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 currently hiring for a position of Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for food product development.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statisticalanalysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

Please apply here: https://talent.sage.hr/jobs/b0aa80ab-6951-4717-b49e-37ac3c199206

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Machine Learning Research Engineers with the following backgrounds:

- Generative Modelling (particularly LLMs and multi-Agent systems)

- Data science

- High-performance Computing

- Data-driven personalised healthcare

- Model-based personalised healthcare (e.g. pharmokinetic modelling)

- Translational and regulatory expertise in medical devices

As a Machine Learning Research Engineer, the successful candidate will contribute to the programme by developing and implementing novel machine learning algorithms with focus on security and data privacy, as well as translating recent AI advancements to the healthcare setting.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Duke-NUS Medical School (Duke-NUS) was established through a landmark collaboration between two world-class institutions; Duke University and National University of Singapore, with the objective of providing innovative education and impactful research that enhance the practice of medicine in Singapore and beyond.

The Centre of Regulatory Excellence (CoRE) was established at Duke-NUS in 2014 with the mission of forming regional platforms and networks to grow competencies, build capacity and promote thought leadership in regulatory science and health policy in the Asia Pacific, with a focus on South-East Asia.

CoRE has established a strong and highly regarded education portfolio for industry professionals and regulators. The Centre also enables thought leadership and policy innovation in areas of health products regulation, and its expanded scope now includes issues related to global health, health policies and health system strengthening. Its key focus areas are digital health, vaccines & pandemic preparedness, advanced and innovative therapeutics, innovative clinical trials, and medical devices.

The roles and responsibilities of the successful candidate would include: -

• Contribute to the development and maintenance of training components including online courses, in collaboration with external technical experts.
• Engage network of experts locally and regionally, to ensure the accuracy and practical relevance of training courses.
• Ensure close alignment and consistency of training in support of the University’s pedagogy and maximising the learner’s engagement.

Qualifications

• Degree in Biomedical, Life Sciences or equivalent with minimum 2 years of knowledge, skills and expertise in the relevant field.
• Competent and experienced in developing and constructing training materials for tertiary education.
• Prior experience in regulatory affairs and knowledge of healthcare settings of the ASEAN region will be advantageous.

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

The National University of Singapore is seeking a Research Associate/Research Fellow (Research Manager) in the Centre for Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine. The centre aims to improve population health and well-being and healthcare delivery by accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension .

Purpose of the post

The successful hire is expected to lead and coordinate BISI's research initiatives. You will play a crucial role in shaping and executing our strategic research agenda, ensuring timely delivery of projects, and maintaining strong relationships with key stakeholders.

Main Duties and Responsibilities

• Contribute to the ongoing development and organise BISI’s research programme to support its strategic direction and mission.
• Lead the tracking, timely reporting and development of research budgets and individual projects, including existing grants and future funding bids, such that the research and project work can be delivered efficiently.
• Monitor research progress, and identify and implement project management interventions to keep research activities on track.
• Plan and monitor research design, data collection, data storage, documentation and reporting in line with the highest ethical standards and Institutional Review Board (IRB) requirements.
• Oversee project teams, staff allocation, budgeting and procurement processes to support programme productivity and continuity.
• Prepare and coordinate reports on programme progress for a variety of audiences.
• Regularly communicate with BISI management team and stakeholders, internal and external (e.g., relevant government ministries).

Qualifications

The candidate should possess:

• A Master’s or PhD in Psychology/Behavioural Science/Public Health or any discipline related to health or biomedical sciences.
• Minimum of five (5) years of project/programme management experience with the ability to juggle and complete multiple projects with diverse stakeholders within an academic or healthcare setting.
• Working knowledge in research ethics and HBRA is advantageous.
• Experience supporting the full cycle of Institutional Review Board activities, from application, management, documentation and reporting for studies involving human participants.
• Ability to write, edit, and produce reports and other formal documents of communication.
• Ability to produce, manage and understand financial documents, particularly in the context of research grants.

Qualifications

• Successful management and coordination of research staff, including research assistants, students and interns.
• Excellent organisation and problem-solving skills.
• Proficient in Microsoft Office programs (Word, Excel, PowerPoint and Outlook) and project management tools.
• Excellent command of spoken and written English.
• A team player with an ability to work independently.
• Highly motivated, proactive, and goal-oriented.
• Keen interest in the area of behavioural and implementation sciences for research translation and communication will be advantageous.

Application

What Being Successful in the Role Looks Like

The successful hire works closely, collaboratively and competently as part of an interdisciplinary team within BISI. He or she is excellent in writing and presentation and has exceptional grantsmanship and project management skills. He or she can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up BISI’s open and positive work culture.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Shao Chuen, at [email protected].

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

We regret that only shortlisted candidates will be notified.

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

National University of Singapore

Yong Loo Lin School of Medicine

Alice Lee Centre for Nursing Studies (ALCNS)

Research Assistant

Appointment period: 1 year in the first instance, with a possibility of extension up to 1 year.

Expected commencement of work: ASAP

Duties and Responsibilities

The appointee will assist the project leader with the following:

1. oversee the general management and assist in the administrative and secretarial support to project (e.g. organizing regular research meetings, meeting minutes recording);
2. assist in literature review and manuscript preparation;
3. conduct literature searches, using SPSS to enter data, analyze data and maintain trial databases, as well as assist in preparing both progress and final reports of the projects;
4. undertake the day to day running of the project at the study site (such as assist in ethical application and amendment, recruitment, provision of intervention, and data collection in study sites);
5. maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. work on other tasks as assigned.

Qualifications

The applicant should:

1. have a degree in nursing/psychology/public health or related disciplines;
2. experience working with research project management or having a honors degree will be preferred;
3. experience in conducting interventional research;
4. be able to work independently and with a team, have an investigative nature and attention to detail;
5. have knowledge of computer applications (such as SPSS and MS Office, PowerPoint); and
6. have good communication skills with patients and colleagues, and fluency in English.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and interventional research.

Formal application:

Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

A Scientist position is available at the Hair & Pigmentation Development Laboratory within A*STAR Skin Research Labs, a partner in the Skin Research Institute of Singapore. This candidate will become part of our research group to elucidate mechanisms regulating hair morphogenesis, growth and regeneration. This project will take up 100% of his/her time. The research fellow will lead the project and oversee a team composed of a research officer and a student.

Job Responsibilities:

• Cell culture of primary skin cells
• 2D and 3D co-culture models of hair follicle cell
• Prospective isolation of human and mouse hair follicle cells
• Whole and spatial transcriptome analysis
• Hair induction mouse models

Job Requirements:

• Degree in Biology, Bioengineering, Life Sciences or equivalent
• Advanced cell culture and molecular techniques
• Experienced with 2D and 3D skin organotypic assays
• Experienced with mouse in-vivo models
• Experienced with RNA, single-cell and spatial transcriptomics analyses
• Excellent communication (verbal and written) and presentation skills
• Highly motivated, passionate about science, committed to laboratory work and able to work flexible hours, as required by experimental planning

The Staff Nurse / Senior Staff Nurse is responsible for providing high-quality nursing care to residents in St. Andrew's Nursing Home. This role involves assessing, planning, implementing, and evaluating care plans for residents, ensuring their physical, emotional, and social well-being. The Staff Nurse / Senior Staff Nurse will also supervise and mentor junior nursing staff, participate in quality improvement initiatives, and maintain a safe and supportive environment for both residents and staff.

Key Responsibilities:

1. Resident Care:

• Assess residents’ health conditions and develop personalized care plans.
• Administer medications and treatments as prescribed by physicians.
• Monitor and record residents' vital signs and medical information.
• Provide wound care and other nursing procedures as required.
• Assist residents with activities of daily living (ADLs), including feeding, bathing, and mobility.
• Respond to medical emergencies promptly and effectively.

2. Supervision and Mentorship:

• Supervise junior nursing staff, nurse aides and healthcare assistants
• Provide guidance and mentorship to junior staff, fostering a collaborative and supportive work environment.
• Conduct regular training sessions and ensure staff are updated with current nursing practices.

3. Communication and Coordination:

• Communicate effectively with residents, families, and healthcare professionals.
• Collaborate with multi-disciplinary teams to ensure comprehensive care for residents.
• Participate in care plan meetings and provide input on residents’ care and progress.
  

4. Quality Improvement:

• Participate in quality improvement initiatives and contribute to the development of best practices.
• Ensure compliance with regulatory requirements and standards of care.
• Conduct audits and participate in continuous education programs.

5. Documentation:

• Maintain accurate and up-to-date medical records and documentation in the Healthcare System.
• Ensure all documentation meets legal and organizational standards.
• Report any changes in residents’ conditions to the appropriate healthcare professionals promptly.
  

6. Safety and Infection Control:

• Ensure a safe and clean environment for residents and staff.
• Adhere to infection control policies and procedures.
• Promote and practice proper hand hygiene and other safety protocols.
  

Qualifications:

• Registered Nurse with the Singapore Nursing Board.
• Diploma or Degree in Nursing from a recognized institution.
• Minimum of 2-3 years of nursing experience, preferably in a geriatric or long-term care setting.
• BCLS and AED certification.
• Strong clinical skills and knowledge of geriatric care.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Leadership and supervisory experience (for Senior Staff Nurse position).

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

• Lead advanced research in the formulation and processing of functional materials for 3D printing, materials characterization and analysis.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations.

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, or a related field.
• Strong background in materials characterization and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will study, via computational modeling and analytical techniques (reduced-order models) where appropriate, the flow of complex fluids through complex domains, subject to non-linear conditions such as, phase change, and temperature and pressure dependence of the fluid properties.

Qualifications

1. Substantial experience in computational techniques, molecular dynamics, complex flow simulations, advanced numerical methods and large-scale problems.
2. Strong programming and analytical skills are required. Experience in python, Fortran, C++ and parallel computing are a plus.
3. Good publication record in peer-reviewed journals for fluid mechanics.
4. A Ph.D. degree in relevant fields related to Mechanics, Applied Mathematics, Computer Science, and Mechanical Engineering.

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 (Postdoc) will conduct experimental and numerical studies in the field of coastal dynamics, including measurements and numerical modelling of turbulent processes in breaking waves, sediment transport, etc. The tasks involve particle image velocimetry (PIV) or particle tracking velocimetry (PTV) measurements of air-water interaction in a shallow water depth, turbulence in the presence of sediment concentrations, turbulence in wave-current interaction, etc. CFD model will be developed and validated with these experiments.

Qualifications

• Possess a PhD degree with research experience.
• Have with relevant background in coastal, ocean, and hydraulic engineering.
• Prior experience and knowledge of hydraulic laboratory experiments (e.g. with PIV/PTV) and numerical modelling (e.g. with DNS) of turbulent flow structures are preferred.
• Applicants must have a PhD degree and research experience.
• Strong written and spoken communications.
• Strong quantitative and analysis skills.
• Prior experience in publishing good publication record is advantageous.
• Open to fixed term contract

Computational Systems Biology deals with mathematical formulation adopted on a computational platform to analyse experimental biological datasets. Here, the candidate with work with multidisciplinary team members to develop a computational model of a microbial system under variable experimental conditions.

The highly motivated and experienced candidate will drive a project in optimizing sustainable food production through a microbial chasis. The candidate will have an opportunity to learn and innovate on deep learning -based flux analysis.

Responsibilities:

• Set up computational pipeline, code in python, and conduct relevant bioinformatics analysis
• Communicate progress, research findings, and implications to stakeholders
• Draft documentation, manuscripts, and slides

Requirements:

• Bachelor or Master in Bioinformatics, Computer Biology, Molecular Biology, or related field.
• Experience in preprocessing and analyzing RNASeq and/or meta-transcriptomics data
• Coding or scripting experience in any language
• Be a self-starter, detailed orientated, and with a growth mindset
• Proficient in python programming and the usage of its interactive notebook
• Have experience in applying flux balance analysis
• Have interest in, or a basic understanding of microbial biology
• Have an interest in post-graduate studies

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.

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

The National University of Singapore invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Fellow (RF) will plan and execute research studies to better understand the impact of environmental heat stress on various populations. The successful candidate will be responsible to, and work with, the Principal Investigator (PI) to ensure the successful and timely completion of the project.

Main Duties and Responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Working closely with the PI to develop new research ideas, write up and present project proposals;
2. Designing research protocols and planning data collection strategies, guided by literature reviews and best practices;
3. Leading and training teams comprising Research Assistant(s), Students etc in the conduct of laboratory- and field-based research;
4. Establishing and managing databases;
5. Rigorous data analyses and interpretation of data;
6. Generating reports and high-quality publications for presentation to stakeholders and submission to top tier journals, respectively;
7. Leading a team comprising Research Assistant(s) and Students in the conduct of laboratory- and field-based research studies;
8. Working at different study sites, depending on the needs;
9. Working beyond routine work hours due to the nature of research;
10. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
11. Maintaining regular communication with other members of the research team; and
12. Assisting with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Doctorate, preferably in sport science, life sciences or related disciplines;
2. Have an interest and experience leading and conducting laboratory and field research with human participants;
3. Be proficient in statistics, data analyses and data visualisation for both quantitative and qualitative data;
4. Have excellent written and verbal communication skills;
5. Be adaptable and able to multi-task well;
6. Be able to work independently and in a team;
7. Have an investigative nature and be detail-oriented;
8. Have knowledge of computer applications, e.g. SPSS, MS Office.

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

Only shortlisted candidates will be notified. Review of applications will commence from November 2024 on a rolling basis. Applications will be considered until the post is filled.

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 to join our research team to work on related Soft Robotics.

Key Responsibilities:
To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• 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

We are seeking a Research Engineer to join our research team to work on related Soft Robotics.

Key Responsibilities:

To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• 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

The National University of Singapore invites applications for Research Assistant in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointment will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Assistant will be responsible to, and work closely with, the admin managers to ensure the successful completion of projects on time. The RA’s principal role will be to work in research administration for the programme.

Main Duties and Responsibilities

Key responsibilities include:

• Provide administrative support to the research programme and research projects, such as in end-to-end management of procurement and payments.
• Maintain list of expenditures and payments of grants.
• Manage good inventories of consumables and equipment to the research programme and research projects.
• Manage onboarding and offboarding including setup of workspace and systems access.
• Manage calibration and preventive maintenance on equipment and systems.
• Support development and maintenance of SOPs, policies to enhance operations of the programme.
• Assist with other duties of similar nature that are delegated by the PI.

Qualifications

Qualifications and requirements of the role are as follows:

1. Recognised Bachelor’s degree, with at least 1 - 2 years of relevant experience in a research/academic organisation. Degree in life sciences, sports sciences, or related disciplines will be an added advantage.
2. Adaptable and able to multitask with clear flow-through.
3. Demonstrated ability to work independently as well in a team, and thrive in a fast-paced environment
4. Detail-oriented, self-driven with high degree of professional integrity and resourceful.
5. Good written and verbal communication.
6. Proficient in MS Office Application and good IT literacy.

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

Only shortlisted candidates will be notified.

Please apply online via NUS career portal and any related queries may direct to Ms H’ng at [email protected].

- Purchase Invoice accounting, payment to supplier

- Custodian of Cash and Bank Payments and Bank Reconciliation

- Customer Accounts review and receipt of Payment and Reconciliation

- Prepare GST information for quarterly GST report / filing

- Prepare supporting schedules, including month-end and year-end closing

- Prepare the regular annalysis report for COO

- Assist Audit process and preparation of Reports etc.

Singapore Advanced Research and Education Network (SingAREN)is Singapore's National Research and Education (R&E) Network and the sole provider of local and international networks dedicated to serving the R&E community in Singapore. SingAREN facilitates high-speed transfers of large datasets, both domestically and across international boundaries, for scientific research and enables advanced network technology demonstrations through its resilient links and high-speed fibre network.

The SingAREN Open Exchange (SOE) interconnects Singapore’s R&E community to the R&E networks in other countries, including Asia, Australia, Europe and the US. For more information, please visit singaren.net.sg

We invite you to join SingAREN’s dynamic team as:

Administration Executive

You shall play an integral role in supporting the Finance and Administrative functions of SingAREN. You will be involved in Finance, Membership & Contracts, HR, and other administrative activities of SingAREN.

Key Responsibilities

Finance

· Manage Accounts Receivable and Accounts Payable (billing to customers, follow up on customers’ payments, process payments to vendors)

· Perform bank reconciliation

· Maintain accurate records for billing and payments

· Process staff’s reimbursement claims

· Support preparation of management accounts, audits and regulatory reporting

· Monitor and renew status of financial assets

Administration

· Key liaison person for the full spectrum of activities relating to Membership and Service subscriptions, including new sign-ups and contract management.

· Minutes taking, scheduling and logistical support for meetings, including company meetings and visits by external parties.

· Plan, facilitate and coordinate company events and employee welfare

· Provide administrative support for SingAREN’s procurement activities

· Support Human Resource activities as assigned

· Oversee office operations such as replenishment of office supplies and pantry items

· Support ad-hoc projects and other duties as assigned by the Reporting Officer

Requirements

· Diploma in Business Administration, with at least 3 years of relevant work experience.

· Proficient in Microsoft Office, in particular Microsoft Excel

· Competent in working with financial data

· Attention to detail and high level of accuracy

· Excellent writing skills

· Excellent analytical and problem solving skills

· Self-motivated, mature, resourceful and adaptable

· Ability to work independently and as a team player

· Possess effective communication and interpersonal skills

This is a contract position on a renewable basis.

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 highly motivated and skilled postdoctoral researcher to join our dynamic research team focused on investigating electron transport phenomena in twisted moiré superlattices, such as twisted multilayer graphene, TMDC, and 2D superconductors. The successful candidate will contribute to cutting-edge research in the field of two-dimensional materials, with a specific emphasis on understanding and manipulating electron transport properties in these unique structures.

Job Responsibilities

Experimental Design and Implementation

• Design and fabricate devices incorporating 2D materials to explore novel electronic properties

Measurements and Data Analyses

• Utilize advanced characterization techniques, such as electron transport measurements, atomic force microscopy (AFM), Raman spectroscopy, etc, to analyze the behaviour of the heterostructures
• Interpret experimental results and provide insights into the underlying physics governing electron transport in the studied materials

Publication and Presentation

• Prepare high-quality research papers for publication in peer-reviewed journals
• Present research findings at conferences and seminars to the scientific community

Collaboration and Teamwork

• Collaborate with fellow researchers, graduate students, and principal investigators to foster a multidisciplinary research environment
• Contribute to the mentorship of graduate students and junior researchers

The tentative starting date is around May-August 2024 depending on the candidate's availability. Any additional relevant questions can be addressed to Prof Alexey Berdyugin ([email protected]).

Qualifications

• PhD in condensed matter physics/nanoscience or any other relevant field
• Excellent understanding of the basics of condensed matter physics and good knowledge of the field of 2D materials
• Excellent writing and verbal communication skills
• Experience with cryogenic equipment and electron transport measurements
• Nanofabrication skills and experience with van der Waals heterostructures assembling are highly welcome

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The SIT-NVIDIA Joint AI Center represents a collaborative effort between SIT and Nvidia to support AI integration within local businesses, utilizing cutting-edge AI technologies, including foundational and Generative AI models, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Computer Vision (CV), and more. SIT is currently on the lookout for Research Fellows to contribute to the Joint Centre. This position offers the chance to partake in pioneering AI research as part of a partnership between academia and industry.

Key Responsibilities

1. Research Execution and Management
• Develop and lead AI projects that integrate modern technologies, aimed at industry-relevant applications.
• Ensure all research activities are compliant with SIT’s ethical standards and operational policies.

2. Collaboration and Networking
• Work closely with NVIDIA and SIT researchers to foster technological exchange and innovation.
• Build partnerships with industry stakeholders to align research projects with market needs and opportunities.
• Participate in networking events to enhance the visibility and impact of research outcomes.

3. Publication and Dissemination
• Produce high-quality research publications for academic conferences/journals and industry white papers.
• Present findings at international conferences, workshops, and industry forums.

4. Mentoring and Leadership
• Mentor graduate students and junior researchers, promoting skill development and professional growth.
• Lead by example in fostering a culture of academic excellence and integrity.

Job Requirements

• PhD in n Computer Science, Artificial Intelligence, Computer Vision, Natural Language Processing, or allied disciplines is required. Preference will be given to candidates with expertise in Large Language Models, as well as the fine-tuning and customization of AI models.
• Proven record of AI research and applications, as demonstrated by publications, patents, or software developments.
• Strong technical proficiency in AI modeling, computational tools, and programming languages relevant to AI research (e.g., Python, CUDA).

Key Competencies

• Experience working in collaborative environments, especially involving industry and academia.
• Demonstrated ability to manage complex projects and multidisciplinary teams.
• Strong communication skills, capable of engaging both technical and non-technical audiences.

We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. 1- 2 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

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.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 5 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication skills

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.

A*STAR Infectious Diseases Labs (A*STAR IDL) is actively seeking a Scientist to join our mission of becoming a leading centre for infectious diseases research. A*STAR IDL aims to develop a cohesive A*STAR response integrated with National PREPARE programme, and to advance translational research in infectious diseases to improve both health and economic outcomes.

The Genetics of Host Immunity Lab at A*STAR IDL focuses on studying the genetic and immunological determinants of life-threatening viral diseases. We are interested in how variants in human genes, or their immunological phenocopies, can predispose patients to severe viral diseases upon exposure to common, yet typically benign viruses. Better understanding of the cause and mechanism of disease that drive the clinical manifestations in patients can guide the development of targeted and effective therapeutic strategies against viral infections.

We are looking for a motivated and dynamic researcher to join us in this adventure. This work will require the selected candidate to work in a BSL-2 and BSL-3 facility.

Job Descriptions:

• Leading projects within the lab including designing and conducting the experiments, performing the analyses and documenting the results, as well as ensuring the timely achievement of project milestones
• Work with patient cohorts and relevant pre-clinical models (both in vitro and ex vivo) of infectious disease in BSL2, BSL2-enhanced and BSL3 facilities
• Participates in collaborations, conducting presentations to research collaborators, including industry partners
• Develop new research techniques, approaches or products that could create new intellectual properties, patents and publications
• Mentoring of students and participation in A*STAR- or Institute-related events

Job Requirements:

• PhD in Genetics, Biomedical Sciences, Microbiology, Immunology, Infectious Diseases or related fields – Candidate with genetics and infectious diseases background would be preferred
• 1-2 years of relevant experience. Candidates with no experience may apply
• Experience in infection/immunity, handling of BSL-2 viral pathogens, iPSC handling, cell culture, flow cytometry, organoid generation, cellular and molecular biology
• Strong analytical, technical, and problem-solving skills
• Demonstrated ability to complete research projects
• Capable of performing effectively in a fast-paced setting
• Highly motivated and able to work independently as well as in a group
• Team player with good interpersonal skills

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.

We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. 3 - 4 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

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.