Total 293 Education / Training job vacancies

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a newly established interdisciplinary joint school under College of Engineering and College of Science at NTU Singapore. The Zhong group works at the interface of organometallic and organic chemistry to develop new generations of transition metal catalysts and reagents for novel organic transformations.

The Zhong group is pursuing development of new generations of transition metal catalysts for asymmetric catalysis and C-H functionalization. The candidate should have a BS/MS degree in chemistry with prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions. The candidate should possess analytical skills including NMR, GC/HPLC, mass spec, etc, as well as experience in handling air-sensitive compounds with Schlenk techniques or glovebox.
 

Key Responsibilities: 

• Assist in routine lab research and data analysis in organic chemistry and organometallic chemistry.

• Assist in instrument maintenance, and acquisition of chemicals, lab supplies and consumables.

• Present research progress in group meetings and private meetings.

Job Requirements: 

• BS in chemistry

• Prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions.

• Analytical skills including NMR, GC/HPLC, mass spec, etc.

• Experience in handling air-sensitive compounds with Schlenk techniques or glovebox.

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Position Overview:

We are seeking an experienced Trainer (Retail & Development) to join our team. In this full-time position, you will be responsible for designing and delivering comprehensive training programs to upskill our retail staff, ensuring they are equipped with the knowledge and skills to provide exceptional customer service and drive sales.

What you'll be doing

• Developing and facilitating engaging training sessions on product knowledge, sales techniques, customer service, and other relevant retail topics
• Identifying training needs and designing customized programs to address skill gaps
• Facilitate in-store training sessions on weekdays during retail hours
• Monitoring and evaluating the effectiveness of training initiatives, making adjustments as necessary
• Providing one-on-one coaching and mentoring to support the professional development of retail staff
• Collaborate with the HR and Operations teams to identify training needs and design customized modules.
• Collaborating with the management team to align training with the company's strategic objectives
• Monitor training effectiveness through feedback and KPIs to refine future programs.
• Maintaining training records and providing progress reports

What we're looking for:

• Relevant qualification in a field such as Education, Human Resources, or Business
• Minimum 3 years of experience as a Trainer or L&D professional, preferably in the retail industry
• Excellent facilitation and presentation skills, with the ability to engage and motivate adult learners
• Strong understanding of adult learning principles and the ability to design effective training programs
• Proficient in data analysis and using metrics to measure training impact
• Excellent communication and interpersonal skills, with the ability to build rapport with employees at all levels
• Passion for learning and development, with a commitment to continuous improvement

We are looking for motivated and affable individuals who can work in a challenging and fast paced environment.

o Attend to walk-in customers and incoming phone enquiries

o Provide course consultation and ensure proper follow-up

o Handle and resolve general feedback and complaints

o Perform general administrative duties, such as data entry and filing

o Processing of new student registration and payment

o Provide administrative support to teachers, such as preparation of materials for classes

o Assist in ad-hoc matters when necessary

Requirements:

o Candidate must possess at least O Level / Diploma holders

o Able to work independently

o Able to work on rotating shifts including weekends

o Bilingual in English & Mandarin (in order to liaise with Mandarin speaking associates)

o Proficient in MS Word and Excel

o Passionate in customer service

o Meticulous and systematic with administrative procedures

o Work location : Jurong, Chua Chu Kang, Bukit Panjang, Sengkang, Punggol, Yishun, Pasir Ris, Simei

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-AssociateAssistant-%28Infectious-Disease-Modelling-&-AI-for-Public-Health%29/32509-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health is recruiting two Research Associates/Assistants to support a diverse portfolio of research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven epidemic forecasting, transmission modelling in the ASEAN region, social network dynamics and use for large language models for public good. Successful candidates will be embedded in a multidisciplinary team working with epidemiologists, clinicians, biostatisticians, data scientists, and public health agencies.

We welcome candidates with complementary skill profiles. One position is oriented towards computational/statistical modelling; the other towards data engineering, visualisation, and software development. Both positions involve hands-on research work and will suit candidates looking to build a strong research track record before or alongside a PhD. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners.

Key Responsibilities
• Implement and test statistical and computational models for infectious disease dynamics (compartmental models, Bayesian inference, phylogenetic analysis, or machine learning pipelines depending on profile).
• Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets.
• Develop data visualisation tools and contribute to interactive surveillance dashboards.
• Support the preparation of manuscripts, reports, conference presentations, and workshops.
• Collaborate with internal team members and external partners across institutions and countries.
• Contribute to code documentation and reproducible research workflows.

Additional Opportunities
Exceptional candidates may have the opportunity to pursue a PhD at NUS. The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

Research Associate (higher band): Master's degree in a relevant discipline (statistics, epidemiology, computer science, bioinformatics, computational biology, biostatistics, or related) with two years of relevant work experience.

Research Assistant (entry band): Bachelor's degree with strong analytical training; candidates with no experience are welcome to apply.

• Solid quantitative background; familiarity with Bayesian inference or machine learning is an advantage.
• Proficiency in Python and/or R; experience with probabilistic programming (Stan, PyMC, NumPyro) or deep learning frameworks (PyTorch, JAX) is desirable but not required.
• Ability to work with real-world datasets and to communicate findings clearly in writing and presentations.
• Demonstrated ability to work both independently and as part of a team.
• A publication or pre-print record (for Research Associate level) is an advantage but not essential.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, and relevant experience,
• A comprehensive curriculum vitae.
• Contact information for two professional references (letters may be requested).

• Manage fund receipts from MOH and disbursement of funds to institutions;

• Prepare and submit funding KPI reports to management and MOH;
• Assist in the preparation and monitoring of budget submissions and fund utilization;
• Assist in audit preparation and coordination and support financial year-end closing activities.
• Assisting in any other ad hoc duties relating to this department

JOB REQUIREMENTS

• Min Bachelor’s degree preferably with at least 2 years of work experience
• Excellent communication skills
• Proficiency in Microsoft Office applications is essential
• Experience in healthcare, finance or education background would be an advantage

• Possess strong interpersonal skills in working with different groups of stakeholders
• Good organization, coordination and analytical skills
• Meticulous and able to work independently

Interested candidate, kindly send a copy of your resume to: jessicafong@recruitexpress.com.sg

Jessica Fong Zhi Tong [R1879124]

Email Address: jessicafong@recruitexpress.com.sg

Recruit Express Pte Ltd

EA Licence No: 99C4599

Key Responsibilities:

• Develop and conduct high quality research independently, as a candidate is expected to have relevant experience in one or more of these areas (e.g. mice/rodent handling, optogenetics and behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc).

• Lead, assist or learn in a dynamic range of projects and lab duties, including but not limited to molecular biology and histology procedures, microscopy, rodent behavioural assays, neuroscience optogenetic and chemogenetic techniques, functional recording and calcium imaging, mice surgery, data analysis and presentation, lab maintenance and office, academic and administrative tasks

• Mentor and collaborate with group members and other research teams

• Demonstrate him/herself exceptionally self-motivated, a team player

• Any other responsibilities as advised by the PI based on the evolving needs in the lab

Key Competencies and Educational Requirements:

• Hold a Diploma or Bachelor degree in Biology or relevant disciplines

• Have a keen interest in the lab’s research theme on the microbiome gut brain neuroscience

• Be proficient in relevant techniques described above

• Be highly motivated and conscientious

• Demonstrate her/his competencies and qualifications satisfactorily

• Work independently, and also have the ability to work effectively in a team

• Have good organisational, verbal and interpersonal skills

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/

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.

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)

Pay: Up to $6,000

Location: Queenstown

Work hours: Monday - Friday, office hours

 Job Scope

• Coordinate Medical Officer (MO) onboarding, rotations, and postings with departments

• Administer training, compliance, and required documentation for MOs and serve as main contact for MO-related queries

• Manage appraisals and ranking exercises with faculty and ministry

• Provide operational and administrative support to director and team

• Act as liaison between residents, faculty, and departments for training programmes

• Coordinate communications and admin processes for residency activities

• Manage Programme Letter of Agreement (PLA) documentation and compliance

• Administer faculty appointment letters

• Organize procedural courses, schedules, registrations, and logistics

• Handle departmental admin duties (onsite support, meeting minutes, course coordination)

 Requirements

• Minimum degree in any discipline

• Minimum 3 to 5 years’ work experience in an administrative related role, preferably in an educational/ healthcare institution

If interested, please email me at pharmascience@recruitexpress.com.sg or telegram @alexgohhl

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599).