Total 6,251 Education / Training job vacancies

Location: 6 Yishun Industrial Street 1, #01-09/10/11 NorthView BizHub, Singapore 768090

Job Responsibilities:

• Plan, supervise and deliver the program in accordance with the policies, guidelines, frameworks and philosophy of MindChamps
• Prepare and implement the programs and age-appropriate teaching aids
• Keep accurate records of children’s progress and address the children's educational and developmental needs individually
• Complete the progress reports of the children for each semester and prepare a developmental portfolio for every child
• Communicate with parents via the Connection Book at least once a week, weekly team newsletters and conferences
• Meet the parents to address any concerns
• Use positive discipline techniques at all times
• Guide and supervise the Assistant Teacher in the classroom
• Render basic first aid as and when necessary
• Responsible for the upkeep of teaching resources, arrangement, appearance, decorations, and learning environment of the classroom
• Be familiarised with all working curriculum documents, handbooks and policy manuals

Job Requirements:

• Diploma in Early Childhood Care & Education – Teaching (DECCE-T)
• Fluent in English/Chinese Language (spoken and written) as lessons are conducted in English or Chinese (Good written and verbal communication skills in Chinese to conduct teaching lessons in Chinese language and also to communicate with Chinese speaking parents and students)
• Creative and inspiring with loving energy
• Excellent communication and classroom management skills
• Knowledge in educational development

Additional Information:

• Up to 21 days of Annual Leave
• Low Teacher-Children Ratio!
• Attractive remuneration and staff welfare benefits
• Ample opportunities for Career Progression
• Friendly and Conducive working environment
• Comprehensive HQ training for all teachers!
• Strong Curriculum team and mentorship programs available!
• Company Sponsorships
• Permanent positions

Click on the "Apply Now" button with your comprehensive resume to secure a MindChampion career!

For more information about MindChamps, please visit www.mindchamps.org.

We regret that only short-listed candidates will be notified.

Required Skills

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Create multi-agent systems and equip AI models with function/tool-calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
• Optimize agentic workflows and AI agents for production use cases
• Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

We are seeking a Java Developer to design, build, and maintain high-performing, scalable, and enterprise-grade Java applications. You will be a key part of our engineering team, collaborating with cross-functional teams to translate business requirements into functional, high-quality software.

Application Development: Translate software requirements and use cases into clean, efficient, and functional Java applications.

Code Quality: Design, build, and maintain highly reusable, reliable, and testable Java code.

Testing & Debugging: Conduct unit and integration testing to ensure reliability, and proactively identify and resolve bottlenecks and bugs.

No experience is fine! Training will be provided. Only Singaporean can be considered.

Interested applicants please send your resume to rita@recruitexpress.com.sg

Rita Shi Tianhe

Recruit Express Pte Ltd

EA License Number - 99C4599

EA Personnel Number - R26162019

• Ensure suppliers’ invoices and credit notes are processed on a daily basis, accounted for and properly recorded
• Ensure accuracy in the cost center and accounts assignment when processing payments
• Validate purchase by performing 3 way system matching of invoice, purchase order and receiving. Review, reconcile and resolve the invoice discrepancies
• Process Petty Cash transactions and work with the Petty Cash custodian Team on the reconciliation and cash top up
• Record the payment transaction to students
• Execution of the vendor payment runs based on payment schedule
• Vendor Master Maintenance - Liaise with supplier to provide vendor creation form, update bank details in ERP system
• Review and reconcile vendor’s Statement of Account
• Responding to vendor and other stakeholder’s queries.
• Assist with any other duties, tasks or jobs with similar levels of responsibility and complexity to the assigned job grade as may be reasonably requested by the line manager and/or the College.

Joy Yeow Zhi Qian
(CEI Registration No: R2096261)
 Recruit Express Pte Ltd (EA Licence No: 99C4599)

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.

Key Responsibilities

• Deliver instructor-led and virtual training across Microsoft technologies including Microsoft 365, Azure, Power Platform, Copilot, and SharePoint
• Facilitate hands-on sessions to ensure practical application of concepts
• Develop and maintain training materials such as course outlines, presentations, and lab guides
• Align training content with Microsoft updates and vendor standards
• Work with stakeholders to identify training needs and address capability gaps
• Conduct training needs analysis and recommend appropriate learning solutions
• Utilise LMS and virtual platforms for delivery and tracking
• Evaluate training effectiveness and improve content and delivery

Requirements

• Diploma or Degree in Information Technology, Computer Science, or related field
• Proven experience as an IT Trainer or Technical Instructor
• Strong hands-on experience in Microsoft technologies (Microsoft 365, Azure, Power Platform)
• Strong communication and presentation skills

Preferred / Advantage

• Microsoft Certified Trainer (MCT), ACLP, or other relevant certifications
• Experience with LMS and e-learning platforms
• Ability to simplify technical concepts for non-technical audiences
• Self-driven with strong organisation and time management skills

Tyson Jay Management Pte Ltd | EA License No.: 24C2479

Ivan Lim | EA Personnel No.: R1109856

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/

Pioneer
8.30am - 5.45pm (Mon - Thurs), 8.30am - 5.15pm (Fri)

Up to $3K - Executive

Up to $3.8K - Senior Executive

Executive:

·    Experience or keen in automating processes using robotic process automation.

·       Handle diverse student enquiries received through One Stophotlines, emails and counter, providing accurate and prompt assistance.

·       Collaborate with relevant departments to address complex student-related queries and issues effectively.

·       Handle international student pass, adhering to relevant regulations and guidelines.

·       Support other portfolio including student insurance, degree certificate & transcript and letter of certification processes, student concession card, tuition grant and PSEA claim.

·       Cover for mailroom services, overseeing mail distribution and related logistical operations, when required.

·       Draft standard operating procedures (SOPs) for various student services processes, ensuring clarity, consistency, and compliance with institutional policies and regulations.

·       Review and propose updates to knowledge articles, aligned with changes in processes.

·       Participate in ad hoc projects and initiatives aimed at improving student services, contributing expertise and insights to cross-functional teams as needed.

Senior Executive (additional job scope):

• Support the team in managing improvement projects within the department's scope, collaborating with IT and other relevant stakeholders/departments to share points, identify requirements, implement changes, and ensure smooth integration with existing systems. 
• Propose improvements in areas of work related to One-Stop scope, leveraging data analysis and stakeholder feedback to identify opportunities for optimization and efficiency gains. 
• Experience or keen in automating processes using robotic process automation.

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-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.

Prescient Systems & Technologies Pte Ltd is a leading provider of advanced training simulator systems, committed to delivering high-quality, reliable, and innovative solutions to our clients.

We are seeking a dedicated and experienced Maintenance Engineers to join our team and ensure the optimal performance and longevity of the training simulator systems we maintain.


Job Summary:

The Maintenance Engineers will assist in the maintenance and repair of training simulator systems with a view to maintaining their operational availability. Maintenance Engineers will report to the Maintenance Manager and will assist in troubleshooting and resolving technical and administrative issues in accordance with safety and quality standards.


Key Responsibilities:

Maintenance Engineer: Carryout maintenance and administrative tasks under the guidance of the Maintenance Manager. Tasks would include the following:

Troubleshooting:
Assist in the diagnosis and resolution of technical issues with simulator systems, including hardware and software components.

Quality Assurance:
Ensure all maintenance activities comply with industry standards, safety regulations, and company policies.

Inventory Management:
Monitor and manage inventory of spare parts and maintenance supplies to ensure availability and cost-effectiveness.

Data Collection and Documentation:
Maintain accurate records of maintenance activities, repairs, and system performance.

Vendor Coordination:
Collaborate with external vendors and service providers for specialized maintenance and repair services.

Continuous Improvement:
Identify opportunities for process improvements and implement best practices to enhance system reliability and efficiency..


Qualifications:

• Diploma in Engineering, Computer Science, or a related field.
• Experience in a technical maintenance role would be advantageous. Fresh graduates are welcome to apply.
• Training will be provided.
• Ability to work effectively under pressure and manage multiple priorities.
• Singapore Citizen (Mandatory Requirement)

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• Collaborative and innovative work environment.
• Health and wellness programs.

Interested candidates, please send us a detailed resume with your expected salary and availability.

Only short-listed 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 Office of Patient Engagement (OPEN) at LKCMedicine is a dedicated Centre in Lee Kong Chian School of Medicine that integrates patient and public voices into health research and medical education, ensuring research is shaped with those who have lived experience. OPEN supports researchers and educators to embed meaningful patient and public involvement (PPI) across the research lifecycle and engages with a diverse patient partner network that collaborates on research, education, and engagement activities. Through training programmes for patient partners, researchers, clinicians, and educators, and a dedicated research programme, OPEN builds capability and fosters partnerships that strengthen the quality, relevance, and impact of health research and education, contributing to broader efforts to improve healthcare through evidence generation.

For more details, please view https://www.ntu.edu.sg/medicine/research/office-of-patient-engagement-(open). 

We are looking for a  Research Fellow or Senior Research Fellow to support the design and delivery of a structured patient and public involvement (PPI) programme for National Precision Medicine (NPM) Phase 3, in partnership with PRECISE and LKCMedicine. It contributes to building patient and public partner capability and coordinating engagement and co‑design activities that integrate patient and public perspectives into research recruitment, consent, communications, and return‑of‑results processes. Through this work, the role helps strengthen the relevance, quality, and impact of large‑scale precision medicine research.

Key Responsibilities:

• Contribute to design, data collection, analysis and interpretation of qualitative and co-design studies

• Project management of program of work, ensuring study deliverables, reports and publications are completed punctually according to study and fundingt timelines

• Perform literature searches, scoping reviews and scientific writing in the form of grants, manuscripts, reports, reviews, abstracts, posters and oral presentations

• Assist in communications with institutional review board staff regarding ethics applications, amendments, and reports

• Establish and maintain close communication with all stakeholders and study team

• Ensure all work processes meet the ethical standards of the University, Singapore Good Clinical Practice Guidelines and other applicable regulatory and ethical requirements

Job Requirements:

• PhD  degree in health services research, primary care, population health, implementation science, patient and public involvement, medical humanities, social science or related field

• At least 5 years of relevant experiences in a similar role

• Excellent written and oral communication skills, including competence in workshop and focus group facilitation, and ability to publish in high impact journals and present at local and international conferences.

• Proficiency in qualitative research, co-design, and use of related software e.g. Microsoft Suite, NVivo

• Ability to work independently, with excellent organizational and time management skills, and ability to work well within a multidisciplinary team.

• Strong leadership skills, as demonstrated by:

• Ability to build rapport and influence stakeholders at all levels

• Ability to work collaboratively in a fast-paced environment.

• Current international leadership in Asia Pacific region, or ability to generate strong networks in the Asia Pacific region.

Salary: up to $2400

Duration: 2 months contract extendable

Working Days & Hours: Mon-Fri Office Hours

Location: Tuas (islandwide pickup)

Job Description:

Transfer of materials into cleanroom areas.

Wiping down of trolleys, equipment, furniture, and materials using chlorine 1000ppm and 70% IsoPropyl Alcohol (IPA) in cleanroom environment.

Able to plan and coordinate which materials belongs to which production batch.

Perform supporting activities such as filter integrity testing, manual cleaning, autoclave sanitization load

Perform weighing and dispensing of raw material for production batches

Perform adhoc activities as assigned

Job Requirements: Min GCE A Level/Diploma in any course

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg

About Us

LITEON is a world-leading provider of optoelectronicsemiconductor components and power management modules. At LITEON we put peopleat the core - LITEON has built a culture of trust and empowerment that enhancesemployee involvement, engagement, and commitment to excellence.

About the Role

An exciting opportunity has arisen to join our CloudInfrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Researchteam is focussed on developing future technology systems to support growth inthe rapidly evolving data center sector. The successful candidate will bedirectly involved in early-stage research projects, working with academicinstitutions, suppliers, customers, and partners to deliver proof of conceptdesigns.

Key Responsibilities

• Continuously monitor market trends and industry research to define the research strategy and product roadmap.
• Drive the delivery of multiple projects, ensuring the engineering team has the technical direction and support required to deliver industry leading proof of concept designs within target timelines.
• Lead and mentor a group of engineers, supporting career development with goal setting and regular check-ins.
• Identify the skills needed in the team and help with recruitment of suitable engineers.
• Prioritise projects and allocate engineering resource.
• Work with a commitment to continuous improvement, transparency and technical expertise.
• Review designs and documentation, using technical experience to guide projects to success.
• Work as a hands-on individual contributor, researching key topics and delivering designs and documentation.
• Manage the delivery of collaboration projects with internal teams, suppliers, customers and research institutions.

Requirements

• PhD or Master’s degree in Electrical / Electronics Engineering or related field.
• 8+ years experience in power electronics research, with at least 3 years in a leadership or team-lead role.
• Strong understanding of electronics hardware design, common power electronics architectures and control.
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) andcoding practices is preferred.
• Hands-on prototyping and testing experienceusing oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, magneticsdesign, EMI, and thermal management.
• Expertise in using simulation tools (MATLAB, Simulink,LTspice, Python, etc).
• Strong analytical, problem-solving, leadershipand communication skills.
• Experience planning projects, allocatingengineering resource and project status reporting.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture

4 days, 12 hours AM/PM rotating shift (8-8)

Salary: Basic $2000 + $50 HP allowance + $220 Attendance allowance + OT

Location: Woodlands Checkpoint 

Job scope:

• Identification, maintenance and replacement of electronic equipment and computers.
• Liaise with government agency on return and collection of faulty or repaired equipment.
• Tracking and recording the fault patterns and trends for monthly progress reporting to government agency.
• Provide guidance to general public on the use of on-site equipment such as Fee Collection Terminals.

Requirements: 

• Possess certificate in NITEC/Electrical/Electronic or related discipline
• Able to work rotating shifts (4 day work week)
• Training will be provided

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279