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 are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Large-scale Deep Learning Models (LMs), with a focus on learning theory and security of LMs from a physical perspective.

Job Responsibilities:

• To conduct independent research in large-scale deep learning models.
• To investigate the learnability of LMs from a physical perspective.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To collaborate with interdisciplinary teams, including experts in physics, mathematics, deep learning and other application domains.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Computer Science or relevant fields.
• Strong background in quantum machine learning or physics-based approaches to model learning, enabling the candidate to contribute physical insights into the learning and security of LMs.
• Strong publication record in top conferences/journals, such as Nature Communications, PRL, T-PAMI, NeurIPS, ICML, ICLR, and etc.
• Experience in interdisciplinary studies of deep learning, mathematics, and physics is preferred.
• Strong theoretical background in quantum learning theory, representation learning, and quantum computing.
• Good programming skills in Python. Familiarity with PyTorch or Tensorflow is a bonus.
• Proficiency of programming skill with quantum machine learning architectures, such as PennyLane, Qiskit, and similar platforms, is preferred.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret 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 are seeking for a Research Associate for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Generative AI, with a focus on creating long and smooth videos.

Job Responsibilities:

• To conduct independent research in large-scale deep learning models.
• To conduct independent research in large language model theory and trustworthy machine learning.
• To produce publications in top conferences and journals, such as ICML, NeurIPS, and ICLR.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners in understanding large language models and developing more fair, robust, and explainable models.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably Master’s degree in Computer Science or relevant fields.
• A strong background in trustworthy machine learning, particularly in privacy and fairness.
• Solid publication records in privacy and fairness in machine learning.
• Experience in generative AI is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret 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 are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Generative AI, with a focus on creating long and smooth videos.

Key Responsibilities:

• To conduct independent research in deep learning.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Computer Science or relevant fields.
• Strong background in deep learning and multi-modal learning.
• Strong publication record in top conferences/journals, such as CVPR, NeurIPS, AAAI, IJCAI, T-PAMI, IJCV, and etc.
• Experience in generative AI is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret 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 are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Large-scale Deep Learning Models (LMs), with a focus on learning theory and security of LMs from a physical perspective.

Key Responsibilities:

• To conduct independent research in large-scale deep learning models.
• To investigate the learnability of LMs from a physical perspective.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To collaborate with interdisciplinary teams, including experts in physics, deep learning, and application domains.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Physics, Computer Science, Machine Learning or relevant fields.
• Strong background in quantum machine learning or physics-based approaches to model learning, enabling the candidate to contribute physical insights into the learning and security of LMs.
• Strong publication record in top conferences/journals, such as PRL, NeurIPS, T-PAMI, TNNLS, and etc.
• Experience in interdisciplinary studies of deep learning and physics is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Proficiency of programming skill with quantum machine learning architectures, such as PennyLane, Qiskit, and similar platforms, is preferred.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

The Earth Observatory of Singapore (EOS) at Nanyang Technological University seeks a Research Associate to support the Air Pollution and Health team's research, led by Prof. Steve Yim. The research focuses on the interactions between climate and air quality, and the resultant impacts on public health and ecosystem.

The position will be required to develop and apply modeling techniques to simulate the spatial distribution of air pollutants in a city at a high spatial resolution, and work on data collection, data processing, model development and application, and data analyses. The position has to document the model development and results in reports and peer-review international journals.

Key Responsibilities:

• To collect required data for model development.
• To develop models capable of simulating the spatial distribution of air pollutants at high spatial resolution.
• To apply the developed models to simulate the spatial distribution of air pollutants.
• To analyze the model results of various air pollutants considering meteorological processes and chemical reactions; and
• To document the model development and results in reports and peer-review international journals.

Job Requirements:

• Have a master or Ph.D. degree in atmospheric science/geography/meteorology/environment.
• Have experience in development of spatial models especially land-use regression model or machine learning.
• Strong communication skills and independence in research direction and team spirit.

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 that only shortlisted candidates will be notified.

NTU College of Humanities, Arts and Social Sciences (CoHASS) is a union of four Schools and two Centres – the School of Art, Design and Media (ADM), the School of Humanities (SoH), the School of Social Sciences (SSS), the Wee Kim Wee School of Communication and Information (WKWSCI), the Nanyang Centre for Public Administration (NCPA) and the Centre for Contemporary Art (CCA). We are currently home to more than 6,000 students, as well as faculty, research and administrative staff.

We are looking for a Research Associate who will perform a variety of functions related to research under the supervision of the Principal Investigator (PI).

Key Responsibilities:

• Assist in coordinating and running research projects
• Work closely with collaborators and third party service providers in conducting research
• Help with data collection for projects related to regional geopolitics and geoeconomic trends and developments
• Conduct and interpret quantitative and qualitative data analyses for projects and journal publications
• Research and writing of short reports on specific developments, trends, patterns in regional affairs
• Actively contribute to preparation of manuscript drafts for peer-reviewed journals
• Undertake any additional duties as required by the supervisor

Job Requirements:

• Masters degree in related field
• Extensive media experience as well as the subject interest (Southeast Asian/East Asian politics and/or international relations)
• Demonstrated experience in research writing through publications in Asian politics, screen writing, research and journalism
• Proficiency with Microsoft Office
• Experience in quantitative data analysis using relevant statistical tools (e.g. SPSS, AMOS) will be preferred
• As this is a research role, analytical, verbal, and written communication skills will be preferred. Given the research scope, being fluent in English and knowing Mandarin will be advantageous.
• Highly motivated and willing to work independently in a multidisciplinary setting
• Interest in regional security and economics in the Asia-Pacific would be preferred

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

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

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

ANGEL is looking for a motivated Research Scientist to review the literature, define problem statements, formulate optimization problems, develop advanced AI algorithms, and implement solutions and tests for LAE optimal flight routing, improve battery usage, manage global and local air traffic, and conduct simulations of the proposed algorithms.

Key Responsibilities:

• To survey the literature related to Low Altitude Economy (LAE) and energy consumption models
• To define problem statements to reduce energy consumption in LAE with multiple UAVs
• To formulate optimization problems and develop AI algorithms to reduce energy consumption, increase safety and reliability, and meet all LAE user demands
• To test and fine-tune the algorithms to achieve the best performance

Job Requirements:

• Ph.D. in Computer Science, Electrical Engineering, or related disciplines
• Strong research experience
• Good track record of publications
• Good teamwork and collaboration skills
• Research background in data analytics and machine learning

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

CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity, leveraging NTU’s core competencies in Engineering, Exact Sciences, International Studies and Business, among others.

We have a dedicated core team that uses its domain expertise and global experience while leveraging on NTU’s vibrant research culture and comprehensive R&D infrastructure to deliver state-of-the-art R&D projects. We engage with local as well as global agencies and industry partners to develop capabilities for a number of areas of strategic importance including:

• cyber worthiness of autonomous vehicles
• cyber risk management, advanced threat intelligence
• secure-by-design for IoT and policy
• governance of cybersecurity

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

We are looking for a Research Engineer to contribute to advancing research in software security and source code auditing. The role will focus on developing and applying Large Language Models (LLMs) to detect logic bugs and vulnerabilities in software systems, ensuring the reliability and security of critical software systems.

Key Responsibilities:

• Conducting research on the development of an LLM-based code auditing agent to identify vulnerabilities and improve code quality in software systems.
• Developing tools to identify and analyze the business logic of software applications, ensuring alignment with functional requirements.
• Building and maintaining a comprehensive vulnerability database for software systems, cataloging known issues and patterns for further analysis.
• Writing high quality paper based on results.

Job Requirements:

• Bachelor's degree in computer science, cyber security or related field.
• Familiarity with common software vulnerabilities, static program analysis and large language models.
• Good written and oral communication skills.
• Proficiency in at least one programming languages for static analysis; building LLM-based agent systems.
• Good publication on static program analysis and LLM for security.

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

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

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

We are looking for a Research Fellow to investigate ribosome-associated protein degradation. The role will focus on exploring how cells identify and degrade faulty proteins produced from stalled ribosomes, with an emphasis on understanding the molecular players and pathways involved in maintaining protein homeostasis.

Key Responsibilities:

• Develop and execute experimental strategies to study ribosome-associated protein degradation pathways.
• Analyze large datasets from proteomics, transcriptomics, or other high-throughput methods to identify novel components or interactions.
• Prepare high-quality research manuscripts, present findings at conferences, and contribute to grant proposals.
• Mentor junior lab members, including graduate and undergraduate students, and foster a collaborative research environment.
• Maintain detailed experimental records, ensure adherence to safety regulations, and contribute to the overall organization of the lab.

Job Requirements:

• PhD degree in biology or related field
• At least 4 years of relevant experience in biology research (including graduate study) / technical hands-on experience in yeast genetics.
• Familiarity with advanced techniques and methodologies in molecular biology, biochemistry, and cell biology, as well as adherence to ethical research standards and best practices in the field.
• Good written and oral communication skills.
• Proficiency in data analysis, and statistical tools, including the ability to organize, process, and interpret experimental data effectively.
• Competent in soft skills such as clear and effective communication, teamwork, problem-solving, and the ability to present and visualize complex scientific data for diverse audiences.
• Strong interpersonal skills, including the ability to work independently, develop solutions under strict timelines, maintain meticulous attention to detail, and demonstrate excellent organizational and time management abilities.
• Entry level candidates are welcome to apply.

The College of Science 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.

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

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

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

A Research Fellow position is available in the laboratory of Oliver Mueller-Cajar, School of Biological Sciences, Nanyang Technological University, Singapore. The project will focus on expanding the carbon fixation machinery of microalgae to enhance photosynthesis and biomass production.

Key Responsibilities:

The Research Fellow will take ownership of agreed upon scientific problems and fully dedicate his or her efforts towards these goals. They will devise and carry out appropriate experiments, analyse and interpret data and ultimately communicate the findings by publication in journals and attendance at scientific conferences.

• Read and interpret the relevant scientific literature
• Design and carry out experiments
• Draft manuscripts
• Supervise and train new group members (e.g. undergraduate researchers)

Job Requirements:

• PhD degree in algal genetics/synthetic biology or related field
• Familiarity with microalgal culture
• Good written and oral communication skills
• Proficiency molecular biology and biochemistry
• Entry level candidates are welcome to apply

The College of Science 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.

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

Responsibilities:

Project-based Architectural Design Consultancy Services:

• Conceptualize concept and schematic designs.
• Carry out feasibility studies and presents design proposals.
• Design development that would include detailed drawings and specifications for contractors to follow for construction purposes.
• Assist in tendering and bidding processes and inspect the on-going construction to ensure that the project is built according to design plans.
• Liaise with and discuss project-relevant issues with clients.
• Negotiate with contractors on design requirements and building progress.
• Oversee progress of on-site work; ensure project is built according to design plans and resolve any issues that may arise.
• Work with engineers and surveyors to make sure that the building plans meet the necessary building standards.
• Project and/or design management of more than 3 - 4 projects at any given time.

Research-related Work:

• Assist in carrying out practice-based research into specific issues and challenges surrounding the built environment, with the aim of gaining greater insight into these issues and developing design strategies and solutions in response to them.
• Work with Director (Design and Research) to enhance public/industry awareness of the firm’s design philosophies, capabilities, and accomplishments (directly and indirectly) through design, writing, teaching, and research work.

Requirements:

• Minimum Bachelor Degree in Architecture or equivalent
• At least 5 years of working experience in the related field
• Able to work well with a team and take the lead at the working level
• Able to guide younger staff in design matters
• Possess good design and graphic communication skills, especially in the concept design, schematic design and design development stages.
• Positive attitude
• Some experience with tender documentation and construction stages
• Software skills: Rhino, Grasshopper, Adobe Photoshop, Illustrator and Indesign. Revit and computational skills will be a plus.
• Willing to take on new challenges

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow

Join the laboratory of Lei Lu at the School of Biological Sciences, where we are seeking a motivated and talented Research Fellow to contribute to an exciting project focused on the endocytic trafficking of lipid nanoparticles.

Lipid nanoparticles (LNPs) have gained global attention, especially with their approval for mRNA vaccine delivery during the COVID-19 pandemic, saving millions of lives worldwide. Beyond vaccines, LNPs hold immense potential as delivery vehicles for various therapeutic nucleic acids, offering promising treatment strategies for many diseases. Despite their enormous success, the intracellular transport of LNPs — how they move within mammalian cells and deliver their nucleic acid payloads — remains poorly understood.

As part of our team, the candidate will use advanced light microscopy to explore and elucidate the molecular and cellular mechanisms governing the endocytic trafficking and intracellular delivery of LNPs. This project aims to deepen our understanding of these mechanisms, contributing to the optimization of LNP-based therapies.

Job Description

• Conduct cutting-edge research using high-resolution light microscopy to study LNP trafficking.
• Investigate endocytic pathways and payload delivery molecular mechanisms.
• Collaborate with a multidisciplinary team to advance the field of nanoparticle-based therapeutics.
• Perform any other duties as assigned.

Job Requirements

• PhD in cell biology or related fields, with a focus on membrane trafficking.
• Experience in light microscopy.
• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• Strong publication record.
• Entry-level candidates are welcome to apply.

The College of Science 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 are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

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

We are looking for a Senior Research Fellow in Microelectronics Failure Analysis and Reliability to be the lead researcher in a new industry-sponsored project. The role will focus on carrying out failure analysis of various semiconductor devices, from silicon to III-V compound semiconductors, to understand the root cause of failure, as well as conduct reliability tests and analysis.

Key Responsibilities:

• Lead an industry-funded project focusing on device reliability testing and failure analysis.
• Analyze and manage large and diverse datasets from reliability tests, presenting distilled insights and constructive recommendations.
• Develop and implement advanced characterization and failure analysis methodologies to improve device performance and reliability of Si and III-V semiconductor devices.
• Collaborate with academic/research institutions and industry partners to enhance understanding of failure mechanisms in Si and III-V semiconductor devices.
• Prepare reports and presentations for project updates
• Publish research findings in peer-reviewed journals and present at international conferences.
• Provide mentorship to undergraduate/postgraduate students in research activities.
• Assist in research proposal writing
• Support in lab management matters, including lab safety, equipment maintenance, procurement of materials

Job Requirements:

• A PhD in Materials Science, Electrical Engineering, or a related field.
• At least 8 years of research experience after PhD
• At least 4 years of experience with Si or III-V semiconductor device failure analysis and reliability testing.
• Strong knowledge of Si/III-V semiconductor device physics, particularly fabrication processes, is a plus.
• Hands-on experience with advanced failure analysis techniques, such as wet/plasma etching and analytical tools (e.g., SEM, FIB-SEM, TEM, PEM, and AFM).
• Handson experience with electrical device characterization and/or accelerated stressing
• Ability to prepare detailed technical reports and presentations, confidently defending data analysis and conclusions during technical discussions.
• Ability to build rapport and influence stakeholders at all levels
• Ability to work collaboratively in a fast-paced environment.
• Self-driven and capable of meeting deadlines with high-quality outcomes.

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.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.

Key Responsibilities:

• To perform the pioneer research in scent digitalization and computation.
• To further develop machine learning tasks for scent signal classification/fusion.
• Set up and analyze experiments 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 a report and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students.

Job Requirements:

• Preferably PhD in Computer Science, Electrical & Electronic Engineering, or equivalent.
• Background knowledge in signal representation/processing, esp for scent signals.
• Prior research experience and track record in signal detection, machine learning and deep learning.
• Prior programming experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, Matlab…)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.
• Excellent teamwork and verbal, written communication skills

We regret 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 are seeking for a Research Associate for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around AI safety, with focus on watermarks for the Large Language Models.

Key Responsibilities:

• To conduct independent research in AI safety, especially watermarks for LLM.
• To produce publications in top conferences and journals.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably Master’s degree in Computer Science or relevant fields.
• Strong background in research on the Large Language Model.
• Experience in watermarks for the Large Language Model is preferred.
• Knowledge of programming skills with deep learning architectures, such as PyTorch.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

The Wee Kim Wee School of Communication and Information (WKWSCI), together with the Earth Observatory of Singapore, is looking for a Research Associate to make an important contribution to the research project: “Climate Transformation Program (CTP): Cross Cutting Theme 1 – Sustainable Societies” funded by the MOE Tier 3C Grant. 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 and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, “Cross-cutting theme 1: Sustainable Societies”, this theme will leverage climate research in communication and virtual reality tools to shape public attitudes and behaviours towards climate change issues. The Research Associate will work directly with the PI of the Sustainable Societies theme, Professor Shirley Ho, based in the Wee Kim Wee School of Communication and Information at NTU.

Key Responsibilities:

• To engage in conducting literature searches and manuscript preparation.
• To engage in VR app development and implementation.
• To engage in experiment conceptualization, design, and implementation.
• To conduct statistical analyses with experimental data.
• To contribute to research publications and presentations.
• To write progress report and final research report.
• To engage in the dissemination of the results of the research with the support of and under the supervision of the Principal Investigator.
• To carry out administrative work associated with the program of research as necessary.

Job Requirements:

• Master’s degree in communication, psychology, sociology, or a social science related discipline.
• Strong foundation in VR app development, experimental research and analytical skills (e.g., SPSS, MPLUS, or R).
• A team player in a project setting, also with ability to work independently in a multi-cultural team environment.
• Must demonstrate initiative and good interpersonal communication skills.
• Prior experience in VR app development and experimental research.
• An internationally recognized research track record as evidenced by journal publications and conference presentations.

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document.

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

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

The School of EEE seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit based on merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. The interested can find the research topic related to this job in PI (Nanyang Assistant Professor Guangwei Hu): https://dr.ntu.edu.sg/cris/rp/rp02126.

We are looking for a Research Fellow to support research works in CMNE. The role will focus on developing the quantum and nonlinear nanophotonics, focusing on the nonlinear and quantum optical properties of emerging low-dimensional materials.

Key Responsibilities:

The Research Fellow will work on a project to conduct the research on development of low-dimensional nanophotonic structures for quantum and nonlinear optical applications. The roles of this position include:

• Conduct research and develop theoretical models for low-dimensional material nanophotonics.
• Apply numerical models, design photonic nanostructures and measurement of the research above.
• Collaborate with interdisciplinary teams and contribute to joint research projects.
• Perform the quantum and nonlinear experiments.

Job Requirements:

• PhD in Optical/Device Physics, Electrical Engineering, Materials Science, or a related field with low-dimensional nanophotonics. Excellent publication records will be preferred.
• Experience in matlab, MEEP, RCWA and other softwares and algorithms.
• Excellent publication track records.
• Good understanding of nonlinear and quantum optics.
• Strong knowledge of optical physics, while experimental experience would be preferred.
• Excellent analytical and problem-solving skills.
• Ability to work independently, manage projects, and meet deadlines.
• Effective communication and presentation skills.
• Attention to detail and commitment to scientific rigor.
• Excellent experience of quantum and nonlinear photonic experiments

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

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.

Key Responsibilities:

• To conduct independent research in deep learning.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

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Job Requirements:

• A PhD in Computer Science or relevant fields.
• Strong background in deep learning and multi-modal learning.
• Strong publication record in top conferences/journals, such as CVPR, NeurIPS, AAAI, IJCAI, T-PAMI, IJCV, and etc.
• Experience in generative AI is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

We are seeking a talented and motivated Research Engineer to join our team focused on developing cutting-edge AI models for vision inspection. This role involves leveraging state-of-the-art computer vision and machine learning techniques to solve complex manufacturing inspection challenges.

Responsibilities:

-Design, develop, and optimize AI models for image-based vision inspection tasks.

-Implement and fine-tune state-of-the-art models such as YOLO, Yolact, DeepLabV3, Vision Transformers, and others.

-Develop and maintain Python-based pipelines for data preprocessing, model training, and evaluation.

-Research and implement innovative algorithms to improve model accuracy and efficiency.

-Collaborate with cross-functional teams to understand project requirements and deliver high-quality integrated solutions.

-Document research findings, experimental results, and software implementations.

-Stay updated with the latest advancements in AI and computer vision technologies.

Job Requirements:

-Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

-At least 3 years of experience

-Strong proficiency in Python programming.

-Expertise in deep learning frameworks like PyTorch (mandatory) and TensorFlow (preferred).

-Hands-on experience with computer vision models, including YOLO, Yolact, DeepLabV3, Vision Transformers, etc.

-Familiarity with image processing techniques and libraries such as OpenCV.

-Strong problem-solving and analytical skills.

-Strong communication and excellent writing skills

-Have a strong work ethic, and able to work on own initiative.

-Team player, communicate efficiently, be flexible and details oriented.

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.

Globally ranked among top research and technology organizations in the environment and water domain, the NTU’s Nanyang Environment and Water Research Institute (NEWRI) ecosystem interacts across a multi- and inter- disciplinary platform of” Research – engineering – Development ‘(RED) activities in its approach to developing innovative solutions.

We are looking for a Research Associate/ Research Fellow to lead a project titled Closed-Loop Advanced Manufacturing Process (c-LAMP) under NTU. The role will focus on developing a modularized and energy-efficient treatment process, ie. electrochemical-biological hybrid process to treat secondary waste, ie. wastewater from swarf cleaning, with the purpose of effective water reuse, forming a circular pre-treatment loop for the manufacturing process.

Key Responsibilities:

• Profiling and understanding the type of incoming wastewater
• Tailoring the treatment system to water reuse requirements
• Modularizing treatment units for applications of different wastewater from different industries

Job Requirements:

• M.Sc. or Ph.D. degree in Environmental Engineering, Chemical Engineering or related field
• At least 1 year of relevant experiences in similar role / technical hands-on experience in Bioprocess and/or Electrochemical process
• Familiarity with reactor operation and process design
• Good written and oral communication skills
• Competent in building rapport and influence stakeholders at all levels, ability to work collaboratively in a fast-paced environment
• Possesses international experience, with a strong network of contacts in the region

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

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

The School of MSE is globally recognized as a leader in materials science and engineering. The school consistently achieves top rankings, being ranked 2nd in the 2024 U.S. News Best Global Universities for Materials Science. Additionally, MSE is ranked 5th globally by subject in materials science in the 2024 Quacquarelli Symonds (QS) World University Rankings, reaffirming its excellence in research, innovation, and education in materials science. MSE provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research. For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Fellow (RF) to join a newly funded project led by A/P Yang Zhao(RG2/24, Ministry of Education). This position aims to fulfill the project’s objectives of advancing three-dimensional (3D) six-wave-mixing (6WM) spectroscopy for real-time molecular materials characterization. The appointed RF will play a pivotal role in developing computational simulations, theoretical methods, and practical protocols to extract photophysical and photochemical information from 6WM spectroscopy signals. This work will significantly contribute to MSE’s and NTU’s advancement in the field of energy materials and advanced sensor development.

Key Responsibilities:

• Conduct thorough literature review and generate periodic updates;
• Lead the design and implementation of computational models for 6WM spectroscopy signals;
• Set up standardized high-throughput data collection and analysis workflows;
• Develop and optimize algorithms for complex quantum systems dynamics;
• Supervise undergraduate and graduate student projects;
• Coordinate collaborative work within external collaborators;
• Generate periodic progress reports as required by funding agency.

Job Requirements:

• PhD in Materials Science/Physics/Computational science or related fields;
• A strong track record of research ability and demonstrated contribution to research (e.g., more than 20 peer-reviewed publications, state-level grant applications, patents) required;
• At least 8 years relevant postdoctoral training or research work experience required;
• Proficiency in scientific programming (C++, Fortran, Matlab, Python);
• Familiarity with the field of open quantum system systems and non-equilibrium dynamics preferred;
• Good written and oral communication skills.

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

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Join the laboratory of Yijie Shen at SPMS as we are seeking a Research Assistant to support and advance research projects in the field of optical science. This includes conducting experiments, analyzing data, and developing innovative solutions related to optical systems, components, or phenomena. This work contributes to the development of cutting-edge technologies in areas like photonics, imaging, and optical communication.

Key Responsibilities:

• Research Support: Assist in designing and executing experiments, including data collection and analysis.
• Administrative Duties: Prepare reports, presentations, and documentation for research projects.
• Technical Tasks: Operate and maintain laboratory equipment, ensuring proper calibration and functionality.
• Collaboration: Coordinate with team members and collaborators.
• Compliance and Ethics: Ensure adherence to research protocols, ethical guidelines, and safety standards

Job Requirements:

• Bachelor’s (for PO and Research Assistant equivalent) degree in Optics discipline or related field
• At least 1 years of relevant experience in similar role / technical hands-on experience in the optical field
• Good written and oral communication skills
• Proficiency in hard skills / job-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill
• Interpersonal skills (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

The College of Science 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.

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 28-month contract at the Office of Teacher Education & Undergraduate Programmes.

Project Title: Examining the adaptability of Singapore Physical Education teachers: A case for the future of teaching

Project Introduction: Adaptability is the capacity to effectively react and respond in constructive ways to situations that can be characterized by change, novelty and uncertainty. In this programme of work, the tripartite model of adaptability will be used to examine Singapore Physical Education (PE) Teachers’ level of adaptability. The model involves cognitive, behavioural and emotional adaptability and refers to how an individual’s thinking, behaviour and emotions can be modified. In the context of PE teachers, the subject of PE is underpinned by a high level of variability and dynamism of the teaching environment as well as interaction among students and the PE teacher (e.g., physical classroom, CCA, outdoor education, values-based education). Unlike other subjects, the teaching and learning situation can transit quite quickly and there is greater uncertainty on the emergence of students’ learning behaviours as they interact with the learning task and environment.

In this programme of work, the research team would build on their previous research experiences and track records to i) examine how adaptable Singapore PE teachers are (Phase 1), ii) the factors that could impact the level of adaptability (e.g., perceived autonomy support, socio-demographic variables, resilience, and creativity) (Phase 1) and iii) if PE teachers with higher adaptability levels are more inclined to adopt innovative pedagogical practices (Phase 2).

Requirements:

• Bachelors Degree
• Experience in undertaking research pertaining to examining impact of intervention studies in the Singapore school context
• Competent in data science and statistics
• Competent in using R or Matlab
• Experience in conducting surveys and focus group discussions
• Responsible and hardworking

Responsibilities:

• Manage the research project
• Data collection
• Collecting, collating and analyzing data
• Prepare reports and papers together with the Principal Investigator
• Assist in general administrative support work
• Any other duties as assigned by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Req ID: R00019423 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Teacher-Education---Undergraduate-Programmes---NIE-_R00019423)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

RESEARCH AND DEVELOPMENT CHEF Job description

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

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

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

The National Institute of Education invites suitable applications for the position of Research Associate on a 12-month contract at the Psychology and Child & Human Development Department.

Project Title: THE IMPACT OF THE MOE-OBS CHALLENGE PROGRAMME ON STUDENTS

Project Introduction: The project is to assess the impact of the MOE-OBS challenge programme on students.

Requirements:

• Master degree from a reputable university in the areas of Education.
• At least 1-2 years of relevant research experience, including qualitative and quantitative research, and scholarly writing
• Exhibits good supervisory, leadership, and communication skills

Responsibilities:

• Engage in both quantitative and qualitative data collection
• Engage in extensive scholarly writing and data analyses
• Present and share research findings through interactions with students, researchers, and higher education authorities.
• Engage in research tasks as assigned by the PI

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Req ID: R00019444 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Psychology-and-Child---Human-Development-Department--NIE-_R00019444)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.