Responsibilities

• Plan and provide nursing care to meet the patients' needs
• Maintain accurate and up-to-date documentation of patients, treatments and conditions
• Assist in supervision of junior nurses and ancillary staff

Requirements

• Registered with the Singapore Nursing Board
• Minimum 1 year’s ward experience
• Good interpersonal skills, with the ability to relate well to people of all levels
• Able to perform shift duties

PURPOSE

Provision of care for patients undergoing radiation treatment and takes up clinical responsibilities while keeping with functional duties within the centre.

DUTIES AND RESPONSIBILITIES

1. Provides good practical skills and to lead a team of patient care assistants and health attendants in area assigned to.

2. Provides good individual patient care and services with regards to specific nursing competencies such as doing dressings and cannulating patients.

3. Displays confidence and well-versed in briefing patients prior to all radiation therapy procedures such as consultation, CT simulation, radiation therapy treatment and post treatment.

4. Displays competency in providing timely nursing advice to patients and family members.

5. Assist radiation oncologists in consultations and be competent in necessary procedures.

6. Offers good teamwork and be part of a radiotherapy team in the deliverance of safe and accurate support of treatment to patients within the radiotherapy department.

7. Maintain and upkeep equipment and supplies such as emergency trolley, oxygen cylinders, surgical supplies, stationery and blankets.

8. Ensure that high alert medications are properly stocked and stored.

9. Maintain and upkeep cleanliness of the consultation rooms and work areas.

10. Be knowledgeable in disposal of all matters of waste including sharps, biohazard waste and general waste.

11. Contributes actively in the improvement and upgrading of holistic treatment care.

GENERAL

1. Liaise with department manager, radiation oncologists, therapists and other relevant staff to facilitate ongoing departmental processes such as patient scheduling and inpatient status.

2. Manages and keeps track of patients’ laboratory and imaging studies results.

3. Provides proper guidance to junior personnel assigned.

4. Discharges any other duties as assigned by supervisors and/or senior manager.

5. Participates in continuing education, improvement and other activities of the department.

6. Adheres to the Code of Practice with regards to Nursing Board at all times.

JOB REQUIREMENTS

(A) Staff Nurse: Degree/Diploma holder in Nursing or equivalent, with min. 2 years specialisation in Oncology Nursing preferred

(B) Professional License

Radiation Protection Act

The job-holder is responsible to ensure personalised, specialised and cost-effective care is provided by nursing staff to patients, in accordance to established hospital policies and procedures,standards of nursing care and practices. Responsible for the effective and efficient running of the ward/department assigned. The job-holder is responsible to ensure personalised, specialised and cost-effective care is provided by nursing staff to patients, in accordance to established hospital policies and procedures,standards of nursing care and practices. Responsible for the effective and efficient running of the ward/department assigned.

The job-holder is responsible to provide personalised, specialised and cost-effective care to the patients in accordance to established hospital policies and procedures, standards of nursing care and practices.

•At least 1 year of experience as Enrolled Nurse II. Fresh graduates can apply too

•Possess good interpersonal and communication skill

The job-holder is responsible to provide personalized, specialised and cost-effective care to the patients in accordance to established hospital policies and procedures, standards of nursing care and practices.

• Registered Nurse
• Possess good interpersonal and communication skill

If Interested, Kindly email to [email protected]

Working in a multi-disciplinary team, you will be responsible to provide quality nursing care through assessment, planning, implementation and evaluation of nursing care to meet the needs of the patients.

You will also be responsible for maintaining standards for professional nursing practice and working cooperatively with other members of the healthcare team to provide integrated care.

Requirements:
- Diploma / Bachelor's Degree in Nursing
- Must be registered with Singapore Nursing Board
- No work experience required

We provide:
- 5 days work week arrangement
- Training and development opportunities

Responsibilities:

Under the direction and guidance of the Registered Nurse, you will be responsible for providing basic nursing care, promoting a therapeutic environment and assisting the multi-disciplinary team in the delivery of care for our patients.

Requirements:

• Professional Certificate / NITEC in Nursing (please submit the transcript along with your resume)
• Must be enrolled with Singapore Nursing Board
• No working experience required
• Willing to do shift work

We provide:

• 5 days work week arrangement
• Training and development opportunities

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 Division of Family Medicine (DFM) at NUS research themes include chronic diseases, health longevity, cancer care, mental health, multimorbidity, family orientation and care coordination within the primary care setting.

We are looking to appoint a Research Fellow to support the primary care research programmes involving biostatistics. The Fellow will bring a combination of technical expertise in data science and applied statistical methods in primary care research.

The responsibilities include:

• Lead research projects that fall in DFM’s areas of interest and set up relevant research collaborations within and outside of the Division
• Provide support to other academic staff in the preparation of new grant proposals, ethics applications, manuscripts, and oral presentations
• Assist in the management of research activities including team coordination, mentoring of junior researchers, conducting research workshops and seminars
• Interact with interdisciplinary teams to build research capacity amongst our primary care partners
• Be a lead member of the research committee within DFM

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances.

Qualifications

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 1-year full-time appointment at the academic rank of Research Fellow. An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. Start date is flexible, with the position expected to commence in the first half of 2025.

Job Requirements:

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record
• Proven track record in handling and analyzing large healthcare dataset
• Track record of publishing in international peer-reviewed journals
• Strong communication skills in English, both written and spoken
• Strong leadership skills with the ability to work independently and as part of a multidisciplinary team
• Highly developed problem-solving skills and adept at managing complex research data
• Evidence of potential to generate and maintain an independent stream of funding
• Outcome-orientation with excellent organizational and project management skills, and attention to detail

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining DFM. Only shortlisted candidates will be contacted.

Description:

Simple Food Solutions Pte Ltd is a dynamic OEM food manufacturing company dedicated to providing innovative and high-quality food products. We are looking for a creative and experienced Research and Development Specialist to lead our R&D efforts, drive new product development, and optimize kitchen operations.

Key Responsibilities:

1. Recipe Development and Product Innovation

• Create and test innovative recipes tailored to market trends and customer demands.

• Ensure recipes are scalable for production efficiency while maintaining exceptional quality.

2. Quality Assurance and Control (QA/QC)

• Establish and implement robust QA/QC protocols.

• Conduct product trials to ensure consistency, compliance, and safety standards.

• Resolve quality issues during development and production.

3. Product Approval and Accountability

• Oversee product approval, ensuring all items meet company standards for taste, presentation, and compliance.

• Sign off on finalized recipes and processes, assuming full accountability for product quality.

4. Collaboration with the Sales Team

• Partner with the sales team to understand customer feedback and market needs.

• Assist in presenting products to clients, including demonstrations and tastings.

• Support customization for specific customer requests.

5. Production Alignment and Management

• Collaborate with the Production Manager to align recipes with operational capabilities.

• Train production staff on new recipes and processes.

6. Market and Trend Analysis

• Research food trends, customer preferences, and competitor products to inform recipe development.

• Innovate and propose new product concepts for market differentiation.

7. Documentation and Reporting

• Maintain thorough records of recipes, ingredient specifications, and QA/QC protocols.

• Provide updates to the Production Manager and sales team on project progress and approvals.

Qualifications:

• Minimum of 5 years of culinary experience, focusing on R&D, QA/QC, or product development.

• Expertise in scaling recipes for production.

• Knowledge of food safety regulations and quality standards.

• Strong collaboration skills with production and sales teams.

• Excellent problem-solving and organizational skills.

Education:

• Degree/Diploma in Culinary Arts, Food Science, or a related field.

• Certifications in quality management or culinary innovation are a plus.

Key Competencies:

• Accountability in managing product quality, approvals, and customer satisfaction.

• Creative and innovative thinking with a strong focus on operational alignment.

• Ability to manage multiple projects within tight deadlines.

Benefits:

• Competitive salary and performance incentives.

• Opportunities for career growth and skill development.

• Collaborative and innovative work environment.

You will embark on an enriching career journey at the Environmental Health Institute (EHI), and be a member of the Rodent Ecology Section, where your role encompasses the execution of both field and laboratory research. The areas of focus include (i) biosurveillance of the diversity, distribution, and ecology of rodents and their associated pathogens, and (ii) development of integrated mitigation strategies. You will work with stakeholders to translate scientific findings into policy and operations and contribute to the development of national environmental public health policies. As a member of the EHI family, you will have numerous opportunities for personal development, not only in science, but also in other areas such as project management, and stakeholder engagement.

Job Requirements:

• Bachelor's or Master's degree in Ecology, Zoology, or a related life sciences field, preferably with training in public health.
• Experience in designing and conducting research projects, including fieldwork
• Any peer-reviewed scientific publications will be an advantage
• Knowledge in the systematics, biology, ecology, and field surveillance of vectors (including rodents) and their associated pathogens
• Experience in or a willingness to learn animal dissection techniques
• Familiarity with molecular biology techniques and interest in working in high-containment laboratories
• Basic knowledge of biostatistics and use of statistical software
• Possessing a valid class 3 license and willingness to drive NEA's vehicle to field sites is preferred
• Ability to work with multiple stakeholders and contribute to the translation of research into public health policy and operations
• Good organisational, analytical, interpersonal, and communication (written and oral) skills
• Ability to work in a fast-paced environment and to manage multiple tasks
• Self-motivated and eager to learn

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.

To apply, please proceed to Careers@Gov at https://sggovterp.wd102.myworkdayjobs.com/PublicServiceCareers/job/Singapore/Senior-Principal-Principal-Research-Officer--Rodent-Ecology-Section-_JR-10000026029-1

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

About WIL@NUS

WIL@NUS is the joint laboratory of Wilmar International Limited and National University of Singapore. The laboratory is involved in a wide spectrum of research areas including protein production and characterization, metagenomics and host strain development. A research scientist position is currently available for the microbial host strain development and the use of microbial system for industrial applications.

Responsibilities

• Design and conduct experiments, process and analyse data
• Write research papers, patent applications, reports, reviews and summaries and communicate/present results to colleagues, external scientists and stakeholders
• Collaborate with Wilmar-related companies to apply the research findings and develop improved techniques, products or practices
• Visit factories and other Wilmar-related research and development centres to liaise future research directions
• Attend international conferences on topics of interest to Wilmar Innovation Centre
• Develop new areas of research and write proposals

Qualifications/Requirements

• Ph.D. degree in biochemistry, microbiology, molecular biology or related discipline
• Work experience in general microbiology, molecular cloning, protein expression and biochemistry, experience in genome editing is preferable
• Ability to work independently and also work effectively in a team
• Good interpersonal skills and the ability to work harmoniously with a diverse workforce

Responsibilities

• Plan and provide nursing care to meet the patients' needs
• Maintain accurate and up-to-date documentation of patients, treatments and conditions
• Assist in supervision of junior nurses and ancillary staff

Requirements

• Registered with the Singapore Nursing Board
• Minimum 3 year’s ward experience as Senior Staff Nurse
• Have experience supervising Junior Nurses
• Good interpersonal skills, with the ability to relate well to people of all levels
• Able to perform shift duties

Job Descriptions:

• Provides good practical skills and to lead a team of patient care assistants and health attendants in area assigned to.
• Provides good individual patient care and services with regards to specific nursing competencies such as doing dressings and cannulating patients.
• Displays confidence and well-versed in briefing patients prior to all radiation therapy procedures such as cannulation, CT simulation, radiation therapy treatment and post treatment.
• Displays competency in providing timely nursing advice to patients and family members.
• Assist radiation oncologists in consultations and be competent in necessary procedures.
• Offers good teamwork and be part of a radiotherapy team in the deliverance of safe and accurate support of treatment to patients within the radiotherapy department.
• Maintain and upkeep equipment and supplies such as emergency trolley, oxygen cylinders, surgical supplies, stationery and blankets.
• Coach new enrolled/ staff nurses and nursing students in learning activities.
• Ensure that high alert medications are properly stocked and stored.
• Maintain and upkeep cleanliness of the consultation rooms and work areas.
• Be knowledgeable in disposal of all matters of waste including sharps, biohazard waste and general waste.
• Contributes actively in the improvement and upgrading of holistic treatment care.

General:

• Liase with department manager, radiation oncologists, therapists and other relevant staff to facilitate ongoing departmental processes such as patient scheduling and inpatient status.
• Manages and keeps track of patients’ laboratory and imaging studies results.
• Provides proper guidance to junior personnel assigned.
• Discharges any other duties as assigned by supervisors and/ or senior manager.
• Participates in continuing education, improvement and other activities of the department.
• Adheres to the Code of Practice with regards to Nursing Board at all times.

Job Description & Requirements

• The Enrolled Nurse is responsible for the provision of a high standard of nursing care to residents. He/ She works under the supervision of the SSN/SN.
• Perform resident’s Health Assessment and Reassessment.
• Provision of/Assist in resident’s activities of Daily Living
• Participate in the provision of Care Management of the residents.
• Participate in the provision of Infection Control and Resident’s Safety of the residents.
• Ensure clear communication, teamwork and service skills to all partners/collaborated partners in the healthcare/allied healthcare team to facilitate prompt and quality standard of care for the resident to promote good quality of life or end of life care.
• Practices critical thinking and problem solving skills when recognizing problems, making clinical decision/s in accordance to professional standards and scope of practices.

Requirements:

• Professional license to practice nursing in Singapore.
• Accredited School of Nursing /ITE

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 Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on Shell research project entitled “Integrated Catalytic Plasma and Membrane Design for Low-Temperature High-Value Olefins Production from Light Hydrocarbons”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.
• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Project Overview

We are seeking a Research Scientist to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Requirements

-Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Computer Science (e.g., with a focus on Human-Computer Interaction), Management, Organizational Behavior, Philosophy, Journalism, or other related fields by the start of the appointment.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

-Strong publication record in top-tier conferences and journals.

-Familiarity with statistical data analysis tools and techniques.

-Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). 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

We are looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

PhD degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

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.

Position Summary

The Infectious Diseases Translational Research Program (IDTRP) at the Yong Loo Lin School of Medicine, National University of Singapore (NUS) invites applications for the position of tenure track Assistant Professor. We seek an exceptional and motivated individual to develop and lead a research program in infectious diseases, with a focus on translational research that bridges fundamental discoveries and clinical applications.

The ideal candidate should have strong expertise and interests in microbial interactions inside the gut, and their impact on health and disease. The successful applicant will join a vibrant and collaborative team dedicated to advancing the understanding, prevention, and treatment of infectious diseases (https://medicine.nus.edu.sg/trp/infectious-diseases ).

Key Responsibilities

• Establish an independent, externally funded research program in infectious diseases with an emphasis on translational approaches.
• Conduct cutting-edge research that contributes to IDTRP’s goals, including vaccine development, antimicrobial resistance, pathogen-host interactions, and public health interventions.
• Collaborate with interdisciplinary teams including clinicians, scientists, and other stakeholders to drive impactful research.
• Mentor and supervise undergraduate, graduate, and postdoctoral researchers.
• Teach undergraduate and graduate-level courses in areas related to microbiology or immunology, anchored under the Department of Microbiology & Immunology.
• Publish high-quality, peer-reviewed research in leading journals and present findings at national and international conferences.
• Actively participate in IDTRP’s events, workshops, and outreach activities.

Qualifications

Essential:

• PhD, MD, or equivalent degree in microbiology, immunology, epidemiology, or a related field.
• Proven track record of research excellence as evidenced by first author original high impact publications.
• Strong potential to secure competitive external funding.
• Expertise in translational research methodologies.
• Demonstrated ability to work collaboratively in interdisciplinary teams.
• Excellent communication and leadership skills.

Desirable:

• Experience in teaching and curriculum development at the graduate level.
• Experience in mentoring and supervising research trainees.
• Research experience in tropical infectious diseases or diseases of global health significance.
• Familiarity with regulatory and ethical requirements for translational research.

Application Process

Applicants should submit the following:

1. A cover letter outlining their research and teaching interests.
2. A detailed curriculum vitae (CV).
3. A statement of research accomplishments and future plans.
4. A statement of teaching philosophy.
5. At least three professional references.

Applications will be reviewed on a rolling basis until the position is filled.

About Infectious Diseases Translational Research Program

The Infectious Diseases Translational Research Program (IDTRP) at the National University of Singapore (NUS) is dedicated to advancing research that transforms fundamental discoveries into real-world solutions. With a vision of creating a world where affordable and effective prevention, diagnosis, and treatment of infectious diseases improve health outcomes across Asia, IDTRP integrates expertise in microbiology, immunology, clinical research, and public health to address global challenges. Its mission is to foster a vibrant community of scientists and clinicians committed to impactful research and training in healthcare. By promoting a holistic, patient-centric approach to infectious diseases relevant to Singapore and the region and nurturing the next generation of basic and clinician-scientists, IDTRP aims to drive transformative progress in infectious disease research and healthcare innovation.

About Department of Microbiology and Immunology

The Department of Microbiology and Immunology has distinguished itself in biomedical research and has a broad spectrum of expertise. Research in the Department encompasses very diverse questions and uses a wide variety of approaches, experimental systems, and techniques. Principal Investigators of the Department are internationally recognized for research on immunology, medical virology, bacteriology, parasitology, molecular biology and biotechnology.

About NUS Yong Loo Lin School of Medicine

The NUS Yong Loo Lin School of Medicine is Singapore’s oldest and Asia’s top medical school, celebrating its 125th year anniversary in 2025. Today, the school produces cutting edge and impactful research, together with innovative education, seeking to impact change and enhance the practice of medicine in Singapore and beyond. The School is an integral part of a comprehensive university (NUS), with deep collaborative platforms across engineering, computer science, social science, public health, and others, and a long standing joint venture in the National University Health System (NUHS). The NUHS ecosystem is Singapore’s premier Academic Health Centre, encompassing three tertiary hospitals (National University Hospital, Ng Teng Fong Hospital and Alexander Hospital), three national specialist centres (National University Heart Centre, National University Cancer Institute and National University Centre for Oral Health), a primary care system and three health schools (medical school, dental school and school of public health), lending invaluable resource for clinical and translational research, not commonly found elsewhere. Together with other healthcare partners and research institutes in Singapore, the school is an important player in Singapore’s vibrant research and biotech ecosystem.

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

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Bachelor degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• Open to fixed-term contract

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:

Introduction

The National University of Singapore Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join us as a Research Fellow in Communication, Journalism, and Related programs under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”.

Job Description

As a Research Fellow in Communication, Journalism, and Related programs with CTIC, you have demonstrated prior research experience, so you will be tasked with supporting the planning and execution of a research project under the CTIC Digital Resilience research grant. You will work closely with the Principal Investigator on a research problem related to news on social media.
RAs with a communication research background will be tasked to focus on human evaluation and news consumption (Communication research).
Ras with a computer science or related background will be tasked to focus on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics).
You will be handling and contributing to research and innovative findings in a team, leading to publications in top-tier conferences/journals as well as exciting real-world implementations. The level of responsibility and independence entrusted would be commensurate with prior experience and academic qualifications.

Job Responsibilities

As a Research Fellow with CTIC, you will have the following duties:

Research:
• Plan and lead literature review efforts
• Plan and draft submissions for conferences and journals based on findings.
• Plan and write op-eds for university blogs and popular media.
• Comm Research RAs:
o Plan and conduct experiments on human perception and consumption of online news.
o Collect data and analyze it using tools like SPSS, R, and Excel
• CS Research RAs:
o Plan and conduct experiments on the modeling of different facets of news and news quality
o Train models, finetune LLMs, collect data and analyze it
• Write op-eds for university blogs and popular media.

Coordination:
• Plan and oversee participant recruitment and logistics for survey experiments
• Plan, manage and maintain IRB documentation.

Each research paper will have the following phases to it:
• Phase 1 – Literature reviews
• Phase 2 – CS research design, or Social Science research design, including IRB applications.
• Phase 3 – Data collection and pre-processing.
• Phase 4 – Data analysis and result tabulation.
• Phase 5 – Research communication and writing of papers.

Qualifications

• Minimum Master’s Degree in Computer Science or Communications (or in any other closely-related field).
• Minimum 2 years of relevant research experience with publications, in one or more of the following areas:
o Experience required for Computer Science degree holders
- Natural language processing, machine learning and/or knowledge representation and reasoning.
- Prior first- or second-author publications and/or technical reports or theses
o Experience required for Communications degree holders
- Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.)
- Running standard statistical tests (e.g., using SPSS or SATS or R, for regression, ANOVA, etc.)
- Prior first- or second-author publications and/or technical reports or theses

• A good team player with effective communication skills and the ability to work closely with faculty, staff, students and external collaborators.
• Excellent written and verbal communication skills.

• Proactive problem-solving skills and a forward-thinking approach.

• Demonstrated ability to manage time and data efficiently.

• Proven track record of consistently meeting deadlines and following up on tasks.

Please note that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• At least 5 years of relevant experience
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Project Overview

We are seeking a Research Engineer to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.\

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Requirements

- Bachelor’s or Master’s degree.

- Excellent communication and collaboration skills.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). 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

• Catalysts Synthesis
• Single Atom Catalysis
• Laser Scanning Ablation
• Polymer Synthesis
• Biomaterials Synthesis and Degradation
• Recycling and upcycling of polymers
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, or chemical engineering.
• Ample research experience in catalyst design and synthesis (particularly single atom catalysts and metal oxide catalysts), high entropy nanomaterials
• Ample research experience in polymer synthesis (particularly ATRP, RAFT and ROMP), biomaterials synthesis, and recycling and upcycling of polymers and biomaterials
• Solid background/experience in polymeric materials and polymer recycling and upcycling.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience