Total 198 system engineer job vacancies in Education / Training category in Singapore

JOB DESCRIPTION

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

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

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

JOB REQUIREMENT

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

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

JOB DESCRIPTION

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

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

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

JOB REQUIREMENT

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

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

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-Empowered-Reasoning-of-Granular-System%29/32291-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are hiring a Research Engineer (RE) to develop a novel knowledge-driven AI method for understanding the interaction between solid and fluid interaction. The selected RE is required to:

•    Developing a novel knowledge-driven AI framework for implementing CFDDEM simulation.
•    Validating the proposed framework and applying it to granular materials related engineering such as geotechnical, and chemical engineering.

Job Requirements

•    Possess at least a bachelor’s degree. 
•    Demonstrate relevant research or professional background, aligned with the development of the topic. 
•    Relevant experience in multiple areas is highly desirable.
•    Exhibit proficiency in coupled CFD DEM modelling (C++) and AI-related algorithms (python).
•    Display strong teamwork capabilities.
•    Excellent written and spoken communication skills.
•    Open to fixed-term contract.
•    Please note that only shortlisted candidates will be contacted.

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

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

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

Key Responsibilities:

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

• The role will include the following:

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

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

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

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

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

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

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

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

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

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

Job Requirements:

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

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

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

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

• Possess good communication (written and verbal) skills.

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

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

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

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

We are seeking a talented and experienced Robotics Engineer to join our team. As a Robotics Engineer, you will be responsible for developing and implementing innovative robotic solutions, specializing in Embodied AI for robotics, with a focus on enabling safe and anticipatory human-robot collaboration (HRC). You will collaborate with cross-functional teams, research new technologies, and ensure optimal performance of robotic systems. A strong understanding of robotics principles, programming skills, and a passion for creating cutting-edge solutions are essential. Experience with robot vision and/or ROS2 (Robot Operating System), and working in semicon equipment sector is an advantage.

Roles & Responsibilities

• Develop and implement Embodied AI algorithms for safe and anticipatory human-robot collaboration.
• Implement safety-aware control and motion planning strategies for close-proximity human-robot interaction.
• Integrate perception, learning, and control modules into robotic systems for real-world testing and validation.
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Maintain detailed documentation of code, algorithms, and project progress, facilitating knowledge sharing within the team.

Job Requirements

• Bachelor degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong foundation in robotics, AI, or control systems.
• Experience or knowledge in one or more of the following areas: 5 years of experience
• Embodied AI and robot learning
• Safety-aware motion planning and control
• Proximity sensing and dynamic obstacle avoidance
• Multimodal perception
• Proficiency in programming languages such as Python, C++, or Matlab
• Experience in software development, including version control and debugging techniques
• Experience in industrial or manufacturing robotics environments.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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.

Candidate shall lead and conduct research in development of AI-based robotic solutions particularly for manufacturing processes that deliver impactful research and industry deployment outcomes.

Key Role & Responsibilities:

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Develop project proposals and scoping.
• Collaborate with multidisciplinary technology groups in development of robotic solution from design conceptualization to prototyping and factory deployment.
• Explore, evaluate and propose research based topics in alignment with RIE2030.

Requirements:

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimal 8 years of industry experience in manufacturing process automation. Preferably in automotive production, aerospace MRO, biomedical production/laboratory.
• Proficient in 3D modeling CAD software.
• Essential IT/OT integration know-how towards digital transformation.
• Basic knowledge in machine learning frameworks and modelling.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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.

Candidate shall lead and conduct research in development of AI-based robotic solutions particularly for manufacturing processes that deliver impactful research and industry deployment outcomes.

Key Role & Responsibilities:

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Develop project proposals and scoping.
• Collaborate with multidisciplinary technology groups in development of robotic solution from design conceptualization to prototyping and factory deployment.
• Explore, evaluate and propose research based topics in alignment with RIE2030.

Requirements:

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimal 10 years of industry experience in manufacturing process automation. Preferably in automotive production, aerospace MRO, biomedical production/laboratory.
• Proficient in 3D modeling CAD software.
• Essential IT/OT integration know-how towards digital transformation.
• Basic knowledge in machine learning frameworks and modelling.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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.

We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of inconsistency scores. 

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Job Responsibilities

• Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met.
• Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings).
• Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora.
• Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures.
• Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels.
• Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques.
• Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis.
• Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines.
• Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings.

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Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field.
• Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn.
• Prior experience or coursework in natural language processing, machine learning, or information retrieval.
• Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices.
• Experience with financial data or financial text analysis will be advantageous.
• Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous.
• Good communication skills and ability to work both independently and collaboratively.

We are seeking a talented and experienced Robotics Engineer to join our team. As a Robotics Engineer, you will be responsible for developing and implementing innovative robotic solutions, specializing in Embodied AI for robotics, with a focus on enabling safe and anticipatory human-robot collaboration (HRC). You will collaborate with cross-functional teams, research new technologies, and ensure optimal performance of robotic systems. A strong understanding of robotics principles, programming skills, and a passion for creating cutting-edge solutions are essential. Experience with robot vision and/or ROS2 (Robot Operating System), and working in semicon equipment sector is an advantage.

Roles & Responsibilities

• Develop and implement Embodied AI algorithms for safe and anticipatory human-robot collaboration.
• Implement safety-aware control and motion planning strategies for close-proximity human-robot interaction.
• Integrate perception, learning, and control modules into robotic systems for real-world testing and validation.
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Maintain detailed documentation of code, algorithms, and project progress, facilitating knowledge sharing within the team.

Job Requirements

• Bachelor degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong foundation in robotics, AI, or control systems.
• Experience or knowledge in one or more of the following areas: 2 years of experience
• Embodied AI and robot learning
• Safety-aware motion planning and control
• Proximity sensing and dynamic obstacle avoidance
• Multimodal perception
• Proficiency in programming languages such as Python, C++, or Matlab
• Experience in software development, including version control and debugging techniques
• Experience in industrial or manufacturing robotics environments.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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.

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-%28Wearable-Technology%29/32303-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are inviting applications for a Research Assistant/ Research Engineer position to join our dynamic and interdisciplinary team working on the development of haptics technologies for advanced human–machine interaction. The successful candidate will need to support research activities at the interface of micro/nanofabrication, tactile interface design, and wearable or immersive systems. This role offers hands-on training and experience in building and testing integrated haptic platforms capable of delivering precise, high-fidelity tactile feedback for applications in areas such as healthcare, robotics, and virtual/augmented reality.

The selected individual is required to:
•    Assist in experimental research related to haptic systems, including tactile feedback mechanisms and human–machine interaction studies.
•    Support micro/nanofabrication and materials processing for the development of haptic devices (e.g., flexible actuators, sensors, and interfaces).
•    Provide help with device assembly, integration, testing, and performance evaluation of haptic platforms for precision tactile feedback.
•    Conduct characterization of haptic responses (e.g., force, vibration, displacement) and assist in troubleshooting issues related to signal fidelity, latency, and user perception.
•    Collect, organize, and analyze experimental data using standard analytical tools and software.
•    Work closely with postdoctoral fellows and interdisciplinary collaborators including engineers, designers, and clinicians where applicable.
•    Contribute to laboratory documentation, technical reports, and preparation of figures for publications and presentations.
•    Maintain laboratory equipment, consumables, and ensure good laboratory practices are followed.

Qualifications

•    Possess at least a Bachelor’s or Master’s degree in Biomedical Engineering, Chemistry, Materials Science, Electrical Engineering, Biotechnology, or a related field.
•    Has prior hands-on laboratory experience in electrochemistry, biosensors, or bioassays (through coursework, projects, or research experience).
•    Has basic knowledge of surface chemistry, biomolecular functionalization, or analytical techniques is preferred.
•    Strong organizational skills and ability to follow experimental protocols carefully.
•    Good written and spoken communication skills.
•    Strong willingness to work in a multidisciplinary research environment.
•    Open to fixed-term contract. 

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.

We are looking for a Research Fellow to support and drive excellence in scientific research and technological innovations. The role will focus on sustainable and advanced building technologies.

Key Responsibilities:

This position’s key responsibilities include:

• Support research activities

• Support research project management

• Produce research outputs including reports, publications, presentations, etc.

• Coordinate different stakeholders in research projects

• Support research strategic development and securing funding

• Support research data management and documentation

Job Requirements:

• PhD degree in Mechanical/Electrical Engineering or related field

• At least 1 years of relevant experiences in scientific research / technical hands-on experience in building energy/power system control & optimisation.

• Familiarity with building energy/power system control & optimisation, building automation and control (BAC) system, Artificial Intelligence (AI) & Machine-Learning (ML) applications.

• Good written and oral communication skills

• Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.)

• Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc.

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-Fellow-%28Power-System-Design-and-Electrolyser-testing-for-Hydrogen-Production%29/32302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

At NUS, we are at the forefront of clean energy innovation, focusing on advanced technologies for sustainable hydrogen production. 
We are seeking a highly motivated and experienced Power Electronics Scientist to lead the design, modelling, control, and experimental validation of advanced power conversion systems for hydrogen production (electrolyzers), fuel cell integration, and hydrogen separation processes.
The candidate should be able to :
•    Design and develop high-efficiency DC-DC and DC-AC converters for electrolyzers and fuel cell systems
•    Develop advanced control strategies for grid-connected and standalone hydrogen systems
•    Perform modelling and simulation using MATLAB/Simulink and PLECS
•    Build and test laboratory prototypes of hydrogen-integrated power systems
•    Support R&D activities including publications and patent development
•    Optimizing of membranes for hydrogen separation, purification, and production applications.
•    Support cross-functional teams in the integration of membranes into hydrogen production units.

Qualifications

•    Is open to fixed term contract
•    Ph.D. in Electrical Engineering, Material Engineering, or related fields with a focus on hydrogen generation technology.
•    Proven experience in power electronics design and development
•    Strong expertise in power electronics (DC-DC, DC-AC converters) 
•    Hands-on experience with MATLAB/Simulink
•    Understanding of electrolyzers and fuel cells and Hydrogen production systems 
•    Excellent track record of publications or patents
•    Strong analytical and problem-solving skills 
•    Hands-on experimental mindset 
•    Ability to work across disciplines (electrical + chemical + systems) 

As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. 

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of a research team to investigate and determine potentially critical Commercial Off-The-Shelf (COTS) drone system vulnerabilities impacting confidentiality, integrity and availability.

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PIs and research team members to ensure all project deliverables are met.
• Undertake or help guide work and demonstrations in the following tasks:

1. Code exfiltration and binary reverse engineering.
2. Study, understand and analyse mobile platform applications.
3. Android app reverse engineering (Drone apps)
4. Static and Dynamic analysis(experience in tools like Frida, Burp, Wireshark)
5. Develop AI-assisted agents for automated firmware analysis and exploration
6. Build a controlled firmware-replica environment for evaluating protocol security
7. Design, develop and test control augmentation techniques.
8. Adaptation of developed techniques for more generic use.

• Perform project documentation and crafting of research papers.
• 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.

 Job Requirements

• A good degree in Computer Science / Engineering or higher.
• Proficiency with code exfiltration and reverse engineering.
• Proficiency with penetration testing techniques and tools.
• Proficiency with software scripting and development work on desktop and / or mobile platforms.

Key Competencies

• Self-directed learner who believes in continuous learning and development.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.
• Proficient in technical writing and presentation.
• Able to build and maintain good working relationships with people within and external to the university.

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-%28Advanced-Materials-Synthesis-and-Characterization%29/32306-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:
•    Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
•    Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
•    Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
•    Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
•    Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

•    Master’s degree in Materials Science, Chemistry, Physics, or a related field.
•    Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
•    Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
•    Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

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. 

We are looking for a Research Engineer to work on the NLP project The role will focus on researching the LLM effectiveness.

Key Responsibilities:

• Research and develop novel ML-based methodologies and algorithms for multilingual and multimodal LLMs.

• Working closely with other Postdoc/RA/PhD students to discuss the ideas and implement the system.

• The research should lead to publications in top-tier international conferences and journals

Job Requirements:

• Bachelor degree in Computer Science, Electrical Engineering or related disciplines

• Prior experience in NLP, and state-of-the-art ML techniques would be a plus;

• Good interpersonal communication and oral presentation skills;

• Experienced in working in a team, with people of diverse skillsets and cultural background

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