Total 557 Junior Executive level Education / Training job vacancies

Project Administrator

Working Days: Monday - Friday
Working Time: 9am to 6pm
Working Location: Redhill
Salary: $ 2300 - $ 3000

Requirements:

• Proficient in MS Word, MS Excel, Corenet (Optional), AutoCAD (Optional)
• Minimum ITE / Polytechnic or equivalent practical experience
• Training Provided
  

Key Responsibilities:

• To provide administrative support to ongoing projects
• To assist to pick up calls and provide customer service support
• To communicate with authority officer for project status and issues when needed
• Liaise with client on project administrative matters such as authorization forms, application forms, payment of application fees
• Daily download of correspondences from authorities from Corenet (prior knowledge on Corenet is plus point)
• Maintain and update project status for ongoing projects. Send reminders to Team member on authority deadlines
• Provide updates to client on project status, such as approvals, written directions, rejection, etc
  

Interested applicants kindly submit through here or send your resume to (joevy_tan@thesupremehr.com) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

Contact +65 9019 3218 for other roles!

Tan Yu Jing Reg No: R26161199

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Highlights

• Career Growth Advancement and Professional Learning Opportunities
• Annual bonus based on performance.
• Annual Dinner

Job Descriptions:

This job provides in-depth training, amazing job satisfaction, an exciting and meaningful learning journey together with parents who aspire their children to be independent and functional. What sets this apart from other careers? The gift of healing. This is a passion more than a career, a desire more than a job. This is a profession that delivers a hope people have been yearning for, a chance to shape many children’s future.

If you are a passionate person who desire to witness and make a difference in shaping their future – a journey of gaining their independence, and often their dignity in the face of serious impairment or disease, you are the person we are looking for and we warmly welcome you to join our team.

Job Scope:

• Implement individualized therapy treatment plan and cognitive development plan as written and directed by Consultant and Director
• Observe, facilitate and assess behavioral changes in the child's progress
• Document behaviors objectively in student's therapy file and organize learning materials
• Establish and maintain care, respect and confidentiality of clients
• Liaise and communicate with parents, other teachers, and administrators, in addition to the children under their supervision.

Job Requirements:

• Permanent position requires to work for at least minimum 3 years contract
• Candidates with prior experience of managing babies or toddlers would be an added advantage
• A good verbal and written English and Mandarin Language (to liaise with Mandarin speaking) ability with good phonematic awareness would be an added advantage
• Passionate and love working with toddlers and children (special kids)
• Have previous experience working with pre-school or primary children would be awesome
• Have the drive and commitment in shaping the kids to have better future

Job Details and Benefits:

• Job Type: Full-time
• 6 working days (Week Ends full day is compulsory)
• Salary ranges from $3,000 (depending on relevant experience and qualification)
• Working hours as set by Company (Weekdays 10am to 7pm and may extend by 1 hour occasionally, Weekends 10am to 6pm)
• Candidates are required to have a Master in Educational Psychology.
• Those fresh from University are welcome. Does not require to have any working experience but those desire to work in a passionate environment will be considered.
• Training and guidance will be provided
• Medical claim
• Annual increment (based on performance)
• Professional learning opportunities
• Work location: 1 Yishun Close, Yishun Symphony Suites or Woodlands Square (Subject to change)

Job Qualifications:

• Masters Degree in Educational Psychology
• Only relevant qualification will be considered. Those who do not fulfil this requirement, please DO NOT apply.

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

We’re Hiring: School Bus Driver (with Teacher Assistant Duties)

Job DescriptionWe are looking for a responsible and caring School Bus Driver to join our preschool near Potong Pasir MRT. This role combines safe transport duties with supporting our teachers in the classroom.Daily Responsibilities:

Driving Duties (Approx. 2 hours/day):Safely operate a 14-seater minibus on pre-planned school routes.
Send and fetch preschoolers between home and school.
Ensure punctual pickup and drop-off of children.
Always ensure the safety and well-being of children on board.
Adhere strictly to all traffic laws and safety guidelines.

Teacher Assistant Duties (When not driving):Assist teachers with classroom routines and activities.
Support in supervising children during playtime or transitions.
Help with simple school errands or logistics as needed.

Vehicle Maintenance & Reporting:Conduct daily basic vehicle checks (fuel, brakes, tires, lights, etc.).
Keep the bus clean and well-maintained.
Report any issues or damages promptly to management.

Job Requirements:

Location: Near Potong Pasir MRT

Employment Type: Full-time or Part-time (5 days per week)

License: Valid Class 3 Driving License with BDVL

Clean driving record (no major violations in the past 2 years)
Physically fit, alert, and enjoys working with children
Responsible, punctual, and a team player

If you’re someone who loves working around children and takes pride in driving safely — we’d love to hear from you!

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

• Well Established Security Inspection Solutions Company

• Salary: $2500 - $2800 (Basic) + $300 Transport Allowance

• Working Hour: Monday - Friday (8.30am – 5.30pm)

• Company Location: Jurong East (Based on Project Site)

• Variable bonus + Excellent Wellfare

• Training Provided

Job Scope:

• Assist Engineers in the maintenance, repair, and installation of equipment. Diagnose errors and technical issues and determine appropriate solutions.
• Support Engineers in project management, including planning, execution, and monitoring.
• Assist with the installation of new equipment and systems.
• Conduct routine troubleshooting of mechanical and electrical equipment to ensure smooth operations.
• Produce timely and detailed reports regarding maintenance activities, project status, and any issues or delays.
• Follow all company field processes and protocols to ensure safety and efficiency.
• Perform basic housekeeping duties to ensure a clean and safe work environment.
• Perform any other engineering-related tasks as assigned by senior engineers or management.

Requirement:

• NITEC / Diploma in Electrical / Mechanical Engineering or equivalent
• 0 - 2 years of relevant working experience in similar position

Candidates are encouraged to apply 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.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

Well Established Company
Salary: $2000
Working location: East Area
Working hours: Monday - Friday, 9am - 6.30pm
No Experience Required

Job Responsibilities:

• Assist with delivery of goods and materials

• Handle goods safely and ensure proper loading/unloading

• Ensure timely and accurate order fulfillment

• Support the logistics team with day-to-day operations
  
  
  

Requirements:

• Physically Fit

• Open to fresh graduates with no prior experience

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

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-in-Quantum-Algorithms-and-Machine-Learning/32457-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 https://www.cqt.sg/

Job Description

We are seeking a promising Research Assistant to join an advanced research project at the intersection of quantum computing and machine learning, focused on developing scalable and coherent training methods for quantum models.

This project tackles one of the central challenges in quantum machine learning: how to train quantum systems efficiently and reliably on scaling quantum hardware. The research will develop novel optimization frameworks based on quantum dynamics and apply them to advanced learning architectures.

The successful candidate will contribute to both theoretical advances and experimental implementations, with opportunities to co-author publications and engage with leading researchers in the field.

Main Responsibilities:

• Develop and implement quantum learning models
• Design and evaluate novel quantum optimization and training algorithms
• Perform large-scale simulations using frameworks such as Qiskit and PennyLane
• Potentially execute experiments on state-of-the-art quantum hardware
• Benchmark quantum models against classical and hybrid baselines
• Contribute to research publications at leading venues
• Develop reusable, high-quality research code and contribute to open-source tools

Qualifications

• Master’s or PhD in Computer Science, Physics, Mathematics, or a closely related field
• Mathematical foundation, particularly in linear algebra, probability, and optimization
• Background or strong interest in quantum computing, quantum information, or quantum algorithms
• Knowledge of machine learning (e.g., deep learning, optimization, or learning theory)
• Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy, PyTorch)
• Experience with numerical simulations, algorithm design, or high-performance computing is advantageous
• Familiarity with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) is preferred
• Experience with research or advanced technical projects
• Analytical thinking, problem-solving skills, and intellectual curiosity
• Ability to work both independently and collaboratively in a research environment
• Strong scientific writing and communication skills

More Information

Interested applicants should submit the following documents to the NUS Career Portal:

• Curriculum Vitae (CV)
• Academic transcripts
• Cover letter (1-2 pages) outlining research interests and relevant experience
• Sample of technical work (e.g., paper, report, or code repository)
• Contact information for 2 referees (Letters may be requested at a later stage)

For more information, please reach out to lpira@nus.edu.sg

We encourage applications from candidates with diverse backgrounds. Applicants who do not meet all the listed criteria but are interested in the role are encouraged to apply.

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.

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-AssistantAssociate-Policy-Analyst-Retirement-Adequacy/32451-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant/Associate Policy Analyst – Retirement Adequacy

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. Rapid population ageing in Singapore raises important questions about financial resilience and retirement adequacy. This project aims to examine how life-course transitions in employment, health, caregiving, and housing shape income, expenditure, and financial vulnerability in later life. The study will draw on longitudinal datasets, including the Retirement and Health Study and will involve quantitative analysis and policy-relevant modelling to inform retirement and ageing-related policies in Singapore. This is a full-time position based in Singapore.

Duties may include, but are not limited to: (1) providing programming support for research projects; (2) conducting statistical and econometric analyses using longitudinal data; (3) managing large and complex datasets; (4) constructing indicators of retirement adequacy and financial vulnerability; (5) supporting policy modelling; (6) conducting literature reviews; and (7) contributing to scientific manuscripts, reports, and dissemination of findings.

The appointed candidate should: (1) hold at least a bachelor’s degree; (2) be proficient in Stata or R; and (3) have training in statistics, mathematics, economics, computer science, quantitative social science, public health, epidemiology, or a related field. Experience with longitudinal data analysis or microsimulation modelling is preferred. Familiarity with C++ is advantageous but not required.

The ideal candidate should demonstrate the ability to work with large datasets and have strong knowledge of quantitative methods. Strong analytical thinking and work ethics, attention to detail, and problem-solving skills are essential. Excellent written and spoken English is required, as the candidate will engage with stakeholders and contribute to reports and publications.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following by email to the NUS Career Portal:

1) Cover note introducing themselves (no more than 500 words);
2) A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3) A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.

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/

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-Science%29/32470-en_GB/?st=268F709592288E636706A7A9A3F4FD9E1228D918

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 Principal Investigator and lab members on one or more research projects. 

Only shortlisted candidates will be notified.

Job Requirements

•  Bachelor’s or Master's degree in Computer Science
•  Experience in Research
•  Demonstrated ability to carry out independent research or project work.
•  Excellent communication, documentation, and teamwork skills.

The School of Social Sciences (SSS) at Nanyang Technological University, Singapore (NTU) invites suitable applications for the position of Research Assistant (Psychology/Education) on a 24-month contract basis, renewable subject to performance and project needs.

Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS)

Project Introduction: The PATHS study is a Ministry of Education (MOE)-funded longitudinal investigation tracking 500–600 Primary 1 students enrolled in the Learning Support Programme (LSP) and/or Learning Support for Mathematics (LSM) across 20+ Singapore primary schools. Using person-centred analytic models, the study identifies heterogeneous learner subgroups across cognitive, literacy, mathematical, and socio-emotional domains, and examines how these profiles evolve and predict academic outcomes. Findings will inform more targeted, evidence-based support for low-progress learners.

The Research Assistant will support the day-to-day implementation of this large-scale study under the supervision of the Principal Investigator.

Key Responsibilities:

• Liaise with participating primary schools and coordinate day-to-day research operations

• Administer psychoeducational assessments and experimental tasks one-to-one with students

• Distribute, collect, and track parent and teacher questionnaires

• Maintain research records; support data entry, cleaning, and quality checking

• Assist with ethics documentation, literature searches, research reports, and stakeholder materials

• Train and coordinate part-time student research assistants during data collection

• Perform administrative and procurement tasks as required by the Principal Investigator

Job Requirements:

Essential:

• Bachelor's degree in Psychology, Education, Child Development, Sociology, or a related field

• Strong interpersonal and communication skills; good command of spoken and written English - essential for data analysis and communication with stakeholders

• Well-organised, self-motivated, and able to meet deadlines; willing to travel to school sites

• Proficient in Microsoft Office (particularly Excel and Word)

Preferred:

• Prior experience administering psychometric or psychoeducational assessments to children

• Experience conducting school-based research or working with young children (Primary 1–3 level)

• Familiarity with statistical software (e.g., SPSS/jamovi/JASP, R) and data management

We regret that only shortlisted candidates will be notified.

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-AssistantAssociate-Policy-Analyst-Economic-Evaluation/32452-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant/Associate Policy Analyst – Economic Evaluation

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. Rapid population ageing in Singapore underscores the need for effective interventions to support healthy and active ageing. This project aims to evaluate the impact of interventions (e.g. Age Well SG and related community-based programmes) on health outcomes, functional status, healthcare utilisation, and wellbeing among older adults. The study will draw on longitudinal and administrative datasets and will involve quantitative analysis and policy-relevant modelling to inform ageing and healthcare policies in Singapore. This is a full-time position based in Singapore.

Duties may include, but are not limited to: (1) providing programming support for research projects; (2) conducting statistical and econometric analyses using longitudinal and administrative data; (3) managing large and complex datasets; (4) evaluating programme impacts on health, frailty, and healthcare utilisation; (5) supporting cost and policy modelling; (6) conducting literature reviews; and (7) contributing to scientific manuscripts, reports, and dissemination of findings.

The appointed candidate should: (1) hold at least a bachelor’s degree; (2) be proficient in Stata or R; and (3) have training in statistics, mathematics, economics, computer science, quantitative social science, public health, epidemiology, or a related field. Experience with programme evaluation, longitudinal data analysis, or microsimulation modelling is preferred. Familiarity with C++ is advantageous but not required.

The ideal candidate should demonstrate the ability to work with large datasets and have strong knowledge of quantitative methods. Strong analytical thinking and work ethic, attention to detail, and problem-solving skills are essential. Excellent written and spoken English is required, as the candidate will engage with stakeholders and contribute to reports and publications.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on the candidate’s academic qualifications and years of relevant experience.

Applicants should send the following to the NUS Career Portal:
1) Cover note introducing themselves (no more than 500 words);
2) A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3) A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.