The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities.

For more details, please view School of Civil and Environmental Engineering | NTU Singapore.

We are looking for a Research Associate to conduct life-cycle assessment on solid waste treatment and management systems.

Key Responsibilities:

• Life-cycle assessment on solid waste treatment and management systems.

Job Requirements:

• Master’s degree in Environmental Engineering or related field
• At least 1 year of relevant experiences in life-cycle assessment
• Familiarity with related literature and software
• 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 Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

We are looking for a research fellow with a strong background in electrochemistry and catalysis to Development and optimization of biomass chemical conversion technologies.

Key Responsibilities:

• Develop and optimize catalysts, including MOF-derived and bimetallic systems, for biomass conversion and sustainable chemical processes.
• Research on novel solvent processing techniques
• Design and fabricate advanced sensing devices for chemical conversion applications.
• Apply artificial intelligence and machine learning techniques for catalyst development, reaction optimization, and process scaling.
• Utilize flow chemistry techniques to develop efficient, scalable chemical transformation processes.
• Mentor and train graduate students in research methods and scientific techniques.
• Publish high-quality research in top-tier scientific journals.

Job Requirements:

• PhD in a relevant field such as Chemical Engineering, Materials Science, Chemistry, Environmental Engineering, or a related discipline.
• Candidates with a strong research background and practical experience in areas such as biomass conversion, MOF-based catalysis, the application of artificial intelligence in chemical engineering, or flow chemistry will be given preference.
• Capable of design and assemble of device prototypes.
• Ability to conduct independent research while also effectively collaborating with a multidisciplinary team.
• A strong written and oral command of the English language for research purposes
• A proven track record of publications in top-tier scientific journals.

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 30-month contract at the Psychology and Child & Human Development Department.

Project Title: Identifying and assessing integrative STEM competencies for secondary school students in Singapore.

Project Introduction: The proposed research is an exploratory study on what constitutes key STEM competencies and how the assessment of these key STEM competencies can be integrated with-in the school curriculum through a learning progression approach. There are three main objectives to the proposed project. First, we aim to identify key integrative STEM competencies for secondary school students by reaching a consensus amongst subject matter experts on these constituents.

Second, we aim to select one top ranked STEM competency, that was identified in the first aim, to assess, monitor and develop systematically. Accordingly, a learning progression of one essential competency will be developed and validated. A learning progression is fitting as it combines a developmental pathway based on research with appropriate assessment tasks and pedagogical guides for teachers. Third, we aim to explore how the learning progression can be integrated within the school curriculum. Information will be obtained from qualitative interviews with involved educators. The current project can act as a case study for other schools to model.

Requirements:

• A degree related to education or related fields
• Good communication and interpersonal skills
• Good attention to detail
• Strong planning and organizational skills
• Able to work independently and in a team
• Able to learn fast, multi-task and work within tight schedules
• Proficiency in spoken and written English
• Proficiency in Microsoft Office applications
• Preferably with prior experience in research methods, such as interview, survey and/or assessment.
• Preferably with some knowledge of STEM

Responsibilities:

• Coordinate with various groups of people including experts from industry, research, and teaching
• Conduct literature reviews
• Coordinate schedules for data collection with participants and schools
• Assist in data collection, including administering surveys, interviews, and assessment tasks
• Assist in data entry and processing
• Contribute to the dissemination of research findings including preparing academic publications and research reports.
• Assist with any other duties as assigned by Principal Investigator.

Application

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

Workday Job Req ID: R00019548 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Psychology-and-Child---Human-Development-Department--NIE-_R00019548-1)

Closing Date

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 3-month part-time contract at the Psychology and Child & Human Development Department.

Project Title: Identifying and assessing integrative STEM competencies for secondary school students in Singapore.

Project Introduction: The proposed research is an exploratory study on what constitutes key STEM competencies and how the assessment of these key STEM competencies can be integrated with-in the school curriculum through a learning progression approach. There are three main objectives to the proposed project. First, we aim to identify key integrative STEM competencies for secondary school students by reaching a consensus amongst subject matter experts on these constituents.

Second, we aim to select one top ranked STEM competency, that was identified in the first aim, to assess, monitor and develop systematically. Accordingly, a learning progression of one essential competency will be developed and validated. A learning progression is fitting as it combines a developmental pathway based on research with appropriate assessment tasks and pedagogical guides for teachers. Third, we aim to explore how the learning progression can be integrated within the school curriculum. Information will be obtained from qualitative interviews with involved educators. The current project can act as a case study for other schools to model.

Requirements:

• A degree related to education or related fields
• Good communication and interpersonal skills
• Good attention to detail
• Able to work independently and in a team
• Proficiency in spoken and written English
• Proficiency in Microsoft Office applications
• Preferably with prior experience in research methods
• Preferably with some knowledge of STEM

Responsibilities:

• Conduct literature reviews
• Assist in data entry and processing
• Contribute to the dissemination of research findings including preparing academic publications.
• Assist with any other duties assigned by Principal Investigator

Application

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

Workday Job Req ID: R00019549 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Psychology-and-Child---Human-Development-Department--NIE-_R00019549)

Closing Date

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

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.

We are seeking a highly motivated Research Fellow to join the laboratory of Professor Yonggui Gao. The research focuses on the molecular mechanisms of polysaccharide biosynthesis and regulation, using a combination of microbiological and genetic engineering approaches, along with protein structural and functional methodologies.

Key Responsibilities:

• Investigate the molecular mechanisms of polysaccharide biosynthesis and regulation.
• Utilize combinative approaches, including microbiology, genetic engineering, and protein structural analysis.
• Collaborate with a multidisciplinary team with expertise in protein structure, chemistry, biochemistry, and microbiology.
• Perform any other duties as assigned.

Job Requirements:

• PhD or relevant research experience in microbiology or a related field.
• Experience in genetic engineering techniques such as gene knock-out and/or knock-in.
• Strong motivation and ability to work collaboratively within a team.

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

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

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

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

We are looking for a Research Fellow to drive innovation in soft and stretchable electronic systems by addressing critical challenges in interconnect design, enabling their extensive deployment in advanced applications. The role will leverage expertise in dynamic surface wrinkling, functional polymer materials, and adaptive optical sensing technologies to develop intelligent, adaptive systems. This position aims to contribute to cutting-edge research that advances soft interconnects and multifunctional materials for applications in robotics, bioelectronics, and anticounterfeiting.

Key Responsibilities:

• Conduct research collaboratively with team members to ensure the timely completion of project deliverables.
• Design, develop, and fabricate soft interconnects for stretchable electronic devices, enabling their integration into functional systems such as wearable and robotic platforms.
• Collaborate with internal and external stakeholders to advance the deployment of next-generation flexible and stretchable electronic systems.
• Assist in grant writing.
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.
• Assist or produce high quality reports and documents that consolidate research findings
• Publish research findings in high-impact journals and present at international conferences.
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• PhD in Polymer Chemistry, Materials Science, Mechanical Engineering, or a related field.
• Expertise in soft robotics, dynamic surface engineering, optical sensing, and flexible electronics.
• Proficiency in advanced material synthesis and characterization techniques.
• Demonstrated ability to design and fabricate device prototypes for innovative applications.
• Strong track record of publications in high-impact journals.
• Good written and oral communication skills in English for research purposes
• Capable of conducting independent research while effectively collaborating in a multidisciplinary environment.

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

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

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

SPMS is looking for a candidate to join them as a Research Fellow.

Key Responsibilities:

• To conduct high quality research in coding theory.
• To assist the Principal Investigator (PI) with the writing of research papers.
• To assist the PI with the writing of research grant reports.
• To assist the PI in the supervision and mentoring of a small research team comprising post-graduate students and undergraduate students.

Job Requirements:

• Candidate must possess at least a PhD Degree in mathematics or computer science with strong publication track records. PhD candidates who are about to submit their thesis for examination or have submitted their thesis for defence are also welcome to apply.
• Proficiency in programming would be preferred.
• Post-doctoral research experience in related areas would be an advantage.
• Knowledge and research experience in algebraic coding theory and quantum error-correction would be essential.

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 to inform that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Assistant at the Office of Education Research, Science of Learning in Education Centre.

Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1

Project Introduction: This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments.

Requirements

• Honours degree in the relevant fields (Social science/Psychology/Education)
• Proficient knowledge in qualitative analysis
• Relevant skills in academic research (e.g., conducting literature review, interviews)
• Prior experience in research either at the undergraduate or postgraduate levels
• Technologically competent: able to exploit hardware and software for qualitative data analysis
• Good communication and interpersonal skills
• Ability to relate to teenagers
• Ability to work independently

Responsibilities

• Conduct literature review in the relevant fields
• Obtain consent from research participants
• Conduct field work at MOE sites
• Administer student/teacher/parent survey forms
• Conduct interviews with selected research participants
• Analyse all qualitative data
• Code, organise, analyse, and present the respective data
• Assist with the final report on the findings

Application

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

Please include your name in your CV file name.

Workday Job Requisition ID: R00017589, R00017591, R00017592

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00017589-1)

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00017591)

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00017592)

Closing Date

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

A Corp Lab in NTU is looking for a Research Fellow to support research work under the project “Urban Sustainability” which aims to develop a suite of techniques for efficiently and effectively building new digital infrastructure of city scenes, managing all city data in a high definition and 3D/4D referencing system, and performing simulation, interaction, and analysis on the digital twin city model.

We are looking for a Research Scientist to work on the simulation aspect of the project, focusing on i) data-driven model creation and auto-calibration of agent-based simulations; ii) dynamic creation of simulation instances for providing modelling and simulation as service on the Cloud; and iii) speeding-up and scaling-up agent-based simulations.

Job Responsibilities:

• To support research work under the project “Urban Sustainability” which aims to develop a suite of techniques for efficiently and effectively building new digital infrastructure of city scenes, managing all city data in a high definition and 3D/4D referencing system, and performing simulation, interaction, and analysis on the digital twin city model.
• Work on the simulation aspect of the project, focusing on i) data-driven model creation and auto-calibration of agent-based simulations; ii) dynamic creation of simulation instances for providing modelling and simulation as service on the Cloud; and iii) speeding-up and scaling-up agent-based simulations.
• To conduct high-quality research on algorithm design, analysis, and performance evaluation and publish research outcomes in top tier conferences and journals.

Job Requirements:

• PhD degree in computer science or related field
• Strong scientific publication record
• Familiarity with discrete-event modelling and simulation and data-driven applications
• Excellent programming skills and experience in large system development
• Ability to work independently and with a large team
• Excellent analytical, technical, and problem solving skills
• Strong verbal and written communication skills

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

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

For more details, please view: https://www.cares.cam.ac.uk/research/clic/

We are looking for a Research Assistant to support research activities on cognitive flexibility and learning, and training-related brain changes among adults and adolescents. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members and take on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy.

Key Responsibilities:

• Conducting literature review
• Conducting interviews
• Liaising with school personnel
• Survey construction, evaluation, and administration
• Assist in quantitative and qualitative processing and analysis
• Project and data management, maintain research records
• Collect primary data, responsible for data coding and entry
• Report preparation
• Assisting in the analysis of findings

Job Requirements:

• Bachelor’s degree in psychology with a background in cognition, emotion, or related field.
• Experience in conducting, collecting data for and analysing surveys, psychological testing (computerised), behavioural testing and cognitive experiments
• Experience in conducting literature reviews and writing academic reports
• Experience with statistical analysis using SPSS and/or R language
• Good ICT skills
• Good communication skills and other interpersonal skills
• Excellent organizational skills and able to work effectively within deadlines
• Experience preparing reports, protocols, presentations and manuscripts with guidance
• Interest in research at the intersection of neuroscience, social science, education, and cognition

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

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

For more details, please view: https://www.cares.cam.ac.uk/research/clic/

We are looking for a Research Assistant to support research activities on cognitive flexibility and learning, and training-related brain changes among adults and adolescents. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members and take on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy.

Key Responsibilities:

• Conducting literature review
• Conducting interviews
• Liaising with school personnel
• Survey construction, evaluation, and administration
• Assist in quantitative and qualitative processing and analysis
• Project and data management, maintain research records
• Collect primary data, responsible for data coding and entry
• Report preparation
• Assisting in the analysis of findings

Job Requirements:

• Bachelor’s degree in psychology with a background in cognition, emotion, or related field.
• Experience in conducting, collecting data for and analysing surveys, psychological testing (computerised), behavioural testing and cognitive experiments
• Experience in conducting literature reviews and writing academic reports
• Experience with statistical analysis using SPSS and/or R language
• Good ICT skills
• Good communication skills and other interpersonal skills
• Excellent organizational skills and able to work effectively within deadlines
• Experience preparing reports, protocols, presentations and manuscripts with guidance
• Interest in research at the intersection of neuroscience, social science, education, and cognition

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

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. The School of Civil and Environmental Engineering (CEE) aims at exploring and utilizing the underground space in a sustainable manner.

Our department is seeking to hire a high-calibre researcher to provide leadership and support for digital transformation of geotechnical industry.

Key Responsibilities:

• Responsible for developing state-of-the-art machine learning algorithms to fuse multi-source data for TBM tunneling risk assessment.
• Apply emerging digitalized approaches to transform the current engineering practices.

Job Requirements:

• Master’s degree in mechanical and civil engineering or related field
• At least 2 years of relevant experiences in thermal engineer / technical hands-on experience in thermodynamic analysis
• Good written and oral communication skills
• Proficiency in programming, such as Python, MATLAB, or other competent languages
• Competent in soft skills / general personality traits e.g. information visualization, interaction design
• A good record of publications in reputable peer-reviewed journals or conferences

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

The Centre for Urban Solutions is to provide leadership in developing innovative solutions and sustainable technologies for space creation and urban infrastructure development.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 50 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities.

Key Responsibilities:

• The Research Associate should be familiar with applied geophysics, data analytics, and/or underground engineering, particularly land and marine geophysical surveys.
• The position involves in conducting research, supervising undergraduate students, and writing scientific articles.

Job Description:

• To be involved in a research project related to applied geophysics, particularly land and marine geophysical survey, machine learning and data analytics, and seismic interpretation;
• Key responsibilities include conducting seismic survey and develop machine learning algorithms for data analysis;
• A MS Degree in applied geophysics or equivalent from a recognized university;
• Able to work independently and collaborate with team members;
• Good verbal and written communication in English - essential for data analysis and communication with stakeholders
• Working or research experience in seismic data processing and/or underground engineering of at least 1 years is desirable.

We regret that only shortlisted candidates will be notified.

NTU Facility for Analysis, Characterisation, Testing and Simulation (FACTS) invites applications for the position of Research Fellow/Senior Research Fellow.

Key Responsibilities

• Responsible for running the Small/Wide Angle X-ray Scattering (SAXS/WAXS) facility and the thin film XRD. The role mainly covers instrument management, user support in terms of training, and consultation, to enable a broad user base to use the machines efficiently and safely.
• Conduct maintenance on the above machines, liaising with vendor engineers and trouble-shooting regular problems and issues.
• Conduct data analysis related to SAXS/WAXS and thin film XRD experiments.
• Deliver courses on SAXS/WAXS and thin film XRD covering introductory and topical or advanced courses that are relevant for facility users.
• Organise workshops and conferences to provide support for users, in collaboration with external vendors and other organisations.
• Provide consultancy for various ongoing university projects on related subjects on SAXS/WAXS and thin film techniques. Write up experimental reports and paper sections in accordance to the work done.
• Fulfil any other assigned duties as needed.

Job Requirements

• PhD in Materials Science, Physics, or a related field.
• Proficient in conducting SAXS/WAXS analysis in transmission and in grazing incidence (GISAXS/GIWAXS). Additional experience related to thin film XRD analysis such as X-ray reflectivity (XRR), crystal orientation mapping and high resolution XRD, are highly beneficial.
• Experience doing in-situ measurements, including but not limited to heating/cooling will be a plus.
• Strong communication and organizational skills are essential.
• Excellent command of written and verbal English.
• Capable of working collaboratively in a team as well as independently

We regret that only shortlisted candidates will be notified.

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

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

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Associate to design and fabricate multifunctional polymer lattice structures with integrated sensing ability for mechanical protection in various applications through powder-bed-based 3D printing.

Key Responsibilities:

• Design multifunctional lattice structures.
• Fabricate lattice structures by 3D printing.
• Conduct property tests of 3D-printed structures.
• Collaborate with other group members (including PhD students and research staff).
• Publish research results in reputable international journals.

Job Requirements:

• Minimally Master’s degree in Mechanical Engineering, Materials Science, or closely related field.
• Good communication and writing in English.
• In-depth knowledge in lattice structures and 3D printing technologies.
• Experience in numerical modelling for 3D printing.
• Good publication record.

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

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

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

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

Key Responsibilities:

• Independent research in the field of personalized federated learning.
• Supervising undergraduate students and research staff.
• Help with the preparation of research proposals.
• Help with supervising the development of research platforms.

Job Requirements:

• Master’s degree in Computer Science from a reputable university.
• Good publication track record.
• Previous research experience in machine learning / AI a must.
• Previous experience in the topic of personalized federated learning will be an advantage.

We regret 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.

The Wee Kim Wee School of Communication and Information (WKWSCI) at Nanyang Technological University and CNRS@CREATE is jointly looking for a Research Assistant (RA) to join the Shaping Public Adaptive Capacity for Environmental Infectious Diseases (SPACE) Project. This project aims to develop a research protocol for infectious disease prediction and prevention in Singapore.

Established in 1992, the WKWSCI is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations. CNRS@CREATE, the first overseas subsidiary of the French National Centre for Scientific Research (CNRS), acts as a programme operator to build and conduct large interdisciplinary research programs. It is a trans-continental hub for research with unique opportunities for high quality faculties, researchers, and postgraduate/postdoctoral students. It is located in Singapore, in the Campus for Research Excellence and Technological Enterprise (CREATE), and international research campus and innovation hub.

More information can be found here: https://www.cnrsatcreate.cnrs.fr/space/

Key Responsibilities:

• Conduct literature search
• Assist in development and conceptualization of experiments
• Assist in data analysis of experimental data
• Contribute to research publications and presentations
• Assist in writing progress report and final research report
• Engage in the dissemination of the results of the research with the support of and under the supervision of the Principal Investigator
• Carry out administrative work associated with the program of research as necessary

Key Competences:

• Bachelor’s degree in fields including communication, psychology, sociology, or a social science related discipline. (Candidates with a good bachelor’s degree in related fields will be considered.)
• Prior experience in experiment for social science research

Desired Qualifications:

• Good communication and organizational skills
• Team player in a project setting, also with the ability to work independently in a multi-cultural team environment
• Good quantitative data management and analytical skills (e.g., being able to analyze data using SPSS, MPLUS, R, and/or Python).
• Good communication and organizational skills (ability to work in a highly collaborative and multi-cultural team environment).
• Team player in a project setting, also with ability to work independently in a multi-cultural team environment
• Must demonstrate initiative and good interpersonal communication skills
• An internationally recognized research track record as evidenced by journal publications and conference presentations

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

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

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

Key Responsibilities:

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

Job Requirements:

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

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

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

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

Join the laboratory of Shen Yijie at SPMS. We are seeking a Research Assistant to contribute to a project focused on Harnessing High-Dimensional Complex Optical Topological Structures by Generative AI.

Key Responsibilities:

• Develop the AI architecture for the project
• Design the Physics-enhanced algorithm for structured light classification
• Manage the project's progress
• Write the academic paper (journal and conference)
• Write the research funding proposal

Job Requirements:

• Bachelor’s degree in AI for Science or related field
• At least 3 years of relevant experience in technical hands-on experience with AI for Nanophotonics
• Familiarity with structured light, generative AI models.
• Good written and oral communication skills
• Proficiency in FDTD simulation, PyTorch, and Python Programming
• Ability to work independently / develop solutions under strict timelines
• 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.

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

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.

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.

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.