ABC (Applied Behavior Consultants) Center Singapore is part of the global network of Applied Behavior Consultants, Inc, a USA-based network that has helped thousands of individuals with autism for over 30 years. Our expertise lies in ABA (Applied Behavior Analysis) therapy. ABC Center is the only center in Singapore with Board Certified Behavior Analysts with expertise in the REAL (Recreating Environments to Accelerate Learning) method of ABA.

We are seeking an Assistant Special Education Teacher who will help us in unlocking the potential of children with autism.

The Assistant Special Education Teacher will help create and implement activities for our special needs children, allowing them to have ample ways to practice what they have learned in their therapy sessions in a stress-free and playful manner. The teacher will also help in providing care and attention to the children, to ensure that they are comfortable and happily engaged in our centre. The activities to be designed and implemented involve play and language skills, socialization, as well as ample rest and recreation.

Interested applicants must have a passion for helping individuals with autism and other special needs, able to happily engage with children, and is committed in helping children improve.

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.

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.

Learning Center Monitor / Teaching Assistant

TLS Academy – Singapore

TLS Academy invites responsible and service-oriented individuals to apply for the position of Learning Center Monitor / Teaching Assistant.

This role supports classroom learning and daily academic routines within a structured learning center environment. The position is well suited for individuals who enjoy working with students and who desire to contribute meaningfully within a values-driven educational institution.

TLS Academy provides holistic education grounded in Christian principles, nurturing students toward academic excellence, personal discipline, and character development. The school seeks team members who are willing to support this mission and contribute positively to the learning environment.

Key Responsibilities

• Assist teachers and supervisors in supporting classroom learning activities.

• Provide one-to-one and small-group academic support, particularly in English language and literacy.

• Support students as they work independently through assigned academic materials.

• Help prepare teaching materials and classroom learning resources.

• Supervise and guide students during class sessions and school activities.

• Assist in maintaining an orderly and focused learning center environment.

• Encourage positive study habits and responsible conduct among students.

Requirements

Applicants should demonstrate maturity, responsibility, and a genuine interest in supporting student learning.

• Currently residing in Singapore and legally eligible to work in Singapore.

• Excellent command of spoken and written English.

• Completion of A-Levels, Diploma, or equivalent qualification.

• Strong communication, patience, and teamwork skills.

• A genuine interest in working with children and supporting their learning.

• Willingness to contribute positively within a values-based educational environment.

Previous classroom, tutoring, mentoring, or youth-related experience will be an advantage but is not essential.

About TLS Academy

TLS Academy is committed to nurturing students through holistic education based on Christian principles, developing learners who demonstrate excellence, integrity, resilience, compassion, and humility.

The school emphasizes disciplined learning, personal responsibility, and character development as part of preparing students for life and leadership.

Application

Interested applicants may submit their resume and a short introduction outlining their interest in working within a values-based educational environment.

Applications will be reviewed on a rolling basis.