoned professionals.

Why Join Us:

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

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.