Total 777 Education / Training job vacancies in PASIR GUDANG

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-%28Nano-Electronic-Process-and-Devices%29/33223-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open under the supervision of Prof. Gong Xiao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).   The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects.  The project aims to explore advanced semiconductor electronic devices for future advanced integrated circuits.

Qualifications

1.    Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 
2.    Strong knowledge in semiconductor device physics. 
3.    At least 4 years in simulation, fabrication, and testing of semiconductor devices. 
4.    Proficient in simulation software, such as Sentaurus, Spice, matlab, FDTD, etc.
5.    Possess relevant expertise proven through coursework and projects during his/her studies.
6.    At least 3 strong publications as the first authors in top conferences and journals.  
7.    Excellent academic track record from well-recognized universities. Excellent course work with strong academic performance. 
8.    Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently. 
9.    Work well with team and be independent, and be able to balance well between advancing his/her own research and contributing to the larger team’s success. 
10.    Be committed to work effectively and strong desire to make a difference in pushing the frontiers of semiconductor technology. 
11.    Open to Fixed Term Contract.

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-EngineerAssistant-%28Interdisciplinary%29%2C-ChBE/33229-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Engineers, Research Assistants, and Ph.D. students in the research group of Prof. Soh Siow Ling, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Bachelor’s degree from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

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-%28Mathematics%29/33227-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will work closely with the research team to develop advanced methods in Reinforcement Learning under Uncertainties for Reliable Autonomous Decision-Making in Finance. 

Primary responsibilities will include:
•    Data Management: Utilize proficiency in SQL, NoSQL, and vector databases to collect, clean, and manage data for research projects.
•    Research Assistance: Collaborate on research initiatives focused on decision-making in finance, applying quantitative finance and econometric methodologies to analyze data and develop models.
•    Machine Learning: Apply expertise in reinforcement learning and traditional machine learning algorithms to develop predictive models and optimal strategies.
•    Programming: Utilize skills in Python, TypeScript, and JavaScript, along with frameworks like PyTorch, to implement and test quantitative models.
•    Financial Expertise: Apply knowledge of finance, especially in risk management and equity markets, to contribute valuable insights to research projects.
•    Communicate research outcomes through peer-reviewed publications and other scholarly dissemination channels.

Qualifications / Discipline:

•    PhD in Mathematics/Statistics/CS. 

Skills:
•    Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning.
•    Strong programming skill  in Python, TypeScript, and JavaScript, along with frameworks like PyTorch. 
•    Excellent problem-solving abilities and attention to detail. Strong written and verbal communication skills.

Experience:
•    Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:
https://careers.nus.edu.sg/job/Visiting-Research-Associate-Professor-%28Institute-for-Functional-Intelligent-Materials%29/32674-en_GB/?st=78E0AE07129EE61FBEAFCAE8FC083458771292BE

Job Details

Location: Kent Ridge

Working Hours: Mon-Fri, Office Hour

Work Type: 3-Month Contract

Salary: Up to $ 4,000 per month

Our client is seeking a dedicated Temporary Research Officer to support multidisciplinary projects in the area of child health and early-life development. The research focuses on the epidemiology of diseases in children and the impact of the exposome during the early developmental phases of life on early life outcomes. Majority of the work is based in the birth cohorts Growing Up in Singapore Towards healthy Outcomes and Singapore Preconception Study of Long-Term Maternal and Child Outcomes. The selected candidate will be involved in microbiome and statistical data analysis.

What you will be working on?

The ideal candidate will be involved in microbiome research, statistical analysis, and contributing to the production of scientific outputs.

• Perform statistical data analysis, including microbiome datasets
• Conduct literature reviews to support ongoing research
• Assist in the development of scientific papers and dissemination of research findings
• Provide administrative and operational support for research activities

What are we looking for?

• Singaporean only
• Bachelor’s Degree in Biomedical Science or relevant discipline
• Knowledge of microbiome and statistical analysis (e.g. R and SPSS) is advantageous
• Prior research experience is advantageous
• Highly motivated and able to work independently

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

Job Details

Location: Buona Vista
Working Hours: Mon-Fri, Office Hour
Work Type: 5-Month Contract
Salary: $ 2,650 per month

What you will be working on?

• Programme Administration: Managing the full course, including registration, materials preparation, room setup, and database/records management.
• Logistics & Operations: Coordinate travel, manage vendors/suppliers, and procure event-related items.
• Financial Management: Oversee timely invoicing, payments to trainers/vendors, and budget monitoring (revenue/expenses/accruals).
• Stakeholder Engagement: Act as a liaison for foreign delegates, associate trainers, and internal units (Finance, AV, Estate) to ensure seamless delivery.
• Compliance: Maintain service standards and meet team KPIs while providing regular progress updates to management.
• Tech-enabled: Able to prepare customised evaluation in Online Feedback System, and capture participants outreach in Training Administration System efficiently.

What are we looking for?

• Singaporean only
• Minimum A-Level/Diploma in Event Management/ Business Management or relevant discipline.
• Prior experience in event management and coordination would be advantageous.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Carmen Tan Huei Mun | R23115837
ScienTec Consulting Pte Ltd |11C5781

PositionOverview

This rolewill be responsible for the operation and management of the AI academiccommunity, GAIR DAO Community (www.gairdao.com),while also driving engagement and collaboration with academic resources andresearchers.

KeyResponsibilities

1.Academic Outreach & Partnership Development

• Leverage local Singapore universities (such as NUS, NTU, and SMU) to proactively maintain and expand long-term relationships with AI researchers, PhD students, and leading research laboratories, building a stable academic collaboration network.
• Establish and maintain connections with a broader academic audience, including authors of high-impact research papers and overseas Chinese students, through participation in international academic conferences and other technology-related events.
• Convert established academic connections into long-term collaborations, such as inviting scholars to participate as guests on our podcast series “GAIR Live” , or engaging them in academic content co-creation initiatives.

2.Community Content Operations & Management

• Publish and synchronize key content produced by other team members (e.g., conference summaries, paper reviews, and research insights) to the GAIR DAO community platform, while facilitating meaningful discussions.
• Increase community engagement and user participation through effective community management strategies.
• Proactively propose and implement improvements to content production, engagement activities, and operational workflows.
• Regularly generate operational reports, analyze key performance indicators such as community growth and engagement rates, and provide actionable recommendations.

Qualificationsand requirements

• Excellent verbal and written communication skills in both English and Chinese.
• Results-oriented, highly organized, and capable of managing multiple tasks while maintaining consistent content output and achieving objectives.
• Strong interest in or understanding of artificial intelligence and international academic conferences.
• Prior experience in academic outreach, research community management, or related fields is preferred, such as participation in academic conferences or collaborations with universities and research institutions.
• Singapore or PR only .

WorkEnvironment & Travel Requirements

This rolerequires participation in leading international academic conferences heldworldwide. Key responsibilities at these events include:

• Networking with scholars and maintaining records of relevant contacts and information.
• Supporting conference-related content development and gathering materials for future content creation.
• Contributing to timely original content such as conference highlights, quick commentary, and event recap articles.

Interestedparties, please sent detail resume to : admin@gair.sg

We arecommitted to building a global academic content platform and look forward towelcoming you to our team.

English Teacher – Early Years (Ages 2–6) International Kindergarten | IB-inspired | French Curriculum Foundation

Job Summary

You will teach the French National Curriculum in English to children aged 2 to 6 using play-based, inquiry-driven methods. Collaborate with French and Mandarin teachers to create coherent learning pathways and support children’s development in a multilingual environment.

Responsibilities

• Deliver the French Curriculum in English using play-based, inquiry-driven, and developmentally appropriate teaching methods to children aged 2 to 6, including multi-age groups
• Co-plan lessons with French and Mandarin language teachers to align learning objectives and ensure consistency across language programs
• Observe, assess, and support each child’s cognitive, social, and emotional development to tailor learning experiences
• Communicate learning observations and progress regularly with the School Principal and families to foster transparency and engagement
• Collaborate with the Classroom Assistant to manage daily routines, transitions, and learning moments effectively
• Contribute to the ongoing development and refinement of the school’s pedagogical vision and curriculum
• Supervise children during morning and/or afternoon breaks according to the schedule to ensure safety and well-being
• Participate actively in all team meetings and professional development sessions to enhance teaching practices
• Engage in school community activities such as Open Houses, community events, and end-of-year celebrations to support school life beyond the classroom
• Maintain regular communication with parents, including conducting scheduled parent-teacher meetings to discuss child progress
• Support extracurricular and enrichment activities when relevant to broaden children’s learning experiences
• Uphold and promote the school’s vision, mission, and values in all professional activities
• Foster a classroom environment based on trust, respect, emotional safety, and collaboration to support positive learning outcomes
• Maintain high professional standards and model best practices in early childhood education
• Adhere strictly to all school policies and procedures to ensure compliance and consistency
• Contribute positively to a collaborative and inclusive international school culture

Preferred competencies and qualifications

• Qualified Early Years or Primary Teacher (French curriculum experience preferred)
• Fluent English speaker
• Experience working with children aged 2–6, ideally in an international or bilingual context
• Strong understanding of early childhood development and language acquisition
• Reflective, collaborative, and passionate about innovative, child-centred education
• Comfortable working in a multilingual, multicultural environment

Why Join Us? 

• Competitive salary with year-end rewards, including service bonus up to $10,000. 

• Stable job with career growth opportunity. 

• Friendly and supportive management. 

Job Responsibilities: 

• Drive prime mover truck to transport shipping containers within PSA Pasir Panjang Terminal. 

• Ensure safe and efficient movement of containers between ships and designated locations. 

Job Requirements: 

• No experience needed- training and certification provided. 

• PSLE pass in English. 

• Possessing a Singapore Class 3, 4, or 5 driving licence (Sponsorship available for Class 3 licence). 

• Safety-conscious with a good driving record. 

• Able to handle shift work and outdoor conditions. 

Work Schedule: 

• Day Shift: 7:30 AM to 7:30 PM (meal break included). 

• Night Shift: 7:30 PM to 7:30 AM (meal break included). 

• Choose between day, night, or rotating shifts, with flexible rostering available (subject to operational needs). 

Need More Information? 

Call or text us at +65 9886 6515 to speak with one of our friendly career advisors. They’ll be happy to answer your questions and guide you through the application process! 

How to Apply: 

Click the Apply Now button and submit your updated resume. We look forward to welcoming you to our team! 

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-%28Digital-Twin-of-Data-Center%29/33224-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to develop intelligent control and digital-twin methods for energy-efficient data center thermal management. The work will involve modeling and simulation of data center cooling systems, together with the development of advanced control strategies. The candidate will use operational data, computational modeling, and optimization techniques to improve cooling energy efficiency, thermal reliability, and control robustness under dynamic IT workloads and environmental conditions.

Qualifications

•             PhD degree in mechanical engineering, control engineering, energy systems, or a related field.

•             Strong background in thermal-fluid systems, data center cooling, digital twins, and intelligent control.

•             Experience in Python/MATLAB, numerical simulation, and data-driven modeling.

•             Experience in model predictive control or reinforcement learning is preferred.

•             Good publication record in energy-efficient cooling or AI-assisted energy systems is desirable.

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-%28Interdisciplinary%29%2C-ChBE/33228-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Fellows (or Post-doctoral Fellows) in the research group of Prof. Siowling Soh, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Ph.D. from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

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-%28Interdisciplinary%29%2C-ChBE/33230-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Fellows (or Post-doctoral Fellows) in the research group of Prof. Siowling Soh, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Ph.D. from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

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-%28Mathematics%29/33226-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst.  Prof. Julian Sester on developing mathematical methods for Distributionally Robust Reinforcement Learning.

The main responsibilities of the position include:
•    Developing rigorous mathematical foundations for distributionally robust reinforcement learning under model uncertainty; 
•    Studying robust Markov decision processes, dynamic programming principles, and convergence properties of robust learning algorithms; 
•    Designing and analysing reinforcement learning algorithms based on Wasserstein, Sinkhorn, or related ambiguity sets; 
•    Establishing theoretical guarantees such as stability, convergence, approximation error bounds, or sensitivity estimates; 
•    Implementing and testing proposed methods in numerical case studies, with possible applications in quantitative finance, stochastic control, or risk management; 
•    Preparing research manuscripts for publication in leading journals and presenting results at seminars, workshops, and conferences; 
•    Contributing to the research environment of the group, including discussions with PhD students, postdoctoral researchers, and collaborators.

Qualifications / Discipline:

•    PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Quantitative Finance, or a closely related discipline.

Skills:
•    Strong background in probability theory, stochastic processes, stochastic control, optimization, or reinforcement learning; 
•    Solid mathematical training and ability to work with rigorous proofs; 
•    Familiarity with Markov decision processes, dynamic programming, distributionally robust optimization, optimal transport, or reinforcement learning is highly desirable; 
•    Programming skills in Python are desirable, especially experience with numerical experiments, machine learning libraries, or reinforcement learning environments; 
•    Good written and oral communication skills; 
•    Ability to work independently and collaboratively in an interdisciplinary research environment. 

Experience:
•    Prior research experience in one or more of the following areas is desirable: reinforcement learning, robust control, stochastic control, distributionally robust optimization, optimal transport, mathematical finance, or machine learning; 
•    A track record of high-quality research, demonstrated through publications, preprints, or a strong PhD thesis; 
•    Experience with numerical implementation of mathematical or machine learning methods would be an advantage; 
•    Experience in quantitative finance or financial applications is welcome but not required.

Senior Research Nurse

• Office Location: Buona Vista, Singapore
• Working Hours: Morning/Noon Shift (45 hours per week)
• Monthly Salary: Hourly Rate + Completion Bonus
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Clinical Care & Excellence – Deliver professional care and management of clinical trial participants, ensuring privacy and confidentiality at all times.
• Data & Equipment Handling – Collect, verify, and store trial data accurately; operate biomedical equipment proficiently within the CRU.
• Safety & Emergency Preparedness – Apply biohazard safety precautions and participate actively in Code‑blue drills, leading during real emergencies.
• Screening & Trial Execution – Perform general screening activities and protocol‑related tasks under the guidance of the Study Nurse‑in‑Charge.
• Collaboration & Coordination – Work closely with pharmacists, technologists, and support staff to ensure smooth execution of trial activities and auxiliary services.
• Compliance & Documentation – Adhere to SOPs, GCP, and regulatory requirements; maintain accurate records and demonstrate commitment to training and policy compliance.

Requirement

• Registered with Singapore Nursing Board.
• Minimum 2 years of nursing experience in direct in patient nursing.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

Shape Futures, Transform Lives

Join Maitri School's dedicated team of educators empowering students with autism spectrum disorder to reach their full potential. As Singapore embraces inclusive education, your expertise will make a meaningful difference right here in our community.

Your Role as a Maitri Educator:

• Prepare daily lessons in-line with the Pupils' IEPs alongside our Allied Health Professionals
• Monitor Pupils' progress, milestones and achievements and ensure their participation in school activities
• Guide and equip pupils with the pre-requisite / vocational skills needed for future employment opportunities
• Collaborate with parents through case conferences, or home visits to facilitate pupil's overall growth and development.

Why Educators Choose Maitri:

• Competitive compensation package with performance bonuses
• Career progression with leadership opportunities
• Manageable class sizes with dedicated teaching assistant support
• Work-life balance

Requirements:

• GCE "A" level qualifications (including General Paper); Degree or Diploma from recognized local educational institution
• DISE certification is advantageous (training sponsorship is available)
• Experience with special needs students valued (fresh graduates with passion are welcome)
• Collaborative mindset and good communication skills
• Only Singaporean or Singapore Permanent Resident may apply

Work Place: Maitri School

2026 and 2027 - 95 Jalan Eunos, 2028 - 20 Pasir Ris Street 51

Note: Only shortlisted candidates will be contacted for more information or interview.