Research Assistant/Project Officer position is available immediately. The successful applicant will join an expanding team to work on projects in the field of Psychosocial support for familial caregivers. The applicant will be working in the research lab “Action Research for Community Health (ARCH)”, and the primary study involves an intervention study that develops and test the efficacy of a novel culinary programme to support familial caregivers of individuals with cancer. The successful candidate is expected to work closely with professionals in the field of medicine, cancer care, nutrition, as well as with clinical population groups.

Research Assistant/Project Officer is expected to plan, organize and implement research projects, in collaboration with principal investigators. The specific roles include project coordination, liaison with community collaborators, literature review, supporting data collection and research implementation, data transcription and data analysis, compile findings and drafting of research reports, as well as co-author academic journal publications with project principal investigators.

Key Responsibilities:

Coordination and Implementation

• Coordinate programme logistics, including scheduling coaching sessions, ensuring smooth and efficient operations, acting as key liaison with institutional and external collaborators
• Facilitate the recruitment and enrollment of eligible caregivers into the programme
• Provide ongoing support and information to program participants
• Coordinate equipment and access to facilities among researchers within the lab

Documentation and Reporting

• Maintain accurate and detailed records of programme activities and progress towards program goals
• Prepare regular progress reports and presentations for stakeholders and funding partners
• Ad-hoc research project administrative support

Monitoring and Evaluation

• Implement data collection to assess the impact and effectiveness of the program on participants' psychosocial well-being and overall quality of life
• Organize, manage and analyze collected data
• Engage in data transcription
• Contribute to the writing of research reports, inclusive of literature review and journal publications

Job Requirements:

• Possesses a Bachelor’s Degree in psychology, counselling, social work, health science or related fields from a reputable university
• Must be fluent in Spoken and Written English - essential for data analysis and communication with stakeholders
• Demonstrate excellent inter-personal communication skills
• Keen interest in quantitative, qualitative, and mixed methods research
• Competent in MS Office, NVivo, SPSS and Qualtrics
• A team player with the ability to work independently in a multi-cultural environment
• One-Year contact with the possibility of additional 6 months renewal

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

The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Research Fellow.

Key Responsibilities:

• Operation, maintenance and diagnostic of the thermal evaporator and other simple laboratory instruments used.
• Supervise undergraduate students

Job Requirements:

• Possess PhD in Environmental Science/Engineering or related disciplines.
• Experience in advanced laboratory experience in thermal evaporation
• Experience in advanced laboratory methods for fabrication and analysis of solar cells.

We regret that only shortlisted candidates will be notified.

Physicists have been at the forefront of some of the most important inventions of all time. These inventions have formed the basis of transition toward an improvement in quality of life. Atomionics is at that juncture and ready to revolutionize the domains of resource exploration and navigation. Our quantum sensors are based on cold atom interferometry and can measure gravity, acceleration, and rotation with high accuracy, precision, and sensitivity. The challenge? Making it work in a dynamic environment to enable real world applications that would extend the benefits of the energy industry to the next billion people.

We are looking for a cold atom physicist who:

1. Wants to be involved in research while gracefully maneuvering through the technical constraints of field deployment
2. Is excited by the prospect of working within an interdisciplinary team comprised of electronics engineers, mechanical engineers, and software engineers
3. Would like to own their work via compelling equity offerings

We are a focused group in a high-energy environment. Our team consists of people at the top of their domains with a diverse set of experience, such as in advanced rocket engines, the first digital cameras, and high resolution microscopes, apart from cold atom physics. In addition, we are backed by some fantastic investors from the private and public sectors, such as Wavemaker, SGInnovate, Cap Vista, 500 Startups, and other prominent angels.

Responsibilities

• Design and development of atom interferometry based sensors
• Work in collaboration with electronics engineers and mechanical engineers to develop the system
• Research on the improvement and miniaturization of atom interferometry based sensors
• Write patents

Must have skills

• PhD in Physics, with research experience in cold atom physics
• Proficient in experimental work
• Ability to work independently and in a team
• Fluency in spoken and written English

Nice to have skills

• Prior experience in atom interferometry
• Built atom interferometry based gravimeter, accelerometer, or gyroscope
• Built near-IR lasers, laser locking system, and RF electronics
• Experience in theoretical simulation of atomic systems
• Developed control systems using FPGA

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.

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.

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

Prof Addison Wang Lin at the School of Electrical and Electronic Engineering (EEE) at NTU is looking for two Research Fellows. Join an innovative and dynamic research team led by, where you will push the boundaries of bio-inspired artificial intelligence and advanced sensor technologies for embodied AI research. As a postdoctoral researcher, you will have the unique opportunity to work at the intersection of cutting-edge science and real-world application, developing groundbreaking algorithms and systems that mimic natural processes to elevate the capabilities of robotic systems.

In this role, you will engage in transformative projects that utilize multimodal sensor fusion and spatial intelligence, driving advancements with meaningful implications for smart healthcare, personalized education, and interactive human-AI agent interaction experiences. You will collaborate with a talented, interdisciplinary team that values creativity and innovation, allowing you to share your insights and contribute to high-impact publications that enhance the global scientific community. Your role will not only advance your own research career but also empower you to mentor and inspire the next generation of researchers.

Key Responsibilities:

• Research Development: Design and conduct experiments that explore novel approaches in bio-inspired AI and sensor technologies, integrating insights from biology and neuromorphic engineering for embodied intelligent systems.
• Algorithm Design: Develop and optimize algorithms for sensor fusion, perception, and spatial intelligence, tailoring solutions for specific applications in robotics and healthcare.
• Prototype Implementation: Lead the implementation of prototypes using advanced sensor technologies, ensuring effective integration with robotic systems for real-world applications.
• Data Analysis: Analyze experimental data and develop models to validate theoretical approaches, utilizing machine learning techniques to derive meaningful conclusions.
• Collaborative Projects: Engage in collaborative research with interdisciplinary teams, contributing expertise in bio-inspired systems and robotics to advance cutting-edge solutions.
• Publications and Presentations: Produce high-quality publications in peer-reviewed journals and present research findings at international conferences to enhance the visibility of the research team and institution.
• Mentoring: Provide guidance and mentorship to graduate students and interns, fostering a collaborative and innovative research environment.
• Grant Writing and Funding Proposals: Assist in the preparation of grant proposals to secure funding for ongoing and future research projects.

Job Requirements:

• PhD in AI, electrical engineering, computer science, automation and robotics engineering, mathematics/physics, computational neuroscience/biology or related field.
• Strong research experience or research publications records in AI-related (or interdisciplinary field) top-tier conference and journals (such as CVPR, TPAMI, ICRA, RAL, TRO, Nature Machine Intelligence).
• Proficiency in programming languages commonly used in AI and robotics (e.g., Python, C++, MATLAB).
• Excellent project management and leading skills. Experiences of writing research/fund proposals are required. Budget management experiences would be a plus.
• Good communication, mutual respect/care, and team-leading spirit are required.
• Respect of multi-cultural research 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 plan and implement programmes and initiatives to achieve the strategic intent of DTC. The role will focus on building a TrustTech Ecosystem and driving TrustTech adoption through industry partnerships.

Key Responsibilities:

• Assist with key industry collaborations to drive innovation and foster growth in TrustTech, and build long-term relationships that benefit the centre and ecosystem.
• Assist with cultivation of global partnerships and engagement in international initiatives to expand the centre's reach and create cross-border opportunities for collaboration.
• Support efforts to grow and nurture a vibrant ecosystem of academic/research institutes, industry, government, and other stakeholders, fostering innovation and cooperation within the network.
• Assist with planning and execution of impactful events that facilitate networking, knowledge sharing, and enhance the centre’s profile and influence within the ecosystem.
• Support in preparation of reports for funding agency to demonstrate impact and accountability, ensuring alignment with objectives.

Job Requirements:

• Bachelor’s degree and above in Business, Marketing, Communications, Computer Science or related field
• At least 2-4 years of relevant experiences in similar role
• Proficiency in Microsoft Office
• Strong written and oral communication skills
• Competent in multi-stakeholder management
• Ability to work independently, meticulous and adaptable in a fast-paced environment
• Good organisational and time management skills
• Experience in Digital Trust and/or AI Safety would be advantageous
• Entry level candidates are welcome to apply

We regret to inform 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:

• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with high fidelity ATM simulation environment (e.g. BlueSky) to build optimization models for demand and capacity balancing, and conflict detection and resolution.
• Develop AI methods for en-route airspace operation under the next generation ATM framework.
• Collaborate with a team of researchers and engineers to integrate AI 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, Transportation or Aerospace.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good English writing and communication skills for research work.
• Independent as well as a team player.

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

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof Zhao Yanli’s group.

The Research Fellow will play a key role in conducting the proposed research and achieving the planned KPIs and deliverables. The Research Fellow will also contribute to the university's reputation as a world-class, research-intensive institution by producing high-quality research and publications.

Key Responsibilities:

• Design and synthesize novel porous films for catalytic CO2 conversion, including the synthesis and characterization, mechanistic studies, and catalytic research
• Conduct experiments in synthetic chemistry, analytical characterization, and catalysis
• Analyze experimental data and prepare scientific papers
• Present research results precisely and professionally

Job Requirements:

• PhD degree in chemistry or a related filed (or equivalent).
• Ability to work independently and as part of a team with strong initiatives.
• Good communication and interpersonal skills.
• Hands-on experience with synthesis and characterization experiments and catalytic studies.
• Proven research experience in a related field

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 Fellow to lead innovative research in advanced threat intelligence collection platforms. The role focuses on analyzing malware, malicious components, and threat intelligence data to address emerging challenges in software and supply chain security, driving impactful research outcomes and advancing cybersecurity knowledge.

Key Responsibilities:

• Conducting research on conceptualizing and enhancing advanced threat intelligence collection platforms using cutting-edge technologies.
• Identifying and integrating diverse and reliable threat intelligence sources to build a comprehensive data repository.
• Designing and implementing multi-agent frameworks to optimize the scalability and efficiency of intelligence collection processes.
• Writing high-quality research papers based on research findings.

Job Requirements:

• PhD degree in Computer Science, Cybersecurity, or a related discipline.
• Strong publication record in top-tier conferences or journals, particularly in software and supply chain security.
• Minimum 3 years of research experience in threat intelligence, malware analysis, and intelligence system design, with expertise in large-scale data collection and analysis platforms.
• Proficiency in Python, Go, and Java, with hands-on experience in cybersecurity tools, cloud computing, containerization (e.g., Docker), and scalable architecture design.
• Solid research experience in multi-agent system design and malware analysis frameworks.
• Good written and oral communication skills.
• Entry level candidates are welcome to apply.

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

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in transition metal catalysis at the Zhong Group. CCEB is a newly established interdisciplinary joint school under College of Engineering and College of Science at NTU Singapore. The Zhong group works at the interface of organometallic and organic chemistry to develop new generations of transition metal catalysts and reagents for novel organic transformations.

The Research Fellow will take on a significant role in conduct cutting-edge research in transition metal catalysis and organic methodology.

Key Responsibilities:

• Conduct routine lab research and data analysis in organic chemistry and organometallic chemistry.
• Assist in instrument installation and maintenance, and acquisition of lab consumables.
• Mentor junior researchers and teach organic chemistry lab skills, oversee lab safety.
• Present research progress in group meetings and private meetings.
• Organize results for publications.

Job Requirements:

• PhD in organic chemistry
• At least 5 years of experience in synthetic organic chemistry and/or asymmetric catalysis as PhD/post-doc in advanced institutions.
• Solid analytical skills including NMR, mass spec, chiral GC/HPLC, polarimeter, IR, UV/VIS, etc.
• Experience in handling air-sensitive compounds with Schlenk techniques or glovebox.

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.

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.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. Computational resources are available through a dedicated cluster and collaboration with the High-Performance Computing Centre of NTU. In addition, EOS hosts state-of-the-art analytical facilities for petrological and geochemical analysis, and a Community Engagement office that co-creates learning opportunities for a range of audiences to promote a safer and more sustainable future.

EOS is looking for ambitious, highly motivated Research Fellow (post-doctoral scholar). The successful candidate will work under the supervision of Prof Adam Switzer to investigate various approaches to future tropical cyclone prediction in the Asia Pacific and apply novel statistical techniques to enable policymakers and planners to understand plausible worst-case scenarios with the rising sea-level and changing climate. We're looking for a collaborative individual with a passion for learning, who would enjoy working with people from a wide range of disciplines, with a goal to connecting the dots between the components.

Key Responsibilities:

• Conduct computer simulations by modelling components of sea-level rise, cyclogenesis and their inter-dependencies.
• Interface with climate modeling experts and insurance industry partners on the relevant data for modeling and analysis of future cyclone risk.
• Manage, analyse, and interpret complex datasets, employing the latest methodologies and tools for accurate and efficient data processing.
• Engage in close collaboration with experts across diverse disciplines, integrating various datasets to enhance the understanding on scientific prediction of sea-level rise.
• Develop key case studies that can inform and support policy decisions, emphasizing practical applications of research findings in risk management and mitigation strategies.
• Prepare research outputs in formats accessible to policymakers, risk stakeholders, and the broader community, ensuring clear and effective communication of complex scientific information.
• Present, publish, and communicate research results in scientific meetings, scholarly journals, and other relevant platforms, contributing to the broader scientific discourse.
• Provide guidance and support to junior team members, students, and research assistants, fostering an environment of learning and professional growth.

Job Requirements:

• Ph.D. in Coastal Engineering, Climate Science, or another related field.
• Post-doctoral experience is an advantage.
• Strong fundamentals of climate variability and change, geoscience and atmospheric science, physical oceanography, and meteorological observations.
• Expertise and interests in climate modelling, data analysis, and statistical methods.
• Track record of publishing research relevant to the position in international recognised journals.
• Evidence of excellent communication skills.
• Evidence of 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 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.

Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

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.

Key Responsibilities

• Study correlated twisted materials and other topological quantum materials with strong correlations
• Predict nonlinear responses of quantum materials
• Provide theoretical support for our experimental collaborators
• Work collaboratively and train junior lab members

Job Requirements

• PhD in Physics
• Self-motivated with solid background in group theory
• Related research experience in topological quantum materials
• Able to work as a team and independently in an interdisciplinary team
• Published at least 1-2 publications as a first author in top international peer-reviewed journals

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information).

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

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a Research Fellow with strong expertise and publication record in algebra, combinatorics, finite geometry, or a closely related area of mathematics.

Key Responsibilities:

• Propose methods to tackle open problems concerning optimal configurations in finite geometry
• In cooperation with PI and Co-PI, carry out numerical studies to identify promising directions for constructions and nonexistence results for equiangular tight frames
• Produce mathematical proofs for conjectures that arise from numerical studies

Requirements:

• PhD in mathematics
• Deep knowledge in algebra, combinatorics, finite geometry, or a closely related area of mathematics
• Good track record of publications in algebra, combinatorics, finite geometry, or a closely related area of mathematics

We regret to inform 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

Temasek Laboratories@NTU is looking for a candidate to join them as a Research Scientist.

Key Responsibilities:

• The candidate will be expected to conduct research in digital signal processing and array signal processing, with a focus on signal source separation in single and multi-channels, the use of Reconfigurable Intelligent Surface (RIS) for source localization and separation, as well as RF radar processing.
• The candidate will be responsible for both the theoretical development of methods and experiment design to validate the developed methods.
• Other research responsibilities include co-supervising junior researchers, interns and students; conducting detailed literature review and assessment of the state-of-the-art technologies. planning and executing detailed R&D activities to meet project objectives and deadlines; generating novel scientific or technological concepts for application of breakthrough nature and contributing to research proposals.
• Administrative responsibilities may include safety management, asset management and other tasks related to being a member of Temasek Labs@NTU.

Job Requirements:

• PhD in Electrical & Electronics Engineering or related fields. Entry level candidates will be considered.
• Strong background and knowledge in modern RF communications/ digital signal processing /array signal processing.
• Proficiency in algorithm development and programming skills, particularly with MATLAB.
• Familiarity with Ettus USRP devices, GNU Radio/Labview programming is an advantage.
• A good publication record.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.

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.

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.

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.

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.

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

We are looking for a Research Fellow to take the role as tech lead. The role will focus on investigating proton exchange membrane eater electrolyze and the related catalysts.

Key Responsibilities:

• Develop innovative research methodologies, frameworks, or prototypes relevant to the project goals and objectives.
• Collaborate with internal and external stakeholders on project design, data collection, analysis, and dissemination of findings to ensure impactful outcomes.
• Mentoring graduate and undergraduate students, providing guidance on research techniques, career development, and publication strategies.
• Assist in grant writing by preparing proposals, compiling data, and drafting budgets to secure research funding.
• Maintenance of lab or equipment or supplies including procurement, inventory management, and effective communication with suppliers to ensure operational efficiency.
• Assist or Produce high-quality reports and documents that consolidate research findings, ensuring clarity, precision, and alignment with publication standards.

Job Requirements:

• PhD in Materials, Chemistry, Physics, Chemical Engineering or any relevant science and engineering disciplines
• At least 4 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Experience in materials synthesis/characterizations, gas-phase catalysis and/or theoretical calculations
• A strong track record of research ability and demonstrated contribution to research
• Excellent verbal and written communication skills
• Self-motivated independent scientist and a team player

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.

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.