Total 15 science job vacancies in Education / Training category in Singapore

Join one of Singapore’s most established enrichment education groups and make a meaningful impact on students’ learning journeys.

This role is ideal for candidates who enjoy working with children, communicating with parents, and making a positive impact on students’ confidence and learning development. Candidates from education and non-education backgrounds are welcome to apply, as comprehensive training and mentorship will be provided.

If you are looking for a meaningful career with structured development and progression opportunities, we would love to hear from you.

Job Scope:

• Conduct engaging and interactive lessons for primary and/or secondary level students
• Create a positive and motivating classroom environment
• Monitor students’ learning progress and provide constructive feedback
• Review and mark students’ assignments and classwork
• Communicate professionally with parents regarding students’ performance and development
• Support curriculum planning, lesson preparation, and academic activities
• Participate in staff training, development programmes, and team initiatives

Job Requirements:

• Degree in any discipline
• Strong communication and interpersonal skills
• Passion for teaching, mentoring, and working with children
• Positive attitude with strong sense of responsibility and professionalism
• Comfortable working on weekends as part of a 5-day work week
• Candidates without prior teaching experience are welcome to apply

Salary: $4,000–$6,000
Work Locations: Island wide locations available

If this sounds like you, click APPLY NOW tosend us your CV.
We regret that only shortlisted candidates will be notified.

Eleanor Ho

EA Registration No.: R1325724

EA License No.: 25C2695

Mavis has the distinction of being the most trusted brand in the tuition industry since 1986 with 17 centres island-wide and we are seeking dedicated and passionate teachers to join us to nurture students’ minds through engaging lessons!

DON'T ASPIRE TO MAKE A LIVING, ASPIRE TO MAKE A DIFFERENCE!

Job Highlights

• 5 day work week
• Paid block leaves  
• Attractive salary remuneration and variable bonus
• Medical and insurance coverage
• Multiple career track opportunities

Requirements

• Primary post – Min. Diploma
• Secondary post – Min. Bachelor degree
• Familiar with Singapore MOE syllabus
• Pleasant and friendly personality   
• Passionate in teaching and inspiring children
• Work schedule comprises 3 weekdays and 2 weekends 
• Relevant teaching experience (not required but will be an added advantage)

Core Responsibilities  

• Prepare and deliver lessons that facilitate active learning experiences based on in-house curriculum
• Establish and communicate clear objectives for all learning activities
• Adopt innovative teaching methods and create an engaging learning experience for students
• Curriculum development
• Participate in workshops/seminars/examinations

Why choose us?

• Supportive peers
• Recognition and rewards
• Room for growth and career advancement opportunities
• Comprehensive training programme tailored to enhance skill set

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

Subject Teacher - English / Mathematics / Global Perspectives

JOB QUALIFICATIONS:

• At least 2 years of teaching experience in Primary and/or Secondary school
• Well-versed in Primary and Secondary school curriculum and the GCE O-level
• Bachelor’s Degree holder or equivalent
• Teaching certificate is an advantage
• Good classroom management
• Team-player, flexible, and able to multi-task
• Passionate about professional development

JOB DETAILS:

· Organize and deliver the subject(s) curriculum and programs

· Plan lessons ang prepare learning materials and resources

· Provide a positive learning environment

· Ensure student’s well-being and safety

· Engage parents for feedback on students’ progress and gaps

· Monitor and document students’ learning progress and gaps

· Homeroom Teacher or Co-Homeroom Teacher

· ECA/CCA and student support

· Any other duties as assigned by the principal and management

Kindly copy and paste the link below into your browser to view the details and application process for the position:

https://hfse.edu.sg/submit-application/?job-portal=2481&job-id=3091063&org-name=hapi-haus&job-title=Subject%20Tuition%20Teacher%20-%20English

SUBJECT TUITION TEACHER - ENGLISH

JOB QUALIFICATIONS:

· Bachelor’s Degree in Education, or a related field (preferred) or Diploma in Education, Teaching, or relevant certification for non-degree holders).

· Strong subject knowledge and familiarity with the local curriculum.

· Professional teaching certification (optional but advantageous).

JOB DETAILS:

Teaching & Lesson Planning

· Prepare and deliver engaging lessons tailored to students’ needs and learning levels.

· Develop lesson plans and teaching materials aligned with the curriculum.

· Use innovative teaching methods to enhance understanding and retention.

Student Assessment & Progress Monitoring

· Assess students' strengths, weaknesses, and learning styles.

· Provide regular feedback and performance reports to students and parents.

· Assign and evaluate practice work, quizzes, and assessments.

Classroom Management & Engagement

· Create a positive and encouraging learning environment.

· Maintain discipline and encourage active student participation.

· Adapt teaching strategies to accommodate different learning paces.

Parent & Stakeholder Communication

· Communicate progress, challenges, and recommendations to parents/guardians.

· Provide guidance on study techniques and exam preparation.

Administrative Duties

· Maintain accurate student attendance and performance records.

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-%28Statistics-and-Data-Science%29/33447-en_GB/?st=DDCF370D747A170FC6C5B7C7D0F8F5BB9E65FE37

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Alexandre THIERY on representation learning and high-dimensional time series under a project on "Particle methods for data-assimilation".

The main responsibilities of the position include:
•    Methodology development
•    Implementation of the methods
•    Publication in journals and conferences
•    Presentation of work at conferences

Qualifications / Discipline:
•    PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:
•    Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
•    Strong background in statistical modeling and machine learning
•    Proven ability to develop and implement complex algorithms
•    Excellent written and verbal communication skills
•    Capable of conducting independent research and working collaboratively

Experience:
•    Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
•    Demonstrated experience in developing novel methodologies in representation learning
•    Strong record of presenting at international conferences and workshops

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:

• Designing and developing scalable algorithms for building Data+AI systems.

• Writing research papers of high quality based on research results

• Building deployable Data+AI systems based on the research results.

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.

We are seeking to appoint a Research Associate who will contribute to NTU's mission of advancing system security, privacy-preserving computing, and intelligent vulnerability analysis. The ideal candidate will provide strategic research support in bridging low-level system architecture with AI-driven security solutions. This role requires strong expertise in developing formally verified confidential computing environments, optimizing machine learning architectures for secure inference, and building multi-agent pipelines for protocol specification analysis. By driving these interdisciplinary efforts, the appointed researcher will play a pivotal role in NTU's strategic initiatives to build trustworthy, resilient, and efficient computing ecosystems, while fostering innovative collaborations across academia and industry.

Key Responsibilities:

• Conduct cutting-edge research at the intersection of system security, privacy-preserving computing, and intelligent vulnerability analysis.

• Design and implement formally verified, hardware-assisted isolation environments for confidential cloud computing.

• Formulate optimization strategies for machine learning architectures to enable high-performance secure inference.

• Develop multi-agent frameworks driven by large language models to systematically analyze protocol specifications and predict implementation vulnerabilities.

• Collaborate with academic and industry partners to translate advanced security paradigms into real-world applications.

• Prepare and co-author high-quality research papers for premier venues in security, systems, and software engineering.

• Contribute to proposal writing and grant applications in hardware-software co-design and AI-driven security.

• Support the supervision and mentorship of undergraduate and postgraduate students in related projects.

• Assist in building experimental platforms and validation datasets for protocol analysis and confidential computing frameworks.

Requirements:

• Masters degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in system security.

• Experience with privacy-preserving machine learning, AI-driven vulnerability analysis, and vulnerability detection tools.

• Knowledge of cryptographic protocols such as Multi-Party Computation.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Strong academic writing and publication track record, with contributions to international conferences (e.g., ICSE).

• Strong analytical and problem-solving skills, particularly in bridging low-level system architectures.

• Proficiency in experimental design, evaluation benchmarks, and reproducibility of results.

• Excellent communication and collaboration skills in multidisciplinary teams.

• Ability to mentor and support students in research activities and software projects.

We regret that only shortlisted candidates will be notified.

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.

Basic Salary: $3000-$3500
Working Hours: Mon-Fri | 10am-7pm
Working Location: City Square Mall

Responsibilities: 

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct franchise unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements

• Diploma or higher in Math or Science.
• Minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects (Preferably Both Math & Science)

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Overview

The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research.  NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused and values-based programmes and initiatives.

An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 10 in the world for research impact in the field of Education.

The Science of Learning in Education Centre (SoLEC) is a dynamic young research center with the ambition to become an international leader in Science of Learning in Education. Hosted at the National Institute of Education (NIE), SoLEC advances cutting- edge research by integrating insights from neuroscience, cognitive science, psychology, physiology, education, technology and AI in Education.

We are seeking outstanding candidates whose expertise lies at the intersection of these fields, with a proven track record in multi-disciplinary research.

Candidates with appropriate qualifications and relevant research experience are encouraged to apply. We invite applications for the position of Education Research Scientist to join SoLEC.

Requirements

• PhD in relevant discipline (e.g. Neuroscience, Educational Psychology, Cognitive Science, Learning Sciences, Educational Technology or a closely related field);

• Minimum 2 years of post-PhD experience;

• Ability to lead and collaborate within research teams;

• Strong track record in the following areas:
  - Publishing in high quality, peer-reviewed journals
  - Securing competitive, peer-reviewed research funding
  - Conducting independent, innovative research;

• Excellent interpersonal and communication skills (spoken and written English).

Responsibilities

The successful candidate will be expected to:

• Design and implement SoLEC’s research programmes in collaboration with colleagues;

• Lead the development of research projects and secure external funding opportunities;

• Publish internationally in peer-reviewed journals and disseminate impactful findings;

• Translate research into practice and policy impact within education systems;

• Manage administrative and programme‑related tasks to ensure smooth operations;

• Contribute to strategic research initiatives of SoLEC, OfR, and NIE;

• Participate actively in the wider research and service community of NIE.

Application

Interested applicants should complete and submit the following documents:

• Cover letter addressing how you meet each of the requirements of this position;

• Curriculum vitae (including qualification, publications, records of competitive grants and graduate supervision, if applicable);

• Research statement indicating your research areas and accomplishments, highlight best research papers with Tier 1 publications, and research plans;

• Any other documents that demonstrate your qualifications.

Closing Date

The closing date for applications is 20 July 2026.

Other Information

More information on SoLEC can be found at https://www.ntu.edu.sg/nie/science-of-learning-in-education-centre.

Note to applicants:

We regret that only shortlisted candidates will be notified via email.

• Location:  Woodleigh
• Working Days: 5.5day
• Working Hours -Monday to Friday 1030am to 7pm- Saturday 9.30am to 1.30pm
• Salary : $2,200 - $3,400

Job Responsibilities

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 5) to ensure completion of daily homework.
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct unique enrichment programmes.
• Ensure safety and timely transfer of students from school to student centre.
• Ensure safety of children within the premises.
• Any other ad-hoc duties as delegated by Centre Director.

Job Requirements

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

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.

Location: 1187 Upper Serangoon Rd, #01-36/37 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)

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

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-%28Dept-of-Materials-Science-and-Engineering%29-1/30162-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. 

Qualifications

PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines.