Total 1,350 job vacancies in Singapore

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on creating and training LLMs for log anomaly detection and interpretation. Successful candidate will be part of an active research team led by Profs Gao Debin, David Lo, and Pang Guansong from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Process and handle publicly available log datasets
• Develop and design approaches for utilizing LLMs for log sequence analysis
• Perform large-scale empirical evaluation on the designed approaches
• Write research reports and papers on the obtained models and results
• Work with other team members hired for the same project
• Other duties as assigned

• Doctoral degree in computer science, information technology, or closely related disciplines from a reputable institution of higher learning, with a focus on machine learning or data science
• Past research experience on adaptation or tuning of large language models preferred
• Demonstrated experience and know-how on machine learning
• Excellent publication track records. Publications at top-tier AI/ML/cybersecurity venues will be advantageous
• Good analytical, technical and problem-solving skills•Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

Job Description

• Lead and contribute to advanced research efforts in 6G wireless communication technologies.
• Develop and refine technical proposals for international standards organizations (e.g., 3GPP).     
• Analyze emerging trends and integrate cutting-edge concepts (e.g., AI, energy efficiency, satellite communications) into research agenda.        
• Collaborate with interdisciplinary teams to evaluate technology feasibility and alignment with global standards.        
• Drive ecosystem engagement by participating in global alliances, industry forums, and standardization committees.        
• Mentor junior engineers in the standardization process and technical writing.

Job Requirements

• MS or PhD in Electrical Engineering, Communication Engineering or related field.        
• Expert knowledge of digital signal processing, wireless communication algorithms, or protocol design.        
• Deep familiarity with mobile communication standards (3G, 4G, 5G and beyond).       
• Strong experience in submitting and defending proposals in international standardization bodies.        
• Programming skills (C/C++, Matlab, Python) are highly desirable.
• Solid industry track record, ideally including patenting or published contributions to wireless standards.
• Preferred expertise in at least one area: AI for communications, satellite systems, or wireless energy engineering.

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/Senior-Research-Fellow-%28Infectious-Disease-Modelling-&-AI-for-Public-Health%29/32500-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 invites applications for a Senior Research Fellow to help lead a vibrant, internationally
connected research programme spanning Bayesian infectious disease modelling, AI-driven
epidemic forecasting, genomic epidemiology, and pandemic preparedness. 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.
This is a senior scientific role with significant autonomy. The successful candidate is expected to
drive independent research streams, provide intellectual leadership across multiple concurrent
grants, and mentor junior researchers. The portfolio spans methodological innovation and applied
public health impact, including real-time surveillance platforms, lineage transmissibility models, AIpowered
decision-support tools, and equitable AI for Public Health in Asian settings.

Key Responsibilities
• Lead and independently execute high-impact research across one or more of the group's
active programmes: Bayesian genomic-epidemiological modelling, AI for epidemic
forecasting, and arbovirus genomic surveillance.
• Design novel statistical and computational methodologies and publish them in leading
journals and present at international conferences.
• Provide scientific leadership and day-to-day mentorship to Research Fellows, Research
Associates, and Research Assistants.
• Take a leading role in grant writing, progress reporting, and engagement with funding
agencies and public health partners.
• Represent the group at national and international conferences; build and sustain
collaborative networks.
• Contribute to curriculum and teaching support for relevant graduate courses at SSHSPH.

Additional Opportunities
The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

• PhD in statistics, biostatistics, computational biology, epidemiology, computer science, or a
closely related discipline.
• Minimum of two years of postdoctoral experience.
• Demonstrable expertise in Bayesian inference and probabilistic modelling; experience with
Stan, PyMC, NumPyro, Turing, or equivalent PPLs.
• Strong track record of publications in peer-reviewed journals commensurate with career stage.
• Proficiency in Python and/or R; familiarity with high-performance and cloud computing environments.
• Experience in at least two of: phylodynamics / genomic epidemiology, deep learning for sequence or tabular data, reinforcement learning, spatial modelling, or real-time nowcasting.
• Demonstrated ability to supervise junior researchers and contribute substantively to grant applications.
• Excellent written and oral communication skills; ability to engage clinical, public health, and policy audiences.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, relevant experience, and research vision.
• A comprehensive curriculum vitae, including a full list of publications.
• A research statement (maximum two pages) outlining past contributions and future directions.
• Contact information for two professional references (letters may be requested).

Review of applications begins immediately and continues until the position is filled. The anticipated start date is flexible by negotiation.

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).

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Head of Science (Primary) to build and subsequently lead a high-quality P3 to P6 Science programme.

This role goes beyond teaching. You will shape the programme structure, strengthen curriculum and delivery, and later on, build teaching capability to ensure consistent student outcomes across centres.

Key Responsibilities

• Oversee and refine the P3–P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4–6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 5–8 years of teaching experience in primary science
• Clear and structured teaching style with strong concept explanation
• Strong track record of helping students improve and perform
• Experience in curriculum development, mentoring, or academic leadership is advantageous
• Someone who has taken initiative to improve teaching practices, curriculum, or student outcomes beyond their own classroom
• Comfortable operating in a programme-building environment and taking ownership

Why Join us:

• Opportunity to shape and lead a growing science programme
• Autonomy to implement ideas and build systems
• Small class sizes (up to 12) with focus on quality teaching

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Flexi-Adjunct Science Teacher (Primary) to deliver engaging and effective science lessons for P3–P6 students.

This role focuses on strong lesson delivery, student understanding, and contributing to a consistent and high-quality learning experience.

Key Responsibilities

• Teach small class sizes of up to 12 students.
• Deliver structured and engaging science lessons using the centre’s curriculum and teaching approach
• Explain concepts clearly and guide students in applying answering techniques
• Monitor student understanding and address learning gaps during lessons
• Mark students’ work, track their progress, and provide constructive feedback
• Maintain a safe, focused, and positive learning environment
• Build rapport with parents and provide updates on student progress termly

Job Requirements

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 1 year of teaching experience in primary science following MOE syllabus
• Strong subject knowledge with clear and structured explanation style
• Able to engage students and manage classroom effectively
• Responsible, consistent, and organised in lesson preparation and marking
• Open to feedback and continuous improvement
• Willing to adopt the Company's teaching approach and pedagogy
• Good interpersonal and communication skills

What we offer

• Flexibility to choose your working days and classes, provided you can commit to the full year for each class.
• Competitive remuneration rates: $280 to $744 per class (*range is based on one class per month, depending on experience, class level, and class size - excludes performance bonus.)
• Structured curriculum and teaching approach
• Supportive environment with opportunities for growth
• Opportunity to be part of a developing science programme
  

What to expect after applying

1. Application Acknowledgment:
   
   Once you submit your application, the hiring team will review your resume to shortlist candidates. This process can take up to 7 working days. We regret that only shortlisted candidates will be notified.
   
2. Interview:

• If your application is successful, you will receive a text/email from us.
• All shortlisted applicants will be required to complete an in-person competency assessment and interview.

All information collected will be kept in strict confidentiality and used for recruitment purposes only.

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Flexi-Adjunct Science Teacher (Primary) to deliver engaging and effective science lessons for P3–P6 students.

This role focuses on strong lesson delivery, student understanding, and contributing to a consistent and high-quality learning experience.

Key Responsibilities

• Teach small class sizes of up to 12 students.
• Deliver structured and engaging science lessons using the centre’s curriculum and teaching approach
• Explain concepts clearly and guide students in applying answering techniques
• Monitor student understanding and address learning gaps during lessons
• Mark students’ work, track their progress, and provide constructive feedback
• Maintain a safe, focused, and positive learning environment
• Build rapport with parents and provide updates on student progress termly

Job Requirements

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 1 year of teaching experience in primary science following MOE syllabus
• Strong subject knowledge with clear and structured explanation style
• Able to engage students and manage classroom effectively
• Responsible, consistent, and organised in lesson preparation and marking
• Open to feedback and continuous improvement
• Willing to adopt the Company's teaching approach and pedagogy
• Good interpersonal and communication skills

What we offer

• Flexibility to choose your working days and classes, provided you can commit to the full year for each class.
• Competitive remuneration rates: $280 to $744 per class (*range is based on one class per month, depending on experience, class level, and class size - excludes performance bonus.)
• Structured curriculum and teaching approach
• Supportive environment with opportunities for growth
• Opportunity to be part of a developing science programme

What to expect after applying

1. Application Acknowledgment:
   
   Once you submit your application, the hiring team will review your resume to shortlist candidates. This process can take up to 7 working days. We regret that only shortlisted candidates will be notified.
   
2. Interview:

• If your application is successful, you will receive a text/email from us.
• All shortlisted applicants will be required to complete an in-person competency assessment and interview.

All information collected will be kept in strict confidentiality and used for recruitment purposes only.

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-Associate-%28Comparative-Effectiveness-and-Real-World-Data-Analytics%29/32515-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 Associate (Comparative Effectiveness and Real-World Data Analytics)

Position Summary
The Centre for Health Intervention and Policy Evaluation Research (HIPER) (https://hiper.nus.edu.sg/) at the Saw Swee Hock School of Public Health (SSHSPH), NUS, is seeking to hire a researcher with a relevant Master’s degree to lead Phase III of the RODEO project, focusing on comparative analyses using oncology real-world data. The candidate will be responsible for designing and conducting comparative effectiveness studies across multiple myeloma, non-small cell lung cancer, and ovarian cancer using structured and processed unstructured data from electronic medical records.

The role is particularly suited to candidates with training in biostatistics, epidemiology, health services research, health economics, public health, data science, or a related field, and who have experience working with observational healthcare datasets.

Key Responsibilities:
• Lead the design and execution of comparative effectiveness analyses using real-world oncology data
• Develop study protocols and statistical analysis plans for observational cohort analyses
• Apply appropriate methods to address confounding, selection bias, missing data, and other threats to internal validity in real-world studies
• Conduct analyses using methods such as propensity score matching, inverse probability weighting, direct covariate adjustment, difference-in-differences, instrumental variables, and survival analysis
• Perform time-to-event analyses, including overall survival and progression-related outcomes
• Support partitioned survival analyses and other methods relevant to economic evaluation and health technology assessment
• Work closely with clinicians, health economists, and data scientists to identify clinically relevant treatment comparisons and confounders
• Collaborate with data engineers and analysts to ensure appropriate variable construction and dataset readiness
• Interpret findings in the context of health technology assessment, reimbursement, and policy decision-making
• Prepare technical reports, presentations, manuscripts, and conference abstracts
• Ensure analyses adhere to methodological standards such as STROBE and ISPOR good practice recommendations for real-world evidence studies
• Participate in project meetings with collaborators across NUS, NCIS, NUH, TTSH, NCCS, and other partner institutions

Requirements:
• Experience working with large observational healthcare datasets, registries, or electronic medical records
• Strong knowledge of causal inference and comparative effectiveness methods
• Experience using statistical software such as R, Stata, SAS, or Python
• Familiarity with oncology data, survival analysis, and longitudinal data analysis will be an advantage
• Understanding of health technology assessment, outcomes research, or economic evaluation is desirable
• Strong written and verbal communication skills
• Ability to work independently while collaborating effectively in a multidisciplinary research team

Preferred Attributes:
• Prior experience with real-world evidence generation in oncology
• Familiarity with OMOP common data model, OHDSI tools, or TRUST platform datasets
• Experience translating statistical findings into policy-relevant insights for clinicians, hospital leaders, or HTA agencies
• Interest in contributing to publications and future grant applications

Qualifications

• Master’s degree in Biostatistics, Epidemiology, Public Health, Health Economics, Data Science, Statistics, Health Services Research, or a related discipline

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• The candidate will conduct research on automatically analyzing Android applications and summarizing systems logs.
• Responsible for designing and implementing graphical user interfaces for various systems in this project, including the system for analyzing Android applications, the system for monitoring Android application executions, the website showcasing various project outputs, etc.
• Assist in developing the corresponding Android applications.
• Design, implement, and evaluate the user interfaces of various system components.
• Modify and improve existing systems that perform analysis on Android applications.
• Other duties as assigned.

• Minimum Bachelor's degree in computer science, information technology, information systems, or closely related disciplines.
• Masters degree is a plus.
• Good communication skills in English.
• Past research experience in computer security and software engineering is a plus.
• Advanced level of programming and software implementation, especially in C/C++ and Java.
• Good understanding of Android architecture and Android executables.
• Good analytical, technical, and problem-solving skills.
• Knowledgeable in software security problems and solutions.
• Applicants with research publications in security area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

Responsibilities

·        Provide and coordinate nursing care to patientswho participate in research studies

·        Enforce standards of care and professional codesof conduct.

·        Ensure safety and well-being of study subjects,and all clinical trial data are reliable

·        Recognise emergency situations and assist intreatment procedures

·        Prepare research metrics and reports forsubmission

·        Perform intensive monitoring of researchsubjects in early phase clinical trials

Job requirements

·        Diploma / Bachelor’s Degree in Nursing

·        Registered nursing qualification and registeredwith Singapore Nursing Board (SNB) with valid BCLS certificate

·        At least 5 years' clinical nursing experience inClinical Trial

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Yeo

Outsourcing Team

Recruit Express Pte Ltd, EA License No.: 99C4599

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Science Teacher (Primary) to deliver engaging and effective science lessons for P3–P6 students.

This role focuses on strong lesson delivery, student understanding, and contributing to a consistent and high-quality learning experience.

Key Responsibilities

• Teach 10 to 12 classes per week including covering classes where required. Single weekend contract available.
• Deliver structured and engaging science lessons using the centre’s curriculum and teaching approach
• Explain concepts clearly and guide students in applying answering techniques
• Monitor student understanding and address learning gaps during lessons
• Mark students’ work, track their progress, and provide constructive feedback
• Maintain a safe, focused, and positive learning environment
• Build rapport with parents and provide updates on student progress termly
• Support trial classes and centre-level activities
• Participate in team meetings and professional development sessions

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 2 years of teaching experience in primary science following MOE syllabus
• Strong subject knowledge with clear and structured explanation style
• Able to engage students and manage classroom effectively
• Responsible, consistent, and organised in lesson preparation and marking
• Open to feedback and continuous improvement
• Willing to adopt the Company's teaching approach and pedagogy
• Good interpersonal and communication skills

Why Join Us:

• Small class sizes (up to 12) with focus on quality teaching
• Structured curriculum and teaching approach
• Supportive environment with opportunities for growth
• Opportunity to be part of a developing science programme

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Science Teacher (Primary) to deliver engaging and effective science lessons for P3–P6 students.

This role focuses on strong lesson delivery, student understanding, and contributing to a consistent and high-quality learning experience.

Key Responsibilities

• Teach 10 to 12 classes per week including covering classes where required. Single weekend contract available.
• Deliver structured and engaging science lessons using the centre’s curriculum and teaching approach
• Explain concepts clearly and guide students in applying answering techniques
• Monitor student understanding and address learning gaps during lessons
• Mark students’ work, track their progress, and provide constructive feedback
• Maintain a safe, focused, and positive learning environment
• Build rapport with parents and provide updates on student progress termly
• Support trial classes and centre-level activities
• Participate in team meetings and professional development sessions

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 2 years of teaching experience in primary science following MOE syllabus
• Strong subject knowledge with clear and structured explanation style
• Able to engage students and manage classroom effectively
• Responsible, consistent, and organised in lesson preparation and marking
• Open to feedback and continuous improvement
• Willing to adopt the Company's teaching approach and pedagogy
• Good interpersonal and communication skills

Why Join Us:

• Small class sizes (up to 12) with focus on quality teaching
• Structured curriculum and teaching approach
• Supportive environment with opportunities for growth
• Opportunity to be part of a developing science programme

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Head of Science (Primary) to build and subsequently lead a high-quality P3 to P6 Science programme.

This role goes beyond teaching. You will shape the programme structure, strengthen curriculum and delivery, and later on, build teaching capability to ensure consistent student outcomes across centres.

Key Responsibilities

• Oversee and refine the P3–P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4–6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 5–8 years of teaching experience in primary science
• Clear and structured teaching style with strong concept explanation
• Strong track record of helping students improve and perform
• Experience in curriculum development, mentoring, or academic leadership is advantageous
• Someone who has taken initiative to improve teaching practices, curriculum, or student outcomes beyond their own classroom
• Comfortable operating in a programme-building environment and taking ownership

Why Join us:

• Opportunity to shape and lead a growing science programme
• Autonomy to implement ideas and build systems
• Small class sizes (up to 12) with focus on quality teaching

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

• Develop research reports, briefs, and articles using clear and compelling data storytelling.

• Design, implement, and analyse research studies and surveys to identify emerging labour market trends and gaps.
• Provide advisory support on statistical, analytical, and modelling methodologies.
• Track labour market developments and recommend innovative approaches to data analysis and visualisation.
• Collaborate with internal stakeholders to ensure research outputs are accurate, relevant, and impactful.

Requirements

• Bachelor’s degree in any discipline, with a strong interest in data analysis, numbers, and pattern recognition.
• Minimum 2 years of experience in research, analysis, or data‑related roles.
• Strong written and verbal communication skills, with the ability to explain data clearly to different audiences.
• Self‑motivated, responsible, and highly detail‑oriented.
• Exposure to statistical or analytical tools such as SAS, R, Python, or STATA.
• Experience with data visualisation tools (e.g. Tableau or Power BI).
• Knowledge or experience in econometric or quantitative modelling is an advantage.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating  suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/policies.  If you wish to withdraw your consent, please drop us an dataprotection@persolapac.com) to let us know. Please feel free to contact us if you have any queries

PERSOL Singapore Pte Ltd • RCB No.200007268E • EA License No. 01C4394• Reg No: R1440784 (Foo May Cheng) 

Working Hour

• Mondays to Thursdays: 7:30am to 4:30pm
• Fridays: 7:30am to 4:00pm

Requirement

At least GCE 'N' or 'O' Level certificate
At least 1 year of working experience in a Primary School Science Lab

Key Roles
a. Resource Management

• Conduct regular inventory management, including stock-taking, replenishing, repairs, and replacement of Science Lab items

• Assist the Head of Department (Science) in liaising with vendors for procurement

• Organise lab resources neatly with proper name labels

• Support teachers in facilitating student discussions

• Maintain the cleanliness and tidiness of the Science Labs

b. Resource Preparation

• Coordinate and manage loan requests from teachers

• Prepare and set up resources according to the scheme of work and teacher specifications

• Handle printing and photocopying duties in the Printing Room

• Create teaching aids, including cutting and laminating materials

c. Administrative Duties

• Assist with other ad-hoc administrative tasks and resource preparation as required by the school or department

Contract Period: From 17 Aug 2026 to 16 Aug 2028

Working hours:
·    Mondays to Thursdays: 7:30am to 4:30pm, inclusive of 30 min lunch break
·    Fridays: 7:30am to 4:00pm, inclusive of 30 min lunch break
·    Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Services:

1)    Management of resources:
·     Regular Inventory management in Science Labs including stock take, replenishing, repairs and replacement
·     Assist HOD (Science) to liaise with vendors in procurement for inventory management in Science Labs
·     Organise resources neatly with name labels in the Science Labs
·     Assist the teacher to facilitate student discussions
·    Tidying up of Science Labs

2)    Preparationof resources:
·     Co-ordinate loan request from teachers in the Science Labs
·     Preparing and set up of resources according to scheme of work & specifications given by teachers in the Science Labs
·     Printing and photocopying jobs in the Printing Room
·    Preparation of teaching aids such as cutting and lamination works in the Science Labs

3)   Administrative:
·    Assist with other ad-hoc administrative duties and preparation of resources for the Authority as required by the school and/or department.

Qualifications, skills and experience:
·     GCE 'N'/’O’ Level Certificate
·    Shall minimally have 1 year of working experience in Primary School Science Lab

MathSci Synergy is looking for a Senior Educator for Science.

Jobscope:

1. Conduct lesson for Science (from Primary to Secondary level)

2. Craft lesson content for enrichment classes

3. Create activities to introduce new concepts to students.

Requirement:

1. Strong interest to interact and guide students.

2. Team player and willing to work with other tutors to explore different style of teaching.

3. Prefer flexi-working arrangement rather than a fixed 9-5pm job.

Interested party, send your resume to pathfindertuition@gmail.com or send in your application through this post.

Role Overview
The Financial Controller is responsible for overseeing end‑to‑end financial operations, statutory compliance, internal controls and financial reporting. The role operates within a complex, matrixed multinational environment and partners closely with regional and global stakeholders to support growth, profitability and operational excellence across customer‑facing, manufacturing & R&D activities.

The successful candidate will combine strong technical accounting expertise with commercial acumen, systems proficiency, and hands‑on leadership, enabling high‑quality execution in a fast‑paced, capital‑intensive and compliance‑driven industry.

Key Responsibilities
Financial Reporting, Controls & Compliance

• Lead monthly, quarterly, and annual financial close processes, ensuring accuracy, timeliness and integrity of results
• Prepare and review financial statements in accordance with US-GAAP & IFRS corporate accounting policies
• Ensure compliance with statutory, tax and GST requirements for the legal entities
• Own SOX/ internal controls across finance and operational processes, including audit walkthroughs, documentation, testing support and remediation
• Serve as the local accountable executive to external auditors for statutory audits and maintaining strong audit outcomes

Accounting Operations for Manufacturing & Tech Environments

• Oversee accounting for complex transactions including:
  Revenue recognition for equipment, spares, services and long‑term arrangements
  Intercompany transactions, transfer pricing and cross‑border activities
• Ensure balance sheet integrity across high‑value assets, accruals and provisions
• Support entity lifecycle activities including entity setup, liquidation and restructuring as required

Financial Planning, Forecasting &Business Partnering

• Partner closely with Operations, Sales to:
  Drive accurate forecasting of revenue, cost of goods sold and operating expenses
  Support profitability, margin improvement and cost optimization initiatives
• Lead budgeting and forecasting cycles in dynamic, fast‑moving business environments
• Deliver timely, actionable financial analytics to senior and regional leadership

Systems, Process & Automation

• Drive continuous improvement initiatives across finance, including:
  Digital transformation
  Automation of reporting, reconciliation and analytics
  Reduction of manual processes and control risks
• Serve as finance lead for ERP and reporting systems (e.g. SAP, ECC, Adaptive, Power BI)
• Partner with global teams on finance transformation, data governance and system enhancements

Leadership & Stakeholder Management

• Lead, mentor and develop a high‑performing finance team in the region
• Foster a culture of accountability, quality and continuous improvement
• Collaborate effectively with regional and global finance & operations teams across the region
• Serve as a trusted finance partner to senior management in a matrixed multinational organization

Qualifications & Experience
- Bachelor’s degree in accounting, Finance, or related discipline
- Professional accounting qualification (ISCA, ACCA, CPA, CA, or equivalent)
- 15–20+ years of progressive finance and accounting experience within semiconductor, manufacturing, or technology MNCs
- Deep expertise in:
Financial reporting and statutory compliance
SOX/ internal controls
Consolidation and regional accounting
Manufacturing or technology business models
- Strong experience operating in complex, matrix organizations with global stakeholders
- Advanced proficiency in ERP systems (SAP preferred) and financial reporting/ BI tools

Key Competencies
- Strong technical accounting and compliance expertise
- Solid understanding of manufacturing, supply chain, and technology business drivers. Commercial mindset with strong business partnering skills
- Proven leadership and people development capability
- High attention to detail, resilience and ability to operate in fast‑paced environments
- Track record of driving process optimization and automation in global settings

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

For more details, please view: https://www.cares.cam.ac.uk/research/clic/

We are looking for a Research Fellow to support research activities on neuroimaging, and training-related brain changes in adults. The role will focus on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members.

Key Responsibilities:

• Design and conduct experiments on neuropersonalised training using EEG and non-invasive brain stimulation methods

• Develop and update training manuals and protocols, perform version maintenance

• Oversight of compliance with relevant regulations and governance arrangements for the portfolio of studies, including processes for ensuring safety reporting and data quality  

• Oversee research ethics requirements, including updating and management of IRB documents

• Develop pipelines for updating and reporting of project progress

• Develop best practices of overall project data management and ensure implementation of agreed quality control and assurance systems to ensure a consistent and standardised approach across studies and teams

• Conduct analysis of data and summarise research findings

• Conduct literature reviews for publications and research briefings

• Assist with preparing academic publications (e.g., journal, conference, book)

• Contribute to the production of research reports

• Contribute to the dissemination of research findings

• Perform other research-related tasks as required by the Principal Investigators

Job Requirements:

• Doctorate (PhD) degree in experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, or related fields

• Experience with EEG acquisition and analysis, as well as non-invasive brain stimulation techniques

• Experience with conducting behavioral experiments in neuropsychology or cognitive psychology

• Good statistical knowledge and skills, and familiarity with statistical packages

• Good programming and IT skills (i.e., Matlab, Python)

• Strong interpersonal and team building skills

• Excellent communication skills

• Demonstrable managerial and leadership skills, with ability to motivate staff

• Excellent organizational skills and able to work within given deadlines

• Familiarity with image data analysis tools such as SPM, FSL, AFNI, DSIStudio, Matlab, Python etc

• Prior experience with academic publication processes and reports

• Experience of clinical trial project management 

• Data management experience with REDCap

• Experience of target setting and performance review

• Self-directed learner who effectively picks up relevant skills as needed

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

Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28CIRC%29/28589-en_GB/?st=FCA72A7D0B9BD455C6D15EC35EEE3B70C68BEF40

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Clinical Imaging Research Centre (CIRC), Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre, equipped with state-of-the-art, GMP-certified facilities for the on-site production of PET and theransotics radiopharmaceuticals, as well as the development of novel molecular imaging probes. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area for advanced modalities of PET-CT and PET-MRI. 

We are seeking an experienced Research Fellow to manage and oversee cutting-edge research in the development of radiopharmaceuticals. In this pivotal role, you will guide a team of radiochemists and researchers, manage complex radiochemistry projects, and contribute to the advancement of innovative treatments for medical imaging and cancer therapy. You will oversee the development, optimization, and validation of radiochemical processes, while ensuring compliance with regulatory standards and fostering a culture of scientific excellence within the laboratory. 

Purpose of the post 
The Research Fellow will be an essential staff leading the development of radiopharmaceuticals, including focusing on innovative strategies for diagnostic and therapeutic applications. Assisting in the development of new radiochemical synthesis methods and new molecular imaging probes 

Main Duties and Responsibilities

The Research Fellow will be able to: 

•    Leadership & Team Management: Lead and mentor a team of radiochemists and research scientists, manage complex radiochemistry projects, and contribute to the advancement of innovative treatments for medical imaging and cancer therapy. Able to provide technical expertise, career development, and performance management. Promote a collaborative and high-performance work environment. 

•    Research & Development: Drive the design, synthesis, and characterization of novel radiopharmaceuticals, focusing on innovative strategies for diagnostic and therapeutic applications. Oversee the development and optimization of radiochemical methodologies and perform routine production of radiopharmaceuticals using automated radiochemistry synthesis modules to carry out radioisotope incorporation (e.g., F-18, C-11) and radiotracer formulation. Assisting in the development of new radiochemical synthesis methods and new molecular imaging probes.
•    Project Management: Manage and prioritize multiple research projects, ensuring timely completion within budget and in alignment with the company’s strategic goals. Develop project plans, timelines, and resource allocation strategies.
•    Regulatory Compliance: Ensure compliance with regulatory standards, including cGMP, FDA, EMA, and other relevant standards. Lead efforts for the preparation and submission of regulatory documentation for new radiopharmaceutical products and foster a culture of scientific excellence within the laboratory.
•    Collaboration: Work closely with cross-functional teams, including clinical development, manufacturing, quality assurance, and external collaborators, to ensure successful translation of research findings to clinical applications.
•    Innovation & Process Optimization: Identify and implement new technologies, techniques, and methodologies to improve the efficiency and quality of radiopharmaceutical production. Continuously seek opportunities for innovation in radiochemistry and radiopharmaceutical manufacturing.
•    Publications & Presentations: Author and present scientific publications in peer-reviewed journals and at industry conferences. Represent the company at scientific meetings, fostering relationships with key opinion leaders in the field.
•    Laboratory Management: Assist in writing of SOPs, involved in routine maintenance of laboratory equipment, maintaining a clean and safe laboratory environment; and any ad hoc duties as required for this role.
•    Budget Management: Manage the research budget, ensuring efficient allocation of resources. Oversee the procurement of necessary materials, equipment, and supplies.

Qualifications

•    Education: PhD in Radiochemistry, Chemistry, Pharmaceutical Sciences, or a related field.
•    Experience: Minimum of 5-10 years of hands-on experience in radiopharmaceutical research and development, with at least 3-5 years in a management or leadership role.
•    Expertise: In-depth knowledge of radiochemical synthesis, purification techniques, and characterization methods for radiopharmaceuticals. Expertise in GMP practices and regulatory compliance is required.

•    Technical Skills: Proficient in radiochemical instrumentation and analytical techniques (e.g., HPLC, TLC, gamma spectroscopy). Familiarity with drug development and clinical trial processes is a plus.

•    Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues in radiochemical processes and product development.
•    Innovation: A passion for scientific innovation and a drive to push the boundaries of radiopharmaceutical development.

Personal Attributes: 

•    Strong leadership and team-building capabilities.
•    Excellent communication skills, both written and verbal.
•    Detail-oriented, with a focus on quality and accuracy.
•    Ability to thrive in a fast-paced, dynamic work environment.

Preferred Qualifications: 

•    Experience in the commercialization of radiopharmaceuticals.
•    Familiarity with the clinical application of radiopharmaceuticals in oncology or neurology.
•    Industry experience in an FDA-regulated environment or similar.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Miss Emmalyn Chan Mei Mei at emma.chan@nus.edu.sg. 

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal. 

We regret that only shortlisted candidates will be notified. 

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-Fellow-%28Mathematics%29/32475-en_GB/?st=9A4A78DB0823DB4BA251A11A058E4A86FD0CCB50

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Toh Kim Chuan on methods for convex relaxations of nonsmooth nonconvex optimization under a project on "Methods for nonsmooth nonconvex optimization".

The main responsibilities of the position include the followings: 
•    Conduct independent research on the design, analysis and implementation of efficient and robust algorithms for large-scale structured convex/nonconvex optimization problems.
•    Conduct simulations and experiments to validate established theoretical results and evaluate the performance of the proposed algorithms.
•    Prepare technical reports, research papers, and presentations for academic conferences and journals.
•    Work closely with faculty members, postdocs, and PhD students on research projects.

Qualifications / Discipline:  
•    Graduating PhD or recent PhD holder specializing in computational optimization. 

Skills: 
•    Advanced knowledge on optimization theory and algorithms at PhD level is required, especially strong theoretical and numerical understanding of advanced nonsmooth and/or nonconvex optimization algorithms for matrix and discrete optimizations.
•    Proficiency in Python or Julia, Matlab, C++ for algorithmic implementation. 
•    Good academic writing and presentation skills for publishing research findings.
•    Ability to work independently and collaboratively in an interdisciplinary research environment.

Experience:   
•    At least 2 years of independent research experience in the design and implementation of efficient algorithms for solving large-scale convex/nonconvex nonsmooth optimization problems.
•    Demonstrated research and intellectual ability, such as having published research papers in premier optimization journals related to the job requirements.  

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.

Key Responsibilities:

• The postdoctoral applicant must demonstrate commitment to co-create impactful discoveries in the microbiome gut-brain neuroscience field with us.

• In addition to being exceptionally motivated, having core skills for animal and lab work, and willing to work in our team and help with essential lab duties.

• The candidate must have experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics.

Key Competencies/Requirements:

• Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record

• Lead impactful work within the lab’s research theme on the microbiome gut brain neuroscience

• Exhibit proficiency in mice/rodent handling, optogenetics and behaviours, animal surgery and dissection

• Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics

• Be highly motivated and conscientious, able to work independently and with a team, and willing to teach, learn, and assist with essential lab duties

We regret 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-%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.