Total 2,514 Science / R&D / Research job vacancies

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-%28Fluid-mechanics%29/33185-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Conduct computational fluid dynamics (CFD) simulations 
•    Conduct experiments in wind tunnels and water channels
•    Analyze experimental and simulation data and summarize key findings and observations
•    Collaborate with other team members to design experiments, develop simulation methodologies, data collection and analysis
•    Assist in the preparation of research proposals and technical reports
•    Lead and contribute to peer-reviewed publications, conference presentations, and internal research reporting
•    Maintain organised research workflows (version control, reproducible experiments, 3D model management, documentation).
•    Support broader project goals as needed (e.g., dataset curation, method benchmarking, cross-validation of simulations with actual measurements)

Job Requirements

•    PhD in Mechanical/Civil/Environmental Engineering or equivalent
•    Proficiency in computational fluid dynamics (CFD) simulations software
•    Proficiency in wind tunnel and water channel experiments
•    Strong passion in research and can conduct research independently
•    Fluent in English and able to present research to both researchers and the general public 
•    Strong publication record

Our IT team partners with the business to design innovative solutions across research, manufacturing, commercial, and animal health. You’ll help to shape company-wide products using generative AI and intelligent agents to boost productivity and drive innovation.

We are seeking one energetic, forward-thinking professional. It is a AI Research Scientist position (1-2+ years' experience) in our Technology Center in Singapore.

You will have the opportunity to work on global teams to identify and tackle the biggest opportunities and challenges at the intersection of healthcare, information and technology. We offer project-based rotations to help with your professional development, and a flat, collaborative environment.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

Primary Responsibilities

• Perform research, assessments, and technical evaluations of AI models, methods, and frameworks to solve problems or derive benefits to company AI capabilities and generative AI program

• Conduct feasibility studies and create working proof of concepts for use-cases by exploring applications of AI to internal problems and datasets to de-risk AI engineering delivery

• Participate in internal professional communities of practice and mentor colleagues to raise artificial intelligence and data science maturity within the company

• Assist in technical training to up-skill colleagues to raise the data science competency levels within the company

• Proactively scan and keep up to date with AI research

Requirements

• Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Computer Vision, Image processing is highly preferred

• We evaluate candidates on a case-by case basis but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Data Science, Analytics, Physics, and Bioinformatics

• Understanding of artificial intelligence research landscape and ability to review research publications, particularly in one of the following fields: generative AI, Machine Learning (ML), Natural Language Processing (NLP), or Computer Vision (CV)

• Hands-on code development experience and familiarity with the Python scientific computing stacks

• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity

• Proficiency in GenAI, deep learning, NLP, CV, and ML frameworks, other AI disciplines regarded useful

• Familiarity with developing and deploying within a cloud-based infrastructure and services (AWS or MS Azure environment) is plus

• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, or commercial is plus

What we offer: 

• Exciting work in a great team, global projects, international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model, flexible role pattern

• Internal reward system plus referral program

• Competitive salary, incentive pay, and many more

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies.

The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS), engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection in ambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources.

As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Background & Scientific Context

Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in machine learning for audio analysis. Within HEARTwise at TUMCREATE, you will lead the development of artificial intelligence algorithms for audio classification of heart and lung sounds. Through multimodal integration with data from mobility sensing and other biomarkers, you will create a reliable tool for early decompensation detection in ambulant HF patients. You will be working in a team developing a tool for audio data collection in the clinic, running a clinical study for data collection, working with clinicians to create an annotated database, and validating your classification prototype in a pilot clinical diagnostic study.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Develop prototype algorithms for audio classification of heart and lung sounds.
• Contribute to clinical data collection, database building, multimodal data analysis,clinical prototype app development.
• Verify the technology against requirements and validate in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in deep learning signal analysis,preferably with audio data.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in electrical engineering,physics, data science, computer science, or similar, and a proven track record in machine learning and (audio) signal processing. Fresh graduates and PhD candidates will also be considered.
• Proficiency in Python/Matlab and anaconda (or similar).
• Experience in C/C++ and database interfacing and in user or clinical studies is desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

Please submit the following compulsory documents to hr@tum-create.edu.sg:

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies.

The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS),engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection inambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources.

As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Background & Scientific Context

Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in signal processing, in user or patient research studies, and in creating software for participant testing. You will collaborate with clinicians and be responsible for audio data collection of heart and lung sounds in the clinic, for creating an annotated database, and for validating sound classification prototypes in a pilot clinical diagnostic study. You will work on prototype algorithms for classification of heart and lung sounds and develop approaches for integrating multimodal data from mobility sensing and other biomarkers to create a reliable tool for early decompensation detection in ambulant HF patients.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Work on classification algorithms of heart and lung sounds, on multimodal data analysis and fusion, and on verifying the technology against requirements.
• Work with clinicians on data collection from heart failure patients and build a database under consideration of data protection and ethical requirements
• Develop a tool for audio data collection in the clinic, advance it into a clinical audio classification prototype and validate it in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in signal processing, user or patient studies, and in creating software for participant testing.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in hearing research, electrical engineering, biomedical engineering, human factors engineering, (medical) physics, computer science or similar and a proven track record in (audio) signal processing and in developing and conducting research studies with users or patients. Fresh graduates, PhD candidates and Engineers in similar fields will also be considered.
• Proficiency in C/C++,Matlab/Python and anaconda (or similar).
• Experience in machine learning and database interfacing is highly desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

Please submit the following compulsory documents to hr@tum-create.edu.sg:

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

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-%28Computer-Science%29/33203-en_GB/?st=148CE054359BE2C7B80B2B9D9F4D62543197147D

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 Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow is going to conduct research in areas of efficient AI, multimodal understanding, vision and robotics.

Only shortlisted applicants will be notified.

Job Requirements

• Ph.D. in Computer Science or a closely related field
• Excellent research skills, including data analysis, interpretation, and scientific writing
• Good publication record
• Strong communication and collaboration skills
• Ability to work independently and manage multiple tasks effectively

Nurse | Clinical Research Unit

• Office Location: Buona Vista, Singapore
• Working Hours: Flexible
• Monthly Salary: Hourly Rate
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Clinical Care Excellence – Deliver professional and high‑quality care in the management of clinical trial subjects/volunteers within the Clinical Research Unit (CRU).

• Confidentiality & Privacy – Safeguard subject/volunteer privacy and maintain strict confidentiality of all privileged information.

• Data Management – Collect, verify, and ensure proper storage of trial data in compliance with protocols.

• Biomedical Equipment Operation – Operate biomedical equipment proficiently to support clinical trial activities.

• Safety Compliance – Apply standard safety measures to protect self and others from biohazard materials, including blood‑borne pathogens.

• Trial Execution Support – Follow instructions from the Study Nurse‑in‑Charge to ensure smooth execution of clinical trial activities.

Requirement

• Registered with Singapore Nursing Board.
• Minimum 2 years of nursing experience in direct inpatient nursing.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

Research Technologist

• Office Location: Buona Vista, Singapore
• Working Hours: Shift work
• Monthly Salary: Hourly Rate
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Sample Management – Assist in laboratory kit preparation, ensure proper processing, labeling, storage, and shipment of biological samples in compliance with protocol, GCP, GLP, and SOPs.

• Data & Record Accuracy – Perform data entry, verification, and maintain detailed records to reflect current workflow processes.

• Quality Assurance – Conduct quality checks on shipping documents, monitor temperature‑controlled products, and ensure compliance with sponsor requirements.

• Laboratory Equipment Maintenance – Perform routine checks, maintain inventory, and adhere to quality control processes for laboratory equipment operations.

• Calibration & Documentation – Support calibration, qualification, and validation of biomedical systems; maintain proper documentation for traceability and preventive maintenance.

• Team Collaboration – Work closely with Research Technologists to ensure equipment readiness and operational compliance across laboratory processes.

Requirement

• Minimum Diploma in Health Science
• Good interpersonal and communication skills, with the ability to coordinate effectively.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

We are looking for an experienced and qualified Senior Chef to organize the kitchen’s activities. You will be the first in command in the facilities and will create and inspect dishes before they arrive at the customers ensuring high quality and contentment.

• Check freshness of food and ingredients

• Supervise and coordinate activities of cooks and other food preparation workers

• Develop recipes and determine how to present the food

• Plan menus and ensure uniform serving sizes and quality of meals

• Inspect supplies, equipment, and work areas for cleanliness and functionality

• Control and direct the food preparation process and any other relative activities

• Construct menus with new or existing culinary creations ensuring the variety and quality of the servings

• Approve and “polish” dishes before they reach the customer

• Plan orders of equipment or ingredients according to identified shortages

Requirements

• Proven min 2 years to 5 years experience as a chef

• Exceptional proven ability of kitchen management

• Ability in dividing responsibilities and monitoring progress

• Outstanding communication and leadership skills• Up-to-date with culinary trends and optimized kitchen processes

• Prepares ingredients by following recipes;slicing, cutting, chopping, mincing, stirring,whipping, and mixing ingredients; adding seasonings; verifying taste; plating meals.

• Completes hot meal preparation by grilling,sautéing, roasting, frying, and broilingingredients and assembling and refrigerating cold ingredients.

• Adheres to proper food handling, sanitation, and safety procedures;maintains temperature and Hazard Analysis Critical Control Point (HACCP) logs as required and maintains appropriate dating, labelling and rotation of all food items.

• Contributes to daily,holiday and theme menus in collaboration with supervisor.

• Maintains cleanliness and sanitation of equipment, food storage, and work areas.

• Completes cleaning according to daily and weekly schedules and dishwashing/pot washing.

• Listens to customer complaints and suggestions and resolves complaints.

• Implements suggestions within parameter of position and refers more complex concerns to supervisor.

• Participates in and/or contributes to programs,committees, or projects designed to improve quality of service and employee productivity.

• Maintains clean work areas, utensils, and equipment.

• Develop new menu items while improvising the existing ones.

• Maintain and manage kitchen expenses, food cost, inventory and staffing within the budgetary limits.

• Able to cook north Indian food.

• Able to do shift work.

• Assisting with the preparation of food and the serving of all meals to customers.

• Supervising a team to ensure that the kitchen and service areas are clean and tidy.

• Ensuring all food and health and safety regulations are followed.

This will be a 2-years direct contract position.

Responsibilities

• Translate strategic direction into actionable digital transformation and delivery plans for ML/AI initiatives.
• Oversee architectural decisions that enable scalable analytics capabilities
• Ensure that technical standards and responsible AI frameworks are consistently applied.
• Define divisional outcomes and OKRs in alignment with goals.
• Develop long-term roadmaps, and drive their execution across teams.
• Identify and remove systemic inefficiencies, anticipate risks, and take decisive action to navigate challenges.
• Build strategic cross-functional partnerships.
• Champion a culture of continuous improvement, open communication, and innovation.
• Build and manage a high-performing team.
• Coach people managers, scientists and engineers.
• Set hiring standards and lead recruitment efforts to bring in and develop top talent.
• Conduct regular 1:1s with direct and indirect reports.
• Gather feedback on team health and create the infrastructure and environment for consistent, motivated performance.

Requirements

Deep expertise in

• Satellite data exploitation, cloud infrastructure deployments and government security requirements.
• Data analytics, database management, and software development.
• Strong communication, interpersonal, and presentation skills.
• Able to think strategically and translate complex technical concepts into clear, actionable plans is important.
• Satellite mission control software, space systems, orbital analysis tools, and space weather monitoring highly advantageous.
• Experience in program development and management is highly advantageous.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

Responsibilities

• Develop and implement electrical engineering solutions in collaboration with a cross‑functional project team to meet project objectives and safety standards 
• Define new design requirements, functional specifications and test documentation
• Design electronic circuits and/or systems at the test‑concept or operational level 
• Perform root cause analysis at the system or PCB level under broad supervision; evaluate test results and prepare detailed reports and recommended corrective actions
• Conduct qualification activities for PCB designs and electronic components
• Support the setup, configuration, and operation of test environments in accordance with documented test plans
• Apply a strong understanding of downhole tool working principles to support tool development, testing, troubleshooting, and performance evaluation
• Ensure all documentation complies with Halliburton’s standard processes, quality systems, and reporting requirements
• Collaborate effectively within a team environment, demonstrating clear and professional communication to support innovative engineering solutions

Requirements

• Bachelor’s Degree or Master's in Electrical or Electronics Engineering
• Solid foundational knowledge of electrical and electronic circuit design, including the ability to interpret schematics and use standard laboratory equipment (oscilloscopes, digital multimeters, function generators, power supplies, etc.)
• Hands-on experience with fundamental electronic building blocks (e.g., DC-DC converters, operational amplifiers, ADCs/DACs, microcontrollers) is highly advantageous
• Knowledge of C/C++, VHDL/Verilog, MATLAB and/or LabView would be a plus
• Strong personal, professional, teamwork, and communication skills

Candidates with qualifications exceeding the minimum requirements may be considered for higher‑level roles based on (1) their experience, (2) additional job responsibilities, and/or (3) business needs.

Work Location: 315 Jalan Ahmad Ibrahim Singapore 639940 (company transport provided)
Work Schedule: Monday to Friday, 7:30 AM to 4:30 PM

REPORTS TO: Middle & High School Principal

JOB GOAL: A High School Science teacher at ICS must have a strong understanding of the Next Generation Science Standards (NGSS) and have experience closing the achievement gap. They must develop engaging and innovative lessons that allow our students to grow academically, socially and emotionally. The teacher should be confident in incorporating technology (including emerging technologies such as GenAI) and hands-on learning experiences into the classroom with enthusiasm and also believe in collaboration with other colleagues, promoting understanding and communication in a diverse learning and cultural environment.

PERFORMANCE RESPONSIBILITIES:

• Plan, prepare, and execute appropriate lessons, utilizing appropriate resource materials and activities.
• Follow the prescribed scope and sequence of curriculum and assessment as scheduled.
• Employ a variety of instructional aides, methods, and materials that will promote best practices in order to reach the whole child as stated in the ICS mission statement.
• Assess student learning against the appropriate standards on a regular basis and provide progress reports as required.
• Identify the needs of students through diagnostic procedures and align instructional objectives to these needs.
• Effect student learning through mastery of the subject material by utilizing valid teaching techniques to achieve curriculum goals within the framework of the school’s philosophy.
• Eager to explore and learn about emerging technologies, such as Generative AI, with a commitment to integrating them effectively into the classroom to foster critical thinking and guide students in developing ethical and responsible use.
• Ensure Biblical Worldwide Integration (BWI) is mapped throughout the curriculum.
• Complete lesson/unit plans, Atlas, ESO documentation, and PLC expectations within specified time frames.
• Maintain student records as required by the school.
• Communicate with parents, students, and other professional staff regarding student progress (behavioral and academic).
• Follow school policies, procedures, rules, regulations, and guidelines and the provisions of the contract.
• Maintain proper discipline in the classroom and on the school premises utilizing teacher created discipline plans in conjunction with a school-wide discipline plan.
• Inform the administration if/when unable to fulfill any duty assigned. Prepare adequate information and materials for a substitute teacher.
• Plan and lead a student Chapel when called upon.
• Supervise extracurricular activities, organizations, and outings as assigned.
• Complete the Christian Philosophy of Education in-service program within the first three years of teaching at ICS.
• Attend and participate in devotions, teachers’ meetings, evening programs (if involving his or her students or as requested by the administration), and other meetings as assigned.
• Carry out supervisory duty as assigned (before school, break, lunch, after school).
• Maintain a classroom in a clean and educationally stimulating environment.
• Maintain regular and accurate attendance and grade reports that provide comprehensive information for each student’s learning progress.
• Keep students, parents, and the administration informed of students’ progress or deficiencies, and provide sufficient and timely notice to parents when students fail to meet learning standards.
• Submit all appropriate reports to the administration, guidance office, and business office as required by school regulations or as requested.
• Work with the administration in implementing all policies, procedures, and directives governing the operation of the school.
• Complete professional development programs as required by the administration and/or ICS Board.
• Maintain teaching credentials as required through sponsoring agencies (state/provincial education department, ACSI, etc.). Acquire and maintain teaching credentials as required by the laws of Singapore, NICS, and/or ICS.
• Demonstrate the character qualities of enthusiasm, courtesy, flexibility, integrity, kindness, self-control, perseverance, and punctuality.
• Exemplify strong interpersonal and communication skills.
• Meet everyday stress with emotional stability, objectivity, and optimism.
• Develop and maintain rapport with students, parents, and staff by treating others with friendliness, open-mindedness, dignity, and consideration.
• Respectfully submit to and demonstrate loyalty to constituted authority.
• Maintain a personal appearance that models cleanliness, modesty, good taste, and is in agreement with school policy.

QUALIFICATIONS:

• Bachelor’s Degree
• Teaching credential from a US state, Canadian province or from ACSI (exceptions will be approved by the Academic Board)
• Expertise in working with students and teaching Advanced Placement (AP) courses
• Knowledge of specific subject(s)

Position: Tuition Teacher (Math / Science / chemistry/ biology / economics)

Working days : 6 days (off on Friday)

Working hours (Mon - Thurs) : 1130am - 730pm

Sat & Sun : 930 - 630pm

Location: Rochor MRT

Starting Salary: $2400 - $3800 (depends on experience)

Key Responsibilities

• Deliver 1 to 1 engaging lessons based on the centre’s syllabus and materials.

• Teach primary / secondary / JC students (level can be adjusted based on your strength).

• Provide feedback and simple progress updates to parents when needed.

• Help prepare students for school exams and major exams.

• Maintain a positive, encouraging and disciplined environment.

• Assist with simple centre operations (e.g. admin, arranging materials) when required.

Requirements

• Minimum Diploma or Degree in any discipline

• Able to teach at least one subject confidently: Math / Science / Chemistry / Biology / Economics

• No prior teaching experience required – training will be provided.
  

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

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-%28Health-District-Evaluation%29/33186-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Health District @ Queenstown (HD@QT) is a multi-stakeholder initiative led by the National University of Singapore (NUS), the National University Healthy System (NUHS), and the Housing &

Development Board (HDB), in partnership with public, private and community stakeholders.

It provides a platform to co-develop and test innovative programmes that support active and

purposeful ageing, foster intergenerational participation, strengthen community resilience, and

advance progress toward the longevity dividend, starting in Queenstown. Home to about 101,480 residents, Queenstown is Singapore’s oldest housing estate, with 76.2% of residents living in public housing. It is also a super-aged community, with 22.2% of residents aged 65 and above. In 2021, Queenstown was designated Singapore’s first Health District, serving as a testbed for integrated solutions to support ageing well. Insights and successes from Queenstown will inform future programmes across Singapore.

Mission and Goals: At Health District @ Queenstown, we empower residents to stay healthy, engaged and connected throughout their lives, within a supportive and inclusive community. By co-creating and co-developing effective, scalable, and sustainable programs, we aim to:

1. Increase healthy longevity

2. Enable purposeful longevity

3. Promote intergenerational bonding

4. Empower ageing in place

Focus Areas

Since its launch in October 2021, Health District @ Queenstown has focused on six key areas:

1. Preventive Health and Care Delivery

2. Purposeful Longevity

3. Community & Urban Living

4. Technology & Innovation

5. Evaluation

6. Communications & Engagement

The Evaluation pillar, led by National University of Singapore and National University Health System, aims to understand how Queenstown residents are doing today, and how things may change over time. We collect insights from residents through a Baseline Study and track the progress of Health District @ Queenstown towards its goals through the development of a Health District Evaluation Framework. In consultation with our International Advisory Panel, we assess the effectiveness and scalability of initiatives for Queenstown residents across five key areas:

• Well-being
• Productivity and engagement
• Security
• Equity
• Cohesion

We take a well-rounded approach that includes engaging residents and partners, alongside data analysis, to help us understand the potential for scaling up successful initiatives. 

Job Responsibilities*

You will be responsible for the following:

• Conduct qualitative data management, including coding and analysis of focus group discussions (FGDs) and in-depth interviews, and perform in-depth thematic analysis to identify key themes and sub-themes and translate findings into research outputs
• Lead and prepare qualitative research manuscripts for publication in peer-reviewed journals
• Plan and support the co-design and implementation of community-based interventions, including engagement with specific population groups (e.g., younger Malay residents)
• Support research protocol development and study design, ensuring alignment with ethical and regulatory requirements
• Contribute to grant development and submission, including one grant resubmission (SSRTG) and one new competitive grant application (e.g., NMRC or equivalent funding schemes)
• Contribute to dissemination of research findings through reports, presentations, and academic publications

Qualifications

• Hold a Master’s degree in Social Sciences, Public Health, Psychology, Sociology, or a related discipline with training in qualitative research methods
• Experience in qualitative research, including conducting interviews/FGDs, coding, and thematic analysis
• Proficiency in qualitative data analysis approaches and/or software (e.g. NVivo) is preferred
• Demonstrated experience in academic writing, preferably including peer-reviewed manuscript preparation or submission
• Experience in research administration tasks such as ethics applications, study documentation, and/or grant proposal development is preferred
• Strong written and spoken English communication skills
• Proficiency in Microsoft Office (Word, Excel, PowerPoint)
• Experience working in healthcare or community-based research settings is an advantage
• Ability to communicate in a second local language (e.g. Mandarin, Malay, Tamil) is an advantage, as the role may require handling transcripts and conducting analysis involving participants who communicate in their mother tongue
• Open to local residents (Singapore citizen or Permanent Resident) only

The initial appointment is for 1-year. This is a full-time position based in Singapore.

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

1. 1. A two-page Curriculum Vitae (only including relevant information), previous experience and containing details of two named referees
   2. A sample of published work and their roles in the projects (if applicable)
   3. Two letters of reference

Interviews will be face to face for local candidates.  Please note that only shortlisted candidates will be contacted.

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-%28Hydrodynamics-of-Coastal-Structures%29/33192-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The selected Research Fellow (RF) will be responsible to lead and manage research activities relating to the project titled Hydrodynamics of coastal structures. 

Key duties will include conducting offshore centrifuge modelling for Coastal Structures and aiding to supervise research assistants. He/she must also help in ensuring compliance with safety and ethical standards and contributing to the preparation of progress reports and grant documentation.

Job Requirements

•    Possess at least a PHD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research-scholarship/)
•    Strong written and spoken communication skills. 
•    Open to fixed-term contract