Total 1,398 science rd research job vacancies in Malaysia

The Cognitive and Brain Health Laboratory is a lab housed in Psychology, School of Social Sciences, Nanyang Technological University, Singapore. Our research makes use of multimodal neuroimaging to broadly study cognitive and brain health. For more details, please check out our webpage at https://cogbrainhealthlab.github.io/

We are seeking a Research Assistant to join a newly funded neuroimaging research project that aims to reverse brain ageing.

Key Responsibilities:

• Assist in recruitment of participants

• Administer neurocognitive tests and questionnaires to participants

• Assist with the preparation of manuscripts for publications

• Handle project related documentation and associated administrative tasks

• Perform other tasks as required by the Principal Investigator

Job Requirements:

• Good Honours Degree in Psychology from a recognised institution.

• Strong interpersonal, written and verbal communication skills

• Excellent organizational skills and able to work within given deadlines

• Candidates must be willing to commit for at least 1 year

Preferred requirements:

• Prior experience with neurocognitive assessments

• Prior experience working with the elderly in Singapore

• Proficiency in Mandarin (working mainly with Mandarin speakers) - essential for data analysis and communication with stakeholders

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%2C-AIDF/33495-en_GB/?st=4993B7046BEEBA984DA71E08B1EF737E0DBC9DA2

We regret that only shortlisted candidates will be notified.

Role Overview

We are looking for a motivated Research Assistant to support AIDF’s digital marketing, and programme outreach activities.

Key Responsibilities

Digital Marketing and Campaign Support

• Support the planning and execution of digital marketing campaigns across multiple platforms, including social media, email, website, and digital advertising channels.
• Assist in creating, scheduling, and publishing content for LinkedIn, website updates, newsletters, and other digital channels.
• Support campaign tracking, performance reporting, and basic analytics to evaluate campaign effectiveness.
• Coordinate with internal teams, faculty, partners, vendors, and designers to prepare marketing materials and campaign assets.
• Help maintain a consistent brand voice and professional image across AIDF’s digital channels.

Social Media and Content Support

• Manage day-to-day social media content posting and engagement, particularly on LinkedIn and other relevant platforms.
• Draft and refine social media posts, event highlights, programme announcements, and partner engagement content.
• Support content collection from events, programmes, faculty, students, alumni, and industry partners.
• Assist in developing simple visual assets, captions, short write-ups, and promotional materials.
• Support regular website updates, including programme information, event pages, news articles, faculty profiles, partner updates, and other content.
• Ensure website content is accurate, current, and aligned with AIDF’s branding and communication standards.

Academic and Programme Operations Support

• Provide administrative and operational support for academic programmes, workshops, seminars, and events when required.
• Assist with programme marketing, participant communications, registration tracking, logistics coordination, and post-event follow-up.
• Support the preparation of programme materials, reports, attendance records, feedback forms, and certificates where applicable.

Qualifications

• Degree in Marketing, Communications, Business, Media, or a related discipline.
• 1 to 2 years of relevant experience in digital marketing, social media marketing, content coordination, or communications.
• Good writing skills and the ability to draft clear, professional, and engaging content.
• Familiarity with social media platforms, especially LinkedIn.
• Basic experience with website content management systems would be an advantage.
• Basic understanding of email marketing, digital campaigns, or campaign analytics would be useful.
• Comfortable handling multiple tasks across marketing, communications, and programme support.
• Detail-oriented, organized, and able to follow through on operational tasks.
• Good interpersonal skills and the ability to work with faculty, colleagues, students, vendors, and external partners.
• Interest in fintech, AI, digital finance, or higher education would be an advantage.

Preferred Skills

Experience using tools such as Canva, LinkedIn, Mailchimp, WordPress, Google Analytics, or similar platforms.

Ability to support simple design work, content formatting, and digital asset preparation.

Prior experience in an education, research, technology, fintech, or professional services environment would be helpful.

Comfortable supporting events, workshops, and academic programme logistics.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Membranes%29%2C-ChBE/33499-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Design and synthesize chiral covalent organic frameworks (COFs);
•    Fabricate chiral COF membranes;
•    Evaluate membranes for chiral separations.

Job Requirements

•    Experience in organic synthesis, especially chiral synthesis;
•    Experience in porous materials and polymers;
•    Experience in membrane science and engineering.

Description

Flowdesk's mission is to build a global financial institution for digital assets, one designed from the ground up for market integrity and efficiency.

To achieve this in a rapidly evolving market, we apply a disciplined, first-principles approach to everything we do. This approach is embedded in our core services, from institutional liquidity provision, trading solutions, OTC execution to our comprehensive treasury management offerings. This is how we cut through the noise and build robust and scalable systems across all our business lines.

We seek individuals who are driven by this systematic approach. Joining Flowdesk means you will be a key contributor in building and scaling a more transparent and efficient financial markets infrastructure.

Given our rapid growth, we've also launched our Early Talent Program, designed to attract and develop high-potential students through internship experiences. This program aims to build a strong pipeline of future full-time employees who are already aligned with our culture and expectations.

You have strong quantitative analysis skills and you are in search of a challenge in the cryptocurrency environment? Then we have what you're looking for! As a Quant Researcher Intern APAC, you'll have the opportunity to join a team focused on researching, interpreting, and capitalizing on crypto trading markets.

We are looking for someone with a computer science or coding background who would like to develop their skills in the team.

Role and responsibilities

• Provide first-level support to the quant research activities
• Develop and generate post-trade analysis reports
• Assist quant researchers in their day-to-day crypto operations and strategies

Requirements

Background and experience

• University degree or Master, preferably in Quantitative Finance, Computer Science, Engineering, Mathematics, Statistics or related.
• Strong analytical and communication skills
• Knowledge of Python and other coding languages
• Experience with trading or crypto-preferred

Background and experience

• Curious and autonomous
• Highly motivated and results-driven
• Strong maths and analytical skills
• Professional proficiency in English Start Date, starting in July 2026
• What would be the Internship duration ? 6 months (5 days in a week, full time on-site)
• Who is eligible ? Final-year students or recent graduates

Benefits

• Team events and offsites

Recruitment process
Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet!

• Here's what you can expect if you apply
• Technical Assessment (80')Technical Interview (45')
• Culture Interview with the HR (30')

On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!

We are committed to an inclusive and accessible recruitment process. If you require any reasonable adjustments or have specific needs to enable you to participate fully in the interview or assessment process (e.g., a sign language interpreter, extra time for a test, or an accessible location), please contact us to discuss how we can support you.

Job Responsibilities:

• Contribute to the conceptualisation and design of research studies (including primary studies, desk review, etc.) on social issues relating to children and families, under the supervision of the Head of Research and Research Advisors.
• Candidate will be expected to execute responsibilities relating to data collection, data cleaning and analysis.
• Conceptualise the dissemination plan of studies together with Advocacy Unit, contribute to the dissemination plan including writing up and presenting findings to relevant stakeholders.
• Work collaboratively with social service practitioners to evaluate programmes and services.
• Responsibilities include supporting the development of concept papers (TOC, logic model, needs analysis), proposal of suitable frameworks, methods and tools for programme evaluation, analysis of results, and contributing to reports detailing findings and recommendations.
• Contribute to other team efforts, such as research newsletters, research grant, organizing of events.
• Other tasks assigned by supervisor.

Requirements:

• Honours Degree in Psychology / Sociology / Social Work or related discipline
• Past work experience is preferred
• Past research experience is required
  i) Past research experience should be evident (e.g. RA, internship, thesis, peer-reviewed research publications)
  ii) Candidate should have sound statistical knowledge and be proficient in using statistical software such as Statistical Package for the Social Sciences (SPSS) to conduct data analysis
  iii) Prior experience in conducting programme evaluation and knowledge of social service sector preferred but not necessary
• Keen interest in conducting research on social issues relating to children and families
• Willing to undertake different types of work
• Good written and verbal communication skills
• Good interpersonal skills
• Self-motivated and able to work independently to manage multiple tasks simultaneously
• Be comfortable working collaboratively in a team and in liaising with multiple parties

We are seeking to appoint a Research Associate to support research in cybersecurity, trustworthy AI, and large language model security. The successful candidate will contribute to projects related to privacy-preserving AI interactions, trustworthy knowledge acquisition, and secure information processing in security-sensitive AI systems. The role will involve assisting in the design, implementation, and evaluation of methods for reducing privacy leakage, mitigating adversarial risks, and improving the security and trustworthiness of LLM-based systems. The candidate will also support the construction of research benchmarks, experimental evaluation, and the preparation of high-quality research publications. This position will contribute to NTU’s mission of advancing secure and trustworthy intelligent systems through interdisciplinary research in cybersecurity and artificial intelligence.
 

Key responsibilities:

• Conduct research on cybersecurity, trustworthy AI, and large language model security, with a focus on privacy-preserving AI interactions and secure information processing.

• Design, implement, and evaluate methods for trustworthy knowledge acquisition in LLM-based systems, including approaches to reduce privacy leakage and mitigate adversarial risks.

• Develop learning-based and evaluation-driven approaches to improve the security, reliability, and trustworthiness of AI systems in security-sensitive scenarios.

• Construct experimental platforms, benchmarks, and datasets for evaluating LLM security, privacy protection, and trustworthy AI applications.

• Conduct empirical experiments, performance analysis, and ablation studies to validate proposed methods and support reproducible research.

• Prepare and co-author high-quality research papers, technical reports, and project documentation, and collaborate with academic and industry partners on related research projects.

Requirements:

• A Master’s degree in Computer Science, Cyber Security, Artificial Intelligence, or a related discipline.

• Research or applied experience in cybersecurity, trustworthy AI, large language model security, privacy-preserving AI, or related areas.

• Experience with LLM-based systems, trustworthy knowledge acquisition, information retrieval, query rewriting, or AI security evaluation.

• Familiarity with privacy leakage, adversarial risks, secure information processing, and trustworthiness evaluation in AI or LLM-based systems.

• Experience in designing and conducting empirical experiments, including benchmark construction, dataset preparation, performance evaluation, and ablation analysis.

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

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Nguyen Lab (Principal Investigator: Thanh Ricky Nguyen) within the Cancer Discovery and Regenerative Medicine Program is a collaborative and innovative research group focused on uncovering how cells maintain internal quality control and how these processes break down in disease. Our research centers on the molecular mechanisms of autophagy and mitophagy, particularly in the context of aging, neurodegeneration, and cancer. We combine approaches in biochemistry, molecular biology, and cell biology with emerging experimental systems, such as advanced 3D cultures and in vivo models, as we build a versatile and evolving research platform to study disease-relevant biology.

For more details, please see Assistant Professor Nguyen’s profile and within the Cancer Discovery and Regenerative Medicine Program

We are looking for a motivated Research Assistant/Associate to join our collaborative research environment and support ongoing projects investigating autophagy and mitophagy in disease. The role involves performing experiments, analyzing data, and contributing to the development of new experimental approaches and model systems as the lab continues to grow.

Key Responsibilities:

• Maintain and develop cellular models, including mammalian cell culture and advanced systems such as stem cell–derived models and organoids

• Independently perform and analyze a wide range of molecular and cellular biology experiments, such as DNA cloning, western blotting, co-immunoprecipitation, gene perturbation approaches (e.g., CRISPR-based methods and viral systems), and related biochemical assays

• Conduct imaging-based experiments, including immunofluorescence and confocal microscopy

• Contribute to the development and validation of cellular models for studying autophagy, mitophagy, and cellular stress pathways

• Work closely with the Principal Investigator and lab members, including PhD students, to implement research plans and optimize experimental protocols

• Assist with laboratory operations and regulatory compliance, including contributing to the development of risk assessments (RAs), standard operating procedures (SOPs), and maintaining an organized lab environment

Required educational qualification, experience, skills and competencies (to delete / replace in following grey highlight, where applicable):

• Bachelor degree (for Assistant) or Master degree (for Associate) in Cell Biology, Molecular Biology, Biochemistry, or a related discipline

• Minimum of 1 year of hands-on laboratory experience in mammalian tissue culture, particularly adherent cell lines (e.g., HEK, HeLa, or similar systems)

• Experience with molecular and cellular biology techniques (e.g., DNA cloning, western blotting, or related assays)

• Experience with stem cell culture and/or organoid systems is strongly preferred; candidates with such experience will be prioritized

• Good written and oral communication skills, with the ability to document and present experimental findings clearly

• Demonstrated ability to plan and execute experiments with appropriate supervision, with strong problem-solving skills and attention to detail

• Excellent interpersonal skills, including the ability to work both independently and collaboratively in a research environment, with strong organizational and time management skills

• Entry-level candidates with relevant hands-on experience are welcome to apply

Role Overview:

We know stepping into teaching can feel overwhelming — that’s why at Achievers Dream, we invest heavily in your success from Day 1.

• You’ll start with our proven, research-backed 5-Stage Teacher Training System
• Receive step-by-step guidance from experienced mentors
• Learn exactly how to deliver effective lessons and guide students — no guesswork
• Progress at a structured pace, with constant support and feedback

Once you’re confident and ready, you’ll officially step into your role as a Science Teacher, where your main focus will be:

• Teaching upper primary / lower sec students in group class settings

• Conducting both classroom lessons and hands-on lab sessions in our NEA-approved Chemistry Lab

• Helping students truly understand Science — not just memorise

• Focusing solely on teaching — with minimal admin work (our support team handles the backend)

We’re looking for someone who is:


• Patient, reliable, and committed to students’ improvement

• Passionate about teaching — not interested in research or excessive admin

• Eager to grow, learn, and become a respected Science Specialist

• Someone who respects work life balance and giving 100% at work.
• Teaching or tutoring experience will be a bonus as training will be provided
• Detail-oriented in marking and student feedback
• Team player who is dependable and willing to help when needed

Work Schedule & Location

Outlets: Bukit Timah, Lorong Chuan, Kembangan

• Option 1: 4 weekdays (1:00pm–9:00pm) + 1 weekend (8:30am–6:30pm)
• Option 2: 3 weekdays (1:00pm–9:00pm) + 2 weekends (8:30am–6:30pm)

For interested applicants, kindly send your updated resume to us and we will contact you for a competency test and interview. We regret that only shortlisted candidates will be contacted.

Project Overview

The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic technologies. DiSTAP is one of the five Interdisciplinary Research Groups (IRGs) of the Singapore-MIT Alliance for Research and Technology (SMART).  The research engineer will join an interdisciplinary team of chemists, engineers and plant biologists in the development, modification and characterization of functional conjugated polymers with unique optical properties that could potentially be used for cell imaging. These novel tools enables optimal crop production and rapid development of plants suitable for high-density farming and revolutionalizes urban farming strategies.

Responsibilities

• Support the DiSTAP nanosensor team in the development and validation of novel single-walled carbon nanotube (SWNT)-based sensors, with a primary focus on Covalent Organic Framework microneedles (COF-MNs) and nanosensors for nutrient sensing.
• Participate in translational research projects alongside external collaborators and open-field commercial plantation partners to drive the commercialization of DiSTAP technologies.
• Work across interdisciplinary team on in-planta studies using nanosensors for the real-time monitoring of plant nutrients, metabolites, and stress responses.
• Play a crucial role in enhancing the throughput of sensor data evaluation by developing, optimizing, and maintaining automated data processing and analysis pipelines.

Requirements

• BSc in Chemistry, Materials Science, Engineering, or a closely related field.
• Hands-on experience working with nanosensors, nanoparticle synthesis, and materials characterization, particularly regarding their applications in plant biology.
• Strong hands-on laboratory skills and technical proficiency.
• Excellent teamwork and collaboration skills, with the ability to mentor visiting students and interns.
• Ability to effectively communicate research progress through technical reports and poster presentations.
• Excellent written and verbal communication skills in English.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Position : Primary Science Tutor 

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

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

Key Responsibilities

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

Requirements: 

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

If you are keen to apply, please send me your resume and job applied for on WhatsApp at 9789 3505 or email me at anabel.thesupreme@gmail.com (˶ᵔ ᵕ ᵔ˶)

❄️Anabel Boon Xue Qi | Recruitment Consultant (R25159272) |

CLaaS2SaaS is a Singapore-headquartered Pan-ASEAN AI Acceleration Platform committed to advancing inclusive digital economy transformation across Southeast Asia. With a growing presence across Singapore, Malaysia, Indonesia, Philippines, Vietnam, Cambodia, Myanmar, Sri Lanka, India, and China, we work closely with higher education institutions, enterprises, SMEs, and governments to accelerate workforce and digital transformation in the AI era.

Driven by a Skills-First, Work-Integrated Learning innovation, CLaaS2SaaS combines work-integrated learning with AI-powered adaptive technologies to develop industry-ready digital talent and support lifelong career growth. Our innovative learning ecosystem enables faster and more effective workforce transformation, empowering individuals with practical skills, real-world industry experience, and meaningful career outcomes.

At the same time, we support enterprises in adopting intelligent digital solutions and scalable AI-enabled services that enhance productivity, workforce capabilities, and operational efficiency. By connecting education, industry, and technology within a unified ecosystem, CLaaS2SaaS is building a more connected, agile, and AI-powered ASEAN economy for the future.

Job Objective

·Support blended learning journey for our learners to achieve superior learning experience and successful skills outcome.

·Be a subject matter expert and mentor students throughout their learning journey

·Learning Delivery and Operations Management – Execute eduCLaaS’ courses in accordance with its well-defined learning delivery, learning operations and learning technology policies and procedures in order to achieve best results in learner satisfaction.

·Financial Management – Responsible to execute the various cohorts/programmes with time, budget and P&L. Leverage the use of data analytics to analyse the profitability of the programmes.

Technical Skills and Competencies

·Extensive experience in Programme Management

·Well versed in Education/University frameworks

·Good skills in Financial and Risk Management

·Good understanding of Educational Technology and its implementation.

Requirements

·Bachelor’s degree is required.

·Proven experience as a facilitator, speaker, or coach.

·5+ years of experience in data science and machine learning

·Strong communicator.

·Great empathy skills.

·Assess the training needs of learners and adjust your delivery accordingly.

·Working knowledge of the following:

• Azure
• Solid foundation and advanced level understanding of R Programming, SQL, Python, Machine Learning, AI, Spark, Statistics
• Python base packages as Numpy, Pandas, Scikit learn, Seaborn & MatplotLib
• Experience using business intelligence tools (e.g. Tableau,PowerBI) and data frameworks (e.g. Hadoop, Spark)
• Azure Machine Learning knowledge especially with data and ML stack
• High proficiency with standard database skills (e.g., SQL), data preparation, cleaning, and wrangling/munging.

Good to have

Microsoft Power BI certification
Microsoft Machine Learning certification

Desirable Traits

Possess good English competency level (because the class is conducted in English)

Nurturing, committed, hardworking, proactive, accountable, driven

Good interpersonal, communication and organizational skills

Hiring: Science Teacher (Primary level)

Part Time: $25-35 per hour (commensurate with experience)

Working hours:-

Part Time: between Mon-Fri 9am-3.30pm

Location: East

Responsibilities:

• Prepare and conduct lessons according to the course syllabus and scheme of work
• Provide necessary supervision to the students and report students’ discipline issues to the Student Affairs staff
• Schedule and prepare examination papers and assignments
• Monitor the performance and progress of each student, including academic counselling
• Give feedback to Management about the continual improvement of the class performance
• Mark and grade all course work, assignments and examination papers
• Give feedback to Management on the course proceedings at the end of semester/course/modules
• Participate in programme review meetings

Requirements:

• Minimum a Diploma
• At least 1 year of relevant experience

HOW TO APPLY:

Please send in your resume to: recruit @ dismanpower.com.sg & indicate in the subject as "Science Teachers (Full / Part Time, East)".

**PLEASE INDICATE YOUR EXPECTED SALARY RANGE**

We regret that only shortlisted candidates will be notified.

DIS Manpower Pte Ltd
EA License No.: 08C3226
EA Personnel: Sng Wei Lin
EA Reg No.: R1101806

We are seeking a highly motivated Research Associate/ Research Fellow to join our advanced sensors research team at NTU MAE. The successful candidate will support multidisciplinary research activities in biomechanics, robotics, and advanced materials within the laboratory.

Key Responsibilities:

• Support the team towards comprehensive literature reviews on injury biomechanics, physiological effects, computational modelling and related research topics.

• Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools.

• Design and conduct experimental studies using instrumented human manikins and other test platforms to evaluate biomechanical responses and validate simulation results.

• Assist in the design, fabrication, and characterization of tissue simulants and non-Newtonian materials, including support for 3D printing and additive manufacturing processes.

• Develop and optimize experimental setups, testing protocols and data acquisition systems for biomechanical and robotics-related research.

• Analyse experimental and simulation data, prepare technical reports, and document research findings.

• Support the integration of advanced materials and sensing technologies into robotics and other interdisciplinary research initiatives.

• Inline sensor system developmental work for 3D printing of non-newtonian materials.  Optimization of hardware configurations to maintain a food-grade environment, including development of testing protocols and validation procedures.

• Collaborate with faculty members, researchers, students and external partners to achieve project objectives and milestones.

• Assist in the preparation of research publications, presentations, grant reports, and project deliverables.

• Maintain laboratory equipment and ensure compliance with laboratory safety procedures and research best practices.

• Liaise with external vendors on custom sensors and related mechanical system development.  Manage technical specifications and acceptance testing.  Coordinate technical discussions with collaborators and project stakeholders.  Track project milestones, risks, and technical deliverables.

Requirements

• PhD's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related discipline.

• Knowledge of multi-physics modelling for non-newtonian materials.

• Experience with 3D printing technologies, sensors, system integration, experimental testing, or measurement systems will be advantageous.

• Familiarity with signal processing and analysis, control systems, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.

• Strong analytical, problem-solving, communication, and project coordination skills.

• Ability to work effectively both independently and within multidisciplinary teams.

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