Total 2,036 Science / R&D / Research job vacancies in D18 Tampines, Pasir Ris

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 the position of Research Fellow in NExT++ Research Centre, School of Computing (SoC). With a strong research interest in the Social Media Analytics, the Research Fellow will work closely with the Lead PI, Prof Chua Tat Seng in carrying out in-depth research to deal with huge volume of real-time rich multi-model data, scalable big data analytics and re-examine the role of man-machine symbiosis at all levels of framework.

About us

NUS-Tsinghua Centre for Extreme Search (NExT++) is the first of its kind research centre jointly established by the National University of Singapore (NUS) and Tsinghua University of China. When the Centre was started in 2010, it aimed to offer live social media information that is not available on web. NExT had carried out pioneer research on rich media content analytics and search, live social media analytics, and has since built the large-scale systems for live social observatory, wellness and QA. With a dramatic evolution in the social media landscape, NExT++ envisions to empower users through evolving web intelligence. With offering a leading edge big data infrastructure and system, NExT++ will be a hot bed for top quality research and the playground for commercialization and start-ups.

Qualifications

• A PhD degree in Computer Science/Computer Engineering
• Possess strong background in Mathematics, Algorithms and Social Media Analytics
• Excellent knowledge in deep learning frameworks, e.g., PyTorch, Tensorflow, Nengo
• Good written and verbal communication skills in English
• Familiarity with non-fully supervised learning
• Result motivated
• Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus

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 – which is the top ranked university in Asia – is recruiting full-time Practice Track faculty staff at the Associate Professor or Professor ranks for the Saw Swee Hock School of Public Health (SSHSPH).The Practice Track is a non-tenurable track, open to scholar-practitioners with professional skills and expertise in industry to complement the existing teaching and research expertise of the University. At first and subsequent reappointment, the contract offered may range from 1 to 5 years.

New faculty members may be eligible for subsidised university accommodation, in addition to an attractive salary and benefits package.

The successful candidate will be expected to contribute to education, faculty development, and service, and complement the research efforts of the Faculty/School where appropriate. In particular, the successful candidate will be expected to contribute significantly to the School’s Master programme and public health practice-related research collaborations with the Ministry of Health Singapore and other stakeholders in Singapore’s health system. They are also expected to contribute significantly to the outreach activities of the School. These include executive education and collaboration with relevant institutions which will enhance the reputation of the Faculty/School.

Researchers active in one or more of the following areas are particularly encouraged to apply:

• Economic evaluation of public health interventions and/or health technologies;
• Comparative effectiveness analysis including systematic review, meta-analysis, and analysis of real-world evidence;
• Economic theories to support healthcare resource allocation or priority setting.

Qualifications

• At least 6 or more years’ of practice experience at a senior level in a managerial, professional or specialist role with demonstrated leadership in the profession;
• Track record of leading and completing high-impact public health-practice related projects;
• Ability to generate and maintain an independent stream of research funding;
• Ability to teach public health courses at both undergraduate and graduate levels;
• Ability to work in multidisciplinary teams;
• Ability to work with culturally diverse populations.

Responsibilities

Responsibilities include:

• Administrative leadership and teaching in the Master programme;
• Graduate student advising;
• Contributing to policy/community development in the field of public health;
• Establishing an independent research agenda through extramural funding.

More Information

To apply, please submit a cover letter specifying your research and/or teaching interests and experience, your curriculum vitae, names and contact details of 3 references.

For more information on NUS please visit: www.nus.edu.sg. For more information about the Saw Swee Hock School of Public Health please visit www.sph.nus.edu.sg.

Please note that only shortlisted candidates will be contacted.

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

This project will study and propose feasible solution to retrofit existing coastal protection structures. Special feature of this proposed solution is that it must be able to reduce seawater seepage, using innovative way of impervious material. The solution must also be modular in nature, such that it can be stack onto the existing seawall or the previously installed layer.

This research engineer will be responsible for the conduct of literature review, planning, designing, and carrying out of laboratory modelling on the proposed solutions – in both 1g scaled model and in geotechnical centrifuge model. He/she will perform the data collection and data analysis.

Job Requirements

• Possess a bachelor’s degree in engineering (Civil) or related field.
• Has strong basic geotechnical knowledge.
• Be able to write technical reports and prepare technical presentation.
• Be an independent researcher.
• Highly motivated in doing research work.
• Innovative in thinking.
• Able to work in a team.
• Strong communication ability - both oral and written.
• 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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

A Research fellow position is available in Dr. Anand Andiappan Laboratory at the Singapore Immunology Network (SIgN). The successful candidate will support the research work that focuses on studying inflammaeing in the context of skin aging in Asian populations.

The candidate will work on primary cells from cohorts and cell culture systems towards understanding functional immune responses in skin immune interactions and recapitulating them in in-vitro and ex-vivo systems. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by microscopy, and associated data analysis with statistical tested.

Duties will include managing safety in the laboratory, creating Standard Operating Procedures (SOPs) and laboratory risk assessments, maintaining laboratory inventories, perform other laboratory administrative duties and operations such as ordering and tracking laboratory budget.

Job Requirements:

• PhD Degree in Skin Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in dermatology, immunology, molecular allergy and clinical immunology
• Experience with human and mouse blood/tissue sample handling and in vitro cell culture and processing (e.g. isolation of specific immune cell populations, differentiation and activation assay)
• Experience with flow cytometry analysis for different immune cell populations and functional immune assays
• Highly motivated to work in research laboratory and able to perform tasks independently
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills

Please submit your application with a cover letter summarizing your research experience.

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.

Job Description:

• Engage with companies and agencies to understand their businesses, product/service offerings & technology needs.
• Foster R&D collaboration between companies/agencies with researchers/research units in A*STAR SRTT, to drive impactful outcomes.
• Proliferate IP portfolio of A*STAR SRTT through technology productization, licensing or formation of new spin off.
• Work closely with industries and agencies to market the portfolio and research capabilities through collaboration and facilitate the technology transfer as needed.
• Work closely with scientists and principal investigators in determining the scope of projects, costing estimation, agreement drafting, and negotiation with industries and agencies.
• Provide management reporting support, market intelligence and facts gathering to facilitate decision-making and occasionally convinces others where strong interests exists to adopt new concepts and approaches.
• Analyse problems and ensure compliance to A*STAR practices and policies.
• Drive or support the development and execution of industry strategy for key R&D programmes under SRTT.
• Takes ownership and responsibility for team's action and decision.

Requirements:

• Master in Physical Sciences or equivalent.
• 5 years of industry/agency experience, with 3-5 years in a business development and/or technical strategic planning and execution role.
• Candidates with experience and knowledge in advanced scientific concepts and cutting-edge technologies, preferably in advanced computing, high performance computing, quantum , semicon/electronics, will have an advantage.
• Experience in project management in an R&D, Technology and/or Operations environment, interfacing with private and public sector agencies would be a plus.
• Excellent oral and written communication skills.
• Pro-active, quality conscious, and results-oriented.

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.

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 seeking a research engineer that has recently completed their master in a STEM field to work on interpretable machine learning for scientific applications.

Qualifications

• Master of Science in STEM or related field
• Proficiency in machine learning, dynamical system theory, interpretability
• Good coding skills, especially in Python

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.

Associate Professor (Health Promotion/Implementation Science), Saw Swee Hock School of Public Health

Job Description

The National University of Singapore – which is the top-ranked university in Asia – is recruiting full-time Associate Professors for the Saw Swee Hock School of Public Health (SSHSPH) on the tenure/research/practice track appointments. In addition to an attractive salary and benefits package, new faculty members may be eligible for a start-up grant to initiate their independent stream of research and subsidised university accommodation.

The positions are specifically for faculty to work in the Health Systems & Behavioural Sciences Domain of SSHPH. Researchers active in one or more of the following areas of Health Promotion/Implementation Science are particularly encouraged to apply:

Health Promotion
• Research on:
o Behavioural and communication theories/models,
o Social, environmental, and behavioural change interventions, and
o Evidence-based strategies and their impact on socio-behavioural, environmental and health outcomes for various populations.
• Analyses of:
o Population health needs using mixed methods and appropriate statistical procedures, e.g., structural equation modelling, and
o Healthcare systems and policies to design health promotion interventions for the general public as well as at-risk populations.
• Planning, implementation, evaluation, and communication of sustainable and effective programmes targeted at health promotion and/or disease prevention for the public.
• Development and advocacy of practices, policies, and laws that will provide supportive and enabling environments for the promotion and improvement of public health.
• Leveraging on structures and mobilisation of organisational, governmental and community resources to create health-promoting environments.

Implementation Science
• Research on attenuating implementation bottlenecks and roadblocks.
• Development and optimisation of implementation strategies and methods to generate sustainable improvements in healthcare and delivery systems.
• Promoting the systemic uptake of research findings to advance positive outcomes in clinical, organisational or policy contexts.

Job Requirements

Requirements:
a) Recognised Doctoral degree in a relevant discipline with strong post-doctoral research records,
b) Track record of publishing in high-impact international peer-reviewed journals,
c) Experienced in leading independent research studies or a component within larger research programmes,
d) Ability to generate and maintain an independent stream of research funding,
e) Ability to teach public health courses at both undergraduate and graduate levels,
f) Ability to work in multidisciplinary teams, and
g) Ability to work with culturally diverse populations.

Responsibilities include:
• Establishing an independent research agenda through extramural funding,
• Developing collaborative, multidisciplinary research,
• Curricula design and teaching,
• Supervision of postgraduate students advising, and
• Contributing to policy/community development in the field of public health.

Application Procedure

For more information on NUS, please visit: www.nus.edu.sg. For more information about the Saw Swee Hock School of Public Health, please visit www.sph.nus.edu.sg.

Please note that only shortlisted candidates will be contacted.

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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

The NUS High School of Mathematics and Science is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position:

EDUCATION AND CAREER GUIDANCE (ECG) COUNSELLOR

You will help students discover their strengths, interests and aspirations, and develop future-readiness.

You will guide them in making informed plans and decisions for their education and career through individual and group counselling, coaching sessions and workshops.

You will also work closely with teachers, parents and other partners from relevant agencies and various industries to monitor developments and design appropriate guidance programme, e.g. ECG curriculum, and strengthen capacity of the school team.

You will also coach, advise and provide guidance on University and Scholarship plans and applications.

Requirements:

• At least a Bachelor’s degree from a reputable university.
• At least 5 years of working experience.
• Good industry knowledge and/ or experience in education and career counselling would be an advantage.
• Passion for working with young people, especially in guiding them on their education and career pathways.
• An open-minded mindset, be flexible and exhibit cultural sensitivity in managing different profiles of stakeholders.
• A positive and encouraging nature.
• Excellent interpersonal, communication and networking skills.
• Strong collaborative and time management skills.
• Ability to develop systems and structure

Remuneration will be commensurate with qualifications and experience. Interested applicants, please write in or email your detailed resume and a recent passport size photo latest by 30 October 2024 to:

Human Resource

NUS High School of Mathematics and Science

20 Clementi Ave 1

Singapore 129957

Email: [email protected]

We regret that only shortlisted candidates will be notified.

Job Descriptions:

• Providing massage services listed in brochure.

• Attending and participating in meetings and training sessions.

• Ensuring clean, safe and well-organized spa facility.

• Setting up spa and work stations, and ensuring cleanliness and tidiness throughout shift.

• Assisting with keeping linens clean and tidy, and replacing them between sessions.

• Sterilizing equipment.

• Accompanying guests to and from treatment rooms.

• Consulting customers to identify appropriate massage services.

• Maintaining records and filing documentation.

• Complying with all applicable standards, rules and regulations.

Working Location:

As Mentioned in the application

Working Hour:

• 8 - 12 hours per day (To be discussed during interview)

• 6 days work week (Including Weekends)

Salary:

• Commission based ($3000- $6000 or more)

Requirements:

• Minimally a secondary education certificate (SPM or N’ levels)

• Singapore Massage Certificate (advantage)

• Experience in providing massage services (advantage)

• Training will be provided for those who do not have experience

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 Translational Core of The N.1 Institute for Health, NUS conducts translational research to bring diagnostic and therapeutic technologies from lab to clinic and commercialization. Our research is multi-disciplinary and will involve interaction with diverse stakeholders including scientists, engineers, clinicians, regulatory and ethics boards, etc. We are interested in recruiting a talented, and highly motivated Research Assistant to perform a variety of functions related to research under the supervision of the Principal Investigator or his/her designate

Your main duties would include but are not limited to the following:

1. Carry out clinical study involving medtech assessment in healthy volunteers and cancer patients;
2. Handle clinical trial administration duties, if necessary;
3. Handle general lab administrative/documentation duties;
4. Prepare materials for ethic board review;
5. Supervise undergraduate students working on the research project.

Qualifications

The successful candidate will have the following credentials:

• Bachelors of Engineering (preferably in Biomedical Engineering)
• Proficient written & spoken English;
• An independent and motivated individual who can work with others in an interdisciplinary team;
• Experience in clinical trial administration is preferred but not necessary; Outstanding communication in English and interpersonal skills;
• Routine laboratory management procedures;
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

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 Research Fellow (RF) will work closely with the Programme Chair and Core team members to engage in thorough research, generate impactful papers for publication in top-tier academic journals; and successfully obtain competitive funding for the research programme.

Purpose of the post

The Research Fellow (RF) will be responsible to conduct research on cell culture, mouse experiments and various functional assays, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the experiments on time. The RF’s principal role will be to work in general practices such as molecular cell experiments, in vivo experiments, data collection, data analysis, manuscript writing and presentations.

The National University of Singapore invites applications for a Research Fellow for “Engineered extracellular vesicles for anti-cancer therapy (EVANTICA)” in the Department of Pharmacology, Yong Loo Lin School of Medicine. Teaching and research activities in our department range from clinical pharmacology, systems pharmacology, to basic molecular and cellular pharmacology. More information on the department is available at http://medicine.nus.edu.sg/medphc/index.html.

Purpose of the post

The Research Fellow (RF) will be responsible to conduct research on cell culture, mouse experiments and various functional assays, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the experiments on time. The RF’s principal role will be to work in general practices such as molecular cell experiments, in vivo experiments, data collection, data analysis, manuscript writing and presentations.

Main Duties and Responsibilities

The RF will perform extracellular vesicles characterization, assays in cell culture. The RA will be able to:

1. Oversee the general management of the project;
2. Mentor 3-4 people including research assistants, graduate and undergraduate students
3. Design and perform the experiments;
4. Analyze the data and write publication report;
5. Present the data and discuss with other team members;
6. Assist with any other duties of a similar nature that are delegated by the PI.
7. Apply for additional grants.
8. To design and perform experiments on extracellular vesicles and cancer therapy.

Qualifications

The applicant should:

• Have a Ph.D. degree in Molecular Cell Biology or related disciplines; with fluent English
• At least 4 years of research experience in related fields including nanomedicine, cancer biology, extracellular vesicles, immunology
• A good publication record with recent first-author research papers in good journals
• be able to work independently and in a team, have an investigative nature, attention to detail; and
• have a strong experience in wet-lab experiments especially with human cell culture and in vivo experiments in mouse models

More Information

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations) and full contacts of 2 referees.

We regret that only shortlisted candidates will be notified.

Job Descriptions:

• Providing massage services listed in brochure.

• Attending and participating in meetings and training sessions.

• Ensuring clean, safe and well-organized spa facility.

• Setting up spa and work stations, and ensuring cleanliness and tidiness throughout shift.

• Assisting with keeping linens clean and tidy, and replacing them between sessions.

• Sterilizing equipment.

• Accompanying guests to and from treatment rooms.

• Consulting customers to identify appropriate massage services.

• Maintaining records and filing documentation.

• Complying with all applicable standards, rules and regulations.

Working Location:

As Mentioned in the application

Working Hour:

• 8 - 12 hours per day (To be discussed during interview)

• 6 days work week (Including Weekends)

Salary:

• Commission based ($3000- $6000 or more)

Requirements:

• Minimally a secondary education certificate (SPM or N’ levels)

• Singapore Massage Certificate (advantage)

• Experience in providing massage services (advantage)

• Training will be provided for those who do not have experience

The Yong Siew Toh Conservatory of Music, National University of Singapore, offers a unique and adventurous 21st century Asian environment in which we train and educate performers, composers and recording engineers to take advantage of future professional and artistic opportunities both in Singapore and in the world. The Conservatory is distinctively international in terms of its faculty, student population and artistic outlook. Our mission is to be a focal point for musical activity, artistic development and research, both for Singapore and the Asia-Pacific region.

The Conservatory is seeking a full-time Postdoctoral Research Fellow in Musical Brain Computer Interface technology.

The Research Fellow (RF) will design studies and conduct research testing the efficacy of a newly-developed music-based Brain Computer Interface (BCI) for emotion regulation in listeners. She/he will work in a multi-disciplinary team to 1) conduct R&D of our automatic music generation systems for affective music generation, and 2) help test the efficacy of a music generation system paired with a BCI for emotion regulation in healthy as well as neurological and/or mental health patients. The RF will design and conduct experimental research and user studies, help coordinate research activities, and perform data analyses. The RF will need to be capable of working both independently and in a team, of developing innovative solutions, and of publishing research findings in high-impact conferences and journals. This position is part of an exciting large-scale (multi-research team) project that aims to create a holistic BCI solution for the restoration and enhancement of brain functions.

Responsibilities

• Design and develop user studies and experiment interfaces to test the efficacy of an affective music generation system paired with a BCI.
• Explore solutions for music and BCI-driven therapy for mental health (depression, anxiety).
• Conduct pilot trials of an EEG-based musical BCI
• Conduct data analysis, perform statistics, and interpret the users’ behavioral and neural signals.
• Prepare manuscripts and publish in high-impact journals and conferences.
• Assist in supervising research staff and students.
• Participate in IRB applications and report writing.
• If candidate’s background allows: Co-develop novel algorithms for our BCI system for emotion regulation, modify code for automatic music generation algorithms for greater efficacy.

Qualifications

• Ph.D. in Cognitive Science, Computer Science & Engineering, Music Information Retrieval (MIR), Psychology, or related disciplines
• Significant experience with experimental design, quantitative analysis, and statistics
• Strong publication track record
• Programming experience
• Ability to work independently and in teams
• Some knowledge of music / music theory is strongly desired
• Computational neuroscience and neuroimaging (e.g., EEG) experience a strong plus
• Experience with algorithmic music or automatic music generation is advantageous

Duration and other details:

• Position available immediately
• 1 year contract, with possible extension up to an additional 6 months
• Competitive salary and benefits
• The candidate must be based in, or be able to relocate to, Singapore (working from abroad is not possible due to rules of the funding body)

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 the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights 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 Assistant will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research assistant will work on SLIONS project is a multidisciplinary research project in collaboration with YLL School of Medicine, NUS. The research assistant will work on an AI-enabled platform to promote personalized Chinese language learning for adult language learners.

Qualifications

• A BSc or MSc degree in Computer Science or related field
• Experience in research and Good publication record
• Strong systems development skills
• Prior experience with automatic speech assessment (ASA) and automatic speech recognition (ASR)

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct MindChamps unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements:

• Diploma or higher in any discipline with a minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills

LEVELS DEPENDS ON EXPERIENCES: Teacher / Senior Teacher / Lead Teacher

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

• Coordination of data merging between Singapore Longitudinal Aging Studies and Yishun Cohorts and other cohorts
• Continue to conduct research on data from the Singapore Longitudinal Aging Studies
• Attend regular meeting with other cohort representatives

Qualifications

• PhD degree holder

• Has previous experience on working with data from Singapore Longitudinal Aging Studies

• Has experience in handling epidemiological and biological data.

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.

Job Summary:

We are seeking a highly motivated and skilled Research Scientist with a strong background in lipid science to join our dynamic R&D team. The successful candidate will lead innovative research projects on specialty fats, focusing on understanding the factors that influence product stability, texture, and functionality. You will contribute to the design, optimization, and enhancement of fat-based formulations for food applications.

Key Responsibilities:

1. Research & product development

• Conduct detailed investigations into the factors affecting emulsion stability and product texture in various fat-based food systems.
• Lead studies to identify and characterize the physical and chemical interactions between fat and other components (e.g., proteins, emulsifiers, stabilizers) to enhance product performance.
• Explore and implement cutting-edge technologies and novel ingredients to improve product stability, shelf life, and sensory attributes.
• Design, formulate, and prototype new fat-based food products, ensuring that they meet functional, textural, and stability requirements.
• Collaborate with cross-functional teams to ensure that research outcomes align with product development goals and can be scaled up for commercialization.
• Stay abreast of the latest scientific and technological advancements in lipid science, emulsion technology, and specialty fats.

2. Documentation & Reporting:

• Prepare comprehensive technical reports and research publications based on your findings.
• Present key research outcomes to internal teams, senior management, and external stakeholders, highlighting innovations and practical applications.

3. Collaboration & Mentorship:

• Work closely with R&D, production, and quality teams to translate research findings into commercially viable products.
• Provide mentorship and guidance to junior research assistants and technicians involved in the project, assisting with experimental design, data interpretation, and troubleshooting.

4. Additional Duties:

• Undertake other responsibilities as required to support the broader R&D objectives of the company.

Required Qualifications:

• PhD in Colloid Chemistry, Lipid Chemistry, Materials Science, Food Science, or a closely related field.
• In-depth knowledge of fats, proteins and emulsions, with proven research experience in food systems.
• Expertise in analytical methods for characterizing fats and emulsions (e.g., DSC, NMR, microscopy, rheology) and hands-on experience in fat crystallization and emulsion stability.
• Strong problem-solving skills, creativity, and a drive for innovation in product development.
• Excellent communication skills for reporting complex scientific concepts to both technical and non-technical stakeholders.
• Strong project management skills, with the ability to lead research initiatives, manage timelines, and collaborate effectively across teams.

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 Summary

Professor Allen Yeoh’s research focuses on childhood leukaemia, with a particular emphasis on translational clinical research in acute lymphoblastic leukaemia (ALL). We are seeking a dedicated and highly motivated Research Assistant/ Associate to support ongoing wet lab research activities related to basic T-cell acute lymphoblastic leukemia (T-ALL) biology as well as translational work related to immunotherapy in the lab located at Cancer Science Institute (CSI).

The candidate will work on projects headed by Dr Tan Shi Hao, Senior Research Scientist in the lab. This is an excellent opportunity to contribute to groundbreaking research related to immunotherapy with potential for career development and growth in a dynamic research environment.

Duties and Responsibilities

Research:

• Perform daily basic molecular biology experiments related to DNA, RNA, protein and cell culture work.
• Derive and work on primary Patient Derived Xenografts (PDXs) mice models including tail vein injection, tumour monitoring via flow cytometry and tumour harvesting
• Support the chimeric antigen receptor-T (CAR-T) cell research and assist in developing innovative immunotherapy approaches under Prof Yeoh's guidance.

Data Management & Analysis:

• Maintain meticulous records of research data and analyse results using statistical software.
• Assist in the preparation of research publications, reports, and presentations.

General Support:

• Collaborate with interdisciplinary research teams, including clinicians, scientists, and external partners.
• Provide administrative support in grant applications, ethics board submissions, and meeting coordination.

Requirements

• At least Bachelor’s degree and/or Master’s degree in Life Sciences, Biomedical Science, Molecular Biology, or a related discipline
• Able to work independently and in a team as well, self-motivated with initiative and keen to learn new techniques
• Previous experience in laboratory work, particularly in oncology or haematology, is preferred.
• Proficiency in working with mice models and techniques including tail vein injection, blood processing
• Proficiency in molecular biology techniques (e.g., Western Blot, qPCR, cell culture).
• Strong organizational and communication skills, with the ability to work independently and in a team

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 have an opening for a Research Fellow (Transportation) in areas related to traffic operations, traffic control, simulation, and connected and automated vehicles (CAVs). Specifically, we expect the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to (1) traffic flow theory, (2) traffic control in urban and highway contexts, (3) vehicle dynamics and control, (4) optimization of transportation infrastructure, and (5) data privacy and security. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Qualifications

• Possess a PhD in Civil Engineering, Mechanical Engineering, Electrical Engineering, or other closely related fields.
• Research experience in Intelligent Transportation Systems with excellent publication record.
• Good programming and analytical skills.
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable.
• Good technical proposal writing and presentation skills.
• Able to plan and organize well and adhere to the deadline.
• Able to perform research in a multidisciplinary team,
• 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.

Visiting Research Fellow in International Relations (South Asia)

The Institute of South Asian Studies (ISAS) at the National University of Singapore invites applications for a Visiting Research Fellow in International Relations to commence in November 2024 or as soon as possible thereafter.

The successful candidate will be part of the Institute’s International Relations, Multipolarity and Multilateralism research cluster. The position is open to candidates specialising in international relations, foreign policies and national security impulses of the South Asian states.

Established in 2004, ISAS is dedicated to research on contemporary South Asia.

Criteria

The candidate shall possess the following criteria:

• A PhD in South Asia’s international relations, South Asian studies or related research fields.
• Strong theoretical and empirical grounding in the areas of South Asian foreign policy, national security, multipolarity, multilateralism and geopolitics.
• Experience in mobilising research project funding and in dealing with international research institutes on South Asia.

Application

Interested candidates are invited to send their cover letter, detailed resume and a sample written article on the focus area in a PDF attachment.

Remuneration will commensurate with qualifications and experience.

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, and a focus is on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

• Perform data management including data cleaning, quality and consistency checks, and preparation of codebooks.
• Work with other researchers on interpreting and analysing quantitative data.
• Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
• Conduct follow-up assessments of study participants over the phone.
• Support other project management tasks.
• Assist with other initiatives at CARE where required.

Job Requirements

• Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology, Social Work, or other related disciplines.
• Prior work experience in quantitative data analysis will be advantageous.
• Possess strong communication and interpersonal skills.
• Able to take initiatives to learn on the job and manage assigned tasks.
• Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.

Candidates with relevant work experience may be considered for a Research Assistant (Senior) position.

Please attach a cover letter and a CV, with names and contact information of 3 referees. Applications will be reviewed on a rolling basis. We regret that only shortlisted applicants 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 successful candidate will work with Assoc. Prof. Li Cheng on scalable Bayesian Gaussian process modeling for spatiotemporal data under a project on “Enhancing Scalability of Bayesian Gaussian Process Models”.

The main responsibilities of the position include:
- literature review on the statistical methodology of modeling non-Gaussian data;
- developing new Bayesian Gaussian process based models and scalable computational algorithms for non-Gaussian spatial and spatiotemporal data;
- coding and conducting numerical experiments related to the main topic.

Qualifications

• Qualifications / Discipline:
Recognised Bachelor / Master degree in Mathematics, Statistics, Data Science and related fields.

• Skills:
- Familiar with the methodology and computation of Gaussian processes;
- Strong programming skills in R, Rcpp, or Julia.

• Experience:
Nil

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 candidate will work on spent battery materials recycling project. Together with other team members, the candidate will focus on the development of an integrated recycling technology of all-solid-state battery black mass.

Qualifications

• Ph.D. in Chemistry, Physics, Materials Science, or a related field.
• Strong motivation and extensive experience with all-solid-state lithium-ion batteries.
• Ability to collaborate effectively within a multidisciplinary research team.
• Proficient in writing reports and presenting research progress.
• Excellent verbal and written communication skills.