Total 560 Education / Training job vacancies

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28HCI%2C-Human-AI-Collaboration%29/33423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a highly motivated Research Assistant to work on the co-design and development of human–robot collaboration interfaces for high-risk operational scenarios such as chemical spill response and urban search-and-rescue.

The Research Assistant will work on designing, prototyping, and evaluating interactive systems that integrate explainable on-device AI and small language models (SLMs) to support human operators in making faster, safer, and more confident decisions. You will collaborate with a multidisciplinary team of researchers, especially research fellows and industry partners.

This role is ideal for candidates interested in applied HCI research, rapid prototyping, user-centered design, and translational AI systems progressing from early-stage concepts toward system-level demonstrations

Major responsibilities:

• Support requirements gathering with domain experts and industry collaborators, including field observations, interviews, and task analysis.
• Assist in the design of interfaces that promote shared mental models, transparency, and explainability in human–robot collaboration.
• Develop UI prototypes and interaction concepts through iterative user-centered design cycles with end-users.
• Run benchmarking experiments and user studies with human operators, including experimental setup, data collection, and post-trial analysis.
• Contribute to dissemination activities, including conference papers, posters, demos, and documentation.
• Participate actively in lab meetings, project reviews, and collaborative workshops with academic and industrial partners.

Experience and Skills

• Bachelor’s or Master’s degree from a reputable university in Computer Science, Engineering, HCI, or a related field.
• Strong programming experience in at least one of: Python, C/C++, Java, Swift.
• Familiarity with UI prototyping frameworks or mobile/interactive systems development.
• Experience working with experimental systems, data collection pipelines, and basic statistical analysis.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Excellent written and verbal communication skills.

• Following skills will be an added advantage Experience with human-centered design, usability testing, or interaction design for complex systems. Exposure to machine learning pipelines, deployment on edge devices, or embedded platforms. Familiarity with development environments and platforms such as VS Code, PyCharm, Xcode, Android Studio, or ADB tools. Experience with hardware prototyping platforms such as Arduino, Raspberry Pi, ESP32, or similar microcontrollers. Knowledge of virtualization or containerization tools (e.g., Docker, VirtualBox, VMware).Experience with cloud or backend services such as AWS, Firebase, or similar platforms. Prior involvement in research projects progressing toward real-world deployment or technology translation.

Why join us

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 1-year and renewable based on performance. The selected candidate will be offered competitive salaries and benefits.

How to Apply: Email CV and a short statement of interest to the NUS Career Portal.

Whatsapp: 85986715

We need to hire an prescholol teacher

The childcare is located at Marine Parade

Job Responsibilities:

Maintain Service Standards, Attendance and Reporting, Lesson Planning, Engagement Strategies, Classroom Management, Intervention Coordination, Goal Development, Progress Monitoring, Record Keeping, IEP Preparation, Safety and Administration, Communication with Families, Evidence-Based Practices, Health and Safety Standards, Resource Management, Professional Development, Confidentiality, Support Center Initiatives

Please let me know if you interested.

Salary is base on your experience,

Jie Shun Jia | EA License No.: 24C2410 | EA Registration No.: R24124440 (FENG YINGJIE)

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-Design-Landscape-Design-Decision-Support-Tools-%29/33432-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture at NUS invites applications for multiple research positions within an interdisciplinary research project about urban ecosystem services. Successful candidates will join a dynamic and collaborative team engaged in large-scale, externally funded projects addressing pressing urban challenges in Singapore and globally. The positions offer a supportive research environment, competitive remuneration, and access to state-of-the-art facilities.

The research fellow is expected to join at the end of 2026. The position is a one-year appointment and might be renewed up to 3.5 years based on the performance and career plan of the hired person.

Responsibilities
•    Assess landscape performance (visual, spatial, and functional)
•    Apply geospatial and image-based analysis methods
•    Develop digital decision-support tools for landscape design
•    Support project coordination and delivery

Qualifications

•    PhD in Landscape Architecture, Computer Science, Data Science, or related field
•    Experience in point cloud analysis or real-time object tracking
•    Proficiency in programming and data-driven design workflows
•    Experience in tool development and visualization preferred
•    Strong problem-solving and project management skills

YOUR FUTURE SELF WILL THANK YOU FOR THIS.

Going through school, entering the workforce…
There appears that tiny voice in your head asking, “What’s next for me?”

At this point, many feel the pressure to have everything figured out — but the truth is, even people in their thirties are still exploring..

Well, school teaches you the theory. Work gives you the experience.
Theory explains how things should work. Experience shows you how they actually do.

Here at Catalyst Marketing, we support recognised brands across telecommunications, edu-tech, and non-profit industries by delivering face-to-face marketing solutions while investing in leadership development and personal growth.

As a Brand Experience Advisor, you are the face of the brand — creating positive customer experiences and representing clients with professionalism, confidence, and authenticity.

Phase 1: The Foundation — the starting point where you build essential knowledge and core skills

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-%28Embodied-Robotic-Manipulation%29/33422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The postdoctoral position focuses on advanced research in robotic systems and embodied intelligent technologies, particularly robot multimodal perception, 3D scene understanding, vision-guided manipulation, and autonomous robotic operation in complex environments. Research topics include, but are not limited to, robotic multimodal perception and sensing, object pose estimation/tracking, robotic closed-loop manipulation, intelligent robotic platforms, and integrated perception-planning-control systems. The appointee will be responsible for conducting high-impact research, developing robust robotic perception and manipulation systems, building and validating robotic platforms in real-world scenarios, publishing in top-tier journals and conferences, supporting research proposal preparation, and mentoring junior students.

Qualifications

Candidates should have a Ph.D. in Robotics, Control Science and Engineering, Automation, or related disciplines.

Candidates with prior postdoctoral research experience will be preferred.

Applicants should demonstrate strong expertise in robotic systems, with experience in one or more of the following areas: robot perception, 3D machine vision, object pose estimation/tracking, vision-guided manipulation, autonomous robotic systems, or perception-planning-control integration.

Hands-on ability in robotic platform development, system integration, experimental validation, programming, and real-world deployment is highly desirable.

A strong track record of publications in top-tier journals and conferences, the ability to work independently, experience in research proposal preparation or student mentorship, and good communication skills in English are required.

Job Description:
We’re looking for teachers who are creative, playful, supportive, and passionate about helping students achieve their educational goals. You will be working within our centres, delivering our unique pedagogy and instilling the joy of learning Chinese.

I Can Read Chinese Teacher Requirements:

• Degree-level qualifications, preferably in Teaching/Education/Early Childhood/Chinese Language/Chinese Literature or Linguistics.
• Diploma-level qualifications must be in a relevant field such as Teaching/Education/Early Childhood Studies/Chinese Language/Chinese Literature or Linguistics.
• Proficient in Mandarin with strong oral and written communication skills.
• Preferably at least two years of related teaching experience, or similar.
• A passion for teaching young children.
• Strong communication and interpersonal skills.
• The ability to work well with co-teachers and Learning Centre Management.
• The ability to operate with a high level of integrity and professionalism.
• Willing to teach on weekends and weekday evenings.

I Can Read Chinese Teacher Responsibilities:

• Working with children between the ages of 2.5 to 12 years old.
• Teaching Chinese language skills, including speaking, reading, and writing.
• Implementing the I Can Read Chinese curriculum to enhance students’ literacy and comprehension skills.
• Teaching Academy students a variety of techniques for structured composition, critical thinking, and language development.
• Travelling between centres to conduct Academy classes, including online lessons.
• Lesson preparation and marking, including the creation of relevant teaching resources and participation in teacher and curriculum meetings on a weekly basis.
• Maintaining open communication with parents through informal, formal, and scheduled parent-teacher meetings, providing regular updates on students’ performance and progress.
• Conducting ad hoc replacement lessons and one-to-one sessions.
• Teaching I Can Read affiliated Chinese language programmes.
• Helping children develop social skills and positive classroom behaviour.
• Creating a conducive learning environment for students and safeguarding their well-being at all times.
• Assisting the assessment team in organising and conducting open house events.
• Performing any other ad-hoc duties as required.

Our esteemed client in the Logistics/ Transportation industry is seeking a Customer Service Officer/ Executive to join their dynamic team:

• Employment Type: Permanent
• Position: Customer Service Officer/ Executive
• Location: Jurong East  
• Working Hours: Monday to Friday, 8.30am to 5.30pm; Saturday half day (WFH)
• Salary Package: Basic + Bonus

Job Responsibilities:

• Manage and coordinate existing and new customer accounts.
• Handle inbound/ outbound communications and deliver exceptional customer service.
• Prepare shipment quotations and arrange shipments according to customer needs.
• Maintain positive relationships with both customers and vendors.
• Proactively resolve customer issues.

Job Requirements:

• At least NITEC in Logistics, Supply Chain, Business Management or related discipline.
• Minimum 1 year of related working experience.
• Able to start work in short notice.

Ready to apply? Here’s how: 

• Click the APPLY button, or 
• Email your resume (in MS Word or PDF format) to adelin@intuitrecruitment.com. Include the job title in your email subject line for prompt processing. 

Only shortlisted candidates will be notified. 

By submitting your application, you consent to the collection and use of your personal data under Personal Data Protection Act (PDPA). 

Adelin Chong | EA Personnel Reg No.: R1875641 

Intuit Recruitment Pte Ltd | EA License No.: 25C2793 

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%2C-AI-%28School-of-Computing%29/33416-en_GB/?st=6AA3089AAA04B6DCA01FC3ECA2343BEB943EC99C

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

We are seeking highly motivated and skilled researchers to drive innovation in trustworthy AI. The ideal candidate should possess expertise in one or more of the following research areas:

•    Model Robustness and Safety: fairness, value alignment, adversarial robustness, model jailbreaking, etc.
•    Cognitive capabilities: reasoning model, mitigating model hallucination, symbolic knowledge machine learning, etc.
•    Multilingual and multicultural foundation models

The successful candidate will work on advanced techniques across various data modalities, including textual, visual, and auditory data.

You will be expected to:
•    Collaborate with a diverse team of computer scientists and domain experts to contribute to an interdisciplinary research programme.
•    Conduct rigorous research and develop innovative solutions to complex problems.
•    Publish and present research findings in academic journals and conferences.
•    Develop and present demos for your research.
•    Assist in the development and testing of algorithms or behavioral models.
•    Participate in regular team meetings and contribute to collaborative efforts.

Key Responsibilities:
•    Investigated the ethical and technical boundaries of AI safety, providing critical insights for new research directions.
•    Develop state-of-the-art methods for improving the trustworthiness of multimodal models.
•    Collaborate with a multidisciplinary team of researchers, data scientists, and engineers.
•    Publish research findings in top-tier conferences and journals.

Qualifications

•    A PhD degree in Computer Science/Computer Engineering.
•    The candidate’s track record in publication and strengths as an independent researcher are valued.
•    Strong experience in machine learning and deep learning.
•    Excellent programming skills in Python, TensorFlow, PyTorch, or similar frameworks.
•    Proficiency in handling multimodal data, including text, images, audio, and video.
•    Good written and verbal communication skills in English
•    Prior publications in major machine learning (NeurIPS/ICML/ICLR), computer vision (CVPR/ICCV/ECCV), or multimedia (ACM Multimedia) conferences is a plus

Preferred Qualifications:
•    Prior experience in interdisciplinary research.
•    Interest in the impact of digital technologies and AI safety on society.

Well Established Company
Salary: $2300 - $2500 + Performance Bonus
Working location: West Area
Working hours: Normal Working Hours
Class 3 License Required
Take-home pickup and claimable seasonal parking

Job Responsibilities:

• Perform timely and safe delivery of goods (spare parts) to customers at assigned locations
• Load and unload items, ensuring proper handling and care
• Plan delivery routes efficiently to meet schedules
• Maintain cleanliness and basic upkeep of the assigned vehicle
• Ensure accurate documentation of deliveries (e.g., invoices, delivery orders)
• Other Ad-hoc tasks assigned (helping out in the warehouse, etc)

Requirements:

• At least 1 year of experience in a similar field (driver, general worker, technician)

• Valid Class 3 driving license

Candidates are encouraged to apply to this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background
  

We regret that only shortlisted candidates will be contacted.

Barry Ang Ze Xin (Reg No : R26159529)

EA Recruitment Pte Ltd

EA License No: 21C0492

This work contributes directly to strengthening Singapore’s position as a future-ready global aviation hub, enabling more efficient, resilient, and intelligent airport operations through data-driven research and operational innovation.

Job Requirements

• PhD degree in Operations Research, Industrial Engineering, Systems Engineering, Computer Science, Computer Engineering, Data Science, Electrical Engineering, Mechanical Engineering, or a related discipline with rich AI experience.

• Strong programming and data analysis skills, preferably using C/C++, JAVA, or similar.
• Experience in data analysis, cleaning, and visualisation, particularly for real-world sensor data (e.g., surface radar, GPS, and weather data).
• Experience in simulation, optimisation, or decision-support systems applied to transportation or airport operations is highly desirable.
• Experience in process modelling, operational concept development, and workflow analysis for large-scale operational systems.
• Strong background in airport operations, air transport systems, or complex system modelling, with experience in operational analysis and systems-level thinking is a plus.
• Demonstrated ability to conduct independent, high-quality research and translate ideas into deployable prototypes.
• Strong communication and collaboration skills, with the ability to work effectively with domain experts and operational stakeholders.
• A strong sense of ownership, research integrity, and the ability to deliver high-quality work under tight timelines.
• A genuine passion for advancing AI technology and translating research outcomes into real-world operational impact.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Are you looking for a career with clear progression, performance-based rewards, and real growth opportunities? 

UpSails work with established multinational brands to deliver effective marketing campaigns and drive market expansion. We are currently seeking motivated individuals who are ready to build a long-term career and take on leadership responsibilities. 

Why Join UpSails 

• Clear and structured career progression into leadership roles 

• Performance-based earnings with no income ceiling 

• Comprehensive training and mentorship provided (no experience required) 

• Opportunity to work with established international brands 

• Regional travel opportunities for top performers 

• Supportive, team-based environment with a strong focus on personal development 

Key Benefits 

• Competitive earnings, uncapped

• Weekly performance incentives and bonuses 

• Overseas exposure and learning opportunities 

• Hands-on leadership development and mentoring experience

• Regular team and bonding and development sessions 

Key Responsibilities 

• Represent clients through face-to-face marketing and customer engagement 

• Build and maintain strong customer relationships 

• Drive brand awareness and sales performance

• Participate in ongoing training and development programs 

• Support and mentor new team members as you progress 

Requirements 

• Singaporean and permanent residents 

• Strong communication and interpersonal skills 

• Positive attitude with a willingness to learn 

• Able to perform in a fast-paced environment 

• Self-motivated and results-driven 

Apply NOW. If you are looking for a platform where your performance directly impacts your career growth and income, we encourage you to apply. 

Only shortlisted candidates will be notified. 

Job Description

• Work with children aged 18 months to 6 years old
• Conduct lessons with children in accordance to company's and ECDA's policies, guidelines and framework
• Undertake operational and administrative duties for the centre to ensure compliance to industry regulations and smooth-running
• Create a safe and enriching learning environment for children
• Conduct routine care for children, keep accurate records of children's progress
• Evaluate lesson plans
• Communicate with parents on the progress of children development
• Good communication and interpersonal skills
• Fresh graduates are welcome! Training is provided

• Engage in full cycle recruitment process from sourcing, matching, and onboarding of candidates
• Handle candidates regarding their employment issues

Application Procedures

Interested candidates, please email your resume to:

Attention: Jamie Tan Pei Zhen (CEI No. R2199473)

jamietan@recruitexpress.com.sg

Recruit Express Pte Ltd (EA 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-%28Electronics-Engineer%29/33426-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor system based on Yb-Ba ions emphasizing on the performance rather than on the qubit numbers. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg

Company Overview

We are an AI-driven technology company building a smart learning platform that transforms how students learn and solve problems. Our product leverages AI, including LLMs and intelligent content systems, to deliver personalised learning experiences.

Job Summary

You will design and build AI-powered features for our product, applying Machine Learning and Generative AI techniques to real-world applications such as LLM workflows, content intelligence, and system optimisation.

Responsibilities

• Develop and implement AI, Machine Learning, and Generative AI solutions to enhance product capabilities
• Design and build applications using large language models (LLMs), including prompting, embeddings, and retrieval-augmented generation (RAG)
• Optimise AI models for improved performance, reduced latency, and cost efficiency
• Build and maintain scalable AI services and APIs integrated with backend systems
• Process and manage both structured and unstructured data to support AI functionalities
• Ensure system architecture supports scalability and reliability of AI features
• Conduct model testing and monitor performance metrics to ensure quality
• Troubleshoot issues and implement improvements to enhance model accuracy and robustness
• Implement feedback loops to continuously refine AI models based on user and system data
• Collaborate effectively with product and engineering teams to align AI development with business goals
• Follow best practices in coding and documentation to maintain high-quality software standards
• Participate actively in code reviews to ensure code quality and knowledge sharing

Required competencies and certifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• Proficient in Python programming and software engineering fundamentals
• Experience in building APIs and backend systems
• Understanding of machine learning concepts
• Familiarity with RESTful APIs and database systems
• Ability to work independently with effective communication skills

Preferred competencies and qualifications

• Experience with large language models (LLMs), prompt engineering, embeddings, or retrieval-augmented generation (RAG)
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow
• Experience with cloud platforms including AWS, GCP, or Azure
• Knowledge of containerization (Docker), continuous integration/continuous deployment (CI/CD), or MLOps practices
• Experience working with vector databases