Total 179 process engineer job vacancies in Education / Training category

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.

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

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

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

Key Responsibilities:

• Carry out the synthesis of nanostructured materials.

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

• Develop workflow for scaling up of processes.

• Generate/Write reports.

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

• Mentoring interns.

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

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

Job Requirement:

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

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

• Some experience morphological/structural techniques for materials characterization.

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

• Good communication and written skills.

• Responsible and passionate self-starter.

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

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

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

New Product Development

• Proceeds development according to implement plan
• Makes functional specification
• Proceeds electrical, or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation to reports.

Re-design of Products

• Supports Lead Engineer to estimate return and investment.
• Proceed re-design according to implementation plan.
• Proceeds electrical, mechanical or firmware design.
• Plans and proceeds prototype model evaluation and prepare evaluation report.
• Makes up product manufacturing standard.

Technical Support

• Prepares technical information for parts localize and price negotiation.
• Supports production line if necessary according to superior’s direction.
• Supports parts faculty/investigation according to superior’s direction.

Requirements:

• Bachelor of Mechanical Engineering
• Experience in analog or digital electrical hardware design.
  Prefer 2-3 years of relevant experience.

Electronics Manufacturing Industry

East/Bedok

5 days work week

Interested Applicants, kindly email your detailed resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Tel: 62226441

Attention: Audris Teo / EA Personnel No: R1102063

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

Responsibilities

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

Requirements

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

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

Ivan Lim | EA Personnel No.: R1109856

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer 

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

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

Job Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer 

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

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

Job Requirements

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

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-%28Data-driven-understanding-of-hydroclimate-extremes%29/33189-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

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-%28Data-driven-understanding-of-hydroclimate-extremes%29/33190-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

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-%28AI-Assisted-Polymeric-Memristor-with-Homogenous-Switching-Enables-In-situ-Neurom/33269-en_GB/?st=C6A47C97803351A6289A799639FE792AEAB10BB6

We regret that only shortlisted candidates will be notified.

Job Description

•    Investigation into using AI for material selection and design
•    Investigation into model construction for neuromorphic computing of materials and device
•    Mentor Master students
•    Draft grant proposals
•    Oversee lab safety
•    Draft review article 
•    Assist the research group and PI in group logistics and travel reimbursements

Job Requirements

•    Master degree in chemistry, materials science and engineering, or chemical engineering. 
•    Ample research experience in AI for Science
•    Solid background/experience in  Neuromorphic Computing
•    Excellent communication and writing skills
•    Prior undergraduate mentoring experience
•    Assist in chemicals and supplies ordering for research group
•    Assist in travel reimbursements

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies.

The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS),engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection inambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources.

As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Background & Scientific Context

Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in signal processing, in user or patient research studies, and in creating software for participant testing. You will collaborate with clinicians and be responsible for audio data collection of heart and lung sounds in the clinic, for creating an annotated database, and for validating sound classification prototypes in a pilot clinical diagnostic study. You will work on prototype algorithms for classification of heart and lung sounds and develop approaches for integrating multimodal data from mobility sensing and other biomarkers to create a reliable tool for early decompensation detection in ambulant HF patients.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Work on classification algorithms of heart and lung sounds, on multimodal data analysis and fusion, and on verifying the technology against requirements.
• Work with clinicians on data collection from heart failure patients and build a database under consideration of data protection and ethical requirements
• Develop a tool for audio data collection in the clinic, advance it into a clinical audio classification prototype and validate it in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in signal processing, user or patient studies, and in creating software for participant testing.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in hearing research, electrical engineering, biomedical engineering, human factors engineering, (medical) physics, computer science or similar and a proven track record in (audio) signal processing and in developing and conducting research studies with users or patients. Fresh graduates, PhD candidates and Engineers in similar fields will also be considered.
• Proficiency in C/C++,Matlab/Python and anaconda (or similar).
• Experience in machine learning and database interfacing is highly desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

Please submit the following compulsory documents to hr@tum-create.edu.sg:

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Engineer I / Research Engineer II (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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