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:

• Conduct programming and software development for big data management.
• Design and implement machine learning models for optimizing data management.
• Conduct experiments and evaluations of the designed algorithms and systems.
• Help with research presentation works such as high-quality paper writing.

Job Requirements:

• Preferably PhD in computer engineering, Computer Science, Electronics Engineering or equivalent.
• Be able to implement algorithms efficiently.
• Motivated in doing research in data management.
• Strong skills in C/C++ programming.
• Have experience in machine learning.
• Have experience in parallel processing.
• Have strong communication and collaboration skills to work within a team.
• Independent, highly analytical, proactive and a team player

We regret that only shortlisted candidates will be notified.

Join Our Team at the Asian School of the Environment (ASE), Nanyang Technological University, Singapore

The Asian School of the Environment (ASE) at Nanyang Technological University is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and biodiversity, and interactions between environment and society. ASE is currently looking for a candidate to join them as a Research Assistant.

Key Responsibilities:

• Seeking research assistant to investigate the impacts of various area-based conservation measures (e.g. REDD+ projects and protected areas) on tropical forests around the world
• Contribute to a better understanding of market- and non-market based conservation measures through data collection, analysis, and dissemination of findings
• Role will involve acquisition and processing of spatial data, statistical analyses, report writing and manuscript preparation and provision of administrative support on research-related matters
• Support the development of policy-relevant and multidisciplinary conservation research

Job Requirements:

• Bachelor’s degree in natural science, climate science, geography, data science, engineering, or a related field is mandatory.
• Proficient with the collecting, processing and analysis of geospatial data.
• Prior experience with causal inference approach is preferred
• Competent in statistical analyses and data visualisation tools.
• Skills with coding/scripting using R and/or Python programming languages.
• Strong organisational and problem-solving skills, with meticulous attention to detail.
• Highly self-motivated and independent with the ability to collaborate effectively as part of a multidisciplinary team.

ASE 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. 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.

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

Nanyang Business School is seeking a full-time Research Associate to work with Professor Sharon Ng in the Division of Marketing. The candidate is expected to assist Prof Ng with on-going research projects, and to work on projects of their own interest. In particular, we seek candidates with interest in understanding how people respond to new technology (e.g., robotics, AR, AI). We are also interested in candidates who may want to explore the intersection of culture and technology. One core aspect of this role will be to help the faculty to design and conduct experiments. The candidate will be included as an author/co-author on publications from the projects.

Key Responsibilities:

• Project management
• Literature review
• Ideation
• Conducting of experiment
• Drafting the paper

Job Requirements:

• Master degree in Psychology, Sociology, Marketing, or related social science discipline. Prior work (including but not limited to dissertation) must involve statistical analyses of survey and experimental data.
• Excellent academic record and work ethic required.
• Excellent written skill is required. The candidate should be able to write a research paper well.
• Enthusiasm for research required.
• Working knowledge of SPSS is necessary. Knowledge of other statistical tool is a plus.
• Prior publication in marketing peer review journals is a plus

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

The Delta-NTU Corporate Laboratory for Cyber-Physical Systems invites applications for the position of Research Fellow.

Key Responsibilities:

• Achieve efficient search-based motion planning in dense traffic
• Achieve efficient optimization of trajectory with safety guarantee
• Assist in the development of human traffic prediction based on sensory observations
• Test and implement new planning algorithms for robot navigation in dense traffic

Job Requirements:

• PhD in Computer Science
• Research background on motion planning and navigation
• Familiar with popular path planning techniques such as RRT, A* and kino-A*
• Familiar with robot development tools such as ROS
• Fluent English speaking and writing skill - essential for traffic predictions in research work

We regret that only shortlisted candidates will be notified.

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

Key Responsibilities:

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

Job Requirements:

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

Additional Criteria:

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

We regret that only shortlisted candidates will be notified.

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

Key Responsibilities:

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

Job Requirements:

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

Additional Criteria:

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

We regret that only shortlisted candidates will be notified.

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 lace 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 Associate.

Key Responsibilities:

• Conduct research on differential privacy algorithms with applications in computational processes.
• Develop innovative ideas to enhance existing algorithms and frameworks.
• Collaborate on applying privacy-preserving algorithms to machine learning models.
• Analyse and interpret findings, ensuring scientific rigour and practical relevance.
• Prepare and submit manuscripts to leading conferences and journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR.

Job Requirements:

• Preferably, a Master's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field from a top-tier university, with an outstanding academic record (First-Class Degree or ranking top in the class).
• Familiarity with differential privacy is required, along with a strong foundation in mathematical training and proficient algorithm implementation programming skills.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.

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 lace 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 Assistant.

Key Responsibilities:

• Conduct research on differential privacy algorithms with applications in computational processes.
• Develop innovative ideas to enhance existing algorithms and frameworks.
• Collaborate on applying privacy-preserving algorithms to machine learning models.
• Analyse and interpret findings, ensuring scientific rigour and practical relevance.
• Prepare and submit manuscripts to leading conferences and journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR.

Job Requirements:

• Preferably, a Bachelor's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field from a top-tier university, with an outstanding academic record (First-Class Degree or ranking top in the class).
• Familiarity with differential privacy is required, along with a strong foundation in mathematical training and proficient algorithm implementation programming skills.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

The English Progamme at Nanyang Technological University seeks to hire a Research Associate/Research Fellow to contribute to a new research project on comparative theopoetics and “thing theory” in twentieth-century poetry (“Myriad Things in Theopoetics”).

Research expertise in literature and religion in at least one religious tradition is required (including, but not limited to, Christianity, Daoism, Islam, Hinduism), alongside an openness to comparative religious perspectives. The successful candidate will contribute to the development of an interdisciplinary research community at NTU through the organization of seminars and poetry readings relevant to the project, in addition to being engaged in their independent research.

Key Responsibilities:

• Conduct independent research on twentieth-century poetry (including modernist poetry) and theopoetics (with a preferable focus on T.S. Eliot, H.D., Mina Loy, and/or Louis Aragon)
• Furnish relevant reports and/or literary reviews at regular intervals
• Assist in the organization of relevant readings and seminars on poetry and (comparative) religion
• Assist in editorial work and the publication of relevant research
• Assist in any/all further administrative tasks relevant to this research project (including budget management)

Job Requirements:

• Minimally, Masters in English Studies/ Religion (with a focus on literature)
• Applicants with PhD preferred
• Other PhD/Master degrees relevant to the research project may also be considered

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 advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent systems, addressing security challenges, and exploring information propagation theories to enhance the robustness and efficiency of these systems in real-world applications.

Key Responsibilities:

• Designing and developing multi-agent systems for large language models (LLMs).
• Investigating the security challenges and information propagation theories in multi-agent system.
• Writing high-quality research papers based on research findings.
• Developing research proposals related to multi-agent systems and their applications.

Job Requirements:

• PhD degree in Computer Science, Artificial Intelligence, or related fields.
• Strong research background in multi-agent systems and large language models.
• Expertise in security issues and information theory applied to multi-agent systems.
• Proven research experience in publishing high-quality research papers in top-tier conferences and journals.
• Proficiency in advanced programming and computational modeling tools (e.g., Python, distributed systems).
• Good written and oral communication skills.
• Entry level candidates are welcome to apply.

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

A Research Associate position is available to join the Microbiome Medicine Laboratory led by Associate Professor Sunny Wong at the Lee Kong Chian School of Medicine, part of Nanyang Technological University.

Our mission is to promote and develop a sustainable research center dedicated to conducting impactful translational microbiome research. The lab focuses on translational research, transforming fundamental research findings into tangible benefits for patients, Singapore, and the broader public. The successful candidate will join our team to undertake high-quality research in microbiome medicine, aligning with the overarching research strategy of the school.

Key Responsibilities

• Provide bioinformatics analysis for omics projects and software compilations
• Perform molecular biology assays/ experiments
• Contribute to formulating hypothesis, grant writing, publications in peer-reviewed journals
• Participate in seminars and meetings within the team and collaborators
• Manage datasets and databases, ensure data security, privacy, and compliance to university guidelines
• Supervision of junior members of the lab, including graduate and undergraduate students

Competencies and Requirements

• Masters (for Research Associate) in relevant field of Bioinformatics, Computational Biology, Life Sciences, or related fields
• Research experience preferably in the bioinformatic or biomedical field
• Experience using programme languages such as JavaScript, Python, R or similar programming languages
• Hands-on experience with in vitro cell culture assays, molecular and cell biology techniques
• Self-directed learner who picks up relevant skills as required
• A record of productivity with scholarly, peer-reviewed publications
• Able to work independently and as a team player

Professor John Chambers is the Toh Kian Chui Professor of Cardiovascular Epidemiology and Programme Director of the Population and Global Health Research Programme at Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University. He is also the Chief Scientific Officer for the National Precision Medicine Programme. His research programme aims to identify the molecular mechanisms underlying diabetes and premature cardiovascular disease in Asian populations, and to translate these findings into new approaches for improved prevention and early detection of these major chronic diseases.

His research team is hiring a Research Assistant to provide research support to his research programme to develop stratified approaches for health promotion and therapeutic intervention, in particularly for type 2 diabetes (T2D) and cardiovascular disease (CVD).

Key Responsibilities:

• Reading / Quality check of the Carotid artery intima media thickness (CIMT) measurements and / or retinal images based on a given protocol.
• Generate reports on the findings. Able to handle, escalate and report incidental findings to study PIs.
• Assess and give suggestions to improve measurements and / or images quality. Keep inventory of measurements and / or images.
• Maintain accurate and complete documentation / records of all readings performed and strategies undertaken to improve the measurements and / or images.
• Contribute to the production of research reports and/or publications.
• Assist in co-ordination of project-related meetings, taking down summary of meeting, etc.
• Undertake any other duties relevant to the programme of research.

Key Competencies and Requirements:

• Bachelor’s degree in biomedical sciences, biotechnology or related fields
• Skills in using statistical and / or bioinformatics software, Microsoft software will be advantageous.
• Excellent trouble shooting, organization skills, and problem solving skills are also required as well as the ability to work in a team environment.
• Highly motivated, reliable and creative. Possess the ability to work independently and effectively with research details. Willing to learn new things.
• Have strong organizational and effective communication skills.
• Self-motivated and pro-active attitude.

Salary will commensurate with qualifications and experience. Interested applicants should also provider names of 2 referees, together with their application.

Lee Kong Chian School of Medicine (LKCMedicine) is recruiting a Research Fellow specialising in the field of digital health and health education in Professor Jennifer Cleland’s group. LKCMedicine is a joint medical school between Nanyang Technological University (NTU) and Imperial College London.

As a Research Fellow, you will play a pivotal role bringing expertise in digital health and health education, working closely under the guidance of Professor Cleland. The role involves providing crucial support to Professor Cleland, who leads the World Health Organization Collaborating Center (WHOCC) for Digital Health and Health Education. The role will involve conducting evidence synthesis using various methods (quantitative, qualitative, mixed methods) for systematic reviews. The applicant will collaborate with a multidisciplinary team of systematic reviewers to evaluate evidence on digital health and health education topics. The impact of your contribution will directly contribute to the field of digital health and health education at the regional and international platforms.

Key Responsibilities:

• Perform extensive review for various types of deliverables (e.g., policy briefs, white papers, background papers, technical briefs, research protocols, peer-reviewed publications) on a wide range of digital heath and health education policy topics.
• Search and assess potential sources of qualitative and quantitative data, evidence, and information that are suitable for addressing project questions and objectives.
• Analyse and interpret data from diverse sources.
• Simplify and communicate complex information from various inputs into clear and accessible written materials for different audiences.
• Prepare written and/or oral reports and analyses to present findings.
• Produce high-quality written work products and deliverables.
• Organise, implement, and coordinate activities to execute assigned tasks and projects.
• Coordinate project activities and logistics with stakeholders, industry representatives, and policy professionals as needed to support project execution, data collection, and/or dissemination of results.
• Prepare internal briefing and or meeting materials on assigned projects.
• Support Principal Investigator in drafting presentations, speaking points, and visualisation aids.
• Foster strong and supportive working relationships across the project team(s) and Centre.

Key Competencies and Requirements:

• PhD in Health Policy, Public Health, Public Administration, Epidemiology, Nursing, Biostatistics, Social Sciences or a related discipline.
• Proficiency in medical terminology, evidence-based medicine and the utilisation of epidemiologic principles in guideline formulation.
• Background in crafting and executing diverse types of evidence synthesis, encompassing scoping reviews, systematic reviews, integrative reviews, etc.
• Proven track record in peer-reviewed publications, with experience as lead/first author.
• Demonstrated success of project implementation and management.
• Experience in research grant application, grant reporting, and research agreements management.
• Experience in supervising for junior researchers and/or students.
• Strong ability to integrate knowledge from diverse disciplines for comprehensive evidence synthesis.
• Effective verbal and written communication skills, especially in translating complex findings for varied audiences.
• Organised, detail-oriented, meticulous, and proficient in handling data.
• Responsible and takes ownership of assigned tasks.
• Proficient in ensuring adherence to institutional guidelines, policies and regulatory requirements throughout project lifecycle.
• Highly motivated and able to work independently, as well as collaboratively in a diverse and interdisciplinary team.
• Effective computer and technology literacy.
• A willingness to take new projects as they arise.

LKCMedicine seeks a Research Associate (RA) to lead innovative research in medical image processing, 3D organ reconstruction, large-scale model applications, and AI integration with surgical robotics. The RA will design advanced algorithms and develop AI tools tailored for medical applications, bridging computational solutions with practical use. These tools will support clinicians and researchers, enhancing healthcare delivery. The RA will play a vital role in advancing LKCMedicine's mission of leveraging technology to improve patient outcomes and maintain the institution's leadership in medical innovations.

Key Responsibilities:

• Design and implement AI algorithm models to analyze multimodal medical datasets (including MRI, CT, X-ray, OCT, and ultrasound images) for high-precision medical organ segmentation, 3D modeling research, and intelligent diagnosis.
• Explore and develop the application of large-scale pre-trained models in medical scenarios, including but not limited to intelligent consultation systems based on large language models and disease management systems utilizing multi-modal large model technologies.
• Develop, test, and optimize AI software systems for various medical tasks, ensuring their applicability and accuracy in real-world medical environments.
• Utilize data storage technologies to manage multimodal medical data securely and efficiently, ensuring data privacy while providing high storage capacity to accelerate AI model training and inference.
• Enhance the visualization capabilities of AI software system outputs using VR/AR equipment and 3D visualization technologies, aiding clinical observations and assisting interns in training and rapid learning.
• Collaborate with the team to systematically complete research and development tasks, assisting in the development of AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.
• Ensure that all research activities adhere to ethical guidelines and patient data privacy regulations.
• Stay updated on the latest advancements in medical imaging, image processing, robotics, and large language models, ensuring that the research remains at the forefront of the field.
• Collaborate with external researchers and interdisciplinary teams (including medical professionals, AI experts, and research professors) to ensure the necessity, professionalism, rationality, and practicality of the research.
• Attend conferences, workshops, and seminars to represent the research team, acquire new knowledge, and establish collaborations.
• Write research proposals, grant applications, and contribute to the team's strategic research direction.
• Mentor and train junior researchers, students, and interns, ensuring they possess the necessary skills and knowledge to contribute effectively to the research.

Key Competencies and Education Qualifications:

• Master degree in Computer Engineering, Computer Science, or a related field from a prestigious institution.
• Extensive experience in deep learning, AI, computer vision, 3D reconstruction algorithms, and large-scale Pre-trained Models.
• A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and COLMAP.
• Experience in software system engineering, capable of designing a well-structured system architecture to support the implementation of AI medical software.
• Proficiency in SQL, NoSQL, and other data storage technologies, able to apply them flexibly and effectively in the AI medical field, ensuring data storage performance and security.
• Familiarity with annotation and labeling software, particularly LabelImg, and an understanding of the importance of high-quality data annotation in AI model training.
• Experience analyzing and interpreting medical imaging datasets, particularly ophthalmic imaging data, with an understanding of the nuances and peculiarities of such datasets.
• Familiarity with using VR/AR devices and medical visualization tools (such as Unity) for 3D software applications.
• A deep understanding of ethical considerations, patient data privacy regulations, and other compliance-related aspects of medical research.
• Ability to collaborate with interdisciplinary teams, including medical professionals, AI experts, and research professors.
• Proactive and self-driven, capable of developing and managing multiple tasks and projects simultaneously.

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

Key Responsibilities:

• Conduct research and development related to AI and Computer Science
• Collect relevant dataset, and conduct experiments to gain insights on project-related research questions
• Presenting research results to collaborators at scientific meetings or producing reports/ publications

Job Requirements:

• PhD in Computer Science or related disciplines
• Good spoken and written English as required for research work
• Strong research ability
• Strong leadership quality
• Good interpersonal skills
• Ability to work well in teams

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Assist the Business Development Manager and/or Management to support business unit growth and profit objectives, driving demand for select area of business
• Ensure to meet business unit objectives, sales goals and client retention goals; increase brand recognition; and enhances market position
• Manage PSC marketing efforts including marketing materials, website, social media, tradeshows and events
• Develop a thorough knowledge of products and services, business models, operations, competition, and the industry
• Develop and maintain technical sales expertise, stay updated on all trend and development related to product portfolio
• Track sales progress and support forecast efforts
• Identify business opportunities by identifying prospects and evaluating their position in the industry; researching and analysing sales options
• Support Sales staff in key account management through sales cycle in the preparation of quotations, proposals, service contracts, purchase orders, deliveries and manage customer payments
• Establish pricing strategy to improve on product sales and for new business opportunities
• Support local sales process in tender specification, configuration, product presentation and demonstration, trial, user training and support for onsite service coordination
• Manage customer satisfaction
• Follow up on submitted information by telephone or email
• Be committed to independence, neutrality and impartiality in dealing with colleagues, customers and supplier; safeguarding the confidentiality of customers and suppliers, will not disclose confidential information to third parties unless prior agreement has been provided

Requirements:

• Diploma or Degree in Chemical Engineering, Chemistry, Business Management or Marketing or equivalent. Preferably with experience in Services / Product Marketing
• Excellent Microsoft Office skills specifically Word and Excel
• Excellent administration skills
• Business-to-business marketing experience
• Excellent written and spoken English communication skills
• Good eye for detail
• Team player

The Foundations of Thermodynamics Group is a newly formed group in the School of Humanities at the Nanyang Technological University Singapore led by Nanyang Assistant Professor of Philosophy Eugene Y. S. Chua. Its goal is to provide a space for research on all aspects of the conceptual foundations of thermodynamics, with particular focus on understanding the conceptual foundations of thermodynamics beyond the classical domain, e.g., in the quantum and relativistic domains, how thermodynamics relates to other non-fundamental domains such as fluid dynamics and neuroscience, and how it bears on questions in philosophy such as (but not limited to) questions about emergence, reduction, inter-theory relations, the nature of non-fundamental reality, the laws of nature, and the relation between symmetries and reality.

The group is seeking applications for a Research Fellow position on a 2 year contract. Successful candidates will carry out research which contributes to the group’s goals, primarily collaborating with Asst. Prof. Chua on ongoing projects while developing their own independent research projects. The ideal candidate will have a PhD in philosophy or physics, a strong research track record, a concrete proposal for a research project related to the Group’s interests, and excellent communication skills.

Key Responsibilities:

• Collaborating on Asst Prof. Chua’s projects
• Carrying out their own research projects
• Planning and organizing events (workshops, conferences, summer schools) for the Group
• Hosting visiting academics
• Presenting work related to the group’s goals at relevant conferences and workshops

Job Requirements:

• PhD in philosophy or physics
• Demonstrable research track record on topics related to the project, such as but not limited to:
  General philosophy of science
  Philosophy of physics (especially philosophy of thermodynamics and statistical mechanics)
  Demonstrable interest or experience in quantum or relativistic thermodynamics is a plus.
  Cognate topics in philosophy
  Emergence and reduction
  Inter-theory relations
  Effective realism
  Metaphysics of non-fundamental reality
  Natural kinds
  Conceptual change and conceptual engineering
  Symmetries and reality

Application procedure
Please apply by submitting the following documents in Workday:

1) Curriculum Vitae

2) Cover letter

3) Research statement

3) A research proposal outlining in detail at least one research project to be pursued during their time as a research fellow

4) At least 3 letters of recommendation

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.

Position Available: Research Fellow in Structural Biology

We are currently seeking a Research Fellow specializing in structural biology at SBS. The ideal candidate should possess technical expertise and knowledge in mycobacterial protein engineering, recombinant expression, enzymology, and 3D structure determination. Additionally, the candidate will provide leadership, effective communication skills, and mentorship to students within the team.

Key Responsibilities:

• Conduct research in structural biology, with emphasis on mycobacterial protein engineering, recombinant expression, enzymology, and 3D structure determination.
• Provide leadership, communication skills, and mentorship to students working in the team.

Job Requirements:

• PhD in a relevant field.
• Extensive technical experience and knowledge in mycobacterial proteins, cultivation of mycobacteria, and structural biology.

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 Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow.

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Experience in formal writing in English - for research work purposes
• Adaptable and able to multi-task
• Proficient in MS office applications

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

Our department is seeking to hire a responsible and talented Research Fellow (RF) to support research aiming to develop AI embedded methods and tools to facilitate the testing procedure of Continental products. This project needs the employee to apply computer vision AI techniques and learning algorithms to build toolkits that automatically generates complete architecture of test cases and corresponding labels, which will spend plenty of time in traditional manual testing. The RF is also involved in some academic works including, reinforcement learning, computer vision, and software testing.

Key Responsibilities:

• Conducting the research in AI domains (e.g., reinforcement learning and image recognition), software testing, program synthesis
• Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially software testing (automatic test case/plan generation)
• Conducting the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models
• Participating in co-operation with Continental’s development team
• Interacting with Continental business units
• Developing and integrating AI algorithms into the real development progress
• Preparing academic publications such as pattern, research paper
• Contributing to seasonal and annual report writing and presenting

Job Requirements:

• PhD degree in Artificial Intelligence, Computer Science, Software Engineering
• Strong background and research experience in artificial intelligence, software engineering, automatic testing, program synthesis
• Excellent background and experience in programming language, especially python
• Good communication and report-writing skills
• Strong responsibility for research and work

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.

Our research group focuses on research areas relevant to macromolecular and hybrid materials, including topics in the fields of polymer science and engineering, composite science, environmental science, and so on.

Key job purpose is to develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.

Key Responsibilities:

• Develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.
• Conduct research and development activities on polymer pre-treatment and mechanical/chemical upcycling, including formulation of problem statement, design and execution of lab-scale and pilot-scale experiments/operations, sample characterizations, data analysis, and so on.
• Engage industrial and academic collaborators to advance the developed technologies from lab-scale verification to pilot implementation.
• Prepare technical reports, intellectual properties documents, safety documents, and academic publications

Job Requirements:

• PhD degree in Materials Science, Polymer Science, Chemical Engineering, or fields related to polyurethane.
• At least 4 years graduate study or working experience in research and development on topics on polymer science, chemical engineering, and green technologies.
• Proficiency in hands-on and characterization techniques such as TGA, DSC, FTIR, DMA, rheology, NMR, CHNS, XRD, XPS, etc.
• Software skills relevant to process design, mass balance, cost analysis, and life-cycle-analysis are favorable
• Industrial experience in polymer upcycling and productization is favorable
• Good team-player, good communication skill, problem solver, thinker and doer, able to exhibit leadership when needed
• Good wet laboratory practice and familiar with considerations on laboratory safety
• Passionate in research and solving real-time environmental issues related to plastic upcycling
• Entry level candidates are welcome to apply

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

The National Institute of Education invites suitable applications for the position of Research Associate on a 12-month contract, with the possibility of renewal, at the Centre of Research in Pedagogy & Practice, Office of Education Research.

Project Title: Data and Theory Driven Artificial Intelligence to Boost the Science of Learning

Project Introduction: This project will leverage big data generated from online education platform approaches to build Science of Learning for effective education. The project will focus on: (1) current trends and advancements for the role of Artificial Intelligence (AI) in Education, including Generative AI, (2) implementing experimental studies for teaching and learning for mathematics with AI in primary schools, and (3) publishing research findings for different stakeholders including researchers, policymakers and teachers.

Requirements:

• Academic qualification: a Master degree in Data Science, Psychology, Education, Social Sciences or related field. Candidates with a PhD may be considered for a Research Fellow position.
• Work experience: Preferably with experience in social science or education research
• Desirable interests, skills, and attributes:Learning analytics, conversational analysis and/or dialogical learning/pedagogy
  Expertise in educational technology
  Proactive, eager to learn and perform
  Good self-management skills for task structure and management to achieve given goals and objectives
  Experience in Artificial Intelligence and machine learning
  Candidates with knowledge and skills in systematic review are welcome to apply
  

Responsibilities:

• Co-design and develop experimental research that aligns with the project needs and requirements
• Research and devise appropriate learning analytics/conversational analysis tools for data analysis
• Collaborate with internal and external stakeholders to understand analytic needs and devise possible solutions
• Communicate research implications of data to various stakeholders, i.e., researchers, policymakers, educators, etc.

Application

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

Workday Job Requisition ID: R00017839

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research---NIE-_R00017839)

Closing Date

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

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 Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning. Learn more about ROSE Lab at http://rose.ntu.edu

Key Responsibilities:

The Research Associate will be responsible for research on Multimedia (Audio & Video) Forensics, Generative AI, as well as Hallucination Detection and Mitigation. The roles of this position include:

• Working in research teams on Multimedia Forensics projects in Generative AI, Hallucination Detection, and DeepFake Detection.
• Creation of large-scale datasets for research and algorithm evaluation.
• Be part of a research team in the execution of funded research projects.
• Assist in drafting of proposals for research grants in the above areas.

Job Requirements:

• Masters in Computer Science, Data Science, Electrical/Electronic Engineering, or related field.
• Research experience in Computer Vision, Multimedia Forensics, Deep Learning, Trustworthy Machine Learning, and AI Security, as well as working with large-scale datasets.
• Experience with deep learning for image/video understanding, Generative AI, hallucination detection & mitigation, and adversarial/backdoor/poisoning attack/defense is essential.
• Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python and C/C++, as well as Linux (eg. Ubuntu) is essential.
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage.
• Good inter-personal skills, with the ability to work with people from varied backgrounds.
• Excellent verbal and written communication skills.
• Entry level candidates are welcome to apply

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

The Dementia Research Centre (Singapore) [DRCS], part of the Lee Kong Chian School of Medicine (LKCMedicine), is dedicated to advancing research on cognitive impairment and dementia spectrum disorders. As a multi-study research center, DRCS focuses on the pathobiology of Asian dementia and innovative models of care for cognitive disorders. Led by Associate Professor Nagaendran Kandiah, an internationally renowned clinician-scientist, DRCS is spearheading transformative research initiatives like the BIOCIS study, CHOICE project, and AMBITION study.

Position: Research Assistant

We are seeking a highly skilled and motivated Research Assistant or Research Associate with a Bachelor’s or Master’s in Biomedical Engineering or Neuroscience or Psychology and related fields, to contribute to ongoing and future research initiatives, including BIOCIS (Biomarkers and Cognition Study, Singapore), CHOICE (Cerebrovascular Health, Optical Imaging, Cognition, and Evaluation of Lifestyle Intervention Study), and AMBITION (Asian Mild Cognitive Impairment – Blood-based Biomarkers, Ischemia, and Neuroinflammation Changes in the Asian Brain). The successful candidate will play a key role in advancing neuroimaging and optical imaging research in dementia.

Key Responsibilities:

Data Management and Analysis:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging and eye imaging studies
• Collaborate with data analysis teams to ensure integrity and clarity in the research outputs across all studies.
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Collaboration and Communication:

• Work collaboratively with multidisciplinary teams within DRCS and external collaborators to ensure the success of multi-study initiatives.
• Communicate research findings in peer-reviewed publications, internal seminars, and conferences.

Requirements:

• Bachelor's or Masters in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging or eye imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills