· Cashiering duties;

· Guide residents to make S&CC payment on e-platforms;

· Attend to residents on feedback matters as part of the front line customer service team;

· Assist in cases creation in the system;

· Follow up with residents on the progress of the cases that have been attended by the estate team or other department (case by case) prior closing it in the system;

· Liaise with other team members from other departments pertaining to the feedback or queries cases;

· Assist with Facilities Booking matters;

· House visits;

· Any other duties assigned by the Supervisor.

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].

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 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

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

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.

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.

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

Company Profile

As Singapore’s leading provider of comprehensive life insurance for over 90 years (Prudential), they have attained world accredited accolades in providing security to consumers’ lives. They have delivered a suite of product offerings and expert advisory through their extensive network of financial consultants and bank partners.

This role is a back-end support to financial consultants.

Work location: Somerset

Working hours: Mon - Fri @ 9.00 - 6.00pm (Hybrid available)

Key Responsibilities:

• Consistent evaluation of current portfolio to suggest relevant upgrades.
• Developing informative recommendations for clients to strategise their current portfolio.
• Learning the financial industry by understanding current economic market trends.
• Providing detailed reviews with new clients to enhance their portfolio coverage.
• Any other ad-hoc duties

Requirements:

• Min Local diploma
• Must be comfortable in sales related job

Interested candidates may whatsapp your resume to 87724117 (Stella).

Only shortlisted applicants will be contacted.

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

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.

• Public Relations Officer (PRO), with a minimum 3 years' relevant experience and designate a team of staff who are familiar with multimedia presentation, from the commencement of the Works up to the Substantial Completion of the Works.
• Handling feedback and complaints from client and public in a professional manner.
• Provide full public relations services to the project.
• Work closely with Project Manager and team.
• Provide administrative assistance to the team.
• Other ad hoc duties assigned by project management from time to time.
• The PRO shall liaise with and assist the Employer's Corporate Communications Group (CCG) , as well as Manager for Community Partnership Division (MCPN) for all public relations matters in connection with the Contract.
• The PRO is to place top priority in PR matters and public feedback.
• The PRO shall be 24 hours contactable by the Employer.

Requirements:

• Possess public relations experience in construction industry is an advantage.
• Good communication skills.
• Pleasant personality, good team player, and proactive.
• Willing to work at project site office.
• Attached to a team and required to support projects managed by your team.
• Any degree, however civil and construction are preferred.

The Role

The Boarding Officer (Operations) is a key operational role responsible for overseeing the smooth execution of cargo handling processes, ensuring compliance with client requirements, and maintaining effective communication with ship personnel and relevant stakeholders. This role demands organizational skills, adaptability to work irregular hours, and the ability to manage both on-site operations and paperwork efficiently.

What you’ll be doing:

• Establish and maintain strong working relationships with ship captains, chief engineers, surveyors, and personnel from loading terminals.
• Attend on-site operations to monitor cargo loading and unloading, ensuring all activities align with the client's specifications and standards.
• Oversee vessel arrivals and departures, ensuring timely communication and coordination.
• Handle cargo documentation, including invoices and inwards shipment paperwork.
• Liaise with local agencies to address daily operational matters when necessary.
• Ensure compliance with regulatory requirements and client specifications.
• Monitor resource utilization and identify opportunities for optimization to enhance operational efficiency.
• Propose workflow improvements and implement solutions to improve operational processes.
• Resolve any problems or challenges that arise during the course of work, ensuring minimal disruption to operations.

Job Requirement:

• Strong organizational and multitasking skills to manage both on-site operations and documentation.
• Effective communication and interpersonal skills to liaise with diverse stakeholders, including ship personnel, surveyors, and agencies.
• Problem-solving mindset with the ability to propose and implement practical solutions.

Responsibilities:

• To set up new machines or ITS contracts
• To generate and send out contract renewal letters
• To follow up and monitor customer’s reply for contract renewal
• To renew service contract in system
• To attend to customer’s request regarding transfer, termination, extension of contracts (FSA)
• To generate monthly contract renewal report
• To track contract renewal %
• To compile reasons on why customers do not renew the contract
• To generate EOL report and group by customer segmentation
• To assist in customer loyalty/retention program
• To perform updates on service contract in system
• To perform other duties as requested by Management

Requirements:

• Minimum GCE O Level.
• Preferably 1 year relevant working experience.
• Must be proficient in office applications.

A Progamme Manager (PM) (Objective and Key Results Officer) position is available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Key Skills and Responsibilities:

• Project Planning and Execution: Follow and dynamically adjust the project plan of AIDP programme, including milestones and deadlines. Coordinate with cross-functional teams to ensure alignment and progress.
• Team Management and Leadership: Lead, mentor, and manage project teams, fostering a collaborative and productive work environment. Facilitate effective communication and teamwork among team members.
• Stakeholder Management: Engage with internal and external stakeholders, including funding bodies, research institutions, and clinical partners. Provide regular updates and reports on project status, risks, and outcomes.
• Objective and Key Results (OKRs) Management: Define and track OKRs to ensure the programme meets its strategic goals. Analyze performance data and make adjustments to keep the project on track.
• Risk Management: Identify potential risks and develop mitigation strategies. Monitor and address issues that could impact project success.
• Resource Management: Allocate and adjust resources effectively, ensuring that project needs are met within budget constraints. Manage procurement and logistics for project-related resources.
• Quality Assurance: Ensure that project deliverables meet the highest standards of quality and reliability. Implement quality control processes and continuous improvement practices.
• Collaboration and commercialization: Build strong collaboration with the local and oversea hospitals. Establish the agreements with the industrial partners for licensing and commercialization.
• Domain Knowledge: Basic knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Strong analytical and logical thinking skills to address and solve complex scientific and commercialization problems.

Requirements:

• Ph.D/Master/Bachelor degree in Biomedical Engineering, Computer Science, or a related field with industrial and project management skill and experience. Additional qualifications in Project Management (e.g., PMP) are advantageous.
• Excellent writing skills, coupled with outstanding communication abilities.
• A strong team player with proven experience in managing large-scale research or development projects, preferably in the healthcare or AI fields.
• Strong background in data science, AI, machine learning, or digital pathology.
• Excellent leadership, organizational, and communication skills.
• Ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools and software.
• Strong analytical and problem-solving skills.
• Passionate about AI and medical innovation.
• Highly motivated and results-oriented.
• Able to work under pressure and adapt to changing circumstances.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.

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 Progamme Manager (PM) (Objective and Key Results Officer) position is available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Key Skills and Responsibilities:

• Project Planning and Execution: Follow and dynamically adjust the project plan of AIDP programme, including milestones and deadlines. Coordinate with cross-functional teams to ensure alignment and progress.
• Team Management and Leadership: Lead, mentor, and manage project teams, fostering a collaborative and productive work environment. Facilitate effective communication and teamwork among team members.
• Stakeholder Management: Engage with internal and external stakeholders, including funding bodies, research institutions, and clinical partners. Provide regular updates and reports on project status, risks, and outcomes.
• Objective and Key Results (OKRs) Management: Define and track OKRs to ensure the programme meets its strategic goals. Analyze performance data and make adjustments to keep the project on track.
• Risk Management: Identify potential risks and develop mitigation strategies. Monitor and address issues that could impact project success.
• Resource Management: Allocate and adjust resources effectively, ensuring that project needs are met within budget constraints. Manage procurement and logistics for project-related resources.
• Quality Assurance: Ensure that project deliverables meet the highest standards of quality and reliability. Implement quality control processes and continuous improvement practices.
• Collaboration and commercialization: Build strong collaboration with the local and oversea hospitals. Establish the agreements with the industrial partners for licensing and commercialization.
• Domain Knowledge: Basic knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Strong analytical and logical thinking skills to address and solve complex scientific and commercialization problems.

Requirements:

• Master/Bachelor degree in Biomedical Engineering, Computer Science, or a related field with industrial and project management skill and experience. Additional qualifications in Project Management (e.g., PMP) are advantageous.
• Excellent writing skills, coupled with outstanding communication abilities.
• A strong team player with proven experience in managing large-scale research or development projects, preferably in the healthcare or AI fields.
• Strong background in data science, AI, machine learning, or digital pathology.
• Excellent leadership, organizational, and communication skills.
• Ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools and software.
• Strong analytical and problem-solving skills.
• Passionate about AI and medical innovation.
• Highly motivated and results-oriented.
• Able to work under pressure and adapt to changing circumstances.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.

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

The successful candidate will work with Dr Li Dan on Prevention of microbial contamination in cell culture meat system under a project on Bezos Center: alternative protein.

The main responsibilities of the position include:

• Screen and develop mitigation strategies of cell culture systems with AI-assisted tools;
• Build scaled-up cell culture meat systems and test the proposed antimicrobial strategies;
• Draft research reports and manuscripts;
• Attend conferences and events to publicize the research outcomes and initiatives;
• Guide research students and advise their thesis.

Qualifications

• Qualifications / Discipline: PhD in food science and food microbiology.

• Skills: Microbial cultivation and test, multi-omics analysis, food chemistry

• Experience: PhD training with the skills required in this project.

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 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 traffic control in urban and highway contexts, vehicle dynamics and control, and optimization of transportation infrastructure. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a PhD degree 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.

Job Description

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Position Summary

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

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

Key Responsibilities

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

Qualifications

Essential:

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

Desirable:

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

Application Process

Applicants should submit the following:

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

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

About Infectious Diseases Translational Research Program

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

About Department of Microbiology and Immunology

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

About NUS Yong Loo Lin School of Medicine

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

Main Responsibilities

· Sources for vendors and evaluates quotations.

· Negotiates and coordinates with suppliers and cross functional teams for best possible price purchases.

· Coordinates with other departments internally, on stock availability and delivery schedules and to maintain tight inventory control.

· Generate purchase order and maintain the filing system of purchasing records.

· Involved in planning, sourcing and recommending suitable materials, products, goods and services in accordance with desired purchase conditions, from local and overseas suppliers and vendors.

· Ensure procurement procedures and policies are followed.

· Conduct regular review cost effectiveness and performance of suppliers and vendors by making random checks on supplier’s and outlets.

· Carry out ad hoc assignment as instructed by Management.

Requirements

• ‘N’/’O’ level, or Certificate or equivalent in Purchasing/Materials/ Supply Chain Management
• Minimum 2 years of purchasing experience
• Pleasant disposition and excellent interpersonal skills
• Positive work attitude
• Good administrative and problem solving skills
• Able to handle multi-tasking and work pressure

· Possess Class 3 driving licence would be an advantage (Not a must)

- Oversee operations and cleanliness on ground

- Perform general cleaning to maintain cleanliness

- Manage customer complaints in professional manner

- Manage manpower deployment

- Conduct site inspections to ensure compliance with health and safety standards

- Prepare operations reports and other administrative duties

- Any other related duties assigned by manager

Dementia Singapore is seeking a creative and dynamic Senior Executive to help grow DementiaHub.SG – Singapore’s first one-stop resource portal on dementia. Dementia Hub is positioned as a community-facing resource platform providing credible informational support to persons with dementia, caregivers, care practitioners and the community to navigate through the dementia journey and bring about a more dementia-inclusive society.

In this role, you play an active and pivotal role to write and publish useful content and continuously improve the quality of resources and interactive experience of the portal. You will be responsible for helping the team to build a stronger online presence through the creation and dissemination of high-quality content to captivate and engage readers who have been impacted by dementia.

Job Responsibilities

• Write, proofread, and publish articles for the website, research/evaluation reports, and other resources covering the latest developments in dementia care and research. This would include evidence-based practices, innovative research tools, and techniques, all contributing to the resource portal.
• Proactively identify and explore emerging topics within communities impacted by dementia to ideate and deliver refreshing new content themes to support these communities.
• Partner with key collaborators and stakeholders to co-author articles and create dementia-related resources. This involves both strategic planning and the production of content that addresses the needs of the dementia care community.
• Manage administrative tasks, which includes documenting the notes of meetings, managing project schedules, coordination of project activities, monitoring and documenting the services provided, and billing.
• Provide research support for projects including literature review, conducting of focus groups, interviews and surveys, data analysis, and interpretation of findings.
• Assist in the preparation of evaluation/research reports, and presentations to stakeholders.
• Any other duties as assigned.

Requirements

• Hons / Degree in Psychology, Social Sciences, Gerontology or Health-related fields with at least 3 years of relevant working experience of similar role.
• Strong written communication skills, including academic and report writing.
• Strong interpersonal and oral communication skills.
• Excellent organisational and time management skills.
• Experience in data collection for qualitative research studies preferred.
• Positive self-starter and comfortable with ambiguity and change.
• Able to work independently and a responsible team player.