Total 2,238 Others level Science / R&D / Research job vacancies

The School of Social Sciences (SSS) at Nanyang Technological University, Singapore (NTU) invites suitable applications for the position of Research Fellow (Psychology/Education) on a 24-month contract basis, renewable subject to performance and project needs.

Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS)

Project Introduction: The PATHS study is a Ministry of Education (MOE)-funded longitudinal investigation tracking 500–600 Primary 1 students enrolled in the Learning Support Programme (LSP) and/or Learning Support for Mathematics (LSM) across 20+ Singapore primary schools. Using person-centred analytic models, the study identifies heterogeneous learner subgroups across cognitive, literacy, mathematical, and socio-emotional domains, and examines how these profiles evolve and predict academic outcomes. Findings will inform more targeted, evidence-based support for low-progress learners.

The Research Fellow will lead day-to-day project operations, manage the research team, oversee data collection and analysis pipelines, and contribute to research outputs, under the supervision of the Principal Investigator, and in close collaboration with Co- Principal Investigator s at NTU, NIE, and MOE.

Key Responsibilities:

• Lead project coordination across schools and multiple institutional stakeholders across four data collection waves

• Liaise with MOE, school principals, Co- Principal Investigators, and an international consultant; contribute to study materials and data management systems

• Prepare and update ethics applications

• Oversee participant recruitment

• Supervise Research Assistants and part-time student assistants in administering psychoeducational assessments

• Develop and execute quantitative data analysis pipelines (Mplus, R)

• Prepare research progress reports, policy briefs, presentations, and manuscripts for peer-reviewed journals

• Perform administrative and procurement tasks as required by the Principal Investigator

Job Requirements:

Essential:

• PhD in Psychology or a closely related field from a university of good standing

• Strong quantitative skills with knowledge of advanced statistical methods; proficiency in Mplus, R, and SPSS/jamovi/JASP

• Experience preparing ethics documentation and managing multi-site, school-based research

• Excellent written and spoken English; ability to prepare manuscripts and stakeholder reports to a high standard - essential for data analysis and communication with stakeholders

• Strong leadership and supervisory skills; self-directed and able to manage competing priorities

Preferred:

• Familiarity with psychoeducational assessment instruments used with young children

• Prior experience conducting school-based research, particularly with Primary-level students

• Track record of peer-reviewed publications

• Knowledge of Singapore's primary education system is an advantage

We regret that only shortlisted candidates will be notified.

We are seeking a Research Fellow to join a university-level research centre collaborating with industry. The role will be involved in a project that is related to object detection.

Key Responsibilities:

• To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable.
• Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICLR, ICCV, ECCV, NeurIPS, ICML.
• Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Strong background in R&D with self-motivation and initiative. Ability to develop and manage R&D projects with good understanding of industrial needs.
• Strong research and technical expertise in the project domain, including experimental design, modelling methods, prototype system engineering, and laboratory work, with a demonstrated ability to conduct innovative and hypothesis-driven research.
• Collaborative and supervisory capabilities, including assisting in postgraduate supervision, initiating multidisciplinary research collaborations, and overseeing and reporting project progress.

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

Join Our Dynamic Team as a Project Engineer!

Are you with a passion for engineering and a drive to make a difference? Do you thrive in dynamic environments where innovation and collaboration are key? If so, we invite you to embark on an exciting journey with us!

We are seeking a highly motivated Engineers to join our team and contribute to our mission of innovation and excellence. As an Engineer, you will have the opportunity to work on a variety of projects spanning across different facilities, collaborating with experienced professionals and utilizing the latest technologies.

Key Responsibilities:

• Executes and supports ACMV project tasks; focuses on technical and site coordination.
• Technical execution, site supervision, drawing review.
• Assists in preparing work schedules and material plans.
• Reviews and interprets ACMV drawings/specifications.
• Liaises with subcontractors and site supervisors.
• Prepares material requisitions and follows up on delivery.
• Conducts daily inspections; ensures installation per drawings.
• Supports T&C activities and prepares reports.
• Prepares daily/weekly reports and documentation (drawings, materials).
• Tracks material usage and assists with cost estimation
• Ensures site works meet local codes and specifications.
• -Reports to Senior Engineer / Project Manager.

Qualifications:

• Diploma / Bachelor's degree in Engineering or related field
• Relevant experience in ACMV / M&E industry is preferred
• Basic knowledge of ACMV systems (chillers, AHUs, FCUs, ventilation fans), equipment sizing, heat loads, and local codes/standards (ASHRAE, Singapore building codes, Green Mark etc).
• Proficiency in MS Office, AutoCAD/shop drawing tools
• Good communicator, able to coordinate among multiple stakeholders, proactive, self-driven.
• Ability to handle multiple projects, fast-paced environment, willing to work extended days when required.

Company Overview:
For over 10 years, we’ve been shaping Singapore’s construction landscape with one mission: building a greener, smarter tomorrow. As ACMV specialists, we design energy‑efficient systems that cut carbon footprints and make spaces cleaner, healthier, and future‑ready. Our team is curious, passionate, and driven to push boundaries—every project is a chance to leave a lasting impact.

Why You’ll Love It Here

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-Scientist-%28A%29-%28Antenna%29/32449-en_GB/?st=BB5F61A45E99383B7A1DDAC3181814DE48961399

We regret that only shortlisted candidates will be notified.

Job Description

Applicants are invited for the position of Research Scientist to participate in research on high-performance antennas.

A successful candidate is required to be engaged in research on high-performance antennas.

Qualifications

The applicant should possess the following:

• Doctoral degree in electromagnetic-related field. (Candidates who have submitted PhD thesis are welcome to apply.)
• Experience in antenna and microwave circuit designs.
• Proficiency in using HFSS or CST for modeling and simulation, and VNA for measurement is required.
• Ability to work independently and good communication skills are essential.

Only shortlisted candidates will be contacted.

About the company
Our client is a Global Fortune 500 financial services group. With an "A" rating for financial strength, they combine deep-rooted heritage with a forward-thinking approach to product innovation. Currently in an exciting phase of expanding their Life Insurance portfolio, specifically targeting the High-Net-Worth (HNW) and Investment-Linked segments. Employees here enjoy a stable, professional environment that prizes technical excellence and offers a clear pathway for career progression within a collaborative actuarial team.

About the job
Joining a high-performing Actuarial Pricing team, you will play a pivotal role in the end-to-end development of innovative life insurance solutions. This role is a blend of technical rigor and strategic influence, focusing on the design and pricing of sophisticated wealth management products.

• Calculate the costs and risks for new insurance plans to ensure they are both profitable for the company and attractive to customers.
• Build and run financial models to predict how products will perform under different market conditions.
• Prepare the necessary documentation and reports for management and local regulators to get new products approved.
• Review competitor products and market trends to help the company stay competitive.
• Work with the sales and investment teams to make sure the products meet the needs of the target audience.

Skills and experience required

• At least 5 years of actuarial experience within a Life Insurance environment. Direct experience in IUL or ILP pricing is highly advantageous.
• Good progress in actuarial exams from a recognized institute (IFoA, SOA, or equivalent).
  
• Advanced skills in Prophet (including ALS if possible) and Excel/VBA. Familiarity with Python or R is a plus.
  
• Strong understanding of Singapore’s regulatory landscape (RBC2) and IFRS 17.
• Excellent communication skills with the ability to translate complex actuarial concepts into actionable business insights for non-technical stakeholders.

To apply online please use the 'apply' function, alternatively you may contact Lynette Lim.
(EA: 94C3609/ R1435181 )

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, “Cluster 6. Climate and Human Health”, will predict the future impacts of climate change on human health.

The Research Fellow will work with the PI of the Climate and Human Health cluster, Assoc Prof Konstadina Griva, based in the Lee Kong Chian School of Medicine, and will lead several projects related to public perceptions of climate change and health, and health communication strategies in the context of climate change.

Key Responsibilities:

• Literature searches and manuscript preparation
• Data collection using mixed methodology
• Statistical analyses and evidence synthesis
• Drafting of progress report(s) and final research report
• Research publications and presentations, and dissemination of the results
• Administrative work associated with the program of research as necessary

Job Requirements:

• PhD degree in psychology, social sciences, or health-related disciplines
• Demonstrate solid foundation in statistical analysis (e.g., SPSS, R, STATA)
• Desired: prior experience in systematic review and evidence synthesis
• Desired: prior research experience in environmental health and health psychology
• As position requires stakeholder engagement in English, candidate must have excellent written and oral communication skills in English.
• Demonstrate initiative and good interpersonal communication skills
• Ability to work independently with a high level of accuracy and attention to detail
• Evidence of being able to work both independently and collaboratively, with a strong sense of team spirit

Interested applicants should submit a CV, a statement of interest, and contact details of 2 referees. Incomplete applications will not be considered. For more details, please view http://www.earthobservatory.sg.

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

We regret to inform you 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-in-Quantum-Algorithms-and-Machine-Learning/32457-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

We are seeking a promising Research Assistant to join an advanced research project at the intersection of quantum computing and machine learning, focused on developing scalable and coherent training methods for quantum models.

This project tackles one of the central challenges in quantum machine learning: how to train quantum systems efficiently and reliably on scaling quantum hardware. The research will develop novel optimization frameworks based on quantum dynamics and apply them to advanced learning architectures.

The successful candidate will contribute to both theoretical advances and experimental implementations, with opportunities to co-author publications and engage with leading researchers in the field.

Main Responsibilities:

• Develop and implement quantum learning models
• Design and evaluate novel quantum optimization and training algorithms
• Perform large-scale simulations using frameworks such as Qiskit and PennyLane
• Potentially execute experiments on state-of-the-art quantum hardware
• Benchmark quantum models against classical and hybrid baselines
• Contribute to research publications at leading venues
• Develop reusable, high-quality research code and contribute to open-source tools

Qualifications

• Master’s or PhD in Computer Science, Physics, Mathematics, or a closely related field
• Mathematical foundation, particularly in linear algebra, probability, and optimization
• Background or strong interest in quantum computing, quantum information, or quantum algorithms
• Knowledge of machine learning (e.g., deep learning, optimization, or learning theory)
• Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy, PyTorch)
• Experience with numerical simulations, algorithm design, or high-performance computing is advantageous
• Familiarity with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) is preferred
• Experience with research or advanced technical projects
• Analytical thinking, problem-solving skills, and intellectual curiosity
• Ability to work both independently and collaboratively in a research environment
• Strong scientific writing and communication skills

More Information

Interested applicants should submit the following documents to the NUS Career Portal:

• Curriculum Vitae (CV)
• Academic transcripts
• Cover letter (1-2 pages) outlining research interests and relevant experience
• Sample of technical work (e.g., paper, report, or code repository)
• Contact information for 2 referees (Letters may be requested at a later stage)

For more information, please reach out to lpira@nus.edu.sg

We encourage applications from candidates with diverse backgrounds. Applicants who do not meet all the listed criteria but are interested in the role are encouraged to apply.

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-%28Quantitative%29/32455-en_GB/?st=62AB6BB745B72DCB57CD58FD3DC1A95BEA2FBF0E

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.

The successful candidate will be working within the team under the Principal Investigator Assistant Professor Akira Endo, collaborating closely with multiple experts.

Methods include renewal process, network transmission modelling, machine learning and Bayesian inference, particularly in the context of epidemiology and dynamics of respiratory, sexually transmitted, and tick-borne infections.

Candidates should have a solid understanding of infectious disease dynamic modelling and statistical modelling, with a sufficient background in public health, mathematics, and data science. Proficiency in R programming is essential, and we will also appreciate candidates with extensive coding knowledge of C++, Python, or Julia.

The candidate will be working with the Principal Investigator(s) on the analysis of predicting future trajectories of epidemics and assessing the potential impacts of response strategies using a range of modelling frameworks, including mathematical, statistical, and machine-learning approaches.

The Principal Investigator(s) is seeking an independent worker who is well-organised, analytical and codes competently. They will, however, be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:

• Infectious disease modelling
• Statistical analyses
• Stochastic processes
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders

Requirements:

• Completed an MSc in a quantitative discipline (statistics, mathematics, computational biology, data science)
• Extensive experience in data science research and experience in leading at least one quantitative health-related research project
• Strong programming skills (at least one of R/Python/Julia)
• Statistical competence (understands and can perform likelihood-based inference, ideally including Bayesian)

Please email the PI at aendo@nus.edu.sg for further details.

Key Responsibilities:

• Collaborate with Business Unit Specialists to elicit, review, and validate business requirements.
• Analyse and document “to-be” business and operational processes based on agreed requirements and/or function points.
• Define detailed functional and non-functional requirements, ensuring alignment with business goals.
• Conduct impact assessments and manage risks/issues related to requirements and scope creep.
• Prepare business functional release notes and contribute to deployment planning.

Requirements

• Minimum 8-10 years of experience in functional business analysis, with a strong
  focus on SWIFT and payments systems.
• Domain Payments, Cross-border payments, SWIFT standards, Cross border payments via blockchain network a plus
• Strong business domain knowledge in corporate banking and payments.
• Bachelor’s degree in engineering/ business/ finance or equivalent.
• Strong quantitative, analytical, problem solving and process design skills that
  can translate analysis into solutions that meet business objectives
• Understanding of technology and operational processes across functions /
  departments in the bank/market.
• Familiar with change management processes and project management
  fundamentals.
• Strategic forward-thinking approach to challenges with outstanding
  communications, influencing, negotiating and persuasion skills.
• Passionate, diligent and resilient individual with ability to thrive in ambiguity.
• Ability to push initiatives forward and work collaboratively across teams.
• SQL

Hwa Chong International School (HCIS) is a member of the prestigious Hwa Chong family of schools, drawing its core strengths from a century-old tradition of educational excellence and philanthropy. As a local international school, at least half of the student population is local, and the rest from over 20 countries.

HCIS is committed to providing an environment conducive to the continued growth and development of our staff.

EXPERIENCED INTERNATIONAL BACCALAUREATE TEACHER

• Computer Science Teacher (commence in June 2026)

Hwa Chong International School is looking for inspiring, passionate and committed teachers to explore a career with us.

Full-time teaching positions available for various subjects, refer to https://www.hcis.edu.sg/about-hcis/careers/.

Teachers may be required to teach various levels in the school’s six-year academic programme. Apart from teaching, teachers are expected to guide the students throughout the academic year in all areas of their holistic development. The incumbent will undertake planning and execution of various school activities throughout the year. As part of the school’s professional learning community, teachers are expected to contribute to teacher collaboration and resource development to value-add to the learning and development of students.

Requirements:

• A good degree in Engineering, Computer Science, Computer Engineering or related from an established University and possess teacher training qualifications, e.g. Post-graduate Diploma in Education
• At least 4 years of teaching experience in the IB Diploma Programme or at pre-tertiary levels would be a distinct advantage
• Preferably certified in IBO Workshop Category 1, 2 or 3.
• Self-motivated and passionate about educating students
• Able to multi-task and work independently
• Salary commensurate with experience
• Interested applicants to send resume to recruitment@hcis.edu.sg. 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-AssistantAssociate-Policy-Analyst-Retirement-Adequacy/32451-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant/Associate Policy Analyst – Retirement Adequacy

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. Rapid population ageing in Singapore raises important questions about financial resilience and retirement adequacy. This project aims to examine how life-course transitions in employment, health, caregiving, and housing shape income, expenditure, and financial vulnerability in later life. The study will draw on longitudinal datasets, including the Retirement and Health Study and will involve quantitative analysis and policy-relevant modelling to inform retirement and ageing-related policies in Singapore. This is a full-time position based in Singapore.

Duties may include, but are not limited to: (1) providing programming support for research projects; (2) conducting statistical and econometric analyses using longitudinal data; (3) managing large and complex datasets; (4) constructing indicators of retirement adequacy and financial vulnerability; (5) supporting policy modelling; (6) conducting literature reviews; and (7) contributing to scientific manuscripts, reports, and dissemination of findings.

The appointed candidate should: (1) hold at least a bachelor’s degree; (2) be proficient in Stata or R; and (3) have training in statistics, mathematics, economics, computer science, quantitative social science, public health, epidemiology, or a related field. Experience with longitudinal data analysis or microsimulation modelling is preferred. Familiarity with C++ is advantageous but not required.

The ideal candidate should demonstrate the ability to work with large datasets and have strong knowledge of quantitative methods. Strong analytical thinking and work ethics, attention to detail, and problem-solving skills are essential. Excellent written and spoken English is required, as the candidate will engage with stakeholders and contribute to reports and publications.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following by email to the NUS Career Portal:

1) Cover note introducing themselves (no more than 500 words);
2) A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3) A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.

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-%28Quantitative%29/24918-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.

They will be working within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts.

Methods include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of interventions.

Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:

• Disease modelling
• Statistical analyses
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders

Requirements:

• Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
• Strong programming skills (R preferred)
• Statistical competence (Bayesian is advantageous)

Please email the PI at ephdbsl@nus.edu.sg for further details/

• Own end-to-end technical delivery of bank's technology initiatives, from pre project inception through post go live support, ensuring predictable, high quality outcomes.
• Provide hands on technical leadership across delivery teams, acting as an escalation point for design, implementation, and engineering decisions.
• Partner closely with business stakeholders, architects, and product owners to shape solution designs that meet functional and non functional requirements.
• Lead and govern delivery using a hybrid Agile model, combining Scrum/Scaled Agile practices with appropriate traditional controls for regulatory and enterprise needs.
• Drive engineering execution across multiple streams, ensuring effective sequencing of work, management of cross system dependencies, and timely delivery.
• Own technical delivery planning, including scope definition, estimation, dependency analysis, environment readiness, and release planning.
• Proactively identify, manage, and escalate technical, delivery, and operational risks, ensuring visibility in appropriate governance forums.
• Ensure delivery adheres to the Bank’s software development, security, DevSecOps, and release management standards.
• Maintain accountability for all delivery milestones, quality gates, and compliance checkpoints, ensuring audit and regulatory readiness.
• Lead solution design and implementation discussions, including APIs, integrations, and microservices, ensuring scalability, security, and resilience.
• Drive adoption of engineering best practices, including:

• Code and design reviews
• Automated testing and quality gates
• CI/CD pipelines and deployment automation
• Ensure quality-first engineering by embedding testing, security, and performance considerations early in the development lifecycle.

• Monitor delivery health using data-driven metrics such as velocity, cycle time, defect trends, environment stability, and release success rates.
• Actively participate in Scrum of Scrums and cross stream technical forums to resolve dependencies and alignment issues across teams.
• Lead regular delivery and engineering cadences (daily stand ups, sprint reviews, retrospectives, weekly delivery checkpoints) and track actions to closure.
• Own and govern change management, ensuring controlled scope evolution while safeguarding delivery commitments and technical integrity.
• During test and stabilization phases, actively drive defect resolution, managing SLA adherence, defect density, and re open rates.
• Ensure production readiness, including deployment planning, operational handover, monitoring, and support models.
• Foster a culture of technical excellence, inclusiveness, and continuous improvement, encouraging proactive participation and ownership within teams.
• Lead and contribute to cross team improvement initiatives across Agile delivery, DevSecOps tooling, architecture standards, delivery governance, and the Bank’s System Development Methodology

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-Science%29/32470-en_GB/?st=268F709592288E636706A7A9A3F4FD9E1228D918

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 Principal Investigator and lab members on one or more research projects. 

Only shortlisted candidates will be notified.

Job Requirements

•  Bachelor’s or Master's degree in Computer Science
•  Experience in Research
•  Demonstrated ability to carry out independent research or project work.
•  Excellent communication, documentation, and teamwork skills.

Are you a passionate graduate in search of a teaching career that supports your learning and growth, compensates well, while making a meaningful impact together with a team?

[About Our Team]

At The Pique Lab, we’re on a mission to create the best Science learning experience for students aged 9 to 16 in Singapore. Our lessons are meticulously crafted based on pedagogical research, data-driven methodologies and have one overarching goal: to

make learning fun, shorten learning curves and help students develop a genuine appreciation for Science.

Over the past decade, we've grown from a pair of co-founders to a diverse team of over 80 team members across 10 departments. Our proprietary learning methodology and examination-centric materials have helped more than 20,000 students ace their Science examinations.

Our headquarters is in Singapore, with additional offices in China, Philippines and Malaysia. We take pride in our open, fast-paced and flat organisational structure where every team member is valued for their skills and competencies, not just their job titles.

We are looking for passionate Science lovers to join us to bring the joy of learning to more children. Who knows? You might be nurturing the next Albert Einstein or Marie Curie!

If you like the prospects of working in a close-knit team, leveraging tech to work hyper-efficiently while tackling challenges head-on, we’d love to talk to you about joining the team!

[Your Role]

As a Primary Science Teacher at The Pique Lab, you will be involved in:

1. Class & Learning Management – You will manage classes (online & onsite) effectively with a holistic understanding of your students’ learning needs and motivations
2. Lesson Preparation & Delivery – You’ll prepare for your lessons in accordance to our curriculum. In particular, you’ll devise ways to simplify Science concepts and highlight common misconceptions.
3. Publishing – You’ll share your knowledge by writing articles and producing videos, so that your students can continue to learn from you outside of the classroom.
4. Communication – You’ll communicate with parents on their children’s learning progress and make appropriate recommendations on how to improve further.

[Your Growth]

Your success as a Primary Science Tutor means a lot to us.

Rigorous training is provided during your first 9 months at The Pique Lab, which is aimed at increasing your confidence and expertise as a Primary Science Teacher.

You will start your career with us by undergoing the Teaching Associate Programme where you'll learn plenty of valuable teaching skills:

• Content Mastery: Solidify your fundamentals in the Primary Science syllabus by learning key concepts & examination question types. Understand how to apply a variety of answering techniques to tackle questions effectively.
• Attention Control: Discover how to make your lessons come alive, such that your students never get bored of them. Dive deep into delivery technicals such as coherency, clarity, tempo, gestures, expression and humour.
• Class Control: Pick up effective classroom management strategies, so that you're able to maintain a fun, yet disciplined teaching approach with your students.
• Performance Management: Learn how to use cues effectively to instil a stronger sense of confidence in your students & help them develop a stronger affinity for Science.
• Communicating With Parents: Understand how to communicate with parents, such that they are supportive and appreciative of your work.

After you've achieved mastery in your fundamentals, you can look forward to explore various career pathways (Specialist Track & Management Track) where we'll work closely with you to spearhead projects or manage teams.

[You, Our Ideal Candidate]

We’d love to have a chat with you if you meet the following criteria:

Required:

• Strong Background in Science: You should have a strong understanding in the subject matter - not just at the university level, but at a primary/secondary level, and hence be able to simplify complex Science concepts.
• Prior Teaching Experience: You should have some experience in teaching, not strictly limited to Science - be it commercial experience (e.g. teaching in MOE schools, tuition centres or private 1-1 classes) OR volunteering experience (e.g. coaching kids in after-school care centres).

Good to have:

• A Positive, Confident & Engaging Personality: You need to be comfortable engaging students at a group level & infuse joy and laughter in your lessons.
• Grit and Drive to Succeed: You must be committed to mastery and be willing to put in the hard work. You should have a clear idea on what you intend to pursue in your career, at least for the next 3 to 5 years,
• Ability to learn fast and think on your feet: You will be expected to pick up and apply strategies and techniques taught to you quickly, especially during the training period.

[Your Welfare]

1. [Biggest Takeaway] Mentorship, Training & Regular Feedback
2. Abundant Career Progression Opportunities in two different tracks: Specialist track and Management track
3. Competitive Remuneration, including a base salary (starting from $3,400/ month) plus a variable pay (which scales based on your contributions)
4. Annual Performance Bonus
5. Medical, Dental & Vision Benefits
6. Technology Benefits
7. Paid Leaves
8. Time-off From Work For Errands
9. Fully-stocked Pantry
10. Free Meals on selected school holidays and weekends
11. Company Socials
12. Work From Home Care Packages

[Take Note]

1. We respect your time commitment with us. As such, you'll be paid full salary, even during your training period.
2. There are no part-time teaching positions due to the amount of resources required to groom teachers to excellence.
3. We specialise only in Primary Science and will continue to deepen our expertise in this area within the next 3 to 5 years. If you're only keen to teach Mathematics or English, we're probably not a good fit for you.