Total 315 Junior Executive level Science / R&D / Research job vacancies

Location: Punggol
Period: 17 Aug 2026 to 16 Aug2028
Salary: $2200 per month
Working hour:  Mondays to Thursdays: 7:30am to 4:30pm, inclusive of 30min lunch break; Fridays: 7:30am to 4:00pm,inclusive of 30min lunch break

a. Management of resources

• Regular Inventory management in Science Labs includingstock-take, replenishing, repairs and replacement
• Assist HOD (Science) to liaise with vendors inprocurement for inventory management in Science Labs
• Organise resources neatly with name labels in the Science Labs
• Assist the teacher to facilitate student discussions
• Tidying up of Science Labs

b. Preparation of resources

• Co-ordinate loan request from teachers in the ScienceLabs
• Preparing and set up of resources according to scheme of work & specifications given by teachers in the Science Labs
• Printing and photocopying jobs in the Printing Room
• Preparation of teaching aids

Administrative duties:

• Assist with other ad-hocadministrative duties and preparation of resources for the Authority asrequired by the school and/or department

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All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Chee Yung Chen (Zack) - R23112910
ScienTec Consulting Pte Ltd – 11C5781

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-%28Computer-Systems%2C-Machine-Learning%29%2C-School-of-Computing/32568-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 Jiang Wenqi, and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Machine Learning Systems
• Computer Systems
• Computer Architecture
• Databases

Only shortlisted candidates will be notified. 

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research
• Solid background in computer systems, machine learning, or related areas

Job Summary

You will support daily warehouse operations by receiving, checking, storing goods, picking and packing orders, maintaining stock accuracy, and ensuring a clean and safe warehouse environment.

Responsibilities

• Receive, inspect, and store incoming goods accurately to maintain inventory integrity
• Pick, pack, and prepare orders efficiently for timely delivery
• Organize stock systematically to ensure inventory accuracy and easy retrieval
• Maintain cleanliness and safety standards within the warehouse environment
• Perform manual handling tasks such as lifting and carrying goods safely
• Work independently and responsibly to complete assigned warehouse duties

Preferred competencies and qualifications

• Prior warehouse experience to enhance operational efficiency
• Able to understand and communicate in Chinese
• Basic understanding of English to support communication
• Physically fit to perform manual handling tasks

Other Information

Benefits:

• Bonus provided
• Annual leave
• Medical benefits

Working Location: Singapore (East)

Working Hours:

• Monday to Friday: 9:00 AM – 6:00 PM
• Saturday: 9:00 AM – 1:00 PM
• 5.5-day work week with 1 Saturday off per month

Salary: Negotiable

我们正在招聘一名可靠的仓库管理员，负责日常仓库运作。

工作职责：

• 接收、检查及整理入库货物

• 拣货、包装及准备出货订单

• 维护库存整齐及准确性

• 确保仓库整洁与安全

• 完成其他相关仓库工作

职位要求：

• 具备仓库管理经验者优先

• 略懂英文者优先

• 体格强健，能够胜任体力工作

• 工作认真负责，能独立完成任务

福利待遇：

• 享有花红

• 年假

• 医疗福利

工作地点： 新加坡东部

工作时间：

• 星期一至星期五：上午9点至下午6点

• 星期六：上午9点至下午1点

• 每周工作5天半

• 每个月休息一个星期六

薪金： 可商议

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Assistant or Research Associate to support ongoing projects in biostatistics, bioinformatics, computational biology, artificial intelligence (AI), and multi-omics data analysis.

The successful candidate will join an interdisciplinary team developing statistical, computational, and AI-driven approaches to analyse complex biomedical data. Research areas may include bulk and single-cell omics, spatial transcriptomics, proteogenomics, and integrative AI models to advance understanding of complex human diseases.

Depending on experience and training, the candidate will contribute to data analysis, model development and implementation, literature review, interpretation of results, and coordination of research activities.

Key Responsibilities:

• Assist with data cleaning, management, processing, and analysis of biomedical and omics datasets.
• Support the implementation, testing, and application of statistical, computational, or AI-based methods.
• Contribute to the development, evaluation, and interpretation of statistical or AI models under supervision.
• Conduct literature reviews and summarise key research findings.
• Prepare tables, figures, presentations, and written summaries of research results.
• Collaborate with interdisciplinary team members, including biostatisticians, clinicians, biologists, students, and research staff.
• Contribute to the preparation of manuscripts and reports, as appropriate.
• Provide support for project coordination and routine administrative tasks, including scheduling meetings, organising materials, tracking timelines, and preparing documentation for reports or submissions.
• Maintain accurate and organised research records and documentation.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s or Master’s degree in Biostatistics, Statistics, Bioinformatics, Computational Biology, Data Science, Computer Science, Artificial Intelligence, Life Sciences, or a related field.
• Strong foundation in statistical modelling, machine learning, or high-dimensional data analysis.
• Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred.
• Proficiency in R, Python, or similar programming languages.
• Ability to work both independently and collaboratively in a research environment.
• Prior exposure to genomics, transcriptomics, single-cell, imaging, or other biological datasets is advantageous but not required.

We regret that only shortlisted candidates will be notified.

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Assistant (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

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.

Key Responsibilities:

• Expected to work closely with the PI and other team members to carry out research activities, including identifying promising research directions, conducting experiments, documenting research findings, and presenting these findings to the broader community.

• Expected to provide feedback and assistance to other team members and contribute to the overall growth of the team.

• Additional responsibilities include supporting team operations and proactively taking on new tasks when necessary to facilitate the team’s development.

• The candidate may also have opportunities to supervise junior researchers when appropriate.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

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.

Key Responsibilities:

• Lead experimental wet-lab efforts to scale up high-throughput screening of RNA therapeutics.

• Design and conduct chemical synthesis and analysis to generate high-quality datasets for training AI models.

• Mentor junior research lab members in experiments.

• Collaborate with a multidisciplinary team of researchers, including AI scientists and engineers.

• Stay current with advancements in RNA therapeutics innovation, contributing to the evolution of our methodologies.

• Participate in regular meetings and present findings to academic and industry stakeholders.

Job Requirements:

• Bachelor’s degree in Chemistry, Chemical Engineering, Pharmaceutical Sciences, Biochemistry, or a related field.

• Strong background in organic chemistry, medicinal chemistry and hands-on experience with wet-lab techniques (e.g., chemical synthesis and analysis, high-throughput screening) is preferred.

• Demonstrated interest or experience in RNA therapeutics and high-throughput innovation.

• Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

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-%28Sustainable-Design%29/32638-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant will contribute to the development of a focused research study that builds on prior exploratory work and advances new lines of inquiry. The role involves synthesising existing material, extending analysis through targeted investigation, and working closely with supervisors to refine frameworks, arguments, and outputs into a coherent final report.

Qualifications

•    The applicant should have a background in architecture and/or urban design/ urban planning.
•    The applicant should have completed graduate studies (i.e both Bachelors and Masters)

•    The applicant should have previous experience of 1-2 years in the field of design/ planning / research.

•    The applicant should demonstrate strong design and research capabilities, with an ability to link architectural form to broader urban, environmental, and infrastructural systems

•    The applicant  should have a working understanding of carbon in the built environment, including its estimation and representation across scales.
•    The applicant should be proficient in synthesising complex information into clear insights, with strengths in analytical thinking, writing, and visual communication.

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-%28Dept-of-Physiology%29/32642-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “Novel Therapeutics for Genetic Epileptic Encephalopathies.” in the Healthy Longevity TRP, Yong Loo Lin School of Medicine. Appointments will be made on a 12 months contract basis.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator to conduct the experiments and analyze and present data.

Main duties and responsibilities

The Research Assistant (RA) will liaise with relevant hospital personnel to facilitate participant recruitment and data collection and will be accountable to the Principal Investigator (PI). The RA will be responsible for the following:

1. Overseeing the general day-to-day management of the research project.
2. Drafting and coordinating submissions to the Institutional Animal Care and Use Committee (IACUC).
3. Performing tissue culture and molecular biology experiments.
4. Conducting patch-clamp electrophysiology experiments.

Qualifications

The successful applicant should meet the following criteria:

a. Possess a bachelor’s degree with good academic standing (B.Sc. or equivalent) in life sciences or a related discipline.
b. Have hands-on experience with rodent models, cell culture, and molecular biology techniques.
c. Demonstrate the ability to work independently as well as collaboratively within a team, with strong investigative skills and attention to detail.
d. Be proficient in common computer applications, including Microsoft Office and PowerPoint.

Remuneration will be commensurate with the candidate’s qualifications and experience.

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 research assistants to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning systems, with applications to various robotic systems.

Key Responsibilities:

• Conduct research in the area of control theory and machine learning

• Conduct experiments on different robotic platforms

• International collaborations in the above areas

• Publish papers in related top journals and conferences

Job Requirements:

• Bachelor’s degree in control theory, machine learning, robotics, or related field

• Familiarity with nonlinear systems and control theory/state-of-the-art machine learning systems (diffusion, transformers, etc.)/robotics.

• Good written and oral communication skills

• Proficiency in programing (e.g., Python) and machine learning tools (e.g., PyTorch)

• Entry level candidates are welcome to apply

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

Job Scope:
Science Lab:

1. General cleaning of labs (mainly wiping of benches, keep walkways and work areas clutter-free and clean, disposal of rubbish bins in the labs)
2. Clean and maintain science laboratory apparatus, equipment and materials
3. To do simple preparation based on the instructions of STEM instructors (SI) such as cutting litmus papers, laying out and keeping of apparatus.
4. For Preliminary Examinations, to also assist SIs to do simple preparation.
5. Do general cleaning of laboratories to prepare for the start of the new school term.

Operations: (06.45am to 12pm)

1. Responsible for the cleanliness of classrooms, special rooms, staff rooms, school commonareas and General Office.

2. Supporting school to providelogistic support for special events and daily activities, ensuring thevenue/room is properly set up in advance.

3. Attend to logistics formeetings and events (setting up and clearing up of venue).

4. Responsiblefor the security of classrooms, offices and common areas in the school by locking and unlocking doors, windows and shutters.

5. Assist the Operations Manager in basic facilities management and maintenance. Conductregular checks on facilities, escorting of Term Contractors, Pest Controllers and reporting faults to the Operation Manager.

6. Daily Checking of areas under their charge to ensure areas are well maintained.

7. Any other duties assigned by School Leaders/Operational Managers/Admin Managers.

*Please note that the school is 4-storey high, with no lift facility.

Requirements:

• Preferably a PSLE certification
• Has prior experience of operational work or school laboratory in schools.
• Good communication and written skills

Working Hours: Mondays to Fridays: 6.45am to 3.45pm
Contract Period: 25 May 2026 to 30 November 2026
Salary: $1980-$2200/month

Location: Sengkang

EA License No.: 96C4864

Reg No.: R26159658 BRANN LEONG CHUN HOE

General Scope of Work:

a) Supporting the implementation process of research study on the effectiveness of the SPED Teaching and Learning Syllabuses

b) Recording, analysing and evaluating data relating to the research study and stakeholder engagement sessions

c) Providing support for syllabus implementation in SPED schools

d) Conducting literature reviews to support syllabus implementation in SPED schools

Assistant Professor Position in Computing Science(Singapore)

COLLEGE OF SCIENCE & ENGINEERING

SCHOOL OF COMPUTING SCIENCE

Learning, Teaching and Scholarship

Grade7/8

Competitive Salary

Job Purpose

Full-time position in Singapore to deliver teaching on the BSc degree programme in Computing Science offered jointly by the University of Glasgow (through the University of Glasgow Singapore (UGS)) and Singapore Institute of Technology (SIT); to engage in scholarship in order to contribute to the advancement of the discipline and/or its teaching practice at course, degree programme, school, institution, profession and national levels; and, to undertake administrative and management tasks associated with University of Glasgow Singapore activities. The required areas of expertise for thisposition are: (1) Artificial Intelligence and Deep Learning (2) Operating System (3) Programming. Additionally, knowledge of Software Engineering is desirable.

UGS is a subsidiary of theUniversity of Glasgow that works in partnership with SIT. Its mission is to:

·      deliver undergraduate Honours degree programmes to the same high standard as those of University of Glasgow in the UK for a high quality education that equips students for a lifetime career as leaders in industry and commerce

·      provide PhD and professional development training in support of industry in Singapore

·      develop research and development collaboration with industry and other organisations in Singapore

·      engage with the research community in Singapore and developing links with research groups on the Glasgow campus

·      establish and promote its multidisciplinary research portfolio in an international context and fully engage with societal changes as identified by major international funding bodies.

This post is based at the Punggol campus of SIT in Singapore and from time to time, you may be required to work at a different campus. There is a requirement to visit the UK annually for induction and personal development activities as appropriate.

Note: This job description is for the ‘Learning, Teaching and Scholarship’ track.

Main Duties and Responsibilities

1. Take a leading role in the planning, organisation, delivery and assessment of undergraduate teaching activities in computing science and engineering within UGS, in a manner that supports an enhanced student learning experience.

2. Collaborate with colleagues at the University of Glasgow and SIT to ensure coherent delivery of the degree programmes at UGS.

3. Participate fully in assessment and examination processes using a variety of methods, as appropriate, and provide feedback to students that is relevant, timely and supports learning.

4. Supervise and oversee individual and team student projects.

5. Contribute as appropriate to the Overseas Immersion Programme (OIP) taught at the Glasgow campus during the summer.

6. Engagement in scholarship: attendance and participation in seminars / conferences within subject area and in relation to teaching practice. Ensuring that teaching practices are of the highest standard relative to international best practices.

7. Work with colleagues in Glasgow and Singapore to develop joint teaching and learning projects and to secure the funding required to underpin the long-term growth of teaching and learning innovation.

8. Disseminate scholarship of teaching and learning (SoTL) through publications in journals and presentations at national and international conferences, enhancing the reputation of the University of Glasgow Singapore.

9. Engage in professional development activities as appropriate and in external academic and professional activities to enhance the reputation of the University of Glasgow Singapore.

10. Contribute to the administrative and management duties of the University of Glasgow Singapore, as allocated by the UGS Director and/or the UGS Computing Science Programme Director.

Knowledge, Qualifications, Skills and Experience

Knowledge/Qualifications

Essential:
A1 A good Honours degree in a relevant discipline

A2 PhD, or the equivalent professional qualifications and experience in computing science with previous personal development in a similar or related role(s)

A3 Experience in teaching coursesin Programming, Software Engineering, Machine Learning, IoT, Data Analytics, Algorithms and Programming

A4 Comprehensive and up to date knowledge of developments in teaching, learning and assessment practices
A5 Experience in teaching in the areas of expertise listed above and/or related subject areas
A6 Evidence of innovation in teaching methods.

A7 Willingness to work in Singapore to deliver this role, subject to working and residency permissions.

Skills

Essential:

C1 Proven track-record of effective teaching at undergraduate and/or taught postgraduate level

C2 Excellent team leadership skills including demonstrable supervisory skills

C3 Appropriate workload/time/project/budget/people management skills

C4 Excellent interpersonal skills including team working and a collegiate approach

C5 Excellent communication skills(oral and written) in appropriate range of contexts

C6 Strong problem solving skills including a flexible and pragmatic approach

C7 Ability and willingness to take on appropriate administrative duties within UGS

C8 Ability to provide strategic contribution within UGS and at School level

C9 A commitment to high quality teaching practices
C10 Ability to disseminate conceptual and complex ideas to a wide variety of audiences to promote understanding

Desirable:
D1 Experience and specialist knowledge in innovative approaches to assessment and feedback in HE

Experience

Essential:

E1 A demonstrable, excellent teaching track record
E2 Experience of developing and maintaining innovative teaching practices.
E3 Experience in designing and developing undergraduate and/or postgraduate taught courses
E4 An excellent track record of performing administrative duties in a HE institution
E5 Track record of student supervision

Job Features

Dimensions

1. Undertake teaching in accordancewith the University of Glasgow Singapore workload.
2.  Organise and mark student assessments (coursework and examinations).

3. Supervise and assess individual and team student projects.

4. In collaboration with colleagues, develop plans for SoTL and submit appropriate grant proposals.

5. Publication of papers in relevant leading international journals and presentations at conferences.
6. Administrative tasks as assigned by the UGS Director and/or UGS Computing Science Programme Director.

Planning and Organising

1.  Weekly/monthly/annually – planning and preparation of taught courses.

2. Weekly/monthly – SoTL activities of self or research staff.

3. Monthly/annually SoTL grant application writing and submission with colleagues.

4. Plan and organise administrative duties on an ongoing basis.

5. Reactive – daily queries from students/staff.

6.  Effective organisational skills to manage time and to prioritise appropriately teaching, SoTL and administrative duties.

Decision Making

1. Manage curricula, intended learning outcomes, course content and assessment methods for undergraduate courses.

2. Plan grant submissions supporting inquiry on teaching and learning, including development of collaborative activities.

3. Choice of journals, conferences and other media for dissemination of SoTL outcomes.

4. Prioritise own work.

5. External involvement including collaborations, refereeing applications and papers, journal editorships

Internal/External Relationships

Internal
1. UGS Director and/or UGS Computing Science Programme Director for exchange of information, learning and teaching strategy and research strategy.

2. Academic colleagues for information exchange to facilitate teaching and learning innovation.
3. Undergraduate students – to enhance student learning.

4. Administrative staff within both UGS and SIT for exchange of information relating to student progress and support, etc.

External
6.   Staff at SIT for information exchange to facilitate effective teaching and to support students.
7.  Academics at other universities ororganisations to develop and maintain national and international collaborations.

8. Funding bodies and industry to maximise potential for funding scholarship and teaching innovation.
8.  Scientific, educational or professional organisations to maintain external links and undertake professional activities.

Problem Solving

1. Act as a first point of contact for problems/enquiries from undergraduate on issues relating to taught courses and individual projects.

2. Academic research, experimental design and associated problem solving.

Standard Terms& Conditions

AssistantProfessor: Competitive salary will commensurate with experience and agreed on appointment.

Enquiries can be directed to the Director of University ofGlasgow (Singapore), Prof Cindy Goh (Cindy.Goh@glasgow.ac.uk) or the ProgrammeDirector of Computing Science, Associate Prof Chee Kiat Seow(cheekiat.seow@glasgow.ac.uk)

The successful candidate will be employed by UGlasgow Singapore Pte Ltd, a wholly owned subsidiary company of the University of Glasgow.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-School-of-Computing/32553-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.

We invite applications for a Research Assistant position focused on AI-driven Identity & Access Management (IAM) and Cybersecurity. The successful candidate will work on advanced AI systems for identity security, addressing challenges in anomaly detection, adaptive authentication, and explainable threat intelligence. 

Key Responsibilities:

• Design and develop AI-driven models for identity security and access-control analytics.
• Build generative modeling pipelines (e.g., GANs, diffusion models) to synthesize realistic malicious or anomalous login behaviors for robust model training.
• Implement anomaly detection and adaptive decision systems for real-time IAM defense.
• Engineer edge-native AI modules for adaptive multi-factor authentication and token validation on resource-constrained platforms.
• Develop explainable AI pipelines, including retrieval-augmented generation (RAG)–based systems that justify access decisions.
• Integrate models into end-to-end systems spanning edge devices, containers, and cloud platforms.
• Conduct experimental evaluation, benchmarking, and system-level testing.
• Contribute to research publications, technical reports, and prototype deployments.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Strong programming proficiency in Python and C/C++.
• Solid understanding of machine learning, data analytics, and system security fundamentals.
• Experience or strong interest in cybersecurity, IAM, or authentication systems.
• Experience with generative AI techniques (GANs, diffusion models) for data synthesis.
• Familiarity with edge AI deployment and optimization (e.g., NVIDIA Jetson, ARM platforms).
• Experience with containerized or cloud-native systems (Docker, Kubernetes).
• Knowledge of model optimization and deployment frameworks (TensorRT, ONNX).
• Exposure to cloud platforms such as Google Cloud Platform (Vertex AI, BigQuery).
• Interest in explainable AI, security analytics, or AI-assisted decision support systems.
• Familiarity with tabular data modeling, anomaly detection, or security-log analysis.
• Experience with Linux environments and version control tools (e.g., Git).
• Strong analytical thinking, problem-solving skills, and research motivation

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an Office Administrative Assistant. This role is based in Singapore, reporting to our SG Office Manager. In this role you will be responsible for supporting all aspects of our growing team of traders, researchers, and technologists. The role will suit an individual who is self-motivated and is able to adopt a methodical, logical, and creative approach to new challenges.

Responsibilities:

• Greeting visitors
• Managing meeting room bookings
• Answering and directing phone calls
• Ordering office and pantry supplies
• Upkeep of office tidiness
• Booking and managing travel arrangements
• Coordinating onboarding setup for new hires
• Assisting overseas visitors (seating, access, etc)
• Coordinating office meals
• Assisting in special events (office outings, trainings, etc)
• Assisting in office renovation projects

Requirements:

• 10-15 years of experience in administrative support or similar roles in a large and established organisation  
• Excellent organisational and time management skills, with the ability to multitask and prioritise effectively  
• Strong written and verbal communication skills 
• Proficient in Microsoft Office Suite and other relevant software tools 
• Ability to handle confidential information with integrity and discretion 
• Self-motivated, with the ability to work independently with minimal supervision  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.