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 Assistant (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 Assistant will support the day-to-day implementation of this large-scale study under the supervision of the Principal Investigator.

Key Responsibilities:

• Liaise with participating primary schools and coordinate day-to-day research operations

• Administer psychoeducational assessments and experimental tasks one-to-one with students

• Distribute, collect, and track parent and teacher questionnaires

• Maintain research records; support data entry, cleaning, and quality checking

• Assist with ethics documentation, literature searches, research reports, and stakeholder materials

• Train and coordinate part-time student research assistants during data collection

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

Job Requirements:

Essential:

• Bachelor's degree in Psychology, Education, Child Development, Sociology, or a related field

• Strong interpersonal and communication skills; good command of spoken and written English - essential for data analysis and communication with stakeholders

• Well-organised, self-motivated, and able to meet deadlines; willing to travel to school sites

• Proficient in Microsoft Office (particularly Excel and Word)

Preferred:

• Prior experience administering psychometric or psychoeducational assessments to children

• Experience conducting school-based research or working with young children (Primary 1–3 level)

• Familiarity with statistical software (e.g., SPSS/jamovi/JASP, R) and data management

We regret that only shortlisted candidates will be notified.

Job Responsibilities

• Partner with key stakeholders to identify emerging learning and development needs
• Conduct, evaluate and follow-up on post training assessment and feedback. Monitor training effectiveness of training programmes delivered are current, relevant and effective
• Prepare and monitor yearly training budget
• Support L&D administration and operations matter
• Perform end-to-end support on learning and development programs and liaising closely with both internal and external stakeholders
• Perform Research on training trends, developments and practices; and supports the development of training frameworks
• Business Partnering with Line Managers
• Other ad-hoc duties as assigned

Job Requirements

• Degree in Human Resource Management/Business Studies or equivalent
• At least 5 years of L&D specialized experience and operations support
• Prior experience with HR Systems
• Proficient in Microsoft Office Applications

Only shortlisted candidate will be notified.

GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | EA Personnel: Jaremy Ong | Registration No: R1876766

This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltds PDPA and e2is PDPA

About the company
Our client is a leading international multi-line insurer. With a heritage spanning nearly a century, they operate a significant global footprint with a strong focus on long-term stability and sustainable growth. This organization is known for its robust capital position and its commitment to integrating advanced actuarial practices across its life and general insurance portfolios. They offer a professional, stable environment where technical expertise is highly valued by senior leadership.

About the job
This is a pivotal role within the Valuation team, focusing on the financial health and capital optimization of the business. A key focus of this role involves the Matching Adjustment (MA) framework. You will work on the technical application of asset-liability matching to help the business manage its capital more effectively. Your daily responsibilities will include:

• Performing regular valuations and reporting on life insurance products.

• Analyzing and monitoring the interaction between investment assets and insurance liabilities (ALM).

• Supporting the maintenance and optimization of the Matching Adjustment portfolio to improve capital efficiency.

• Collaborating with the Investment and Risk teams to ensure modeling accuracy.

• Explaining complex financial movements to internal stakeholders in a clear, actionable way.

Skills and experience required

• You should have good progression with actuarial examinations (from a recognized global body).

• Proven experience in life insurance valuation or financial reporting.

• Direct experience or a very strong working knowledge of Asset Liability Management (ALM) and the Matching Adjustment framework.

• Familiarity with actuarial modeling software (e.g., Prophet, Moses, or Axis) and advanced Excel.

• A high level of accuracy in financial modeling and the ability to spot trends or anomalies in large data sets.

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-AIML-Failure-Analysis/32444-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The ECE Department at NUS is seeking a Research Fellow to support applied AI research in failure analysis and fault isolation. The successful candidate will focus on developing and integrating machine learning–guided failure analysis and diagnostic capabilities for hybrid electronics. This position offers an exciting opportunity to work at the forefront of semiconductor technology, with close collaboration across industry partners and academic researchers.

Responsibilities will involve:
1.    Research & Development
•    Conduct research on AI/ML techniques for semiconductor failure analysis.
•    Develop novel algorithms and methodologies for defect detection, classification, and failure analysis.
•    Supervise and mentor junior researchers and graduate students in related research activities.
2.    System Integration
•    Lead the design and integration of ML-driven diagnostic tools into failure analysis workflows.
•    Build robust and scalable software solutions interfacing with diagnostic instruments and test platforms.
•    Drive optimization of system performance for real-world deployment.
3.    Data Analysis & Reporting
•    Manage the collection, preprocessing, and large-scale analysis of experimental and simulation datasets.
•    Validate and benchmark AI-driven predictions against empirical outcomes.
•    Prepare technical reports, publications, and presentations for both academic and industry audiences.
4.    Project Management & Collaboration
•    Take responsibility for delivering research milestones within project timelines.
•    Serve as the primary liaison with industry partners to align objectives and ensure impactful outcomes.
5.    Innovation & Intellectual Property
•    Drive innovation in diagnostic methodologies and failure analysis workflows.
•    Contribute to patent filings, technology disclosures, and commercialization efforts.
•    Publish findings in high-impact journals and present at leading conferences.

Qualifications

•    Ph.D. or equivalent degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience. 
•    Candidate with experience in microelectronic research, characterisation, metrology and electrical testing, and strong in data analysis will have advantage.
•    Proficiency in data analysis and interpretation using statistical tools and software packages.
•    Excellent communication skills and the ability to work effectively in a collaborative research environment.
•    Motivated and possesses effective communication skills including writing and presenting.
•    Ability to work independently and collaborate within a diverse team.
•    Open to Fixed Term Contract.

Mainframe zOS system programmer / administrator for

• Mainframe CICS and MQ
• Mainframe zSeries hardware
• Mainframe zOS operating system
• Mainframe IBM and 3rd Party Vendor System Software
• Mainframe storage area network
• Mainframe attached disk storage system
• Mainframe attached tape storage system

Role and Responsibility includes :

• Create and maintain Host Platform technology strategy, architecture and roadmap
• Provide Host Platform infrastructure initiatives project management
• Design, install, configure and deploy UOB host infrastructure and solution
• Provide Host Platform project and L3 support
• Plan and manage Host Platform upkeep and change schedule
• Deploy Host Platform upkeep and change
• Manage risks and controls, provide audit support, perform RCSA for Host Platform

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. We are looking for a Project Officer to develop intelligent detection and picking methods of extracting weak yet coherent signals from 2D acoustic or seismic recordings.

Key Responsibilities:

• Develop and apply innovative 2D seismic phase picking methods

• Extract seismic phases for enhancing practical findings

• Publish high-impact research articles in leading international journals

• Assist in the preparation and development of competitive research proposals

• Support the supervision and mentoring of undergraduate students

Job Requirements

• Bachelor’s degree in exploration seismology, applied geophysics, or related field

• At least 2 years of relevant experience in geophysical signal processing

• Familiarity with related literature and software

• Good written and oral communication skills

• Entry level candidates are welcome to apply

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

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

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

We are looking for a Research Fellow to advance MOF‑based electrochemical and CO2 removal research. The role will focus on:

• Electrochemical process on interface phenomena

• MOF synthesis, testing under different conditions

• Simulation of scaled up process.

• Interface with machine learning group on database set up

• CO2 removal process

Key Responsibilities:

• Electrochemical process on interface phenomena

• MOF synthesis, testing under different conditions

• Simulation of scaled up process.

• Interface with machine learning group on database set up

• CO2 removal process

Job Requirements:

• Candidates with strong background in Materials chemistry/Physical chemistry

• Experience with MOF synthesis, energy storage system or electrochemical system

• PhD in Chemistry/Materials Science/Physics

• Encourage initiating activities on MOF development, devising, and analytical process

• Experience in machine learning will be preferred

• Good oral and written communication skills

• Candidates with strong publication/patent records will be preferred

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

About Matt’s Education:

Established in 2011, Matt’s Education specialises in English, Math, and Science tuition at the primary and secondary levels. We are passionate about helping students enjoy their academic journey while achieving success. Over the years, our unique and personal approach to tuition has earned us recognition in prominent local publications such as The Straits Times, CNA, and Lianhe Zaobao.

We believe that the joy of childhood and the pursuit of academic excellence can go hand in hand. With outlets in Jurong West and Clementi, we offer more than just tuition; we also partner with MOE schools on public speaking training and various English-related projects throughout the year.

To learn more about our approach and mission, visit www.mattseducation.com.

Role Overview:
We are currently seeking a Secondary School Math and Sceince Teacher and Curriculum Specialist to join our dynamic team. In this role, you will have the opportunity to develop engaging curricula for Math, and Science while also taking on the rewarding task of teaching classes. We are looking for someone who is eager to make a real difference in students’ lives and believes in the power of creative and effective education.

Key Responsibilities:

• Develop, review, and refine curricula for Math, and Science that meet the needs of our diverse student base.
• Create engaging lesson plans, instructional materials, and assessments that cater to different learning styles.
• Teach classes for two of the following subjects: Math, Science.
• Provide mentorship and guidance to students, helping them rediscover their love for learning.
• Regularly assess student progress and offer constructive feedback to students and parents.
• Collaborate with the team to ensure seamless curriculum delivery and an enjoyable classroom experience.

Job Requirements:

• A Bachelor’s degree or higher
• Field of study need not be education related
• Fresh graduates are welcome
• Good command of the English language, both written and spoken.
• Ability to teach two of the three subjects we offer (English/Math/Science) will lend favourable consideration
• Passionate about mentoring and guiding students, with a desire to help them achieve both academic and personal growth.
• Comfortable teaching in a classroom environment.
• Able to work 4 weekdays and 1 weekend on a permanent basis.
• Proficiency in Microsoft Office (Word, Excel, PowerPoint).

What to Expect:

• Competitive remuneration package based on your experience and qualifications.
• A supportive, family-like working environment that values growth and autonomy.
• The opportunity to bring your ideas to life and shape the curriculum.
• Be part of a reputable educational centre with a long history of helping students rediscover their joy in learning.

If you're passionate about working with students and want to make a difference in the world of private education, we'd love to hear from you!

How to Apply:
Interested candidates are invited to submit their resume and cover letter to enquiry@mattseducation.com. Please indicate your preferred subject area (English/Math/Science) in your application.

The client-facing part is just where it starts. Here’s what it grows into.

THE WORK

We partner with established business brands to run client campaigns across Singapore — face to face, with real decision-makers. You’ll be the person in the room, representing something that carries genuine weight.

THE BIGGER PICTURE

Singapore’s business community runs on trust and conversation. The ability to walk into any room in this city — an SME in Toa Payoh, a regional HQ in the CBD — and genuinely connect with the person across the table is rarer than people think.

That’s the skill this role builds. And the longer you’re in it, the more second nature it becomes.

The goal isn’t just to build a client portfolio. It’s to build the kind of person who can eventually develop, lead, and grow the next wave doing this work. Campaign managers, team leads, directors — they all started where you’re starting. That’s not a coincidence. That’s the model.

THE STRUCTURE

• Day 1 ownership — in front of clients from the start, not watching from the back

• Mentors who’ve done this exact role — no theory, no PowerPoints, just real talk

• 5-day work week

• Path: Trainee → Team Lead → Assistant Manager → Director, tracked on merit

WHO WE’RE LOOKING FOR

Fresh graduates and career switchers who want to build something real in Singapore’s business landscape — not just occupy a role. Whatever your background, we care about where you want to go.

• You want to be part of something you’re genuinely proud of, not just employed by

• You take the work seriously even when it gets uncomfortable

• You see leadership as something you’re actively working towards — not a title you’re waiting on

Position Overview:

Black Sesame Technologies is a rapidly expanding artificial intelligence company backed by substantial VC funding, dedicated to pioneering algorithms and chips for artificial intelligence and image processing. As a Research Scientist in this role, you will collaborate closely with leading researchers to forge cutting-edge perception algorithms aimed at tackling real-world challenges in autonomous driving and beyond. The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities. This involves constructing a real-time virtual representation of the local environment by processing input data predominantly from cameras, alongside data from complementary sensors such as radars, IMU, and ultrasonic sensors.

Job Description:

• Develop deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.
• Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.
• Execute deep network compression tailored for ASIC platforms.
• Stay abreast of the latest advancements in deep learning and computer vision literature, proactively proposing novel concepts.
• Contribute to patent and research paper publications.

Job Requirements:

- Master Degree/ PhD in Computer Science, electrical engineering, or a related field.

- Possess 3+ years of experience in computer vision / machine learning development.

- Demonstrated expertise in research and development within one or more of the following domains:

• Deep network development, particularly with visual data.
• Object detection and tracking.
• Stereo / optical flow / depth estimation.
• Multi-view geometry and 3D computer vision.
• Structure from motion.
• Network compression and optimization.
• Network-based sensor fusion.
• Mathematical optimization.
• Proficient programming skills in Python (knowledge of C++ 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-AssistantAssociate-Policy-Analyst-Economic-Evaluation/32452-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant/Associate Policy Analyst – Economic Evaluation

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 underscores the need for effective interventions to support healthy and active ageing. This project aims to evaluate the impact of interventions (e.g. Age Well SG and related community-based programmes) on health outcomes, functional status, healthcare utilisation, and wellbeing among older adults. The study will draw on longitudinal and administrative datasets and will involve quantitative analysis and policy-relevant modelling to inform ageing and healthcare 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 and administrative data; (3) managing large and complex datasets; (4) evaluating programme impacts on health, frailty, and healthcare utilisation; (5) supporting cost and 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 programme evaluation, 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 ethic, 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 the candidate’s academic qualifications and years of relevant experience.

Applicants should send the following 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.

Finance at TAL spans performance analysis, expense management, capital management, accounting and compliance, and financial systems — connecting the numbers to the decisions that shape Australia's largest life insurer.

As an Actuarial Graduate, you will join our Finance Actuarial Pathways Program — a structured rotation through multiple areas of the Finance function, designed to build well-rounded actuarial professionals with deep foundational skills.

Rather than a single-team placement, you will rotate through different disciplines over the course of the program, gaining hands-on experience across valuation, financial modelling, reporting, data analytics, and stakeholder engagement. Each rotation is designed to give you enough time to genuinely learn the work and contribute meaningfully — not just observe.

TAL strongly encourages graduates to complete their actuarial qualifications and provides substantial support, including study assistance, dedicated study time, and exam leave, to help you succeed. You will also be supported through mentorship and buddy programs, alongside tailored career guidance to help you grow as a future leader within TAL.

Throughout the Graduate Program, you will develop experience across the following:

• Performing end-to-end monthly valuation processes, from data acquisition through to reporting
• Financial modelling using industry tools and supporting system development
• Analysing and communicating complex actuarial results to both technical and non-technical stakeholders
• Supporting compliance with regulatory and statutory requirements
• Driving continuous improvement in processes and ways of working
• Building foundational knowledge of actuarial and accounting standards

• Preparation

- Oversee central kitchen bakery team

- Producation planning and employee scheduling.

- Advance preparation, weighing is done accurately, check extensibility and following the daily mixing schedule

• Dividing - Understanding the characteristics of each dough and able to perform troubleshooting

• Shaping - Understanding the amount of portion filling, roll up without damaging the dough, shape properly and according to the procedure

• Baking - Understanding and following the baking procedure and process

• Filing - Can weight correctly and understand the expiration date of each filling

• Sanitation – Understand and follow the correct cleaning procedures

• Other duties – Any ad-hoc duties as required by the manager such as housekeeping

Requirements:

• Minimum 5 years experience of bakery culinary

• Rotating shift (44 hrs 6 days - Day and night shift)

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:

• To independently undertake research in 3D computer vision and visual generation.

• 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:

• 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.

Job Description

This project aims to study ciliopathies such as Primary Ciliary Dyskinesia (PCD) and Polycystic Kidney Disease (PKD). By utilising human stem cell-derived models, the research seeks to further characterise these genetic disorders and evaluate potential treatments via gene therapy approaches.

• Maintenance of human pluripotent stem cell lines and multi-step directed differentiation to generate lung and kidney tissues, including the use of 3D organoids, air-liquid interface (ALI) cultures, and Flow Cytometry (FACS) for the characterisation and isolation of specific cell populations.
• Proficiency in core molecular biology techniques including cloning and PCR-based analysis for genetic characterisation.
• Production, titration, and application of viral vectors for gene editing and stable expression within differentiated cell models.
• Characterisation of ciliary morphology and protein localisation using multi-channel immunofluorescence and high-resolution confocal microscopy.

Job Requirement

• Academic Background: PhD or Master’s degree in Biomedical Sciences, Molecular Biology, Bioengineering, or a related life sciences discipline.
• Research Focus: Proven track record in stem cell biology or regenerative medicine is highly preferred.
• Professional Experience:For PhD holders: 0–3 years of postdoctoral experience

Technical Competencies

• Cell Culture Mastery: Extensive experience in maintaining human pluripotent stem cells (hPSCs) and performing directed differentiation.
• Tissue Engineering: Proficiency in 3D organoid culture and/or Air-Liquid Interface (ALI) models.
• Gene Editing & Virology: Hands-on experience with viral vector production (Lentivirus/AAV) and molecular cloning techniques.
• Analytical Techniques: Skilled in Flow Cytometry (FACS) for cell sorting and analysis.