Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We seek a full-stack engineer passionate about delivering the best user experience for cutting-edge technology. You will build the back end, which empowers the next-generation AI assistant, and the front end, which creates seamless new workflows.

Responsibilities

• Work with the core research team to idealize design concepts
• Participate in all aspects of agile software development, including design, implementation, and deployment
• Architect and design end-to-end systems optimized for speed and scale
• Build the front-end of applications through appealing visual design
• Test software to ensure responsiveness and efficiency
• Build features and applications with a mobile responsive design
• Write technical documentation

Qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Interest in learning new tools, languages, workflows, and philosophies
• At least one year of experience in building software applications
• Experience in building web applications, and designing and integrating RESTful APIs are added advantages.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
• Excellent debugging and optimization skills
• Experience in unit/integration testing
• Excellent communication and teamwork skills
• Employment type: 12 months' contract

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Central Procurement Office seeks a highly motivated and experienced individual to join our Business Partnering & Shared Services team. The successful candidate will collaborate with both external and internal stakeholders and ensure the success of the team in delivering a full spectrum of procurement activities to meet the dynamic needs of the businesses in departments at NUS Bukit Timah Campus

Duties and Responsibilities

Relationship Management and User Support
• Manage relationships and communications between users and procurement
• Provide end-to-end support and guidance to users on procurement policy, procedures and system
• Primary point of contact between users and other specialist departments, e.g. Legal and Finance
• Conduct training programs for university staff on procurement policies, procedures, best practices and system

Procurement Planning and Category Management
• Conduct procurement planning
• Produce regular reporting of procurement performance and spend analysis
• Conduct analyses to identify potential consolidation opportunities to optimise procurement efficiencies
• Develop a sound supplier network, manage supplier relationships and contracts
• Drive strategic category management of assigned commodities in the General Goods and Services (GGS) category at university level

Procurement Operations
• Administer quotation and tender processes and review procurement documents
• Participate in the evaluation of bids and conduct negotiations, prepare recommendation reports, and facilitate the approval and award of bids in consultation with users
• Perform procurement transactions timely in NUS' procurement system, Ariba (i.e. publication, bid download, award, PO creation, goods receipt) to meet service levels
• Identify and implement procurement processes improvements to streamline workflows

Additional Responsibilities
• Any other duties assigned by the University and the Department

Qualifications

1. Recognized University degree
2. Minimum 5 years procurement experience familiar with tendering processes, bid evaluations, report writing and contract negotiation
3. Good interpersonal, communication and time management skills
4. Results oriented with a demonstrated commitment to teamwork
5. Experience as a change agent in an organisation
6. Proficient in SAP Ariba and Microsoft Office
7. Strong proficiency in written and spoken English for drafting tender specifications and facilitating effective communication with stakeholders and suppliers

Job Description :

• Contribute to teaching and mentoring of medical students and research PhD students where applicable
• May have substantial involvement in overseeing core research facilities and technology implementation improvement.

Job Requirements:

• PhD in statistics /biostatistics/quantitative field
• 3 – 5 years’ experience using STATA/SAS/SPSS, preferably in a clinical research environment.
• Competency in general statistical theory and methods
• Strong analytical and problem-solving skills
• Demonstrated ability to communicate well with others (clinicians and statisticians), both verbally and in writing.
• Ability to teach and demonstrate software applications

We regret that only shortlisted candidates will be notified.

Job Description :

• Provide co-supervision of graduate research students and/or fellows.
• Contribute to collaborative research between the University and industry.
• Contribute to general programme/departmental activities and development where applicable.
• May have involvement in overseeing core research facilities and technology implementation/ improvement.
• Provide quality supervision/teaching and mentoring of learners related to field of expertise.
• Understand the curricular goals and objectives of the programme from which learners come and contribute to the curricular development and planning designed to achieve those goals.
• Provide timely and quality feedback to both the learners/programme as well as the educational institution.
• Engage in some form of educational service activities (e.g., recruitment, committee work, co-curricular activities, etc.) to support the school or learners’ development.

Job Requirements:

• PhD
• Expert technical knowledge of major scientific area.
• Achieved excellence in research capabilities with international recognition of research contributions.
• Proven track record of academic publications and award recognitions.
• Sustainable indication of leadership excellence in directing the research efforts of others.
• Possess excellent written and communication skills with strong writing and critical thinking skills.
• Proven ability to work harmoniously in a team and to establish and maintain effective professional peer working relationships.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

According to the QS Rankings 2024, the NUS Department of History is ranked 11th among university history departments worldwide, and 1st in Asia. It is one of fifteen Departments, a Program, and a Language Centre within the Faculty of Arts and Social Sciences, and Southeast Asia and East Asia are areas of special strength for the Department, which consists of more than thirty faculty members with research interests in various aspects of Asian, European, and U.S. history, as well as business, environmental, international, legal, maritime, military, and religious history, and science and technology studies.

The Department of History at the National University of Singapore (NUS) invites applications for a part-time lecturer to teach HY5415 Theatres of Memory: Performing Public History in Semester 2, AY2024/25. Applicants should have relative teaching experience with history background. Candidates for the position must demonstrate the potential for excellence in teaching.

Course description of HY5415 Theatres of Memory: Performing Public History

This course surveys how societies gain new understandings of the past through performances in the public sphere. A broad spectrum of performances across various cultural contexts will be explored, including theatre and dance, historical re-enactments, public rituals, immersive exhibitions, films, and digital sites such as video games and social media. This course equips students with a toolkit with which to interpret, analyse, and reflect on the dramaturgical strategies and techniques that shape the stories told in these performances, examining how they enhance historical consciousness and negotiate the distance between past and present for the communities involved.

Interested applicants are invited to apply directly at our NUS Career Portal. Application dossiers should include a C.V. with a complete list of publications and courses taught as well as any other relevant information; a sample of your best writing. We regret that only shortlisted candidates will be notified.

For more information, you can write to

Department of History

National University of Singapore

hissec@nus.edu.sg

Visit our websites at https://fass.nus.edu.sg for information on the Faculty, and https://fass.nus.ed.sg/hist/ for information on the Department of History.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has an immediate vacancy in the area of regional sea level variability in the warming climate.

The ongoing Project “Understanding the low-frequency variability of coastal sea level in Southeast Asia using a regional ocean model and observations” has been funded by National Research Foundation until 31 July 2025. The successful candidate will be working with a multidisciplinary team of atmosphere and ocean scientists, and particularly be responsible for:

-running NEMO ocean model using past and projected forces provided by the atmospheric team;

-use data analysis and model simulations experiments to understand the mechanism of regional sea level variability driven by large scale atmosphere/oceanic processes.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following demonstrated knowledge, skills and experience:

• Understanding of regional sea level variability and large-scale atmosphere/ocean coupling;
• Understanding of mechanisms of ocean response to the climate change;
• Capability to set and run regional sensitivity experiments using NEMO ocean model;
• Capability to use data analysis methods for ocean dynamics research;
• Ability to work in multidisciplinary team of researchers, including ocean and atmosphere scientists;
• PhD in ocean sciences from a recognised University
• Track records in publications.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The staff would lead at least one project under supervision of the Principle Investigator (PI).

• The scope of the project is on biomass valorization for either aviation fuel production or transformation into advanced materials.
• Develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• Executive the plan experimentally and interpret the data critically.
• Report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• Draft manuscripts and attend conferences to publicize the project findings.
• Support other team members and train junior colleagues.
• Draft research proposal together with the PI.

Qualifications

A well-qualified candidate should:

(1) be passionate about research;

(2) have a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;

(3) be an expert of chemical conversion of natural and synthetic polymers;

(4) command both spoken and written English at professional level;

(5) be a good team player;

(6) excellent publication record in related areas.

Responsibilities:

1. Achieve optimal profitability and overall success by managing costs and service quality.

2. Supervise and co-ordinate daily banquet operations including control of Banquet inventory

3. Ensure set-up of banquet room, food presentation, serving, customer service and clean-up are carried out according to standards.

4. Schedule full time and part time staff to provide adequate and consistent level of service within approved/budgeted manpower cost.

5. Ensure all staff (including part time staff) are given proper training

6. Work with the Chefs, Banquet Sales and Facilities department to ensure all arrangements and details of the event are dealt with.

7. Handle customer feedback and follow up on problems which may arise from event

Any other duties as may be assigned from time to time

Requirements

1. At least ‘O’ level and above with 3-5 years of relevant experience in banquet operations and managerial position

2. Ability to establish good rapport with customers for repeat sales

3. Strong leadership and communication skills

4. Service oriented with a positive personality and comfortable with interacting with people of all levels.

Responsibilities

1. Take charge of the coffee bar, ensuring cleanliness and tidiness

2. Take and deliver orders, consistently demonstrating high levels of customer service

3. Operate espresso machines, grinders, and other coffee-making equipment with care and precision

4. Have a comprehensive knowledge of the drink menu

5. Maintain quality and consistency of the coffee

Any other duties as may be assigned from time to time

Requirements

1. 2-3 years of relevant experience and proficient in latte art

2. 5 days work week (weekends and PH will be rostered to work)

3. Excellent communication and interpersonal skills.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://career44.sapsf.com/sfcareer/jobreqcareer?jobId=1832&company=nationalunP2

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a dedicated and bioinformatics-trained Research Assistant/Research Associate to join our team! If you are passionate about contributing to ground-breaking research and have expertise in bioinformatics and related techniques, we want to hear from you.

Duties & Responsibilities

• Perform bioinformatics analyses related to RNA biology.
• Assist in data processing, storage, and management.
• Apply computational tools to analyze large-scale NGS datasets.
• Contribute to the design and implementation of research protocols.
• Collaborate with team members to publish results in scientific journals.

Qualifications

• Bachelor's or Master’s degree in Bioinformatics, Computational Biology, Genetics, or a related field.
• Experience in RNA biology research or (epi)genomic data analysis is highly desirable.
• Proficiency in programming languages (e.g., Python, R) for data analysis.
• Familiarity with (epi)genomic databases and RNA sequencing data processing tools.
• Strong problem-solving skills and the ability to work both independently and collaboratively.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.

Origins Lab

The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.

Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.

We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.

We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.

Duties and Responsibilities

1. Perform data preparation and visualization
2. Conduct data analysis from study cohorts (with guidance)
3. Create publication-quality tables and figures
4. Complete relevant literature search
5. Draft scientific manuscripts
6. Assist in grant applications
7. Optimization/automation of existing workflows
8. Exploration of novel statistical methods from leading journals

Qualifications

• Bachelor's Degree in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
• Proficient in Stata, R, MATLAB or Python
• Good writing skills
• Works well in a team

Remuneration will be commensurate with the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Dr Yi Ying Ong at yy.ong@nus.edu.sg

Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any)

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Associate in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.

Origins Lab

The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.

Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.

We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.

We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.

Duties and Responsibilities

1. Lead high-impact publications (with guidance)
2. Assist in grant applications
3. Optimization/automation of existing workflows
4. Exploration of novel statistical methods from leading journals

Qualifications

• Master's Degree in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
• Proficient in Stata, R, MATLAB or Python
• Good writing skills
• Works well in a team

Remuneration will be commensurate with the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Dr Yi Ying Ong at yy.ong@nus.edu.sg

Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any)

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

NUS College is the honours college of NUS and conducts the outreach and admissions process in collaboration and partnership with the Office of Admissions, partner faculties, and other partners in NUS. The incumbent will play a crucial role in the admissions process, such as the coordination of interviews and assessments, responding to admissions-related queries, and reaching out to candidates on pre- and post-acceptance procedures. He/she will also support in selected outreach efforts.

Duties and Responsibilities:

• Assist in coordinating interviews and assessments for more than a thousand applicants; this includes, but is not limited to, working with interviewers and candidates and helping with scheduling requests, organising the set-up of the holding area for in-person interviews, being on-site to manage any unexpected events during interviews, setting up zoom links for online interviews, working with interviewers and readers to ensure that their scores are submitted in a timely manner
• Assist in coordinating with the Office of Admissions and other institutions in NUS on admissions matters
• Keep track of admissions decisions made for applicants and on admissions postings made by the Office of Admissions
• Follow-up with applicants on post-acceptance procedures, in particular to contact candidates to make sure they register for housing
• Provide administrative support for scholarship selection
• Provide administrative support for admissions to specific programmes
• Assist in answering queries in the mailbox
• Procurement of catering and supplies
• Other duties as assigned, including working with other administrative teams in NUS College on cross-functional and shared duties

Qualifications

• University degree with at least 3 years of relevant experience in admissions and student recruitment
• Organised and meticulous with attention to detail
• Display tact and discretion in handling admissions information
• IT savvy and proficient in MS Office applications
• Proficiency in English language
• Has strong commitment to service delivery and able to multi-task and maintain calm under pressure in a fast-paced and dynamic environment
• Responsible and aware of the key role played in the admissions process, ability to adhere to timelines for the admissions process
• A good team player with excellent communication skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.

Origins Lab

The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.

Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.

We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.

We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.

Duties and Responsibilities

1. Lead high-impact publications (with guidance)
2. Assist in grant applications
3. Optimization/automation of existing workflows
4. Exploration of novel statistical methods from leading journals

Qualifications

• PhD in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
• Proficient in Stata, R, MATLAB, or Python
• Good writing skills
• Works well in a team

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yi Ying Ong at yy.ong@nus.edu.sg

Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any) to:

Only shortlisted candidates will be notified.