Total 305 Junior Executive level Science / R&D / Research job vacancies

Key Responsibilities:

• Plan and execute experiments towards the research objectives of the team

• Document and maintain accurate and timely records of all work conducted

• Data analysis and reporting

• Contribute to formulating hypothesis, grant writing, publications in peer-reviewed journals and present research findings at conferences, seminars, and meetings

• Participate in weekly lab meetings

• Provide research support to other team members as required

• Contribute to laboratory maintenance, purchasing, and safety duties

• Contribute mentoring to more junior members of the team where required

• Contribute to an open, transparent and collegial team culture, collaborate both within the team as well as with external collaborators

Job Requirements:

• Diploma or Bachelor’s or Master’s degree in biological/biomedical sciences or related field (including veterinary sciences)

• At least one year research experience in a wet-lab environment

• Good written and oral communication skills

• Good interpersonal skills, ability to work independently as well as in a team

• Meticulous, with attention to details

• Excellent organizational and time management skills

• Ability to work collaboratively in a fast-paced environment

Desirable:

• Prior research experience in neuroscience preferred

• RCULA certification preferred

• Prior research experience with bioinformatics is advantageous

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-Assistant-%28Healthy-Longevity-TRP%29/29706-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) invites applications for a Research Assistant position in Dr Mohammad ALFATAH’s lab, part of Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab is dedicated to understanding the biology of aging and identifying geroprotective interventions to promote healthy longevity. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will work closely with Principal Investigator (PI) to support ongoing research projects focused on chemical (e.g., drugs, natural products, metabolites) and genetic interventions for neurodegenerative diseases, including Alzheimer’s disease. The role includes evaluating the efficacy of candidate interventions using cellular and disease models.

Main duties and responsibilities

1. Conduct cell culture, high-throughput chemical/genetic screening, and molecular biology experiments involving DNA, RNA, protein work, and multi-omics analyses.
2. Perform literature reviews, design experimental plans, and analyze data independently and reliably.
3. Manage general laboratory operations, including maintaining chemical and cell line inventories, tracking equipment, and supporting project-related administration.
4. Undertake any other related duties as assigned by the PI.

Qualifications

1. Bachelor’s degree and/or Master’s degree in Life Sciences, Biomedical Science, Molecular Biology, or a related discipline.
2. Prior laboratory experience, especially in cell culture and molecular biology techniques, is required.
3. Strong ability to work both independently and collaboratively, with a self-driven and proactive attitude and willingness to learn new skills.
4. Experience in bioinformatics, particularly with Python or R programming, is a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Clarinda Lim at clarinda_lim@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

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-Assistant-%28Department-of-Computer-Science%29/32322-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Natural Language Processing Group at the National University of Singapore invites applications for Research Assistants in the Department of Computer Science, School of Computing (SoC), in the research area of propaganda detection, which concerns automated detection of targeted and coordinated disinformation campaigns. The appointment is for a period of one (1) year.

Qualifications

The candidate should possess a Bachelor's or Master’s degree in computer science or a related discipline, with outstanding academic record. Strong programming skills (Python and PyTorch) and good command of English (both spoken and written) are also required. Candidates interested in pursuing a PhD degree in computer science are especially welcome to apply.

Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of three (3) referees.

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-Assistant-%28Psychology%29/32323-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Support a project on closed-loop prediction of voluntary action and pain withdrawal by programming and debugging BCI pipelines, integrating EEG/EMG/thermal stimulation systems, running experiments, analysing data, and preparing technical reports, presentations, and manuscripts.

Qualifications

Bachelor’s degree in computer science, engineering, neuroscience, psychology, or a related field. Strong programming skills required; ability to program in Python and C/C++ is a major advantage. Prior experience with EEG, brain-computer interfaces, signal processing, or real-time classification pipelines is highly desirable. Familiarity with advanced statistical analysis and the ability to translate analysis into clear presentations and written reports is required. Experience with tools such as OpenViBE, MNE, PyRiemann, MATLAB, or related frameworks would be advantageous. Strong debugging skills, attention to detail, and the ability to work independently in an interdisciplinary research environment are essential.

Job Summary

Support inquiry-based science learning by managing and maintaining science laboratories and learning environments, assisting teachers with practical lesson preparation, ensuring laboratory safety, and providing administrative and logistical support in a primary school setting.

Responsibilities

• Support inquiry-based learning by preparing materials and apparatus for science practical lessons and assessments
• Manage, operate, and maintain two science laboratories and related science learning environments such as the school garden and science corners
• Source, procure, and maintain an inventory of laboratory equipment and consumables
• Ensure laboratory safety by monitoring safe use of tools and potentially serving as a certified first aider
• Assist in classes, workshops, and events by providing logistical support and supervising safe laboratory practices
• Provide administrative support as assigned by the school
• Handle live specimens, including insects and chemicals, safely and responsibly

Required competencies and certifications

• NITEC Diploma or GCE ‘O’ Level Certificate
• At least 2 years of experience as a lab technician in a primary school

Preferred competencies and qualifications

• Proficiency in MS Office applications such as Word, Excel, and PowerPoint
• Good communication and interpersonal skills
  
  Working Hours:
• Mondays to Fridays: 7.00 am to 4.30pm, inclusive of 1hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

We are looking for a Research Assistant to support an AI-enabled battery recycling research project that advances sustainable energy and circular economy goals. The role will focus on developing data-driven models and decision tools to improve the efficiency, yield, and cost effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling operations can be more reliable, scalable, and environmentally responsible.

Key Responsibilities:

• Conduct literature review and problem scoping on battery recycling, including process routes such as hydrometallurgy, pyrometallurgy, and direct recycling.

• Build datasets from experiments, sensors, and public sources, and then perform data cleaning, labeling, and feature engineering for battery recycling tasks.

• Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions.

• Develop optimization and control methods for recycling resource management, such as reagent usage, temperature profiles, scheduling, and throughput, under safety and quality constraints.

• Support experimental coordination and analysis, including interpretation of characterization and assay results (as applicable), and then translate findings into model inputs and evaluation.

• Prepare technical reports, documentation, and research manuscripts, and also contribute to project presentations and meeting updates.

• Collaborate with the PI and team members, and coordinate with external partners when needed, to ensure milestones and deliverables are met.

Job Requirements:

• Bachelor qualification degree in Computer Science, Electrical Engineering, or related disciplines

• Strong research experience with a good track record of publications.

• Familiarity with machine learning and optimization, such as supervised learning, reinforcement learning, or constrained optimization.

• Good written and oral communication skills for preparing technical reports, presentations, and draft manuscripts.

• Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation.

• Competent in soft skills, such as problem scoping and analytical skills for experimental results interpretation.

• Interpersonal skill, such as good teamwork and collaboration skills to work closely with the PI, team members, and external partners.

• Entry level candidates are welcome to apply.

We regret to inform 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-AssistantResearch-Associate-%28Lymphoma-molecular-&-spatial-omics-profiling%29/32301-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Overview

The Department of Pathology at the National University of Singapore invites applications for a Research Assistant to join a multidisciplinary team studying haematolymphoid malignancies, with a focus on lymphoma. The lab integrates genomics, digital pathology, and advanced spatial platforms to advance biomarker discovery and pre-clinical testing of novel therapeutic agents. Your contributions will support improvements in diagnosis, prognosis, and therapeutic targeting for patients with lymphoma.

Key Responsibilities

• Perform experiments in cell culture and molecular biology to support translational research projects.
• Conduct protein and nucleic-acid workflows, including Western immunoblotting and DNA/RNA-based assays.
• Support genomics/epigenomics-related sample preparation and profiling workflows (e.g., DNA/RNA/methylome-related procedures) as required by project needs.
• Optimise protocols, troubleshoot experimental issues and maintain reproducible workflows.

Support role (administration and safety)

• Provide administrative support for research activities as needed.
• Support lab safety and compliance by maintaining records, following SOPs/biosafety requirements, and assisting with audits and safety training.

Qualifications

• Bachelor’s or Master degree in life sciences, biomedical sciences, biochemistry, or a closely related field from a well-recognised university.
• Hands-on experience with molecular biology workflows, preferably involving DNA/RNA extraction and QC, PCR/qPCR
• Strong organisational skills, attention to detail, and excellent written and oral communication.
• Ability to work independently and collaboratively in a diverse, interdisciplinary research environment.

Preferred (advantageous but not required)

• Familiarity with NGS and/or omics platforms (e.g., bulk RNA-seq, targeted sequencing panels, scRNA-seq, methylation or proteomics workflows)
• Willingness to learn bioinformatics and data analysis, with any prior exposure to R/Python, basic command-line, or analysis pipelines

What We Offer

• Training and mentorship in advanced spatial transcriptomics/proteomics, digital pathology pipelines, and reproducible research practices.
• Collaboration opportunities with pathologists, oncologists, and computational biologists.
• Opportunities for co-authorship on publications and conference presentations, commensurate with contribution.
• A supportive and inclusive lab culture focused on rigorous, patient-impactful science.

Representative Publications

• PMID: 38459052 (https://pubmed.ncbi.nlm.nih.gov/38459052)
• PMID: 35021606 (https://pubmed.ncbi.nlm.nih.gov/35021606)

Application Procedure:

• Curriculum vitae (including education, relevant experience, and a list of technical skills)
• Cover letter (briefly describe your fit, motivation, and earliest start date)
• Academic transcript(s) (unofficial copies accepted at application stage)
• Contact information for 3 referees

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

We are seeking a Research Assistant or Research Engineer I to support our research and testing initiatives in power electronics for medium-voltage grid-connected applications. These research efforts align closely with the university’s strategic goals toward building more sustainable societies.

Key Responsibilities:

• Design, implement, and tune digital control algorithms for power converters tailored for smart grid applications.
• Model and simulate control systems including stability analysis and optimization of control parameters for grid compliance and dynamic performance (e.g., under transient and fault conditions).
• Develop and implement firmware for embedded controllers to execute hard real-time control strategies for various power converters and grid interfaces.
• Develop test plans and conduct lab testing and real-time simulations (e.g., HIL) to verify control algorithms and validate system performance under various operating and fault conditions.
• Collaborate with senior engineers to integrate control systems into high-power high-voltage converter systems.
• Prepare comprehensive technical documentation, including design/test reports, control models, test results, and source code.
• Work closely with cross-functional teams including procurement, finance, and safety to support project delivery and compliance.
• Contribute to research proposals, research disseminations, and project deliverables.
• Support laboratory activities, including equipment maintenance, procurement, and administrative tasks.

Job Requirements:

• Bachelor or Master’s degree in Electrical Engineering, with a specialization in Power Electronics and its applications to renewable energy and power systems.
• Extensive experience in embedded C/C++ programming for hard real-time systems, including implementation of control algorithms on DSPs and FPGAs.
• 3–4 years of hands-on experience in VHDL/Verilog programming for FPGA-based control and signal processing applications.
• Strong understanding of digital control theory, loop tuning methods, and stability analysis for dynamic systems.
• Hands-on experience with HIL platforms such as OPAL-RT, RT Box, or Typhoon HIL for validating control systems under realistic operating conditions.
• Strong analytical, documentation, and communication skills, with the ability to work independently and collaboratively in adynamic, cross-functional teams, and fast-paced research environment.

We regret to inform 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-Assistant%2C-CTIC/32272-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Trusted Internet and Community (CTIC) at the National University of Singapore (NUS) invites applications for the position of Research Assistant (RA) under the CATOS project. The successful candidate will work closely with the research team on developing solutions to mitigate online harm. Interested candidates should have relevant background in MLLM and AI agents. The RA will assist in research design, implementation, experiments, and publications, contributing to advancing the state of the art in AI.

Responsibilities

• Conduct literature reviews and contribute to development of persona-adaptive intervention technology.
• Develop and implement persona-adaptive system and experimental pipelines (Python/PyTorch/GitHub/Linux, etc.)
• Support data collection, preprocessing, and analysis
• Collaborate with Professors, Research fellows, PhD students, and other research partners
• Assist in preparing research manuscripts, technical reports, and presentations
• Participate in project meetings and contribute to team discussions

Qualifications

• A minimum of a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields (Master’s degree preferred)
• Strong background in machine learning, natural language processing is an advantage
• Proficiency in programming (Python, PyTorch/TensorFlow, and related ML libraries)
• Research experience in relevant AI areas will be highly valued
• Strong problem-solving ability, analytical thinking, and ability to work independently as well as in a team
• Good communication skills (both written and verbal) in English

Terms and Conditions

• The appointment will be for minimum one year
• Remuneration will be commensurate with qualifications and experience, following NUS guidelines

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-Assistant-%28IDS-Urban-Intelligence-Integration-Framework-for-CityScan-Phase-2%29/32290-en_GB/

We regret that only shortlisted candidates will be notified.

Overview

We are looking to recruit a Research Assistant for the project “Urban Intelligence Integration Framework (UI²F) for CityScan Phase 2”, which will be hosted at the Institute of Data Science (IDS), National University of Singapore (NUS) and led by Prof Ng See Kiong. This project aims to advance urban analytics methodology through a novel urban intelligence integration framework.

Only shortlisted candidates will be notified. Please include links to your GitHub repositories showcasing your best project relevant to these topics in your CV/cover letters.

Job Description

Job Summary: The Research Assistant will support research and engineering activities for developing a novel urban intelligence integration framework with Foundational Multi-Scale Data Processing, Temporal Relationship Intelligence, and Intelligent LLM-Powered Social Simulation and Decision Support capabilities. You will help design, implement, and evaluate agentic AI approaches; build and maintain software prototypes and experimental testbeds; and assist with data, documentation, and stakeholder engagement. This role provides hands-on experience across AI research and practical deployment at IDS.

Responsibilities:

• Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in machine learning, artificial intelligence, and big data.
• Perform data engineering tasks including data cleansing and processing for analysis of real-world datasets.
• Assists with the editing and preparation of manuscripts, reports and presentations.
• Participate in presentations and demos for exhibiting work at appropriate events.

Requirements

• Bachelors or Masters in Computer Science with a focus in AI, Machine Learning and Big Data.
• Solid programming and application development skills (Python preferred) and experience with ML frameworks (e.g., PyTorch, TensorFlow) and modern development practices (Git, testing, CI/CD).
• Ability to develop robust systems and prototypes with fast turn-around.
• Possesses research background with ability to read and understand methodologies in research papers.
• Fluent in English and good team-player.
• Prior AI expertise with knowledge and interest in spatio-temporal foundation models and urban data analytics is preferred.

The National Institute of Education invites suitable applications for the position of Research Assistant on 8-month contract at the Centre for Research in Pedagogy and Practice.

Project Title: Developing Teacher competencies in Aesthetically-Infused Inquiry-Based Learning (AIIBL): An intervention to move IBL in Humanities and Arts to the next phase

Project Introduction: This Design-based Research (DBR) intervention aims to do the following: (1) To observe teacher professional learning through an iterative co-design and implementation of IBL curriculum units with teachers in Humanities and Arts primary and secondary schools using the AIIBL framework and determine areas to support growth and development; (2) To develop Humanities and Arts curriculum units’ AIIBL design to support the growth and development of students’ 21CC; and (3) To build a foundation for a theory of transference of learning and skills across domains by exploring the potentials of AIIBL for cross-disciplinary development of 21CC.

Requirements:

• Bachelor’s degree in Humanities or Arts, or related field
• Familiar with Qualitative and Quantitative Research
• Excellent writing skills
• Ability to synthesise diverse literature
• Good communication and presentation skills
• Project management skills
• Proficient in Microsoft Word, Microsoft Excel, SPSS, and NVivo
• Background in teaching, preferably in quantitative ethnography and arts
• Possess the willingness to learn and grow
• Inquirer, critical thinker
• Ability to work independently and collaboratively
• Organized, reliable, patient, and with strong initiative

Responsibilities:

• Conduct data collection and analysis to support research objectives
• Coordinate and manage project timelines and deliverables
• Report writing and contributing to academic publications and presentations
• Collaborate with CRPP colleagues to support cross-functional research initiatives
• 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.

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.

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

We are looking for a Research Assistant to carry out routine experiments in a cell biology laboratory, and be responsible for administrative and logistical upkeep pertaining to laboratory operations including procurements, overseeing health and safety management, and general lab organization.

Key Responsibilities:

• Support the general organization and operation of the lab

• Handle procurements and oversee health and safety management matters

• Work alongside PhD students and Research Fellows on research projects

• Conduct experiments independently and analyze experimental data at a high standard

• Give regular research updates in the form of internal group meetings

Job Requirements:

• BSc in Biology or related fields

• Prior lab experience in Mammalian Cell Biology (culturing of cells, transfection, etc.), Biochemistry (SDS-PAGE, Western Blotting), immunohistochemistry (sectioning and staining), fluorescence light microscopy (immunofluorescence, confocal microscopy, etc.), mouse work (metabolic phenotyping).

• Team-work attitude

• Excellent Organizational skills

• Resourceful and a self-starter

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 11-month contract at the Natural Sciences and Science Education department.

Project Title: Understanding the Current Status and Impacting the Future of Singapore STEM Education Landscape: A Multi-Stage, Multi-Year Evaluation Study

Project Introduction: meriSTEM@NIE is a research centre of NIE. meriSTEM@NIE is looking for one Research Assistant to support funded projects managed by the Centre. meriSTEM@NIE will be collaborating with STEM education stakeholders (policy makers, university faculty and teachers) locally and regionally to expand STEM education capabilities in the areas of instructional implementation, as informed by research. The projects will entail co-developing deeper understandings of STEM education and co-constructing a common STEM Instructional Framework to guide STEM teacher professional development, integrated STEM lesson implementation, and comparative research. The period of contract will be 11 months (with possible extension), and the Research Assistant is expected to take charge of all the major activities of the projects managed by the Centre.

Requirements:

Essential

• Bachelor’s degree in sciences or social sciences

• Experience with data collection (qualitative and quantitative)

• Excellent written and spoken English

• Good analytical and critical thinking skills

• Good organizational skills, shows initiative to plan and anticipate work needed to be done

• Dynamic and shows positive work attitude

• Outstanding interpersonal skills and ability to work in a team

• Proficient in Microsoft Office Applications

• Proficient in simple statistical analysis (e.g., WinSTEP, SPSS, excel, etc.)

• Experience liaising with policy makers and education leaders

• Ability to work independently with minimum supervision within tight deadlines

Preferred

• At least one year of working experience in international organizations and/or education contexts

• Experience in planning and coordinating small and large-scale events (e.g., conferences, symposiums, etc.)

• Experience in writing for news, magazines, curriculum materials, and/or professional and academic publication

• Positive work attitude (able to work in a team and value-add to the project)
  

Responsibilities: 

• Liaison with local and international partners

• Organisation of meetings and large-scale events

• Lead, coordinate, and develop other team members

• Research-related data design, collection and analysis

• Report and professional publication writing

• All other project work that further meriSTEM@NIE ‘s mission, 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 Requisition ID: R00023938

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Natural-Sciences-and-Science-Education-Department---NIE-_R00023938)

Closing Date

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

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-Assistant-%28PLSE%2C-Software-Security%29%2C-School-of-Computing/32279-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.
 
The successful candidates will be responsible for working closely with the incoming Assistant Professor Dr. Chengpeng Wang (https://chengpeng-wang.github.io/) and lab members on one or more research projects in the area of intelligent code auditing. He/she should possess experience or interest in at least one of the following research areas:

• Software Engineering
• Programming Languages
• Software Systems Security

Only shortlisted candidates will be notified.

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research in program static analysis, testing, or verification.
• Candidates with publications in top-tier conferences in Software Engineering, Programming Languages, or Security are preferred
• Familiarity with program analysis frameworks such as LLVM, Soot, etc., is preferred

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-Assistant%2C-School-of-Computing/32284-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Information Systems and Analytics, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We are seeking a Research Assistant (RA) with strong analytical and organizational capabilities to support ongoing research projects. The RA will play a dual role involving both data-driven research support and active project management across multiple initiatives within the lab.

On the technical side, the RA will assist in processing and preparing semi-structured and large-scale datasets for econometric and analytical work. This includes implementing and adapting algorithms, ensuring data quality, and supporting empirical analysis. The candidate will gain exposure to proprietary datasets and real-world business problems, contributing to research at the intersection of academia and practice.

In parallel, the RA will be responsible for coordinating multiple research projects, managing timelines, and liaising with technical and non-technical stakeholders. This includes ensuring smooth execution of project milestones, facilitating communication across collaborators, and maintaining accountability across workstreams.

The role also provides an opportunity to contribute to the development of new research ideas and projects. Subject to contribution and performance, the RA may be considered for co-authorship in academic outputs, with appropriate attribution to the lab.

This position is well-suited for candidates with a strong interest in pursuing doctoral studies and developing a rigorous research profile.

Qualifications

• A Bachelor’s degree in computer science, or related fields
• Strong background in data analysis, statistics and econometrics
• Proficiency in at least one programming language (e.g., Python, R, or similar)
• Experience working with large and/or semi-structured datasets
• Demonstrated ability to manage projects, timelines, and multiple stakeholders
• Strong organizational and communication skills
• Technical maturity and ability to engage with both data and systems-level problems
• Ability to work independently while coordinating across teams
• Prior experience in research assistance, data analysis, or project coordination is preferred
• Demonstrated interest in academic research and intention to pursue doctoral studies is highly desirable