Total 86 electronic engineer job vacancies in Singapore

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The Research Fellow responsible for performing intelligent visual signal processing/compression/computing.

Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed

Key Responsibilities:

• To perform the pioneer research in exploring visual signal representation towards machine uses.
• To perform systematic investigation into the characteristics of visual signal representation for machine uses, to meet the emerging requirements for AI.
• To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses.
• To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization.
• To formulate a comprehensive visual feature codec for machine uses.
• To set up and analyze experiments and datasets under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of reports/papers and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students

Job Requirements:

• Possess a PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good experience and track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis.
• Prior research experience and track record in R&D and standardization.
• Prior experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, C, Matlab, …)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

Research Engineer, Algorithm and Operation Researcher for VR/AR system development

• Support the development of advanced VR/AR systems to enhance research. This position focuses on developing Unity-based applications, designing and integrating virtual environments with real-time tracking data for immersive visualization.

Key Responsibilities:

• Join the team to development of advanced VR/AR systems:
• Develop Unity-based applications for dynamic visualization and seamless user interaction.
• Design and implement immersive VR environments.
• Create and enhance high-resolution 3D models of animal and terrains, adding articulated joints for realistic movement and animation of animal model.
• Complete necessary technical documentation writing, summarizing and recording according to project progress.
• Collaborate with the team to achieve project milestones and undertake additional tasks required for successful project completion.

Job Requirements:

• Bachelor’s degree/master’s degree/PhD in computer science, electrical engineering, mechanical engineering or relevant area.
• At least 2 years of experience in Unity or Unreal Engine development.
• Experience with 3D modelling software (e.g., Blender, Maya).
• Proficiency in C# programming.
• Familiarity with VR hardware, especially Meta Quest Pro or equivalent devices.
• Hands-on experience with VICON tracking systems or similar technologies is advantageous.
• Relevant project experience in VR/AR development.

We regret that only shortlisted candidates will be notified

At Temasek Laboratories@NTU, our mission is to undertake cutting-edge research in defence science and technology, driving new solutions and advancements across various research areas, including Microsystems Technology, Hardware Assurance, Signal Processing, Advanced Materials, Advanced Laser Technology, and Emerging Technologies.

Microsystems Technology Development Centre (MTDC) at TL@NTU is having ISO certified III-V Wafer Fabrication Line up to 100-mm diameter wafers with strong industrial/academic experienced Technical Specialists/ Engineers/ Scientists. We are a fast-paced research facility that designs, develops, and manufactures integrated chips, i.e. heterogeneous system in package modules, for defence and commercial applications.

We are looking for a hands-on Thin Film engineer who demonstrates a positive attitude, collaborates well in a team, and possesses strong technical abilities along with sound problem-solving skills.

Key Responsibilities:

• Work with the module leader and execute the design of experiment (DOE) using advanced techniques such as sputtering, evaporation, and chemical vapor deposition (e.g. SiO2, SiON, TaN, Au, Ti, Al, Ni, Pt and etc.).
• Develop and optimize deposition parameters to achieve precise film thickness, uniformity, and quality.
• Help to identify and troubleshoot process issues, working towards yield enhancement and performance improvement.
• Utilize a range of characterization techniques, including optical microscopes, surface profiler, SEM, Ellipsometer to analyze thin film properties.
• Maintain detailed documentation of processes such as standard operating procedure (SOP), experimental setups, and results for future reference and knowledge transfer and including training.
• Oversee the operation of laboratory equipment and ensure proper functioning. Work with the equipment vendor to conduct routine maintenance, troubleshooting, and calibration of equipment to minimize downtime.
• Work with the University’s procurement team to source and acquire necessary equipment. Evaluate and select vendors, ensuring equipment aligns with research requirements and budget constraints.
• Adhere to laboratory safety protocols and ensure compliance with University and regulatory standards.
• Collaborate with different modules and team members.
• Communicate effectively with team members, providing updates on processes and status of equipment.

Job Requirements:

• Diploma in Engineering (e.g. Microelectronics, Electrical & Electronics Engineering, Material Engineering) with 3 years of relevant working experience or Bachelor’s degree in any Engineering (e.g. Microelectronics, Electrical & Electronics Engineering, Material Engineering).
• Hands-on working experience in semiconductor fab/cleanroom environment in Thin Film area preferred (e.g. SiN, SiO2, TaN, Al, Au, Ti, Ni, Pt and etc.).
• Ability to create and analyze DOE for Thin Film process.
• Experience in wet bench processes, especially the lift-off technique, is essential.
• Basic knowledge in semiconductor fabrication process and device physics.
• Strong understanding of thin film materials and their properties, with expertise in process optimization and troubleshooting.
• Excellent problem-solving skills and ability to work effectively in a collaborative team environment.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.
• Commitment to maintaining high standards of safety, quality, and professionalism in all aspects of work.

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

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

To support the research project titled:

• Technology Development of Thermal Management, Lifetime Assessment and Prognostics for Li-ion Battery Energy Storage System in Next-Generation Grid
• Design and Development of Compact Energy Storage System
• Design and Development of ESS coupled with solid state transformers

This job position is required for recruiting a highly educated and experienced researcher with experience to develop battery management system for lithium-ion battery packs in energy storage system application. It will also fulfil the objective of NTU in developing energy storage system and novel renewable energy technologies.

Key Responsibilities:

• Develop overall battery management scheme according to system performance requirement
• Design and develop software of battery management system
• Design and develop hardware and PCB layout of battery management system
• Design and develop state estimation algorithm of battery management system
• Design and develop balancing control strategy of battery management system
• Conduct simulation test and debug of developed software of battery management system
• Conduct simulation test, layout design, PCB design, manufacturing, and testing
• Conduct simulation test of the designed algorithm, balancing strategy.
• Responsible to prepare design progress document and final project report

Job Requirements:

• Masters degree in electronics, control, electrical, or similar
• Research or working background in lithium-ion battery product development and production is a must.
• Experience in technology development for lithium-ion battery management system is required.
• Candidate must be familiar with design requirements on control, state estimation, balancing of battery packs
• Familiar with software like Matlab/Simulink, Keil, CodeWarrior, Altium Designer.
• Understand development progress of battery management system product
• Self-motivated and takes initiative
• Independent and can work well with a team
• Organized and detail oriented
• Excellent verbal and written communication skills

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We seek to appoint a Research Engineer II (fixed term, 30 months) to work on uncertainty quantification in LLMs.

Key Responsibilities:

• Work with project team in setting up and maintaining the project’s compute infrastructure, ensuring that these meet the needs of the project.
• Maintaining the project’s internal communication infrastructure to ensure that researchers across all three universities are able to work effectively together.
• Collaborate with the project team on research pertinent to the project, by
  Contributing to and developing ideas for novel methodologies and understanding of the research questions,
  Acting as a source of information and advice to other members of the research team, especially on computational matters
  Enabling large scale research implementations and managing research experiments,
  Contributing to the writing of research papers and submissions to high profile venues,
  Leading on efforts at open sourcing research code, and
  Presenting outcomes at international conferences and workshops.

The postholder will carry out any other duties that are within the scope, spirit and purpose of the job, as requested by their Reporting Officer.

Job Requirements:

Essential criteria

• Close to completion or holds a MSc or above in a relevant technical subject (e.g. computer science, statistics, engineering).
• Possess strong publication track record in machine learning or related fields.
• Possess sufficient specialist knowledge, research skills and interests in deep learning and large language models to work within established research programmes and contribute ideas and solutions.
• Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks (pytorch, jax, huggingface) as well as popular open source codebases and LLM APIs.
• Possess strong motivation and interests in developing computational infrastructure (including both software and cloud solutions) to enable large scale implementations and experimentations in large language models.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

We regret that only shortlisted candidates will be notified.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies. CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences, the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore and transfer these solutions to Southeast Asia (SEA) and beyond. As part of this programme, Cross Cutting Theme 2: Satellite Remote Sensing will map and monitor the impact and solutions of climate change in Southeast Asia region.

The Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS) at Nanyang Technological University in Singapore invites applications for a Research Fellow / Scientist / Engineer to support CTP Cross Cutting Theme 2 (Satellite Remote Sensing). The EOS-RS teams’ research covers SAR, multi/hyper-spectral remote sensing, LiDAR, and GNSS data for disaster response and hazard monitoring for earthquakes, volcanoes, and impacts of climate change.

EOS is a University Research Institute at Nanyang Technological University that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg.

EOS-RS and CTP welcomes applications from qualified candidates who have interests and expertise relevant to the use of remote sensing for mapping, monitoring, and understanding the causes and effects of climate change. We are particularly interested in candidates who have expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation, mapping surface changes due to disaster events, and mapping ocean colours and ocean topography for carbon flux estimates. We are also interested in candidates who have experience applying machine learning to InSAR and other remote sensing observations.

Successful candidates will have a Master’s/PhD in a relevant field (e.g., earth science, electrical engineering, image processing, and deep learning), expertise in processing and modelling geodetic data using open-source analysis tools, an ability to apply AI/ML techniques to remote sensing data; and demonstrated track record of impactful research or projects in topics related to the position. They will also have strong English and communication skills, the ability to write code using Python or MATLAB, the desire and ability to work as part of a multicultural team, and a demonstrated ability for creating intellectual value.

Additionally, the successful candidate will be part of the large and interdisciplinary research teams at EOS, the Asian School of the Environment (ASE), and the School of Electrical and Electronic Engineering (EEE), helping to develop algorithms and systems for disaster mapping and climate change in collaboration with space industries and responding agencies around the world. They will collaborate with the geodesy group and many other groups at EOS/ASE.

Key Responsibilities:

• Architect and develop InSAR-based remote-sensing solutions and capabilities grounded in current research to address needs of scientists and external stakeholders
• Coordinate and manage application development and experimentation efforts across projects and synergies
• Conduct feature experimentation and develop applications both independently and in a team
• Help to mentor Research Assistants/Associates

Job Requirements:

• Master’s/PhD in Earth science, geophysics, geodesy, physics, electrical engineering, natural hazards, computer science, machine learning, or a related field.
• Demonstrated expertise in processing SAR data (with open-source tools such as ISCE or GMTSAR) for surface deformation measurement and change mapping.
• Strong technical skills in data processing for remote sensing applications; experience in optimizing and implementing automated processing pipelines (in cloud, HPC environments) for multi-modal, large remote-sensing datasets for machine and deep learning desired.
• Evidence of the ability to write and present at the level required for peer-reviewed scientific journals and international conferences, which will usually be in English.
• Evidence of independence in research direction and team spirit.

Interested applicants should submit a CV, list of publications, research statement, diversity and inclusivity statement, and the names and contact information for three referees. For additional information please email Assoc. Prof. Sang-Ho Yun at [email protected]. Applications will be reviewed on an ongoing basis.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

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

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop and implement the data and model interface for the AI/Data Twin platform with IoT or BMS systems.
• Debug and deploy the AI/Data Twin platform in on-site or cloud environments.
• Collaborate with the team to develop automation tools to optimize integration and deployment processes.
• Regularly maintain deployed platforms and perform data analysis.
• Prepare system delivery documents and maintenance reports.
• Quickly identify issues and develop solutions.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Automation, or a related field.
• 2-3 years of experience in DevOps and IT systems maintenance (Linux).
• Proficient in operating systems, Docker, and Kubernetes.
• Skilled in Shell programming and fundamental Python programming.
• Familiar with cloud platforms such as AWS and Azure.
• Understanding of DevOps and automated testing tools, such as Ansible and Selenium.
• Excellent communication and problem-solving skills.
• Priority given to those with a background in power systems or cooling systems.
• Ability to quickly learn new technologies.

We regret that only shortlisted candidates will be notified.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Artificial Intelligence.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good English writing and communication skills - for research purposes
• Independent and team player.

We regret that only shortlisted candidates will be notified.

The Air Traffic Management Research Institute (ATMRI) is the first institute in Singapore to be entirely dedicated to Air Traffic Management research. As part of its agenda for innovation, it is seeking to recruit a Research Engineer to work on the AI-Assisted ATFM project, to deliver an operationally ready prototype of an AI enabled ATFM system. This job will be responsible for contributing to the research transition into development, by documenting existing AI tools, including those designed by ATMRI researchers, and integrate them into operational software development.

Key Responsibilities:

• Interpret research papers and program, for conversion into applicable software development. Develop a vision for transforming research papers into technologies ready for deployment.
• Design and develop the front and backend of the applied research, for operational use. Work closely with the researchers and stakeholders to design a user-centric, ready for development software that emphasizes the benefits for end-users.
• Rigorously document every aspect of the software development, for integration into industrial development.
• Participate in meetings and workshops with fellow researchers and stakeholder partners to discuss the future directions for research and development.

Job Requirements:

• Bachelor / Master of Engineering in Computer Science or a related field.
• Impeccable English writing and communication skills
• 1+ year experience in industrial software development
• Experience in the development of APIs, UI, authentication and actualization systems, with proficiency in several programming languages (Python, Java, C++…)
• Industrial or operational prior experience in air traffic services is a plus.

We regret that only shortlisted candidates will be notified.

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc

We are looking for a Research Engineer to develop, implement, and oversee techniques and systems in Trust Technology and related areas such as privacy, security and blockchain, which are important components of digital trust platforms. The role will focus on emerging technologies that engenders trust and espouse the values of fairness, safety, and privacy in digital technologies.

Key Responsibilities:

• Conduct research into trust technologies testing – translating algorithms, tools, and frameworks into working prototypes that can explain how research outputs can be productised into new capabilities.
• Work closely with Centre’s researchers to design and develop system implementation work from research into the product.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Master’s degree in computer science/ engineering or related fields.
• Proficiency in Python is essential; experience with Java, C/C++, Go, and PyTorch/TensorFlow is a plus. Proficient with Linux (e.g., Ubuntu, CentOS) and shell scripting.
• Experience in developing and deploying machine learning models, especially in NLP and LLMs, covering tasks like data preprocessing, feature extraction, training, and evaluation.
• Strong knowledge of machine learning and deep learning techniques (e.g., knowledge graphs, machine unlearning, AI testing). Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) experience required.
• Familiarity with Git and collaborative development tools with experience in end-to-end ML system development (data exploration, feature engineering, model training/evaluation) is advantageous.
• Solid understanding of software engineering principles and best practices and the ability to explain complex technical concepts to both technical and non-technical audiences.
• Strong analytical, problem-solving, and innovative thinking skills and a good understanding of ethical AI practices, especially related to data privacy and security.
• Self-motivated, able to work independently in a fast-paced environment with strong collaboration skills. Experience working in cross-functional teams with attention to detail and commitment to delivering high-quality results.
• Experience in research on mechanistic interpretability.
• Experience in the implementation of multi-modal LLMs or vision-language models.

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

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to 3D Animation.

Key Responsibilities:

• Design and implement user interfaces for interactive 3D animation tools and systems.
• Build dynamic web applications using modern front-end frameworks.
• Collaborate with back-end developers to integrate front-end solutions with server-side logic.
• Optimize web applications for maximum speed and scalability.
• Develop and maintain RESTful APIs for efficient communication between components.
• Contribute to database design, development, and optimization for project needs.
• Utilize containerization technologies like Docker for application deployment and scaling.

Job Requirements:

• Bachelor’s degree in relevant disciplines.
• Proficiency in HTML5, CSS3, and JavaScript.
• Hands-on experience with Vue.js or similar front-end frameworks.
• Familiarity with the Django back-end framework for server-side development.
• Strong knowledge of database design and optimization.
• Experience in designing and developing RESTful APIs.
• Working knowledge of containerization technologies such as Docker.
• Ability to work collaboratively within a multidisciplinary team and deliver high-quality code.

We regret that only shortlisted candidates will be notified.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to 3D Animation.

Key Responsibilities:

• Design and implement user interfaces for interactive 3D animation tools and systems.
• Build dynamic web applications using modern front-end frameworks.
• Collaborate with back-end developers to integrate front-end solutions with server-side logic.
• Optimize web applications for maximum speed and scalability.
• Develop and maintain RESTful APIs for efficient communication between components.
• Contribute to database design, development, and optimization for project needs.
• Utilize containerization technologies like Docker for application deployment and scaling.

Job Requirements:

• Bachelor’s degree in relevant disciplines.
• Proficiency in HTML5, CSS3, and JavaScript.
• Hands-on experience with Vue.js or similar front-end frameworks.
• Familiarity with the Django back-end framework for server-side development.
• Strong knowledge of database design and optimization.
• Experience in designing and developing RESTful APIs.
• Working knowledge of containerization technologies such as Docker.
• Ability to work collaboratively within a multidisciplinary team and deliver high-quality code.

We regret that only shortlisted candidates will be notified.

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc

We are looking for a Research Engineer to develop, implement, and oversee techniques and systems in Trust Technology and related areas such as privacy, security and blockchain, which are important components of digital trust platforms. The role will focus on emerging technologies that engenders trust and espouse the values of fairness, safety, and privacy in digital technologies.

Key Responsibilities:

• Conduct research into trust technologies testing – translating algorithms, tools, and frameworks into working prototypes that can explain how research outputs can be productized into new capabilities.
• Work closely with Centre’s researchers to design and develop system implementation work from research into the product.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Bachelor’s degree in computer science/ engineering or related fields.
• Proficiency in Python; experience with Java, C/C++, Go, and PyTorch/TensorFlow is a plus.
• Proficient with Linux (e.g., Ubuntu, CentOS) and shell scripting with experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Familiarity with version control systems (Git) and collaborative development tools.
• Experience in developing and deploying machine learning models, especially in NLP and LLMs, including tasks like data preprocessing, feature extraction, and model training/evaluation. Strong knowledge of machine learning, deep learning (e.g., knowledge graphs, AI testing, machine unlearning).
• Experience in end-to-end ML system development (data exploration, feature engineering, model training/evaluation) with strong understanding of software engineering principles and best practices as well as attention to ethical considerations in AI, including data privacy and security.
• Ability to communicate technical concepts to both technical and non-technical stakeholders, with strong analytical, problem-solving, and collaborative skills
• Self-motivated, able to work independently in a fast-paced environment.

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

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc

We are looking for a Research Engineer to Support research in exploring mechanistic interpretability of vision-language models. Vision-Language Models (VLMs) are powerful tools for processing and understanding text and images. This research aims to study the processing of visual tokens in the language model component of VLM. The role will focus on analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.

Key Responsibilities:

• Conduct research and analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Bachelor’s / Master’s degree in computer science or related field
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Conduct research and analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

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

Nanyang Technological University’s ANT Group – NTU Joint Lab is a collaboration between ANT International and NTU. The partnership will explore privacy-preserving methods for large language models (LLMs) and will be overseen by a joint research committee.

We are looking for a Research Engineer II to involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying fully homomorphic encryption in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Research and development of trust technologies such as privacy-preserving machine learning which are important components of digital trust platforms.
• Be involved in privacy-preserving machine learning and fully homomorphic encryption system development and implementation.
• Assist in preparation of reports and scientific papers.

Job Requirements:

• Master’s degree in computer science, mathematics, information theory or related field
• Participation in privacy, security, and trust related conferences and journals
• Good programming skill, preferably with experience in implementing cryptographic algorithms.
• Be familiar with the following programming languages: C/C++
• Good communication skill, self-motivated, and could deliver under tight schedule

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

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.

We're hiring a Full-Stack Software Engineer for a short-term role to develop a software that employs artificial intelligence to manage ship and crew risks.

Key Responsibilities:

• Develop new software or enhance existing platforms to connect with multiple devices (e.g., smartwatches and tablets) and databases (e.g., AIS and weather data).
• Design and implement systems to monitor and control ship risks and enhance seafarer wellbeing.

Job Requirements:

• Education Qualification: Degree in Software Development and Engineering or equivalent
• Key Computing Skills:
  Proficiency in JavaScript or TypeScript (preferably TypeScript).
  Experience with Node.js.
  Competence in React.
  Knowledge of SQL databases (e.g., PostgreSQL, MySQL, or MariaDB).
  Knowledge of NoSQL databases (e.g., MongoDB, CouchDB, or Redis).
• Interpersonal skill
  Ability to work independently and develop solutions under strict timelines
  Meticulous attention to detail, with excellent organisational and time management skills
• Strong written and oral communication abilities
• Familiarity with the maritime industry is an advantage

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

The EOS/ASE Geodesy Group at NTU is searching for a Research Engineer II to work under the supervision of Prof Emma Hill on the role of tectonics in modifying regional relative sea level (RSL). The successful candidate will analyse geodetic data and conduct numerical modelling to estimate RSL related to past and future earthquakes and other processes of land-height change in Southeast Asia.

Further to this, they will work on projects aimed at effective communication of these results to policymakers and other stakeholders. They will investigate best practices for communicating probabilistic estimates of potential future impacts of earthquakes on RSL. The successful candidate will have a Bachelors’ degree in Earth Science, natural hazards, remote sensing, geodesy, computer science, data science, or a related subject. Most importantly they will have enthusiasm to engage in the research work of our group, and a passion for making Southeast Asia a safer and more sustainable place for all communities in the region.

Key Responsibilities:

• Analyze and interpret geodetic and remote sensing data from regional observing networks and satellites to further our understanding of land-height change in Southeast Asia.
• Conduct numerical modeling of tectonic processes, including to use numerical modeling techniques to model deformation resulting from viscoelastic deformation of the Earth’s asthenosphere.
• Conduct probabilistic analysis for potential future impacts of earthquakes on RSL.
• Conduct studies into best practices for communication of results on RSL from tectonics to policymakers and other key stakeholders, including discussion with these groups to learn their needs.

Job Requirements:

• Bachelor’s degree in Earth or environmental science.
• At least 4 years of experience working in an Earth science field.
• Demonstrated experience in geodetic data analysis and numerical modelling of tectonic deformation.
• Demonstrated experience conducting scientific research.
• Demonstrated ability to write and present at the level of peer-reviewed scientific journals and international conferences, which will usually be in English.
• Collaborative mindset and strong teamwork skills.
• Evidence of lead authorship of papers submitted or accepted into peer-reviewed journals would be a plus.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled. We regret to inform that only shortlisted candidates will be notified.

To apply, please submit a CV, cover letter, statement of research interests, and the names of three referees.

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

Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Engineer II.

Key Responsibilities:

• Conduct cutting-edge research in large language models, translating theoretical algorithms, frameworks, and methodologies into practical, working prototypes that demonstrate potential product applications.
• Collaborate closely with researchers and engineers to design and implement system architectures and software solutions that transition research findings into scalable, deployable products.
• Develop and build tools and frameworks to facilitate the transfer of LLM capabilities to industry partners, showcasing the practical value and impact of the research outcomes.
• Create and maintain comprehensive technical documentation, including white papers, presentations, and tutorials, to disseminate knowledge to a broader audience and enhance overall expertise in these emerging areas.
• Engage with international research communities and partners to stay abreast of the latest advancements in machine unlearning, contributing to discussions, collaborations, and initiatives that elevate Singapore’s position in the global AI and privacy research landscape.

Job Requirements:

• Minimum Masters’s degree in computer science/ engineering or related fields.
• Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
• Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
• Strong knowledge of machine learning and deep learning techniques, including knowledge graphs, machine unlearning, and AI testing.
• Proficiency in working with common Linux distributions (e.g., Ubuntu, CentOS) and familiarity with shell scripting and command-line tools.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a must.
• Experience with version control systems (e.g., Git) and collaborative development tools.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Experience in AI model testing methodologies, including robustness, fairness, and explainability assessments, as well as understanding data privacy and security considerations in AI.
• Good understanding of relational database and Unix shell scripting skills.

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

A Corp Lab in NTU is looking for a Research Engineer I or II to work on Large Language Models for Health. This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in project-based research.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and team members/engineers to design and implement LLMs-based conversational agents.
• Assist in data and LLM analysis and conducting experiments for project-based research questions.
• Assist in developing algorithms and models based on existing LLMs to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning in conversational agents.

Job Requirements:

• Master’s degree or Bachelor’s Degree in computer science/engineering.
• Solid knowledge in Natural Language Processing, LLMs, or conversational AI.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Able to test, debug and optimize existing code base and other features.
• Excellent communication skills and good problem-solving skills.
• Relevant publication record in NLP and conversational AI is preferred.

We regret that only shortlisted candidates will be notified.

Nanyang Technological University’s Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRiPTS) represents a one-stop Centre for knowledge, technologies, and solutions for privacy-preserving problems in Singapore. The candidate will work with the research team to perform scientific research and contribute to industrial and government-related projects. For more details, please view https://www.ntu.edu.sg/scripts

We are looking for a Research Engineer to develop, implement and oversee our leading-edge backend application platform for SCRiPTS. The role will focus on software development with regards to verifiable computation.

The applicant should possess a good understanding of service-oriented architecture (SOA) middleware and integration technologies/ frameworks, with a keen interest in the application of privacy preserving technologies, machine learning, blockchain, and TEE.

Key Responsibilities:

• Installation and configuration, platform operations, troubleshooting and supporting API development, along with other related tasks.
• Development will focus on privacy-preserving techniques including but not limited to the field of Verifiable Computation (VC), Multi-Party Computation (MPC), Federated Learning (FL), blockchain, and Trusted Execution Environment (TEE).
• To learn the basics of privacy preserving technologies, machine learning, and blockchain.
• Work closely with our researchers to modify existing cryptographic libraries and/or develop similar modules.

Job Requirements:

• Bachelor’s degree in computer science/ engineering or related fields.
• Proficiency in programming languages Python, C/C++. Experience in other programming languages such as Java, Go, Rust will be an advantage. Experience in implementing smart contracts, and using frameworks such as Circom, SnarkJS, MP-SPDZ, TensorFlow will be an advantage.Proficiency with using common Linux distributions such as Ubuntu (including shell scripting) is a must. Knowledge on basic networking and communication protocols is a must, as this is needed to develop backend messaging requirements for certain privacy libraries. Knowledge of basic cryptographic primitives such as encryption, digital signatures, and hash functions will be an advantage.
• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers as well as the DevOps team at the Centre.
• Ability to work independently and to develop solutions under strict timelines is a must
• Entry level candidates are welcome to apply.

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

Digital Trust Centre (DTC) is looking for a candidate to join them as a Senior Research Engineer I

Key Responsibilities:

• Conduct research into trust technologies testing – translating research algorithms, and design/develop tools and frameworks into working prototypes that can explain how research outputs can be productised into new capabilities
• Work closely with Centre’s researchers to design and develop system implementation work from research into product
• Design and build working tools that can support technology transfer of new research capabilities to practical solution capabilities that can be used to showcase the value of a given research outcome
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, help to educate and raise the overall competency of Singapore manpower in emerging areas of trust technologies
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain
• Responsible for the system and architecture design of trust solutions for digital transformation in addition to their engineering and implementation

Job Requirements:

• Masters’ degree in computer science, software engineering, information theory or relevant field
• 5 years of experience in software engineering, system development
• Familiar with at least one of the following programming languages: C/C++, Python, Java
• Good communication skills
• Self-motivated, and could deliver under tight schedule

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

Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Engineer II.

Key Responsibilities:

• Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working prototypes that can demonstrate how research outputs can be innovated to build new capabilities.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Master’s degree in computer science/ engineering or related fields required.
• Candidates with minimum of 5 years continuous working experience in a similar role will be considered when appropriate.
• Bachelor degree with minimum 8 years relevant experience may be considered
• Proficiency in programming languages Java, C/C++ is a must.
• Experience in other programming languages and/or frameworks such as Python, Spring will be an advantage.
• Proficiency with using common Linux distributions such as Ubuntu, CentOS is a must.
• Proficiency and experience in developing network and communication protocols and using socket programming in cloud-based systems is a must.
• Proficiency in installing, configuring and using SQL database is a must. Experience in other data processing technologies such as NoSQL, Hadoop will be an advantage.
• Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.
• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers at the Centre.
• Ability to work independently and to develop solutions under strict timelines is a must.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Good knowledge of system platform development, socket programming, middleware technologies, API development, related application frameworks and service layer models.
• Familiarity with general API security concepts (such as key validation, authentication, authorisation)
• Good understanding of relational database and Unix shell scripting skills.

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

Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Engineer II.

Key Responsibilities:

• Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working prototypes that can demonstrate how research outputs can be innovated to build new capabilities.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Master’s degree in computer science/ engineering or related fields required.
• Minimum of 5 years continuous working experience in a similar role will be considered when appropriate.
• Bachelor degree with minimum 8 years relevant experience may be considered.
• Proficiency in programming languages Java, C/C++ is a must.
• Experience in other programming languages and/or frameworks such as Python, Spring will be an advantage.
• Proficiency with using common Linux distributions such as Ubuntu, CentOS is a must.
• Proficiency and experience in developing network and communication protocols and using socket programming in cloud-based systems is a must.
• Proficiency in installing, configuring and using SQL database is a must. Experience in other data processing technologies such as NoSQL, Hadoop will be an advantage.
• Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.
• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers at the Centre.
• Ability to work independently and to develop solutions under strict timelines is a must.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Good knowledge of system platform development, socket programming, middleware technologies, API development, related application frameworks and service layer models.
• Familiarity with general API security concepts (such as key validation, authentication, authorisation)
• Good understanding of relational database and Unix shell scripting skills.

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