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.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Assistant.

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

Key Responsibilities:

• Assist research engineers and scientists for their experiments
• Assist to develop control system for insect-machine hybrid robot
• Write and prepare research papers, technical reports and presentations for project progress, and provide regular reports
• Reference: https://hirosatontu.wordpress.com/

Job Requirements:

• A Diploma Degree or Bachelor Degree in Science, Mechanical Engineering, Robotics, Electrical Engineering, Mechatronics, Control Engineering, Automation, or related field
• Oral and written communication skills, plus ability to read, comprehend, and explain engineering drawings and technical documents

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.

MSE at Nanyang Technological University (NTU) is seeking a highly skilled and innovative Research Fellow to advance research in ammonia e-cracking for sustainable hydrogen production. This position requires expertise in computational modeling, machine learning, materials synthesis, and advanced characterization techniques to design and develop efficient catalysts and processes for ammonia decomposition. Aligned with NTU MSE’s mission to conduct world-class research addressing critical global challenges in energy storage and environmental sustainability, the successful candidate will play a key role in driving high-impact research outcomes. This role offers opportunities to contribute to pioneering projects and produce influential publications, reinforcing NTU’s leadership in transformative research and cutting-edge energy solutions.

Key Responsibilities:

• Conduct research to design and develop advanced electrode materials and catalytic systems for ammonia cracking, with a focus on efficient hydrogen production.
• Utilize computational tools and machine learning techniques (Python, MATLAB) to simulate and optimize material properties, reaction pathways, and ammonia decomposition mechanisms.
• Synthesize and characterize catalytic materials using advanced techniques, including XRD, Raman spectroscopy, TEM, and XAFS, to evaluate structural stability, activity, and long-term performance under ammonia cracking conditions.
• Perform electrochemical testing to assess catalytic efficiency, hydrogen yield, and energy conversion performance, while developing optimized testing protocols.
• Integrate experimental results with machine/deep learning models and theoretical insights to uncover and understand new reaction mechanisms for enhanced ammonia decomposition.
• Publish research findings in high-impact peer-reviewed journals and present at leading international conferences

Job Requirements:

• PhD in Computational Chemistry, Catalysis, Energy Chemistry, or a related field.
• Extensive expertise in Density Functional Theory (DFT) for material design and optimization.
• Proficiency in computational tools and software, including VASP, Gaussian, CP2K, and DFTB+.
• Experience with machine learning force fields and multi-scale simulations to model material behavior and reaction mechanisms.
• Strong background in material synthesis, advanced characterization techniques (XRD, Raman spectroscopy, TEM, XAFS), and electrochemical testing methodologies.
• Proven track record of high-impact publications in leading peer-reviewed journals, demonstrating significant contributions to materials science and electrocatalysis.
• Exceptional problem-solving skills with the ability to integrate experimental findings and theoretical approaches to address complex research challenges.
• Demonstrated organizational and project management capabilities, ensuring the timely delivery of impactful research outcomes.

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

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

Key Responsibilities:

• Undertake research in resource allocation and data management for cloud computing and data-intensive applications.
• Conduct high-quality research on theoretical problems, algorithm design and analysis, and performance evaluation.

Job Requirements:

• A PhD degree in Computer Science or related disciplines from a reputable university
• Good knowledge in parallel and distributed computing, algorithm design and analysis, and optimization
• Relevant research experience with proven records
• Ability to conduct research independently
• Excellent communication and writing skills in English as required for research work

We regret that only shortlisted candidates will be notified.

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

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

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

Key Responsibilities:

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

Job Requirements:

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

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

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

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

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

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

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

Requirements:

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

Responsibilities:

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

Application

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

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

Closing Date

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

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 candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.
• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.
• Write, publish and disseminate results, including give research presentations at meetings.
• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers
• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.
• Represent the research group at external meetings / seminars, either with other members of the group or alone.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory
• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

We are looking for a Senior Research Fellow to conduct to achieve our KPIs, such as publishing papers and presenting findings in conferences, proposed for the research projects in the Saheki lab at LKCMedicine. The role will focus on the overall successes of the ongoing projects, in particular the ones require iPSCs or C. elegans, in the Saheki lab. Our lab is built on diversity, mutual respect, teamwork, and collaboration, with a special emphasis on providing mentorship for young talent, including students and postdocs. We will provide exciting opportunities and vibrant atmospheres as well as state-of-arts core facilities. We also offer a highly attractive remuneration package including competitive salary and fringe benefits. Excited and motivated individuals are all encouraged to apply.

Responsibilities:

• Carry out an independent research project and collaborate with other researchers.
• Supervise junior members of the lab, including graduate students and undergraduate interns.
• Keep a log of lab materials as necessary (e.g., cell lines, plasmid DNAs, proteins, C. elegans strains, and other essential reagents).
• Present research at lab meetings and national/ international conferences.

Skills and qualifications:

• Candidates should have a PhD or equivalent in any relevant field of life sciences with a demonstrated record of excellent problem-solving skills.
• Self-motivated and well-organized with good communication and technical skills.
• Experience in either one of the following fields: cell biology, mice or invertebrate genetics, imaging and/ or biochemistry (e.g., protein purification, in vitro reconstitution) is essential.
• Be able to work independently and collaborate effectively in a highly diverse and interdisciplinary team.

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

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

Key Responsibilities:

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

Job Requirements:

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

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

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

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

Key Responsibilities:

• The candidate will be expected lead and conduct research in urban sensing, specially the detection, localization and classification of active and passive targets via wireless RF signals in harsh urban environments.
• The candidate will be responsible for both theoretical development of methods and experiment design to validate the developed methods.
• Additional research responsibilities include supervising junior researchers, interns, and students; conducting detailed literature review and assessment of the state-of-the-art technologies; planning and executing detailed R&D activities to meet project objectives and deadlines; generating novel scientific or technological concepts for application of breakthrough nature and contributing to research proposals.
• Administrative responsibilities may include safety management, asset management, and other duties as required.

Job Requirements:

• PhD in Electrical & Electronics Engineering or a related fields
• Strong background and knowledge in modern RF communications/ digital signal processing particularly in wireless communications and RF Array processing, with at least 10 years of research experience.
• Proven track record in research and development of algorithms.
• Proficiency in algorithm development and programming skills using MATLAB or Phyton.
• Knowledge of machine learning or deep learning techniques.
• Familiarity with Ettus USRP devices, GNU Radio/LabVIEW programming is an advantage.
• Strong publication record.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.

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

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.

We are looking for a highly motivated Research Assistant to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on integrating high-dimensional topological structures with advanced simplicial neural networks, and applying these methods to real-world data from dynamical systems.

Key Responsibilities:

• Contribute to the development and implementation of topological data analysis techniques such as simplicial neural networks, with application in real data sets from dynamical systems
• Perform data preprocessing, feature extraction, and analysis on large datasets
• Preparation of research papers, reports, and presentations to disseminate findings
• Participate in regular team meetings and contribute to the overall progress of the project

Job Requirements:

• A Bachelor’s degree in applied mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data
• Experience with biomolecular data, particularly protein, DNA, and RNA data, knowledge of structural biology and protein modeling preferred
• Proficiency in programming languages such as Python, R, or similar
• Excellent analytical and problem-solving skills
• Ability to work both independently and collaboratively in a team
• Previous research experience and publication record in a related field preferred

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

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

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

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

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

Key Responsibilities:

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

Job Requirements:

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

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

The 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 & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

To develop microfluidic-based vascular platforms for atherosclerosis, immunology and extracellular vesicles research. Responsibilities include but not limited to microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis/reporting, grant writing, supervision of PhD students etc.

Key Responsibilities:

• Work on a project to develop novel microfluidics and organ-on-chip platforms
• Perform research related to diabetes, atherosclerosis and peripheral arterial diseases
• Perform in vitro drug testing using microfluidics and in-vitro assays
• Fabrication and validation of microfluidic devices using cell lines, blood and clinical samples.

Job Requirements:

• Interested candidate should possess a PhD degree qualification in biomedical engineering, vascular biology or a relevant biological discipline. We seek a motivated individual who can work well independently as well as with a team. He/she is preferred to have:
• Experiences in organ-on-chip and/or vascular biology research
• Experiences in basic cell and molecular biology techniques (mammalian cell culture, PCR, RT-PCR and ELISA), microscopy and flow cytometry
• Experiences in immunology or extracellular vesicles is an advantage
• Strong publication track record

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

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

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

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

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

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

Key Responsibilities:

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

Job Requirements:

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

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

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

The Asian School of the Environment at Nanyang Technological University (NTU) in collaboration with the Department of Geography at the National University of Singapore (NUS) invite applications for a Research Assistant or Associate (RA) in blue carbon policy, to begin February 2025 or soon thereafter. The position will run until 31st July 2026, subject to performance review. The successful applicant will be hired through NTU, but will be based flexibly and will be part of the NParks Marine Climate Change Science project ‘A Blue Carbon Framework for Singapore’s national climate change policy (BlueCarbonSG)’ .

Position Available:

Research Assistant in Blue Carbon Policy

Key Responsibilities:

The Research Assistant (RA) will have knowledge of coastal ecosystem services, social sciences, carbon policy, environmental science, and/or similar coastal environmental issues at the policy-academic interface. They will work closely with a Research Fellow and project staff for the ‘National Carbon Accounting’ Work Package, as well as the PIs to ensure the requirements of the project work plan are met. The RA will be responsible for assisting with social science data collection, collation and analysis of carbon and climate policy data, and assisting with data management. The successful applicant will assist in all aspects of the work package. This will additionally include conducting literature reviews of relevant articles and information, managing and analyzing ecological and socioeconomic datasets related to blue carbon science and policy in Singapore, and conducting field work to collect new data.

Job Requirements:

• Bachelor degree (second upper) in Environmental Science, Geography, Social Sciences or other related fields
• Excellent oral and written communication skills
• Highly organized and proactive
• Ability to work independently and meet deadlines
• Positive working attitude, both in a team and independently
• As the position requires stakeholder engagement in English, candidate must be fluent in English
• Familiar with data analysis software (e.g., R, Matlab, SPSS, Primer or Python)
• Experience with data analysis techniques (e.g., ANOVA, PCA, Regression, MDNS)
• Experience with qualitative methods a bonus (e.g., observations, interviews, etc.) and analysis (e.g., thematic coding, etc.)
• Excellent data management and analysis skills a bonus

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.

Applicants will be asked to appear for interview (including online). For further information on the project contact Research Fellow Dr. Radhika Bhargava ([email protected])

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

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

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

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

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

Key Responsibilities

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

Job Requirements

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

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

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

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

Key Responsibilities:

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

Requirements:

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

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

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

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

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations
• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics.
• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding.
• Enthusiasm, good communication skills, and being able to conduct independent research.

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

Center for Leadership and Cultural Intelligence (CLCI) at Nanyang Business School, is seeking a suitable candidate for the position of Research Associate. The Research Associate will be part of a dynamic team of researchers involved in spearheading high-impact research on leadership and cultural intelligence. In addition, this role offers great opportunities for acquiring research skills and capabilities.

Key Responsibilities:

• Design and manage data-collection, including set-up and administration/coordination of surveys and field interviews
• Collate quantitative and qualitative survey data and managing the database
• Conduct literature review and data analyses
• Present information in both visual and written formats

Job Requirements:

• Master’s Degree, preferably in Psychology
• Proficient in Microsoft Office (e.g. Word, Excel, Powerpoint) and other data visualization software (e.g., Tableau)
• Proficiency in statistical packages (e.g., R, SPSS) will be an advantage
• Detail-oriented, meticulous and able to work independently under time pressure
• Excellent interpersonal skills

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

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

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

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

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified

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

We are looking for a research associate to work on the development of an AI-power capsule endoscope that emulate a human eye for tracking a fast moving object.

The research associate will work on a project to conduct the investigation on development of ingestible robotic system to enable continuous monitoring of disease relevant biomarkers and decision-making for on-demand delivery of therapeutics in the gastro intestinal tract in a non-invasive and automated manner. Novel sensors and actuators as well as their circuit design interface and algorithms for will be investigated.

Key Responsibilities:

• Development of circuit for implementing FPGA and microcontroller for implementing edge computing in ingestible/implantable electronics.
• Development of AI accelerator for encryption of wireless communication in medical electronics.

Job Requirements:

• MSc in Electrical and Electronic Engineering, computer engineering, or related field
• 4-year research experience in related area
• Expertise in embedded system and FPGA
• Knowledge in interfacing circuit design for low power sensing and wireless communication
• Experiences in biosensors and actuators for biomedical applications are highly preferred
• Publication track record is an advantage
• Proficiency in basics of programming languages such as C, C++ and Python

We regret 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

We are looking for a Research Fellow to support the research for the project titled: Resistive Memory Endurance Enhancement Utilizing Smart Mitigation and Recovery Techniques.

Key Responsibilities:

The Research Fellow will work on the assigned project to conduct the research on development of resistive circuits design. The candidate must have good experience in the areas listed below, possesses excellent skills. The roles of this position include:

• Development of robust resistive circuits design
• Test chip design and layout
• Good testing skills

Job Requirements:

• PhD degree in Electrical and Electronic Engineering or related field
• Expertise in resistive memory circuits design
• Excellent publication track record is an advantage
• Test chip design and testing experience are advantages
• Excellent verbal and written communication skills

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.

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

The PI’s research lab focuses on soft electronics, soft robotics, energy conversion and thermal management.

We are looking for a Research Fellow to deliver project milestones for the field of iontronics particularly on energy harvesting, actuator and sensing integration. The role will focus on research on iontronics applications for future energy and soft electronics.

Key Responsibilities

• Interest in iontronics development
• Skills on ionic conducting polymer preparation
• The position requires interdisciplinary skillset, strong communication skills and ability to manage complexity
• Participate in the conduct of research project with research team members to ensure completion of deliverables
• Collaborate with internal and external stakeholder on commercialization potential of the research outcomes
• Mentoring and train junior students in the lab
• Assist in grant writing
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers
• Assist in high quality reports and documents that consolidate research findings

Job Requirements:

• PhD degree in materials science or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in energy harvesting, sensing and actuators
• Familiarity with required scope on flexible electronics
• Good written and oral communication skills in English – essential for research purposes
• Proficiency in materials synthesis, characterization, electrical data measurements and analyses
• Competent in process integration
• Excellent skillsets in fabrication of ionic conducting polymers
• Advanced knowledge in 3D printing and inkjet printing
• Expert in energy harvesting, Passion in sensing and actuators integration
• Interpersonal skill (Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)
• Candidate with prior experience of more than 2 years working on energy harvesting or actuators
• Candidate with prior knowledge on device fabrication and electrical measurements
• Expert knowledge in novel materials for energy harvesting

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

We are currently recruiting a Research Assistant to work in translational respiratory research investigating infectious and immune consequences in chronic inflammatory lung diseases such as asthma, COPD and bronchiectasis. The individual should have a track record in molecular biology techniques such as DNA/RNA extractions & RT- PCRs. and should be comfortable in handling patient derived specimens. The individual should be able to work independently, multi-task & work collaboratively in a cross-disciplinary research environment.

Successful candidates will have the opportunity to work with an international and multidisciplinary team of investigators including close collaborations with respiratory and infectious disease clinicians nationally and the other schools within the wider NTU community where the lab already has existing collaborative projects.

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

Key Responsibilities:

Laboratory:

• Ensure that lab is adequately stocked with clean glassware, chemicals, etc. required for experiments
• To operate and maintain microbiome & other lab equipment
• To perform biological sample processing, DNA extractions, PCRs, basic microbiological techniques
• To perform daily lab management tasks such as inventory of supplies and samples, preparing sample processing media and solutions, ordering supplies and stocks, general housekeeping
• Ensure that standard operating procedures and safety regulations are followed
• To perform other related duties

Administrative:

• Maintain a systematic record of all purchases & track sources of funding
• Liaise with vendors and administrative office to ensure proper purchase requisitions, goods delivery and prompt payment of supplies
• To prepare lab for safety audits and maintain and update lab safety folder and inventories
• To assist post docs with conducting research studies by preparing sample packs, study questionnaires etc., coordinate and work closely with research teams from multiple sites across Singapore

Key Requirements:

• Degree in life sciences or equivalent in any relevant field of molecular biology
• Expertise in molecular and microbiological laboratory techniques
• Basic level Microsoft Excel & PowerPoint skills
• Good written and oral communication skills
• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details/ excellent organizational / time management skills

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

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

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

Job Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.