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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Office for Research.

Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1B

Project Introduction: This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments. 

Requirements:

• Bachelor’s degree in the relevant fields (Social science/Psychology/Education) 

• Proficient knowledge in qualitative analysis 

• Relevant skills in academic research (e.g., conducting literature review, interviews) 

• Experience conducting focus group discussions is advantageous

• Prior experience in research either at the undergraduate or postgraduate levels 

• Technologically competent: able to exploit hardware and software for qualitative data analysis 

• Good communication and interpersonal skills 

• Ability to relate to teenagers 

• Ability to work independently

Responsibilities:

• Conduct literature review in the relevant fields 

• Obtain consent from research participants 

• Manage logistics, data, and systems associated with data collection

• Conduct field work at MOE sites 

• Administer student/teacher/parent survey forms 

• Conduct interviews with selected research participants 

• Analyse all qualitative data 

• Code, organise, analyse, and present the respective data 

• Assist with reports on the study findings 

• Other duties as assigned by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00024133 & R00024134
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-for-Research---NIE-_R00024133)
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-for-Research---NIE-_R00024134)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

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-%28ROBUST-SPLATTING%29/32473-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).  The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects.  The candidate will join the research team in the areas of Efficient and Robust Splatting.

The successful candidate is required to:

•    Contribute to 3Dreconstruction, Generation and Beyond.
•    Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
•    Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
•    To advance the knowledge, to publish in leading journals and conferences.
•    To prepare and meet the project deliveries and milestones.  

Qualifications

•    A recognized Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, Data Science, Artificial Intelligence, or a related quantitative field
•    Strong programming skills in one of the programming languages: C / C++, Matlab, Python
•    Have prior project related experience
•    Good team player and be able to work independently. 
•    Strong organizational, writing and interpersonal communications. 
•    Meticulous, able to work well under pressure and commitment to meet tight deadlines
•    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-Assistant-%28Biological-Sciences%29/32478-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an enthusiastic and meticulous individual to support CNCS in continuing education and research administration.

Responsibilities

Research Administration Support

• Track and report budgets, commitments, expenditures and payments accurately
• Assist in submitting project claims and progress reports to grantor
• Support procurement activities by sourcing, purchasing and payments, in compliance with university policies and procedures
• Checking of Concur claims to ensure they are fundable items 
• Perform other duties as assigned

Executive Education

• Prepare the paperwork for Contract for Services, Other Paid Work in NUS (OPWN), NUS Student Work Scheme
• Track registration on NUS Lifelong Learning Application Portal (L3AP) and send reminders to participants to complete their registration
• Vendor record creation, withholding tax processing for overseas speakers
• Source for quotations on airfares and hotel rates for course budget preparation
• Booking of air tickets and hotel accommodation for overseas speakers
• Submit Request for Payment forms and OPWN payment forms for speakers
• Create Purchase Orders for catering, hotel booking and purchases 
• Submit Invoice Request forms to seek payment
• Submit non-Purchase Order invoices for payment processing
• Track expenditure and payments for all courses, prepare profit and loss report
• Transfer payments to course collaborators
• Oversee the classroom and catering logistics during courses, liaise with caterers on set up, booking of course venue and payments for venues
• Liaise with Office of Legal Affairs (OLA) on contracts

Qualifications

Bachelor’s degree in any discipline

Experience

• Familiarity with the NUS Concur, Ariba Smartbuy, ASK and L3AP system is a plus

Skills

• Proficient in Microsoft Office applications. 
• Strong organization and time management skills, with the ability to work within tight deadlines
• Meticulous with an excellent attention to detail
• Resourceful in getting things done and with a willingness to learn
• Service-oriented, work well with others 
• Possesses a pleasant and outgoing disposition with good written and verbal communication skills to engage with internal

Application Procedure
Please also state when you expect to be able to begin work, if this position is offered to you.

Questions about the position may be directed to yunping@nus.edu.sg
Only shortlisted candidates will be contacted for an interview.
Deadline to submit applications by Friday, 8 May 2026, given the urgency of hiring needs.

Our client is a local leading education provider. They are looking for a Student Care Teacher / Assistant for the next phase of their business. They are located at East – Easily Accessible.

Student Care Teacher : Up to $3.5k

Assistant Teacher : Up to $2.5k

Responsibilities:

• Guide Primary 1–6 students with homework and academic support

• Deliver centre programmes and enrichment activities

• Monitor students’ progress and maintain communication with parents

• Prepare teaching materials and maintain a conducive classroom environment

• Ensure students’ safety, including school pick-up arrangements

• Support other duties assigned by the Centre Director

Requirements:

• Diploma or higher qualification in Mathematics, Science, or a related discipline

• At least 2 years of teaching or tutoring experience with primary school students

• Ability to teach primary-level subjects confidently

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

About Gain City

At Gain City, we deliver expertise and quality solutions in air-conditioning, home appliances and consumer electronics. Established in 1981, Gain City is a trusted household name in Singapore. We take pride in our strong customer focus, innovative spirit, and commitment to service excellence. With a dynamic workforce and a network of stores and service centres island wide, we offer a vibrant and growth-oriented environment where employees are empowered to thrive, take ownership and make a real impact.

About the Role

We are seeking an experienced and strategic Director / Assistant Director / Senior Manager, Learning Academy to develop and lead the learning academy within the Gain City group of companies.

In this role, you will be responsible for establishing and overseeing the end-to-end operations for a scalable learning academy aligned with Singapore’s vision. You will lead the design and execution of training programmes, ensure full compliance with regulations and build a high-performing team to plan and deliver impactful lessons. A key part of the role is to drive continuous improvement in educational outcomes and operational excellence.

Key Responsibilities

• Ensure full compliance with all relevant regulations, statutory requirements and internal SOPs
• Maintain up-to-date knowledge of government regulations, national schemes and masterplans related to training providers and lifelong learning
• Design, implement and manage a scalable and sustainable business model for the learning academy
• Develop and maintain strong partnerships with key stakeholders, including leading contract negotiations where necessary
• Lead, coach and develop a high-performing team of planners and trainers to ensure effective programme design, delivery and operational excellence
• Oversee the development of course offerings aligned with market and organisational demands
• Explore and evaluate opportunities to diversify the academy’s offerings beyond the initial scope of courses
• Review and optimise existing processes and organisational structures to improve efficiency and enable automation

Qualifications and Requirements

• Bachelor’s degree in business administration, learning and development or a related field
• Minimum of 10 years of progressive experience in learning and development or workforce training
• DCCLP (Diploma in Career Conversion for Learning and Performance) is preferred
• Proven leadership capabilities, with a strong track record of building and developing high-performing teams
• In-depth knowledge of regulations and statutory compliance
• Demonstrated success in driving process improvements and operational excellence
• Strong experience in cost management, budgeting and leading efficiency initiatives

What We Offer

At Gain City, we are committed to the growth and development of our employees. You will be offered various learning and development opportunities and a collaborative, forward-thinking and growth-focused work environment to thrive in your career. You will also receive a comprehensive benefits package.

Join Our Team

If you have a strong background in learning and development and are looking for a role where you make an impact, apply now to be a part of our growing team!

Note

• Only shortlisted candidates will be notified

The project is to be carried out in collaboration with Schaeffler to study “collision monitoring and control system of cobot based on fiber optic sensing and deep learning”. Research Assistant/ Project Officer will be supporting the Project Lead to deliver the project, ensuring that the overall project output meets the requirements.

Research Assistant/Project Officer’s responsibilities; whilst not exhaustive will include:

• Work with internal team members, interfacing teams, partners and suppliers to ensure technical requirements are understood as required

• Plan and execute experiments

• Capture and analyse data

• Resolve technical problems

• Perform technical research and technical report writing

Requirements:

• Bachelor’s degree in Mechanical, Electrical and Electronic, Optical Engineering or related field from a reputable University

• Experience in sensing, condition monitoring or structural health monitoring

• Proficiency in basics of programming languages such as C, C++ and Python

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%2C-Computer-Science-%28School-of-Computing%29/32467-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 candidate will be responsible for working closely with the Principal Investigator 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:

• Cybersecurity Attacks & Defences
• Programming Languages & Software Engineering
• CS Education Pedagogy

Only shortlisted candidates will be notified.

Qualifications

• Bachelor’s degree (or a fresh Master’s degree) in a relevant field
• Research experience in the relevant area(s)

Roles & Responsibilities

• Transcribe audio-recorded interviews and/or classroom interactions
• Assist with qualitative data organisation and management
• Support thematic analysis (e.g., coding, categorising, identifying patterns)

Requirements

Essential:

• Bachelor’s degree (or current undergraduate/postgraduate student) in Education, Applied Linguistics, Social Sciences, or related fields
• Prior experience in transcription and qualitative research (thematic analysis)
• Ability to work independently and meet deadlines
• Good organisational skills and attention to detail
• Commitment to the responsible and ethical handling of confidential research data

Working Arrangements

• Duration: 5 months (part-time)
• Flexible working hours
• Remote work arrangement (with occasional meetings if required)

Salary: $15 per hour

EA License No.: 96C4864 (Shanice Lim Xin Ni)

Reg. No.: R22110485

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%28Landscape-Studies-Urban-SociologyEnvironmental-Psychology-Human-Geography%29/32481-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Cities at the College of Design and Engineering is recruiting a full-time Research Assistant to join a research project to investigate the relationship between natural environment, perceptions and affordances, and motivations to use for health promotion purposes. The contract will be for 18 months with possible extension subject to funding availability.

Job scope:
1.    To undertake high-quality research in human and nature relationship for health promotion.
2.    To conduct systematic reviews relevant to human and nature relationship for health promotion.
3.    To conduct spatial study (field, desktop) and social studies (e.g., surveys, photo elicitation, focus groups).
4.    To manage and analyse qualitative and quantitative data.
5.    To contribute to the preparation of scientific manuscripts for peer-reviewed publication.
6.    To support the overall coordination of the research project. 

Qualifications

1.    Bachelor's with honours or master's degree in landscape studies, urban studies, environmental psychology, or other relevant disciplines.
2.    Ability to write and communicate in English as the candidate will need to publish papers in English journal.
3.    Have some experience conducting quantitative research (e.g., survey data collection, spatial analysis particularly in relation to urban spaces) and qualitative research (e.g., photo elicitation, focus groups).
4.    Experience in data management and analysis using geospatial software (e.g., QGIS) and statistical software (e.g., SPSS, R, or Phyton).
5.    Ability to work independently, demonstrate a good organisational skill.

Applicants should send the following documents during application:
•    Cover letter highlighting career goals and relevant experience
•    Curriculum Vitae, containing details of three named referees

Please note that only shortlisted candidates will be contacted.  

The anticipated start date for the position is 1 June 2026. We will begin evaluating candidates immediately, but the position will remain open until a suitable candidate is found.

Job Description

This project aims to study ciliopathies such as Primary Ciliary Dyskinesia (PCD) and Polycystic Kidney Disease (PKD). By utilising human stem cell-derived models, the research seeks to further characterise these genetic disorders and evaluate potential treatments via gene therapy approaches.

• Maintenance of human pluripotent stem cell lines and multi-step directed differentiation to generate lung and kidney tissues, including the use of 3D organoids, air-liquid interface (ALI) cultures, and Flow Cytometry (FACS) for the characterisation and isolation of specific cell populations.
• Proficiency in core molecular biology techniques including cloning and PCR-based analysis for genetic characterisation.
• Production, titration, and application of viral vectors for gene editing and stable expression within differentiated cell models.
• Characterisation of ciliary morphology and protein localisation using multi-channel immunofluorescence and high-resolution confocal microscopy.

Job Requirement

• Academic Background: PhD or Master’s degree in Biomedical Sciences, Molecular Biology, Bioengineering, or a related life sciences discipline.
• Research Focus: Proven track record in stem cell biology or regenerative medicine is highly preferred.
• Professional Experience:For PhD holders: 0–3 years of postdoctoral experience

Technical Competencies

• Cell Culture Mastery: Extensive experience in maintaining human pluripotent stem cells (hPSCs) and performing directed differentiation.
• Tissue Engineering: Proficiency in 3D organoid culture and/or Air-Liquid Interface (ALI) models.
• Gene Editing & Virology: Hands-on experience with viral vector production (Lentivirus/AAV) and molecular cloning techniques.
• Analytical Techniques: Skilled in Flow Cytometry (FACS) for cell sorting and analysis.

Job Responsibilities:

1. Training Delivery, Facilitation & Program Ownership

• Operational & Systems Oversight: Oversee the complete operational lifecycle of training programs by coordinating end-to-end logistics—including venue management, materials preparation, and scheduling—to ensure seamless execution with minimal business disruption. This includes managing the Learning Management System (LMS) and enrolment data to provide audit-ready reporting.

• Facilitation: Facilitate and deliver engaging, interactive trainingsessions, both in-person and virtually, to staff and managers at all levels. Act as the lead trainer and subject matter expert for the following core programs:

o   Performance Management:Coaching on goal setting, effective feedback, development planning, and conducting formal reviews.

o   Mindset & Culture:Delivering foundational programs on the Outward Mindset and reinforcing organizational values.

o   Service Excellence:Designing and delivering programs to enhance customer service skills, manage difficult interactions, and promote a customer-centric culture.

o   HR & Compliance:Facilitating awareness sessions on company policies, professionalism, and organizational compliance procedures.

• Program Assessment and Improvement: Collecting and analysing post-training feedback to measure the effective transfer of knowledge and skills. Conduct regular audits and curriculum refreshes to ensure all training materials remain accurate, relevant, and aligned with evolving business objectives and industry best practices.

2. Talent Management

• Talent Review Cycle:
  Oversee the end-to-end Talent Management process, including the identification, utilizing the 9-box grid and assessment of high-potential employees

• Succession Support:Support the Talent Review cycle to ensure a pipeline for future leadership needs

3. Employee Engagement 

• Data Interpretation:
  Work with the HR team to analyse results from the Employee Engagement Survey.

• Consulting & Action Planning:
  Meet with departmental managers and leaders to review their specific engagement data, help them diagnose root causes of low engagement, and co-create tailored departmental action plans.

• Employee Engagement events: Planning and execution of internal developmental engagement events.

Job Specifications:

• Bachelor’s degree in Human Resources, Education, or a related field.
• Minimum of 2 to 4 years of dedicated experience as a Corporate Trainer or Learning & Development Facilitator.
• Proven ability to design and deliver engaging training on Service Excellence, Performance Management, and core HR-related topics.
• Exceptional classroom presence, presentation and communication skills.
• Professional certifications in training/assessment (e.g., ACTA, ACLP, or equivalent).
• Certification in or prior experience facilitating a specific behavioural framework like the Outward Mindset (e.g., Arbinger Institute).
• Strong understanding of adult learning principles and instructional design models.
• Candidates with stronger qualifications and relevant experience may be considered for appointment at a more senior level.

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-%28Biological-Sciences%29/32448-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof. Ryan Chisholm under the project “Advancing population viability analysis for an increasingly variable world”. The candidate’s role in the project will involve estimating the population size of pangolins in Singapore and modelling the population’s future trajectory. The ideal candidate will have experience programming in R and will be passionate about mammal conservation in Singapore. The position will be for one year.

Qualifications

Degree in Life Sciences or related field.

Skills:
Literature review, data analysis, programming in R.

Experience:
Previous experience with modelling wildlife population is desirable but not essential

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-%28Quantitative%29/32455-en_GB/?st=62AB6BB745B72DCB57CD58FD3DC1A95BEA2FBF0E

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.

The successful candidate will be working within the team under the Principal Investigator Assistant Professor Akira Endo, collaborating closely with multiple experts.

Methods include renewal process, network transmission modelling, machine learning and Bayesian inference, particularly in the context of epidemiology and dynamics of respiratory, sexually transmitted, and tick-borne infections.

Candidates should have a solid understanding of infectious disease dynamic modelling and statistical modelling, with a sufficient background in public health, mathematics, and data science. Proficiency in R programming is essential, and we will also appreciate candidates with extensive coding knowledge of C++, Python, or Julia.

The candidate will be working with the Principal Investigator(s) on the analysis of predicting future trajectories of epidemics and assessing the potential impacts of response strategies using a range of modelling frameworks, including mathematical, statistical, and machine-learning approaches.

The Principal Investigator(s) is seeking an independent worker who is well-organised, analytical and codes competently. They will, however, be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:

• Infectious disease modelling
• Statistical analyses
• Stochastic processes
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders

Requirements:

• Completed an MSc in a quantitative discipline (statistics, mathematics, computational biology, data science)
• Extensive experience in data science research and experience in leading at least one quantitative health-related research project
• Strong programming skills (at least one of R/Python/Julia)
• Statistical competence (understands and can perform likelihood-based inference, ideally including Bayesian)

Please email the PI at aendo@nus.edu.sg for further details.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. We are looking for a Project Officer to develop intelligent detection and picking methods of extracting weak yet coherent signals from 2D acoustic or seismic recordings.

Key Responsibilities:

• Develop and apply innovative 2D seismic phase picking methods

• Extract seismic phases for enhancing practical findings

• Publish high-impact research articles in leading international journals

• Assist in the preparation and development of competitive research proposals

• Support the supervision and mentoring of undergraduate students

Job Requirements

• Bachelor’s degree in exploration seismology, applied geophysics, or related field

• At least 2 years of relevant experience in geophysical signal processing

• Familiarity with related literature and software

• Good written and oral communication skills

• Entry level candidates 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 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-%28Quantitative%29/24918-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.

They will be working within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts.

Methods include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of interventions.

Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:

• Disease modelling
• Statistical analyses
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders

Requirements:

• Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
• Strong programming skills (R preferred)
• Statistical competence (Bayesian is advantageous)

Please email the PI at ephdbsl@nus.edu.sg for further details/