Total 191 process engineer job vacancies in Education / Training category

The Centre for Advanced Technologies in Online Safety (CATOS; https://www.catos.sg) was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders.

This role will be responsible for translating research outcomes (e.g., CATOS technologies and OTS engines) into meaningful applications to address the specific needs of various user groups, including public and private agencies, as well as the general public.

The candidate will assume the following roles and responsibilities:

• Explore and apply (Multi-Modal) Large Language Models and emerging AI technologies to solve practical problems.
• Code, develop, and test back-end components that integrate AI capabilities into end-user applications.
• Work with software developers to enhance core platforms and solutions.
• Develop documentation for the implemented solution.
• Follow Agile project management framework.
• Work and communicate well with other team members.
• Stay updated with advancements in AI to evaluate and apply relevant technologies for new challenges.

JOB REQUIREMENT:

• A Bachelor / Master degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Data Engineering / Computational Social Science or equivalent.
• At least 5 years of relevant work experience.
• Demonstrable experience in using machine learning / deep learning frameworks and models.
• Experience in using (Multi-Modal) Large Language Models is valued.
• Demonstrable and relevant commercial and/or enterprise software project management experience and skills.
• Programming skills in Python are essential.
• Experience with the Linux platform is essential.
• Experience with web servers (e.g., Apache), browser-based applications, and databases such as MySQL.
• Able to create complex and interactive UI using HTML5, CSS3, and JavaScript that function across multiple platforms and environments.
• Experience with web libraries and frameworks such as Flutter, ReactJS, Bootstrap, Jquery, and CSS pre-processing frameworks like Sass or Less.
• Solid understanding of HTTP protocols, AJAX, and RESTful services.
• Solid understanding of networking concepts, including TCP/IP and HTTP protocols.
• Hands-on experience with cloud environments, preferably Digital Ocean, AWS, Azure, or GCP.
• Good knowledge on CI/CD pipelines. (e.g. Bitbucket, GitLab)
• Proactive team player with strong communication skills.
• Strong understanding and experience with Agile methodologies and processes.
• Good communication and interpersonal skills for working in a multicultural work environment.
• Strong understanding of algorithms. (i.e., The Art of Programming by Donald Knuth)
• Proficient in clean coding principles. (i.e., Clean Code by Robert Martin)

If you have accomplished any of the following, please include them in your cover letter:

1. You have won a programming competition.
2. You have independently built a software project. (any programming language)
3. You enjoy solving challenging programming problems. Please describe one problem you've solved. (max 1 page)
4. You have been trained under Agile Software Development framework.

Our research and engineering work is highly interdisciplinary, agile, and pragmatic. The candidate will collaborate closely with a team that embraces agile software development.

• We expect everyone to take ownership of their role, responsibilities, and tasks.
• We encourage everyone to speak up when they have feedback or ideas for improvement.
• We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning.
• We care about each other's professional growth and well-being.

When applying, please share with us one project you have built fully on your own or a challenging technical problem you have solved (max 1 page).

Please note that only shortlisted candidates will be notified.

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

ANGEL will also cultivate human talents equipped with both advanced technical skills and a solid understanding of sustainable practices. They will enable Singapore to realise its environmental and technological ambitions.

ANGEL is looking for a motivated Research Engineer to conduct research on AI, reinforcement learning, AI agents, and machine learning.

Responsibilities:

• Conduct AI research

• Present research outputs

• Organize project relevant events

• Manage project progress

• Write research papers/reports based on the requirements of the projects

Requirements:

• Master’s degree in Computer Science/Engineering or equivalent

• More than 2 papers published at top AI/Machine learning conferences

• Experience of deep learning and machine learning

• Good communication and coordination skills

• Positive working attitude and a good team player

• Strong sense of responsibility and able to work independently with minimal supervision

• Self-motivated and able to multi-task

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

The candidate will be responsible for conducting research on video deepfake detection. Successful candidate will be part of an active research team led by Prof HE Shengfeng from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

• Conduct high-quality research on 3D world models.
• Generating/Collecting video/3d data.
• Implementing 3D modeling related programs.
• Implementing deep learning related programs.
• Other duties as assigned.

• Minimum master's degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on computer graphics.
• Minimum 1 year of relevant research experience in computer graphics.
• Proficiency in programming software/languages such as Python and C++ will be positively considered/ is required.
• Proven track record and professional experience in computer graphics.
• Demonstrated experience and know-how on world models.
• Excellent working knowledge of computer graphics and generative models.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with strong research publications in deepfake detection area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

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 public 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 Information Systems / Computer Science/ Information Technology / Security / Informatics Engineering / Computer Engineer / Software Engineering.
• Publication of at least a paper in top AI or software engineering or cybersecurity conferences/journals (CORE A*).
• 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 deliverable i.e., at least a first-authored paper in CORE A or better conference / journal in the field of AI or software engineering.

#LI-JN2

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 public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Master degree in Information Systems / Computer Science/ Information Technology / Security / Informatics Engineering / Computer Engineer / Software Engineering.
• Publication of at least a first-authored paper in top AI or software engineering or cybersecurity conferences/journals (CORE A*r).
• 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 deliverable i.e., at least a first-authored paper in CORE A or better conference / journal in the field of AI or software engineering.

#LI-JN2

About the Role

We are seeking motivated Research Engineers to join our team working on advanced technologies in piezoelectric materials and ultrasound systems. This role offers hands-on experience in cutting-edge research and development, contributing to innovative solutions for sensing and imaging applications.

Key Responsibilities

Candidates may contribute to one or more of the following areas:

• Materials Development: Design, fabricate, and characterize piezoelectric materials and composites. Optimize material properties for ultrasound transducer performance.
• Sensor Hardware Development: Develop and assemble ultrasound transducers and sensor prototypes. Perform electrical and acoustic testing of devices.
• Software Development: Implement signal processing algorithms for ultrasound data acquisition. Develop control and visualization software for sensor systems.

Qualifications

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in: Mechatronics Engineering, Materials Science, Electrical Engineering, Mechanical Engineering, Computer Science, or related fields.
• Strong interest in piezoelectric materials, ultrasound technology, and sensor systems.
• Experience in any of the following is a plus: Hardware prototyping and electronics. Programming (Python, C++, MATLAB).Materials characterization (XRD, SEM, impedance analysis).

What We Offer

• Opportunity to work on real-world research projects in collaboration with industry and academia.
• Access to advanced labs and equipment for materials and ultrasound development.
• Mentorship from experienced scientists and engineers.

We are seeking a creative and motivated Data Analytics & AI Specialist to join our Data & Automation team. In this role, you will develop and deploy data-driven solutions using machine learning, statistical modelling, and AI techniques to solve complex challenges across fab operations—from wafer processing and defect detection to predictive maintenance and real-time process control. You will collaborate closely with process engineers, equipment specialists, and IT teams to transform raw fab data into actionable intelligence that enhances productivity, quality, and yield.

Key Responsibilities

• Design, develop, and implement scalable data pipelines to ingest, clean, and structure high-volume, high-velocity data from fab tools (e.g., sensors, MES, EDA, APC systems).
• Apply advanced analytics, machine learning, and AI techniques (e.g., computer vision, time-series forecasting, anomaly detection, reinforcement learning) to improve manufacturing outcomes.

• Build predictive and prescriptive models for applications such as:

Yield prediction and root cause analysis

Equipment health monitoring and predictive maintenance

Real-time process control and fault detection

Defect classification and pattern recognition

• Collaborate with cross-functional teams to translate business problems into analytical frameworks and measurable KPIs.
• Deploy and monitor ML models in production environments, ensuring reliability, scalability, and compliance with fab data governance standards.
• Stay current with emerging AI/ML technologies and assess their applicability to semiconductor manufacturing challenges.
• Document methodologies, share insights through dashboards/reports, and support continuous improvement initiatives.

Required Qualifications

• Minimal Bachelor in Data Science, Computer Science, Electrical Engineering, Industrial Engineering, Applied Mathematics, or a related field preferred.
• 2+ years of experience applying data analytics and/or machine learning in semiconductor manufacturing or fab automation.
• Knowledge of semiconductor processes (e.g., lithography, etch, deposition) or equipment data standards (SECS/GEM, GEM300)
• Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch) and SQL.
• Experience working with time-series data, sensor data, or structured/unstructured manufacturing data.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and big data tools (e.g., Spark, Kafka).
• Understanding of statistical methods, experimental design, and model validation techniques.
• Excellent problem-solving, communication, and teamwork skills.

About TUMCREATE

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

Our research program on post-quantum Security, ‘QUASAR - QUANTUM SECURITY AND RESILIENCE FOR EMERGING TECHNOLOGIES’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Fraunhofer Singapore, Nanyang Technological University (NTU), the National University of Singapore (NUS). At TUMCREATE, we will focus on developing an open and verifiable Quantum safe RISC-V processor platform as a foundation for the QUASAR program.

As part of the QUASAR team, you will work alongside renowned scientists in Integrated Circuit (IC) design, security, and quantum technologies.

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

Job Summary

We are seeking a highly motivated and skilled researcher in Secure Hardware Design. You will research leading-edge True Random Number Generator (TRNG) and Physical Unclonable Function (PUF) solutions in the context of post quantum security applications, especially dedicated to a RISC-V processors. You will investigate and provide advanced designs and algorithms for PUF-based key-storage and authentication solutions and accelerators to provide randomness to an open-source post-quantum secure system. You will be responsible for the physical design and the integration of analog components in a team for IC design of an RISC-V processor.

This is a fixed term contract until March 2029.

Key Responsibilities

• Research and provide TRNG and PUF solutions for an open-source RISC-V processor.
• Research and perform backend design using open-source tools, especially for the design of an open-source post-quantum secure RISC-V processor.
• Collaborate with experts in design automation, IC design, and security to enable leading-edge hardware-intrinsic security solutions and IC design.
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• Proven expertise in hardware security and/or analog design and/or digital design and/or physical IC design.
• 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 for candidates with a

• Bachelor’s degree in electrical engineering or related fields with at least two years of experience in physical IC design or analog circuit design, or
• Master’s degree in electrical engineering or related fields with focus on hardware security, digital circuit design or analog circuit design, or
• PhD degree related to hardware security, embedded security, embedded systems or circuit design.
• Candidates expecting to fulfil one of these requirements within 2 months after application are welcome to apply.
• Publications in the domain of TRNGs or PUFs at premier conferences and in premier journals are considered a strong asset.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for scientific leadership for research fellows.
• The opportunity to pursue a PhD (awarded by the Technical University of Munich) for research associates with a master’s degree.
• Opportunities for professional development.
• Engagement with a leading international team addressing challenges in IC design for post-quantum security.

Applications

Please send your complete application, including cover letter (compulsory), CV, university transcripts to hr@tum-create.edu.sg.

Only shortlisted candidates will be contacted.

We look forward to your application!

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-%28Coastal-Barrier%29/32193-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This research project aims to develop a new coastal protection system that can be deployed only when needed and fully retracted under normal conditions. The proposed system uses offshore jack-up platforms, similar to those in the marine industry, to temporarily support a telescopic flood barrier that can extend during extreme events and retract afterwards. 

The research staff will undertake the engineering analysis and design of coastal barrier structures, which keeps waterways open for navigation, preserves sea views, and reduces the need for large permanent structures on the seabed or along the coast

Job Requirements

•    Possess at least a bachelor’s in civil or mechanical engineering or related disciplines.
•    A master’s degree is preferred.
•    Have fundamental knowledge structural engineering and structural analysis.
•    Have laboratory experience in designing, conducting, and instrumenting structure.
•    Possess strong written and spoken communication skills.    
•    Required to work in a multi-disciplinary team and values diversity
•    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-%28Overtopping-Structural-Damage%29/32267-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This research aims to improve how to design coastal structures in Singapore by developing locally relevant guidelines for wave overtopping. The research focus on the landward (rear side) impacts caused by wave overtopping behind coastal protection measures (CPMs)—for example, erosion and instability that can compromise the CPM’s structural integrity and public safety.

The selected research staff will be required to work in a multi-disciplinary team on the engineering analysis and design of the coastal structures under overtopping loading actions, support coastal planners, engineers, and policymakers in making informed decisions for a safer and more economically sustainable coastal defences in Singapore. 

Job Requirements

•    Possess at least a bachelor’s degree in civil or mechanical engineering or related discipline.
•    Masters degree is preferred.
•    Applicants should have fundamental knowledge structural engineering and structural analysis
•    Applicants should have laboratory experience in designing, conducting, and instrumenting structures.
•    Strong written and spoken communication skills. 
•    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-%28Detecting-airborne-pollutants-using-LCS%29/32263-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The job holder is to work with PI and the research team on the following:

- Assembling, operating, trouble shooting, calibrating and maintaining low-cost sensors detecting airborne pollutants.

- Analyzing low-cost sensor data against reference instrument with meaningful results

- Joining and supporting field studies

- Devising, configuring and optimizing wireless communication among various gadgets with spatial and temporal data

Qualifications

·    Basic knowledge of embedded systems and microcontrollers (e.g. Arduino, ESP32, Raspberry Pi)

·    Familiarity with firmware/software development in C/C++ or Python

·    Basic understanding of electronic circuits and sensor interfacing (I2C, UART, SPI)

·    Comfortable with hands-on hardware assembly and troubleshooting

As a University of Applied Learning, SIT works closely with industry in our research pursuits.

Future ship and system design (FSSD) program develop strategic and innovative design capabilities for maritime industry in Singapore and beyond.

The work package WP2.4 in FSSD will conduct research in the areas of autonomous system dynamic modeling, simulation, testing, data and video analytics, machine learning algorithms and platform programing. The testing will be done both in lab, reservoir/sea and onboard ships.

The primary responsibility of this role is to work on and deliver the project together with P2-4 team and be part of the research team in the FSSD program. 

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. 
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Carry out any additional work tasks assigned by the supervisor.
• To communicate with any relevant internal or external stakeholders to ensure project deliverables are met. 

Job Requirements

• Have relevant competence in the areas of system modeling, simulation testing for both hardware and software.
• Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent. 

Key Competencies

• Good knowledge in system modeling, programming, simulations, data analytics.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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 indoor farming.

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:

  • Lead in technical project management for ongoing projects; coordination with project partners, industry and other external stakeholders.

  • Lead project team in deployment of testbeds and instrumentation for testing and validation of agitech/green building solutions e.g. equipment or hardware/software systems.

  • Conduct research, analysis and performance assessment of agritech/green building 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 green building technology, HVAC system study and optimization, sustainable building design, and building energy modelling, CFD modelling or BIM modelling for built environment applications is preferred.

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

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

Job Requirements:

• Master’s degree in Engineering (e.g. Mechanical, Clean/Renewable Energy, Building-related) or Sustainable Building Design.

• 3 years or more of experience in sustainable design or analysis for the built environment, including Green Mark or LEED projects, and M&E construction or development.

• Proficient in MS Office and relevant tools such as BIM, CFD, or energy modelling software.

• Hands-on and adaptable, with the willingness to take on non-routine tasks.

• Strong written and verbal communication skills, able to manage multiple stakeholders, work under tight timelines, and perform effectively both independently and as part of a team, with a positive attitude.

We regret to inform 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 focussed 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 data center cooling system technologies.
• 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 Mechanical / Electromechanical Engineering or related field.
• Strong understanding of thermal management, fluid dynamics and electromechanical fundamentals and common technologies.
• Experience with mechanical drawings, prototyping and supplier assessment.
• Knowledge of heat exchangers, fluid dynamics, liquid cooling systems and material science.
• Hands-on prototyping and testing experience with pumps, motors, valves, manifolds, and sensors.
• Familiarity with manufacturing processes and design constraints.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (ANSYS, COMSOL, OpenFOAM, 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 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.

About the Role

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed 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 data center cooling system technologies.
• 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 Mechanical / Electromechanical Engineering or related field.
• Strong understanding of thermal management, fluid dynamics and electromechanical fundamentals and common technologies.
• Experience with mechanical drawings, prototyping and supplier assessment.
• Knowledge of heat exchangers, fluid dynamics, liquid cooling systems and material science.
• Hands-on prototyping and testing experience with pumps, motors, valves, manifolds, and sensors.
• Familiarity with manufacturing processes and design constraints.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (ANSYS, COMSOL, OpenFOAM, 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 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.