Total 297 admin assistant job vacancies in Education / Training category in Singapore

General Scope of Work:

a) Supporting the implementation process of research study on the effectiveness of the SPED Teaching and Learning Syllabuses

b) Recording, analysing and evaluating data relating to the research study and stakeholder engagement sessions

c) Providing support for syllabus implementation in SPED schools

d) Conducting literature reviews to support syllabus implementation in SPED schools

• Location: MindSpace@The Woodleigh Mall 
• Monday to Friday : 1pm to 7pm
• Salary : $1,200 - $1,400

Job Responsibilities

• Assist teacher guide primary school children (primary 1 to 5) to ensure completion of daily homework.
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Maintain and build relationships with children and parents.
• Assist Teacher conduct unique enrichment programmes.
• Ensure safety and timely transfer of students from school to student centre.
• Ensure safety of children within the premises.
• Any other ad-hoc duties as delegated by Centre Director / Teacher.

Job Requirements

• Assistant teacher experienced
• Min Diploma in any field

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Contract Period: From 01 July 2026 to 30 June 2028.

Working Days/Hours:

Mondays to Thursdays: 7:30am to 4:30pm, inclusive of ½hr lunch break

Fridays: 7:30am to 4pm, inclusive of ½hr lunch break

The Services required are as follows:

• Resource Management
  Maintain and prepare teaching and learning resources (excluding IT equipment) in the Science Room, Mathematics Room, and Tinkering Corner, ensuring proper storage, availability, cleanliness, and safety. Maintain records of loans, damages, and servicing, and advise staff and students on resource use.
• Programme Support
  Assist in lessons and practical tests as required, and support school programmes, including hydroponics, gardening, and learning events.
• Safety Management
  Ensure compliance with safety regulations and SOPs, maintain safe environments in assigned rooms, and participate in safety audits.
• Stock Taking
  Conduct twice-yearly stocktakes, maintain inventory records, and identify items for replacement or disposal.
• Other Duties
  Perform any other duties as directed by School Leaders and Heads of Departments.

Requirements:

GCE ‘N’ Levels

Candidate with 2 years of relevant experience will be preferred

COMPANY DESCRIPTION

MINDS has been caring for Persons with Intellectual Disabilities (PWIDs) and their families since 1962.

Grounded in the belief that all PWIDs have innate abilities and talents, MINDS is committed to empowering them and enhancing their quality of life, while advocating for greater inclusivity for PWIDs as a nation.

MINDS is today one of the largest charities in Singapore employing more than 850 staff. With the key focus to expand community-based services, improving the employability of PWIDS, strengthening education, and engendering inclusive community living, MINDS offers a holistic range of services and programmes across the PWIDs' lifespan.

These include schools, employment and training development centres, home-based care services and community-based services to cater to the physical, psychological, environmental and social needs of PWIDs. For more information, please visit www.minds.org.sg.

RESPONSIBILITIES

• Assist in creating clean, safe and conducive learning environment which promotes student learning and development
• Assist teachers in preparing and producing learning materials
• Assist and guide students in carrying out instructions and activities during lessons
• Build a strong relationship with students by exhibiting care, concern and encouragement
• Support teachers in determining individualised goals for each student to enhance their development
• Assist teachers in data collection to understand student profiles and monitor progress
• Implement students behavioural plans and support in managing student behaviours under teacher supervision
• Proactively engage in professional development activities to facilitate ongoing knowledge and skills development

• GCE 'N' Levels or GCE ‘O' Levels 3 credits

• Passionate about each child's personal growth and open to new and innovative methods of teaching
• Able to work with children/youth ranging from 7 - 18 years of age with one or more learning difficulties
• Good communication and interpersonal skills. Able to work in a team with social workers, therapist and other teaching colleagues

The Lee Kong Chian School of Medicine (LKCMedicine), a partnership between Nanyang Technological University, Singapore (NTU Singapore) and Imperial College London, is committed to training doctors who place patients at the centre of exemplary care. Guided by its vision to redefine medicine and transform healthcare, LKCMedicine advances research through impactful discoveries with national and global relevance. The School’s research focuses on five key areas: Neuroscience and Mental Health, Population and Global Health, Respiratory and Infectious Diseases, Nutrition, Metabolism and Health, and Skin Diseases and Wound Repair. These programmes address Singapore’s evolving healthcare needs, including those of a rapidly ageing population, and are supported by cross cutting strengths in Data Science, Developmental Biology and Regenerative Medicine, and Microbiome Medicine.

The JChen Lab, led by Dr. Weiqiang (Javier) Chen, Assistant Professor of Viral Immunopathogenesis, is part of the Respiratory and Infectious Diseases programme and is building a dynamic and interdisciplinary research environment to uncover how viral infections drive inflammation, neurological injury, and musculoskeletal disease. The lab integrates molecular virology, immunology, and advanced disease models to investigate how emerging viral infections reprogram host immune responses and disrupt tissue homeostasis across organ systems, with a central focus on viral immunopathogenesis and host responses.

We are seeking a motivated Research Assistant to support research projects in the JChen Lab focused on viral immunopathogenesis, including mechanisms of neuroinflammation and musculoskeletal disease.

Key Responsibilities:

• Perform laboratory experiments using molecular, cellular, and virology-based techniques under appropriate biosafety conditions

• Assist in the execution of research projects, including experimental setup, data collection, and documentation

• Prepare reagents, maintain cell cultures, and operate laboratory equipment and instrumentation

• Assist with data analysis and organization, including preparation of figures and summaries for reports and presentations

• Support the development and optimization of experimental protocols as directed

• Assist with ordering, inventory management, and procurement of laboratory supplies and reagents

• Support compliance with institutional and regulatory requirements, including biosafety (IBC), animal ethics (IACUC), and human research (IRB) protocols where applicable

• Contribute to general laboratory operations, including maintenance of shared resources and coordination of workflows

• Participate in lab meetings and support coordination of collaborative research activities

Key Competencies and Requirements:

• Bachelor’s degree in Biological Sciences, Biomedical Sciences, Microbiology, Immunology, Molecular Biology, or a related field 

• 0–3 years of relevant laboratory experience

• Experience with molecular or cellular biology techniques (e.g. cell culture, qPCR, Western blot, or related assays)

• Ability to perform experiments, collect and analyze data, and maintain accurate laboratory records

• Strong attention to detail and good organizational skills

• Ability to work independently as well as collaboratively in a team environment

• Good problem solving and critical thinking skills

• Effective written and verbal communication skills

We regret to inform 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-Assistant-%28Computer-Systems%2C-Machine-Learning%29%2C-School-of-Computing/32568-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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, developing novel computational solutions to a wide range of applications, building large-scale experimental systems 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.

The successful candidates will be responsible for working closely with the incoming Assistant Professor Dr Jiang Wenqi, and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Machine Learning Systems
• Computer Systems
• Computer Architecture
• Databases

Only shortlisted candidates will be notified. 

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research
• Solid background in computer systems, machine learning, or related areas

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Expected to work closely with the PI and other team members to carry out research activities, including identifying promising research directions, conducting experiments, documenting research findings, and presenting these findings to the broader community.

• Expected to provide feedback and assistance to other team members and contribute to the overall growth of the team.

• Additional responsibilities include supporting team operations and proactively taking on new tasks when necessary to facilitate the team’s development.

• The candidate may also have opportunities to supervise junior researchers when appropriate.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Lead experimental wet-lab efforts to scale up high-throughput screening of RNA therapeutics.

• Design and conduct chemical synthesis and analysis to generate high-quality datasets for training AI models.

• Mentor junior research lab members in experiments.

• Collaborate with a multidisciplinary team of researchers, including AI scientists and engineers.

• Stay current with advancements in RNA therapeutics innovation, contributing to the evolution of our methodologies.

• Participate in regular meetings and present findings to academic and industry stakeholders.

Job Requirements:

• Bachelor’s degree in Chemistry, Chemical Engineering, Pharmaceutical Sciences, Biochemistry, or a related field.

• Strong background in organic chemistry, medicinal chemistry and hands-on experience with wet-lab techniques (e.g., chemical synthesis and analysis, high-throughput screening) is preferred.

• Demonstrated interest or experience in RNA therapeutics and high-throughput innovation.

• Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Assistant (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Physics%29/32561-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Marc Hon and Prof. Anthony Tung from the NUS School of Computing on an interdisciplinary NUS Physics × Computing project: AI-Driven Discovery of Dark Matter Candidates via Gravitational Microlensing. 

The responsibilities of the position include:

• Designing methods for anomaly detection in irregularly sampled time-series of stellar brightness over time
• Physics-aware generation of time-series data containing transient events
• Coordination with Physics and Computing teams for applications to next-generation astronomical surveys

The role is ideal for someone with a strong computational background combined with an interest in time-domain AI and scientific machine learning. Expertise in astrophysics can be developed during the project.

Qualifications

Bachelor’s Degree in Data Science, Computer Science, Physics, or a similar quantitative field.

Skills:

• Strong analytical and computational skills in data science, statistical analysis, or machine learning.
• Proficiency with PyTorch and data analysis frameworks in Python.
• Familiarity with large, complex datasets and modern computational techniques.
• Good written and oral scientific communication skills.

Experience:

• Demonstrated experience conducting independent research involving the analysis of large datasets.
• Familiarity with modern machine learning methodologies, particularly for time-series data.
• A record of relevant projects involving temporal data and/or time-series analyses is desirable.

Company Overview

Pink Tower Montessori Preschool is a premium early childhood education center in Katong serving an international community of children aged 18 months to 6 years with full Montessori programs supporting holistic development.

Job Summary

Join Pink Tower Montessori Preschool as an Assistant Preschool Teacher (Part-Time/Full-Time) to deliver engaging Montessori education in a supportive environment, fostering young children's growth and learning through a carefully crafted curriculum.

Responsibilities

• Assist the lead teacher in delivering Montessori-based learning activities that promote holistic development for children aged 18 months to 6 years
• Communicate clearly in spoken and written English to engage effectively with children, parents, and colleagues
• Manage classroom activities independently with minimal supervision to maintain a safe and stimulating learning environment
• Collaborate proactively with the teaching team to innovate and enhance educational practices
• Take initiative and stay motivated to achieve positive learning outcomes for children
• Participate actively in training and professional development, including in-house Montessori training if untrained
• Support children’s social and emotional development by fostering a caring and inclusive classroom atmosphere
• Adapt teaching methods to meet the diverse needs of an international student community
• Maintain a positive, dynamic, and mature approach to all teaching responsibilities

Preferred competencies and qualifications

• Experience working with young children to improve classroom engagement and learning effectiveness
• Relevant teaching experience in early childhood education settings
• Passion for teaching and enjoyment in working with young children
• Availability to start work immediately

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-School-of-Computing/32553-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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, developing novel computational solutions to a wide range of applications, building large-scale experimental systems 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 invite applications for a Research Assistant position focused on AI-driven Identity & Access Management (IAM) and Cybersecurity. The successful candidate will work on advanced AI systems for identity security, addressing challenges in anomaly detection, adaptive authentication, and explainable threat intelligence. 

Key Responsibilities:

• Design and develop AI-driven models for identity security and access-control analytics.
• Build generative modeling pipelines (e.g., GANs, diffusion models) to synthesize realistic malicious or anomalous login behaviors for robust model training.
• Implement anomaly detection and adaptive decision systems for real-time IAM defense.
• Engineer edge-native AI modules for adaptive multi-factor authentication and token validation on resource-constrained platforms.
• Develop explainable AI pipelines, including retrieval-augmented generation (RAG)–based systems that justify access decisions.
• Integrate models into end-to-end systems spanning edge devices, containers, and cloud platforms.
• Conduct experimental evaluation, benchmarking, and system-level testing.
• Contribute to research publications, technical reports, and prototype deployments.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Strong programming proficiency in Python and C/C++.
• Solid understanding of machine learning, data analytics, and system security fundamentals.
• Experience or strong interest in cybersecurity, IAM, or authentication systems.
• Experience with generative AI techniques (GANs, diffusion models) for data synthesis.
• Familiarity with edge AI deployment and optimization (e.g., NVIDIA Jetson, ARM platforms).
• Experience with containerized or cloud-native systems (Docker, Kubernetes).
• Knowledge of model optimization and deployment frameworks (TensorRT, ONNX).
• Exposure to cloud platforms such as Google Cloud Platform (Vertex AI, BigQuery).
• Interest in explainable AI, security analytics, or AI-assisted decision support systems.
• Familiarity with tabular data modeling, anomaly detection, or security-log analysis.
• Experience with Linux environments and version control tools (e.g., Git).
• Strong analytical thinking, problem-solving skills, and research motivation

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Research Assistant to work on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in machine learning, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Self-Motivated and takes initiative

We regret to inform you 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-Assistant-%28Diagnostic-Radiology%29/32548-en_GB/?st=188CD011B6DD33446DD894ED5225F5F61C096B93

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. The Department of Diagnostic Radiology is committed to advancing imaging sciences for precision medicine, with strengths in medical image analysis, neuroimaging, and AI-driven healthcare. Our faculty collaborates widely with engineering and computational sciences, and we host specialized research facilities including PET/CT imaging development and advanced image computing platforms. More information on the department is available at https://medicine.nus.edu.sg/meddnr/about-us-staff.html.

Appointments will be made on a one-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will support projects in medical image analysis and AI-driven healthcare research, working closely with the Principal Investigator and research team. The RA’s role will include assisting with data processing, algorithm development, and research support for ongoing imaging projects. Specifically, the RA will:

1. Support research activities in medical imaging and AI, including data curation, preprocessing, and analysis.
2. Assist in the development, testing, and validation of computational models for imaging applications.
3. Conduct literature reviews and contribute to the preparation of manuscripts, reports, and presentations.

Qualifications

The applicant should:

(a) Hold at least a Bachelor’s degree in a relevant discipline (e.g., computer science, biomedical engineering, electrical engineering, or related fields).

(b) Have research interest or prior experience in areas such as medical imaging, computer vision, artificial intelligence, or machine learning.

(c) Be proficient in programming and data analysis, and familiar with common tools for image processing.

(e) Possess good written and verbal communication skills.

Remuneration will be commensurate with the candidate's qualifications and experience.

Only shortlisted candidates will be notified.