Total 1,466 science rd research job vacancies in Hong Kong

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.

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.

Job Responsibilities:

Overall:

• 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.
• Work collaboratively with social service practitioners, other research officers, and/or management to evaluate programmes and services.
• Contribute to other team efforts, such as research newsletters, research grant, organizing of events.
• Other tasks assigned by supervisor.

Support in MEL

• Support in reviewing documents related to programme development and evaluation (programme proposals, TOC, logic model, needs analysis, evaluation reports etc)
• Support in developing Monitoring, Evaluation and Learning systems to assist in ongoing work and assess impact.
• Provide support to programme teams in planning data collection, analysis and sense making to articulate outcomes.

Project management

• Assist in project management related to programme development and evaluation support to ensure they are completed in time while assuring quality. This includes:
  • The different workflows are delivered in line with requirements and timeframes.
  • Proactively collaborate and communicate with social service practitioners to ensure work related to monitoring and evaluation are conducted as planned in a timely manner.
  • Support in other tasks related to project management.
• Contribute to developing and managing knowledge products (knowledge management) of the project (case studies, documentation of lesson learnt, best practices)

Requirements:

• Honours Degree in Social Work/ Sociology/ Psychology or related discipline. Open to social service practitioners with keen interest in evaluation and research.
• Past work experience in evaluation is preferred.
• Prior experience in conducting research and knowledge of social service sector preferred but not necessary.
• Strong attention to detail, including proficiency in using quantitative and qualitative data.
• Excellent project management, planning, organisation and coordination skills, and proactiveness in working with the team and other teams.
• 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.
• Knowledge on writing reports, and designing tools for data collection, analysis, managing databases and writing reports.

Asian Thoracic Oncology Research Group (ATORG) is the coordinating platform for translational research in Asia. Its mission is to advance medical knowledge of lung cancer and improve health outcomes of patients through clinical studies and scientific events. ATORG operates under National Cancer Centre Singapore.

We are looking for a Research Fellow who will provide critical support in the design, writing, and operational documentation of multi-country investigator-initiated trials (IITs) and translational oncology studies under the ATORG platform. This includes drafting study protocols, scientific reports, stakeholder materials, and contributing to consensus meetings and academic outputs.

This role is ideal for a motivated and detail-oriented individual with strong scientific writing skills and an interest in driving precision oncology research across Asia.

Main Responsibilities:

1. Study Design and Protocol Development (40%)

• Draft and refine clinical and translational protocols, including Synopsis, Study flow diagrams, Schedules of assessments (SoA), and biomarker sections
• Coordinate protocol input from PIs, Statisticians, Clinicians, and vendors
• Adapt study designs to site capabilities, operational constraints, and scientific objectives

2. Scientific & Grant Writing (30%)

• Develop Abstracts, poster presentations, and manuscripts for submission to Scientific conferences and journals
• Prepare Grant applications, Letters of Intent (LOIs), and scientific reports for academic and industry sponsors
• Draft meeting materials for advisory boards, working groups, and regulatory discussions

3. Stakeholder Engagement & Meeting Support (20%)

• Support scientific communications with local and regional collaborators, including meeting minutes, presentation decks, and briefing materials
• Liaise with site investigators, pharma sponsors, CROs, and academic partners to support scientific alignment across projects
• Contribute to preparation and documentation of region

4. Strategic Input & Innovation (10%)

• Provide input into vendor evaluations, consensus statement writing, and research planning documents
• Assist with the development of SOPs, training materials, and collaborative frameworks to improve ATORG’s scientific processes

Key Requirements:

• Master’s degree in biomedical sciences, cancer biology, molecular medicine, public health, or related field
• At least 2–3 years of relevant research or clinical trial experience, particularly in scientific documentation or study design
• PhD in a related field OR equivalent track record of scientific output (e.g., peer-reviewed publications, lead authorship on abstracts)
• Familiarity with clinical trial protocol writing, GCP principles, or ethics submissions
• Prior experience in oncology research, translational studies, or regional research collaborations

Advantageous Skills to Have:

• Scientific Writing & Communication: Excellent ability to translate complex scientific and clinical data into clear, accurate protocols, manuscripts, and presentations.
• Analytical & Problem-Solving: Strong capability to evaluate scientific feasibility, identify risks, and propose practical solutions.
• Stakeholder Engagement: Skilled in managing relationships with investigators, sponsors, vendors, and internal teams across different cultures and geographies.
• Organisational & Project Management: Ability to manage multiple projects concurrently, meet deadlines, and maintain attention to detail.
• Regulatory & Compliance Awareness: Competence in ensuring study design, documentation, and publications comply with international and local regulations, SOPs, and ethical standards.
• Technical proficiency with MS Office, reference management software, and clinical trial management systems (CTMS) is desirable.

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:

• Original Research & Experimentation: Designing, adapting, and executing scientific studies, mathematical models, or laboratory experiments.

• Project Management & Grants: Overseeing specific research projects, managing budgets, and assisting Principal Investigators (PIs) in writing competitive grant proposals.

• Scholarly Output: Publishing research in peer-reviewed journals, presenting at international conferences, and developing patent disclosures.

• Mentorship: Assisting the PI in supervising junior researchers, postgraduates, and undergraduate students.

• Collaboration: Partnering with industry stakeholders, government agencies, and other academic institutions to translate research into viable solutions.

Job Requirements:

• Preferably PhD 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.

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

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.

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.

We are looking for a Research Associate to work in mental health AI. The role will focus on development of novel multimodal AI models integrating speech, emotions, linguistics, alongside other key mental health modalities. You will also be required to participate in implementation science research pertaining to the deployment and efficacy testing of AI solutions. You will participate in grant and manuscript preparations and also participate in any high impact projects the group is currently working on.

Key Responsibilities:

• De-identification of mental health speech transcripts

• Design and extract text features for modelling ultra-high-risk outcomes

• Design and improve existing multimodal machine learning frameworks for predicting ultra-high-risk outcomes

• Implementation Science research --- including assistance in recruitment, administration of surveys, conducting AI enactment scenarios, analysis of data

• Take care of the Lab’s computing infrastructure--- including GPU-enable units and HPC server

• Manuscript and grant preparations --- for all research pertaining to mental health NLP and behavioral work. And to support grant administration, co-writing, and liaison with grant offices and administrative bodies.

• Research protocol development --- including the development of LLM-prompt workflows, deep learning and training and optimization processes, data transformation and feature engineering.

• AI model development --- training, development, deployment, post-deployment testing and monitoring of LLM and deep learning models pertinent to the mental health project.

Required educational qualification, experience, skills and competencies:

• Master (for Research Associate equivalent) qualification degree in data science, AI, mental health, implementation science psychiatry discipline or related field

• At least 1 years of relevant experiences in similar role / technical hands-on experience in data science and analytics

• Familiarity with PDPA, Good Research Practice, NLP and linguistics analysis

• Good written and oral communication skills (if applicable)

• Proficiency in python, R, Tensorflow, ML, deep learning, LLMs, statistical modelling

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

• Entry level candidates are welcome to apply

Job Scope:

• Assist in maintaining 2 of the science labs
• Responsible for setup, clean up and general maintenace of science lab/classroom
• In charge of department stock taking and inventory management.
• Preparing apparutus and assist the science teacher in the science lab
• Assist in student management/ classroom management if required

Requirements:

• At least ‘N/O' levels qualification
• Relevant work experience as a teacher's aide/science lab assistant in school setting
• Familiar with MS Office (Powerpoint, Excel etc)
• Possesses good communication skills to liaise with teachers, students, and other stakeholders

Working Hours: Mon to Fri: 7am to 4pm (45 mins unpaid lunch break)

Contract Period: 5 months

Salary: $2100-$2170/month

Location: Hougang

EA License No.: 96C4864

Reg No.: R26159658 BRANN LEONG CHUN HOE

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

Job Description:

• Collaborate with the Project Leader to execute the MOE-TIF project on AI-driven optimization of aeroponic systems.
• Manage and operate aeroponic cultivation systems for leafy vegetables and high-value fruiting crops.
• Design and conduct experiments to investigate plant physiological responses under different spray regimes and nutrient formulations.
• Monitor plant growth parameters, nutrient uptake efficiency, and environmental conditions to support AI model training.
• Plan and execute experiments, prepare progress reports, and provide regular updates on project milestone.
• Assist in system installation, maintenance, troubleshooting, and modification of aeroponic equipment.
• Document experimental data, analyse results, and contribute to project reports and publication.
• Coordinate with industrial collaborators and support pilot testing at partner farm sites.
• Manage procurement processes, including liaising with vendors, sourcing materials, equipment, and testing supplies, and raising purchase requests.
• Document and track project issues, expenses, budget, action logs, and equipment maintenance.
• Perform any other related duties as assigned by the Project Leader.

Job Requirement:

• Relevant qualification in Agricultural Science, Food Science, Horticulture, Plant Science, Agricultural Engineering, Biotechnology, or related disciplines.
• Hands-on experience in urban agriculture cultivation, plant nutrition management, and controlled environment agriculture systems.
• Experience in operating cultivation equipment and designing controlled experiments.
• Ability to work effectively in a team and follow project timelines and operational arrangements.
• Proven ability to plan, organize, and manage multiple tasks with a strong sense of responsibility to meet project milestones. 
• Candidates from related industries who are interested in transitioning into aeroponic and smart urban agriculture are encouraged to apply.
• Successful candidates will be employed on a contract basis for two year duration of the project.

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. For more details, please view https://earthobservatory.sg/

We are looking for an ambitious and highly motivated Research Assistant to work under the supervision of a Project Manager. The role will focus to support the communication and translation of various research outcomes to various stakeholder groups, including but not limited to the public, government agencies, and NGOs through clear, engaging and evidence-based content and outreach activities. As ASE and EOS together form an interdisciplinary research and education ecosystem, the incumbent may also be required to support with content development and communications activities related to Asian School of the Environment (ASE). The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school that aims to be a world leader in environmental research focused on Asian environmental challenges.

Key Responsibilities:

• Generate social media and digital content on topics related to geohazards, environment, and the funded research projects.

• Research and evaluate effective science communication strategies, including the potential role of Generative AI in facilitating science communication of research topics to diverse audiences.

• Support the research group in science communication and outreach activities.

• Assist with stakeholder engagement activities related to earthquake hazards, disaster response, and sea-level rise.

Job Requirements:

• Bachelor’s degree in Communications or a related discipline.

• Background in art, design or digital media, with familiarity or interest in environmental science.

• Strong design and copywriting skills, with a deep understanding of digital culture and social media trends and the ability to create engaging content for student and young adult audiences.

• Ability to work methodically and collaboratively, with strong problem-solving skills and the ability to meet deadlines.

• Proactive and detail-oriented, with a growth mindset and eagerness to learn.

• Proficiency in Adobe Photoshop, Canva, CapCut, DaVinci Resolve, and other relevant video editing tools.

• Proficiency in photography, photo editing, and videography using mirrorless and DSLR cameras.

• Existing networks or connection with nature, climate action, or environmental communities in Singapore and/or Southeast Asia.

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

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

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.

Location: Tampines

Working Hours: 4 weekdays + 1 weekend

Inspire Young Minds Through Science Education