Total 1,381 science rd research job vacancies

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.

The CLIC program is seeking one full-time Research Associate (with potential opportunities for reappointment). The research associate will support research activities focusing on cognitive flexibility and learning, and training-related brain changes among adults and adolescents. Given the highly inter-disciplinary nature of the project, the research assistant will be expected to take on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy.

• Support the recruitment of approximately young adults (18 – 30 years) from vocational institutions (e.g. ITE, polytechnics and universities) as well as from the general working population via community sampling (e.g. community centres, clinics, via social media platforms).

• Organize the collection of datasets

• Overview and standardize protocols for data coding, data entry and data analysis for the datasets

• Assist with the preparation of conference presentations journal papers

• Other administrative duties

Essential requirements:

• Master's degree in Psychology, Neuropsychology, Cognitive Neuroscience or a related discipline

• Prior experience in conducting adult cognitive testing and neuroimaging (fMRI, EEG)

• Prior experience with participant recruitment processes

• Prior experience and familiarity with data management protocols and ethical regulatory frameworks in Singapore

• Experience in performing general administration tasks for research projects

• Experience in producing research reports

• Good statistical knowledge and skills, including familiarity with statistical analysis software such as R and SPSS

• Good IT skills (Office®)

• Strong interpersonal, written and verbal communication skills

• Excellent organizational skills and able to work within given deadlines

• Excellent time management and organizational skills. 

We regret that only shortlisted candidates will be notified.

Please apply by uploading your CV and academic transcript to NTU job portal link.

If you have any questions, please feel free to reach out to us at clic@ntu.edu.sg.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28SHINE-Industry-Projects-and-Programme-Support%29/33489-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

SHINE Industry Projects and Programme Support
•             Coordinate SHINE consortium activities and industry project administration.
•             Support coordination among researchers, industry partners, government agencies, and internal stakeholders to facilitate SHINE activities and industry collaborations.
•             Coordinate industry project activities, including tracking project progress, deliverables, milestones, and reporting requirements.
•             Maintain project documentation, records, and administrative materials to support project execution and compliance requirements.
•             Support technical workshops, industry engagements, consortium activities, and collaborative initiatives involving SHINE researchers and industry partners.
•             Organise workshops, seminars, technical talks, industry visits, and stakeholder engagement activities.
•             Support development of postgraduate programme operations and related programme initiatives.
•             Liaise with researchers, industry partners, government agencies, students, and internal stakeholders to support programme objectives.
•             Provide administrative and operational support for SHINE initiatives and other ad-hoc programme activities as assigned.

Qualifications

•            Possess a Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Mathematics), preferably in Electrical Engineering, Computer Engineering, Materials Science, Physics, Mechanical Engineering, or a related field.
•             Relevant experience in project coordination, industry collaborations, stakeholder engagement, programme administration, research administration, or related functions would be advantageous.
•             Experience coordinating projects, workshops, industry engagements, postgraduate programmes, internships, or multi-stakeholder initiatives would be advantageous.
•             Ability to engage effectively with researchers, students, industry partners, government agencies, and other stakeholders.
•             Strong interpersonal, communication, stakeholder management, and organisational skills.
•             Ability to manage multiple priorities and work effectively in a dynamic environment.
•             Experience in a university, research institute, government agency, corporate laboratory, or technology-related environment would be advantageous.
•             Familiarity with semiconductor technologies, advanced packaging, microelectronics, photonics, or related technology domains would be advantageous.
•             Self-motivated, resourceful, and able to work independently as well as collaboratively within a team.
•             Open to appointment on a fixed-term contract.

Are you passionate about laboratory operations and scientific processes? Join a dynamic healthcare and life sciences environment where you can contribute to accurate testing, sample processing, and meaningful laboratory activities.

Responsibilities:

• Perform laboratory tests and support pre- and post-analytical processes to ensure accurate and reliable results
• Prepare, label, handle, and process specimens and samples according to established procedures
• Operate and maintain laboratory equipment such as centrifuges, pipettes, pH meters, and other analytical instruments
• Record, document, and manage test results and laboratory data accurately
• Follow laboratory protocols, safety guidelines, and quality standards
• Maintain a clean, organised, and well-stocked laboratory workspace
• Support daily laboratory operations and administrative tasks where required
• Rotate across various laboratory departments, including Microbiology, Hematology, Blood Banking, Immunology, Clinical Chemistry, Molecular Biology, and Cytotechnology

Requirements:

• Minimum Diploma in Clinical Laboratory Technology, Biotechnology, Biomedical Science, or related disciplines
• Strong attention to detail with good numerical and data handling skills
• Good communication and interpersonal skills
• Proficient in Microsoft Office applications
• Able to work independently while following established procedure

Interested candidates are welcome to send your updated resume to healthcaretemps@recruitexpress.com.sg
(Attn: Lab Assistant)

Thank You.

Leon Leong De Cong
R1551708
Recruit Express Pte Ltd
EA License No. 99C4599

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 at Nanyang Technological University, was established in 2002 with a mission to advance excellence in biological and biomedical sciences. Our research spans diverse and impactful areas including infectious diseases, immunology, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and education.

Join the laboratory of Liu Chuan Fa at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focused on developing protein conjugates and cyclic peptides as therapeutic agents using bioconjugation and peptide chemistry techniques.

Key Responsibilities

• Develop peptide cyclization methods

• Develop bioconjugation techniques using plant-derived AEPs and other enzymes

• Evaluate pharmacological activity of cyclic peptides and bioconjugates

• Supervise attachment students (FYP, URECA and interns)

• Develop and use AI tools for drug discovery

• Write up, publish and present research results in peer-reviewed international journals and at scientific conferences.

Job Requirements

• A PhD degree in biological sciences or related areas, with prior training in medicinal chemistry, peptide and protein science

• Experience in small-molecule drug discovery, peptide synthesis, protein chemistry and bioconjugation research

• Experience in basic cell & molecular biology, analytical chemistry and biophysics techniques (bacterial and mammalian cell culture, PCR, RT-PCR and ELISA, NMR, Mass Spectrometry, microscopy and flow cytometry)

• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders

• Strong publication record

• Entry level candidates are welcome to apply

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

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Urban-Ecology-Biodiversity-Landscape-Maintenance%29/33431-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture at NUS invites applications for multiple research positions within an interdisciplinary research project about urban ecosystem services. Successful candidates will join a dynamic and collaborative team engaged in large-scale, externally funded projects addressing pressing urban challenges in Singapore and globally. The positions offer a supportive research environment, competitive remuneration, and access to state-of-the-art facilities.

The research fellow is expected to join at the end of 2026. The position is a one-year appointment and might be renewed up to 3 years based on the performance and career plan of the hired person.

Responsibilities
•    Simulate and evaluate urban biodiversity
•    Conduct field surveys and model calibration
•    Quantify landscape maintenance regimes
•    Contribute to design guidelines and project coordination

Qualifications

•    PhD in Urban Ecology, Landscape Architecture, or related field
•    Experience in biodiversity surveys and ecological modelling
•    Strong analytical and visualization skills
•    Ability to integrate ecological insights into design strategies

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Biological-Sciences%29/33316-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Molecular Breeding Laboratory at the Lee Hiok Kwee Functional Genomics Laboratories, Department of Biological Sciences led by Associate Professor Chew Fook Tim, is currently looking for TWO Research Fellows with relevant PhDs, and TWO Research Assistants with BSc(Hons) degree or MSc in relevant fields and background, to join the project on the Molecular Breeding of Leafy Greens and Fruiting Vegetables / Seed Innovation Hub.

The work would include:

• Large-scale Global Germplasm Evaluation and Assessment,
• Key Deep Phenotypic Definition and Evaluation, including molecular, cell culture-based and biochemical bioassays,
• Characterization of Genetic Control, Genome-wide Associations, and Functional Characterization of Candidates,
• Crossing, Cultivar and Lines Development,
• Integration of Genomic Data into Cultivation Processes,
• Multi-Location Trial Evaluations, 
• Project Management of External Collaborations, and
• Scientific Communications and Publications.

Qualifications

PhD Degree in Science and in related fields.

Skills:

• Strong motivation and leadership in pursuing challenging scientific questions.
• An ability to work well with interdisciplinary colleagues.
• Experience in mentoring and training junior researchers (including undergraduates and polytechnic interns).
• Excellent written and interpersonal communication skills.
• Good time and resource management skills.

Experience:

• Experience in Bioinformatics / Genetics / Statistics is mandatory and should be able to code in R.
• In addition, experience in Plant Molecular Biology techniques including CRISPR and Functional Characterization of Genetic Control, Large Scale -omics Technologies, and Data Analysis, would be an advantage.

About Us:

The National Cancer Centre Singapore (NCCS) is a leading national and regional tertiary cancer centre, attending to most of patients with cancer in Singapore’s public healthcare sector. We offer world class oncology care by having the best talent, giving the best care and doing the best research to improve cancer outcomes. Join us to build a meaningful career and offer patients hope for a cancer-free tomorrow.

About the Role:

The Division of Supportive and Palliative Care (DSPC) seeks a dynamic and compassionate individual to join our young and dynamic research team. Our research projects seek to improve care for patients with cancer, heart failure and other serious illnesses by developing, evaluating and implementing novel models of healthcare service delivery for palliative care, including the use of artificial intelligence.

You will perform a variety of activities under the supervision of the Principal Investigator and/or her designate.

Key Responsibilities:

- Screen and recruit research participants.

- Conduct semi-structured interviews or surveys with research participants at various settings (e.g. in-patient, out-patient, residential settings, virtual settings).

- Extract clinical data from medical records.

- Enter and manage study data.

- Assist in literature reviews and survey development.

- Assist with preparation of presentations and manuscripts.

- Attend to the administrative and logistic needs of research projects, including IRB submissions and report writing.

- Be involved in educational research activities.

Job Requirements:

- Bachelor’s degree in life sciences or social sciences or with 2 years of relevant experience in these fields.

- Prior experience or evidence of knowledge in conducting interviews/survey research/ scientific writing would be advantageous.

Job Summary

Role Overview

You will help leadership build and manage a balanced research portfolio — spanning themes, maturity levels, risk profiles, funding sources, and paths to real-world impact. You will develop investment cases, lead resource planning, and ensure that the institute’s research bets are strategically sound.

Key Responsibilities

• Support long-term research portfolio planning across themes, maturity levels, risk profiles, funding sources, and paths to impact.
• Develop investment cases and decision papers to support leadership discussions on major research bets and capability-building.
• Evaluate programmes based on scientific excellence, strategic relevance, and potential for real-world impact.
• Lead long-term planning for budget, headcount, infrastructure, compute, data, and platforms to support the institute’s goals.
• Partner with finance, HR, operations, IT, and research teams to align resource planning with strategic priorities.

Requirements

• Degree in science, engineering, business, finance, operations, or a related field; experience in R&D portfolio planning or resource management is advantageous.
• Strong understanding of research portfolio management, resource planning, budgeting, headcount planning, and programme evaluation.
• Ability to develop investment cases, decision papers, portfolio analyses, and resource plans for senior leadership.
• Strong cross-functional coordination skills, with experience working across research, finance, HR, operations, and IT teams.

Career Growth & Impact

• Manage a portfolio at national scale. You will oversee research investments spanning multiple domains, risk profiles, and funding sources — the kind of breadth usually found only at global R&D organisations.
• Influence major investment decisions. Your analysis and recommendations will directly shape which research bets the institute makes — and where it builds new capabilities.
• Build a versatile, cross-functional skill set. You will work at the intersection of science, finance, operations, HR, and IT — experience that is highly transferable across sectors.
• Accelerate your career. A strong foundation for progression into senior research management, chief-of-staff roles, or leadership positions in national research planning.
• on management.

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/33402-en_GB/?st=27EA650B338B5E357BE8807DDBD8CC0F4FE85C73

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. BAO Weizhu and his research group at NUS on modeling and simulation for semiconductor devises and scientific machine learning methods for PDEs arising from emerging applications.

The main responsibilities of the position include working with the PI and his research group on developing and analyzing efficient and accurate numerical methods for partial differential equations and related problems from different applications including semiconductor devices.

Qualifications / Discipline:  
•    PhD in Mathematics or applied science or equivalent

Skills:  
•    Modelling and simulation, computational science and engineering, scientific machine learning, etc. 

Experience:   
•    Research experience in modelling and simulation, and computational science and engineering including semiconductor devices.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Quantum-Engineering%29/33413-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Fellow to join our growing team developing next-generation electrical interfaces to diamond quantum sensors based on nitrogen-vacancy (NV) centers. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods.

The research will combine semiconductor device physics, quantum sensing, spin-dependent transport, and diamond electronics, with opportunities to explore hybrid platforms involving two-dimensional materials, field-effect devices, and advanced electrical detection techniques.

Key Responsibilities

•    Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting and controlling NV-center spin and charge states, including device design, fabrication, and characterization.
•    Semiconductor device architectures: Explore p-i-n, Schottky, field-effect, and related device structures for integrating diamond defects with electrical readout and control platforms.
•    Spin-dependent transport and recombination: Investigate spin-dependent electrical, optical, and recombination processes in diamond and related defect systems for quantum sensing applications.
•    Diamond–hybrid devices: Develop hybrid device architectures incorporating diamond with novel and/or CMOS-compatible materials, including graphene, silicon nitride, or other functional layers for electrical transduction.
•    Device modelling and simulation: Model carrier transport, charge-state dynamics, photoelectric processes, recombination pathways, and electrostatic device behaviour to guide experiments and optimize device performance.
•    Team collaboration and mentorship: Work closely with PhD students, research engineers, and undergraduate researchers while contributing to the growth of a multidisciplinary research programme.
•    Cross-disciplinary exploration: Engage with applications spanning quantum sensing, integrated electronics, semiconductor diagnostics, quantum materials, and bioelectronic sensing.

What We Offer
•    Opportunity to pioneer new approaches to electrical quantum sensing and spin-based technologies in diamond.
•    Access to state-of-the-art facilities for diamond characterization, device fabrication, optics, microwave engineering, and electrical measurements.
•    Freedom to pursue ambitious and innovative research directions at the intersection of quantum technology, semiconductor electronics, and advanced sensing.
•    Participation in building a new research programme from the ground up, with significant opportunities for intellectual leadership, technology development, and independent project ownership.
•    Strong emphasis on translation beyond academic publications, including the development of enabling technologies, prototype systems, intellectual property, and real-world sensing applications.
•    Opportunities to contribute to patent generation, technology commercialization, industry partnerships, and potential future spin-out ventures arising from the research.
•    Exposure to a broad range of application areas, including semiconductor diagnostics, advanced manufacturing, quantum instrumentation, materials characterization, healthcare technologies, and next-generation sensing systems.
•    Collaboration with experts across quantum sensing, nanofabrication, semiconductor devices, materials science, photonics, and engineering.
•    Strong support for publishing impactful research while simultaneously pursuing technologies that can deliver tangible scientific, industrial, and societal benefits.

Job Requirements

Job Requirements
•    PhD in Physics, Electrical Engineering, Materials Science, Applied Physics, or a closely related field.
•    Strong background in one or more of the following:
     o   Semiconductor device physics
     o   Quantum sensing or spin physics
     o   Diamond defects and color centers
     o   Electronic transport measurements
     o   Semiconductor characterization techniques
•    Experience with electrical device fabrication and characterization, including Schottky diodes, p-i-n structures, FETs, or related semiconductor devices.
•    Familiarity with low-noise electrical measurements, RF electronics, lock-in techniques, impedance spectroscopy, capacitance measurements, or microwave spin-resonance methods.
•    Experience with carrier transport simulations, semiconductor modelling, finite-element analysis, or device design tools is advantageous.
•    Knowledge of NV centers, spin-dependent recombination, charge-state physics, PDMR, ODMR, or related quantum defect systems is desirable but not strictly required.
•    Experience with graphene, hBN, other two-dimensional materials, or hybrid quantum-semiconductor devices would be highly advantageous.
•    Strong publication record, scientific communication skills, and ability to work independently while contributing effectively within a collaborative team.
•    Open to Fixed Term Contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Biological-Sciences%29/33323-en_GB/?st=B5FA154F06D36FC5269C150E5001D81FCD76013F

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with A/P Lau On Sun on studying the production of stomata in plants under a project on Singapore Indoor Farming System.

The main responsibilities of the position include:
running a project in the lab where we aim to study the production and behavior of stomatal guard cells in plants. The work will involve the generation of transgenic plants, analyses of plant varieties and mutants, performing light and confocal microscopy, image analyses, and various in vitro and in vivo biochemical, molecular, and genomic analyses. The Research Fellow is also expected to mentor and train junior members in the lab.

Qualifications

PhD in Plant Molecular Biology, Cell Biology, Developmental Biology or related field.

Skills:
Expertise in basic and advanced molecular biology, biochemical, and genetic techniques in Arabidopsis and other relevant plant model systems (e.g. gene cloning, in vitro protein assays, protein-protein interaction, crossing and phenotyping plants, etc.) and microscopic analyses (e.g. light and fluorescent microscopy and imaging analyses).

Experience:
At least 4 or more years of related laboratory experience in molecular genetics in plants. Experience working with Arabidopsis and other plant species and have at least one submitted/accepted manuscript in reputable journals in relevant fields will be preferred.

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 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 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 work on Multimodal Intelligence. The role involves developing and advancing novel algorithms for emerging challenges in Multimodal Intelligence, including Multimodal understanding and generation. The candidate is also expected to mentor students, lead research projects, and contribute to grant proposal development.

Key Responsibilities:

• Conduct cutting-edge research and publish in leading conferences and journals

• Mentor and supervise students in research projects

• Contribute to the development of grant proposals

• Provide general support for lab activities

Job Requirements:

• PhD degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in computer vision, machine learning, and deep learning

• Good written and oral communication skills

• Experience in leading research projects

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

We regret to inform you 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 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 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 Assistant to work on world model. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in world model, Multimodal Large Language Models and Video Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in world model, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

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