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 Sun, Ji in a research project on Structural Study of KCNQ1 Channel Pharmacology

The main responsibilities of the position include:

1. Cell culture
2. Daily lab operation like medium preparation
3. Molecular cloning
4. Protein purification
5. Other duties related to daily lab operation and equipment maintenance

Qualifications

M.S. in Biology, Biochemistry or Cell biology

Skills:

• Good communication skills
• Biochemistry: protein expression and purification
• Molecular biology: molecular cloning

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

About the Centre for Research in Health System Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based on independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of Family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Duties and Responsibilities

About the role

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, psychometric analysis and interpretation of quantitative surveys
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

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

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Psychometrics or Statistics or in related discipline with emphasis in psychometrics

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential)
• Demonstrated experience in conducting psychometric analysis using a range of methods (essential)
• Track record of publishing in international peer-reviewed journals (desirable)
• Researchers with experience in the use of Item Response Theory methods and Computerized Adaptative testing are particularly encouraged to apply

Qualifications

Skills and Personal Attributes

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

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

Informal enquiries can be made to Prof Jose M Valderas 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

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based on independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Duties and Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liasing with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Conducting policy analysis: problem definition, data gathering, stakeholders identification, describe policies, assess alternatives, evaluate their impacts using qualitative and quantitative methods and develop clear recommendations in the for of policy briefs
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

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

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences, with emphasis in Policy Analysis

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential)
• Demonstrated experience in conducting policy analysis on range of topics and development of policy briefs for a range of stakeholders (essential)
• Track record of publishing in international peer-reviewed journals (desirable)
• Researchers with existing research activities related to policy analysis aimed at stakeholders in Asian countries are particularly encouraged to apply

Qualifications

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

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

Informal enquiries can be made to Prof Jose M Valderas at [email protected].

Job Description

We are looking for a highly-motivated research scientist to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence.

Successful candidates will have the opportunity to work with a world-class interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research scientist will also work closely with industry partners and interact with them to understand their real-world needs. The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in cybersecurity domain

Job Requirement

• PhD degree in Computer Science, Computer Engineering, Information Technology or related fields, Knowledge or experience in cyber security, network security, system security using Artificial Intelligence
• Knowledge or experience in cybersecurity, network security, or system security using AI
• 2-3 years of working experience in related research areas is a plus
• Publications in top-tier security venues (IEEE S&P, NDSS, USENIX Security, ACM CCS) are expected
• Proficient with DL programing frameworks in Python
• Strong interest in AI for Cybersecurity
• Ability to work independently, as well as in teams - highly desired
• Ability and willingness to learn and adapt - highly desired
• Good team player with both research and engineering ethics
• Good interpersonal skills and communication skills for proposals, reports, and publications

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

JOB DESCRIPTION

We are seeking to recruit a highly motivated Research Fellow to investigate the rules in cancer antigen discovery, towards therapeutic and preventive therapy. Project involves mass spectrometry, immunology and computation. The ideal candidate need not specialise in all three aspects, but should be technically strong in at least one of these areas.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry.
• Expertise in T-cell engineering highly preferred.
• Interested in data and computation.
• Solid publication record and strong scientific writing skills.
• Strong motivation and energy to lead project.
• Good organisational, verbal and interpersonal skills.
• Need to be a team player.
• Keen to learn

Job Description

The Research Fellow in Computational Immunology/Bioinformatics will play a key role in advancing our research projects by conducting expert analyses of next-generation sequencing (NGS) data. This includes single-cell RNA sequencing, T-/B-cell receptor analysis, long-read sequencing, and spatial omics analysis using imaging data. The fellow will have the opportunity to work alongside a multidisciplinary team of leading immunologists, oncologists, and AI scientists, contributing to pioneering research that utilizes diverse data types, ranging from cell lines to clinical samples. The position will leverage the fellow’s bioinformatics expertise to innovate and contribute to the development of effective T-cell epitopes for cancer vaccine design.

Job Responsibilities

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and/or responses to treatments.
• Develop robust bioinformatics pipelines for analysing TCR and in-situ tumor-immune spatial organization using long-read sequencing and high-plex immunofluorescence data, respectively.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and AI scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirement

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of 5 years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of cancer immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent verbal and written communication skills.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analyzing large datasets from various omics platforms.
• Experience in computer vision or image processing.

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

Job Description

The Research Fellow in Computational Immunology/Bioinformatics will play a key role in advancing our research projects by conducting expert analyses of next-generation sequencing (NGS) data. This includes single-cell RNA sequencing, T-/B-cell receptor analysis, long-read sequencing, and spatial omics analysis using imaging data. The fellow will have the opportunity to work alongside a multidisciplinary team of leading immunologists, oncologists, and AI scientists, contributing to pioneering research that utilizes diverse data types, ranging from cell lines to clinical samples. The position will leverage the fellow’s bioinformatics expertise to innovate and contribute to the development of effective T-cell epitopes for cancer vaccine design.

Job Responsibilities

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and/or responses to treatments.
• Develop robust bioinformatics pipelines for analysing TCR and in-situ tumor-immune spatial organization using long-read sequencing and high-plex immunofluorescence data, respectively.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and AI scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirement

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of two years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of cancer immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent verbal and written communication skills.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analyzing large datasets from various omics platforms.
• Experience in computer vision or image processing.

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 Professor Eric Chan on Project Theme 5: Safety, Risk and Nutritional Assessment of alternative protein ingredients under a project on Development of non-animal New Approach Methodologies (NAMs) to innovate Next Generation Risk Assessment (NGRA) based on physiologically based toxicokinetic-toxicodynamic (PBTK-TD) modelling and simulation.

The main responsibilities of the position include:

• Conduct research and development of non-animal in vitro and in silico New Approach Methodologies (NAMs) for Next Generation Risk Assessment (NGRA).
• Lead the design and execution of physiologically based toxicokinetic-toxicodynamic (PBTK-TD) modeling and simulation studies.
• Analyze, interpret, and validate experimental data to develop models predicting toxicokinetic and toxicodynamic behaviors of xenobiotics (food and drug).
• Collaborate with cross-functional teams (e.g., pharmacologists, toxicologists, biostatisticians, regulators) to integrate models with in vitro, in silico and in vivo data.
• Contribute to the preparation of research grant proposals, scientific manuscripts, technical reports, and presentations for both academic and industrial stakeholders.
• Present research outcomes at internal meetings, local, regional and international conferences, and in peer-reviewed journals.
• Stay updated on regulatory frameworks and advancements in NAMs and NGRA.

Qualifications

Qualifications / Discipline:

• PhD in Pharmacy, Physiology, Pharmacology, Toxicology, or related field with a focus on modeling and simulation.
• Strong knowledge of toxicokinetics and toxicodynamics, with expertise in PBTK-TD models.
• Background in systems biology, computational biology, or similar areas relevant to modeling complex biological systems.
• Experience with in vitro and in silico techniques, especially in the context of non-animal risk assessment.

Skills:

• Proficiency in modeling software (e.g., Simcyp, GastroPlus, MATLAB, or similar tools for PBTK-TD simulation).
• Strong analytical and quantitative skills for data interpretation and validation.
• Excellent verbal and written communication skills for technical reporting and collaborative research.
• Ability to work in a multidisciplinary team and manage multiple research activities.
• Problem-solving skills to address challenges in modeling and data integration.

Experience:

• Prior experience in developing and validating PBTK or other physiology-based models in academia or industry.
• Demonstrated experience in Next Generation Risk Assessment and/or non-animal in vitro and in silico methodologies is preferred.
• Proven track record of publications in relevant fields (modeling, toxicokinetics, risk assessment).
• Experience working on collaborative research projects involving multiple stakeholders (academic, industry, or regulatory).

PRINCIPAL RESPONSIBILITIES

Calendar & Scheduling

• Provide secretarial support to the Director, Clinical Research Unit (CRU)
• Manage appointment scheduling of the Director’s Calendar
• Process claims and payments as necessary
• Provide clerical support
• Assist with travel arrangements for the Director and other team members on CRU work-related trips

Administrative Support

1.Mails

1. Collect, sort and distribute in-coming mails, faxes and circulars
2. Despatch out-going mails e.g. pamphlets, notices, letters, circulars and publications to polyclinics / doctors through mail room
3. Fax, file, photocopy, franking letters and retrieve department records and essential correspondences

2. Meeting Arrangements

1. Co-ordinate CRU departmental meetings including dates of meetings, booking of meeting rooms, gathering of agenda and timely dissemination of minutes to team of CRU, and other meeting attendees where necessary
2. Arrange other ad-hoc meetings and refreshment when required.
3. Schedule meetings for the department and send reminders to parties concern.
4. Preparation of rooms and other logistics (eg. attendances, printing of handouts when necessary) for meetings and events
5. Writes minutes for meetings upon request

3. Data collation

1. Collate and maintain statistics upon request
2. Submit collated training events’ attendances to NHGP HRD after training events when necessary

4. Research-related Administration

1. Provide administrative or logistic support to Manager and CRU team upon request
2. Provide grant administration support as necessary
3. Assist the Director, CRU to prepare presentation slides upon request
4. Assist Manager, CRU to organise research-related events such as Journal Clubs, Research Didactics and Forums
5. Assist Manager, CRU to organize and coordinate training courses and seminars in research and medical ethics
6. Assist Manager, CRU to provide secretariat support to various research initiatives e.g. NHGP Research Attachment, CRU Research Assistance applications
7. Track research outcome
8. Assist in maintaining research training records
9. Coordinate and collate for research-related course registration for doctors
10. Renewal of research-related E-journals

5. Other administrative matters

1. Tracking of leave (eg. Annual Leave, Medical Leave) & maintain staff movement chart where necessary
2. Raise IT Job Request when necessary
3. Purchase stationery items for departmental use and maintain tidiness of stationery storage
4. Raise Purchase Requisition and e-Payment and other modes of payment when necessary
5. Maintain and back-up a good filing system in the department and shared drive, including maintenance of CRU assets and IT equipment used in the department

Senior position

In addition to the primary and secondary responsibilities, the Senior Executive Assistant is expected to assume leading roles in these duties, e.g. lead in the coordination of events, as well as to train and mentor junior Executive Assistants where necessary.

SECONDARY RESPONSIBILITIES

• Assist in the maintenance of the department’s generic email account
• Assist in the maintenance of the department’s webpage on the intranet
• Perform any other duties as assigned by supervisors and/ or Director, CRU

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 primary responsibility of this role is to advance an industry-focused research project by developing and optimizing an LLM-based chatbot specifically designed for the hotel industry, delivering innovative solutions for guest interaction and data handling to meet industry standards and drive the organization’s technological edge.

Key Responsibilities:

1. LLM Chatbot Development and Optimization

• Design, develop, and maintain an advanced LLM-based chatbot utilizing a multi-agent approach, specifically tailored to the unique needs of the hotel industry.
• Implement solutions for effective data handling, conversation history tracking, and response adaptation to enhance the chatbot’s relevance, accuracy, and safety in real-time interactions.

2. Technical Support and Integration Assistance

• Provide hands-on technical support to collaborating partners, ensuring seamless integration of the chatbot into existing hotel systems.
• Respond to partner feedback by troubleshooting and implementing updates to continually improve chatbot functionality and user experience.

3. Collaboration on Innovative Research and Development

• Work closely with students on LLM-related projects, focusing on the design of novel chatbot solutions that prioritize data security and sensitive information handling within the hotel industry.
• Contribute to developing new methodologies that enhance chatbot capabilities while addressing industry challenges in privacy and data protection.

4. Project Coordination and Reporting

• Work under the guidance of the Principal Investigator (PI) to ensure project milestones are met, maintaining clear and regular communication on progress, challenges, and future needs.
• Document development processes, maintain records of project achievements, and prepare reports as needed to support project goals and stakeholder updates.

Job Requirements:

1. Education and Knowledge

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong knowledge experience with Large Language Models (LLMs), preferably applied in a business or industry context.
• Familiarity with multi-agent systems, chatbot frameworks, and machine learning techniques.
• Demonstrated experience in collaborative research or development projects.

2. Technical Skills

• Proficiency in programming languages such as Python, and experience with LLM-related libraries and tools (e.g., Hugging Face, PyTorch, TensorFlow).
• Experience with chatbot development, deployment, and optimization, including integration with partner systems.
• Knowledge of conversational AI best practices, including techniques for maintaining conversation history, data handling, and adaptive response mechanisms.

3. Personal Qualities

• A passion for innovation and a strong desire to create and refine new technologies, particularly in AI-driven solutions for real-world applications.
• Ability to think creatively and proactively solve complex problems while maintaining a high attention to detail.

Key Competencies:

1. Innovative Thinking and Problem Solving

• Ability to approach complex challenges with creative solutions, particularly in applying LLM technology to new and specialized industry applications.

2. Collaboration and Communication

• Strong interpersonal and communication skills to effectively collaborate with technical and non-technical stakeholders, including partners, students, and team members.
• Capability to translate technical concepts for diverse audiences and incorporate feedback into ongoing development.

3. Technical Proficiency

• Skilled in deploying, fine-tuning, and troubleshooting chatbot systems, with a focus on ensuring functionality, accuracy, and user satisfaction.
• Ability to adapt and scale solutions to address evolving requirements and maintain best practices in data handling and security.

4. Adaptability and Continuous Learning

• Openness to learning new tools and technologies in the rapidly evolving field of LLMs and AI.
• Ability to stay updated on industry trends and integrate relevant advancements into project work.

5. Passion for Innovation

• Strong enthusiasm for creating new, impactful solutions and contributing to advancements in conversational AI for the hotel industry.

Major Challenges:

1. Balancing Innovation with Practicality

• Designing a cutting-edge LLM chatbot that meets high industry standards for innovation, while ensuring that it remains functional, efficient, and practical for real-world use in the hotel industry.

2. Data Privacy and Security

• Ensuring compliance with strict data privacy regulations and implementing robust security measures to protect sensitive customer information, especially given the hospitality sector’s unique data handling needs.

3. Technical Integration with Partner Systems

• Addressing compatibility and integration challenges when embedding the chatbot into diverse hotel management systems and workflows, requiring close coordination and technical support.

4. Adapting to Evolving Industry Needs

• Continuously refining the chatbot to align with changing requirements, including adapting to feedback from partners and staying responsive to emerging trends and user expectations in the hospitality industry.

5. Maintaining High-Quality User Interaction

• Balancing response accuracy and relevance while preserving a conversational, user-friendly experience, which is especially challenging in complex, multi-turn conversations.

6. Resource and Time Constraints

• Achieving project milestones within the one-year contract period, while managing the technical complexities and scope of multi-agent LLM development under limited resources.

The A*STAR Skin Research Labs (A*SRL) and Skin Research Institute of Singapore (SRIS) aim to develop novel and efficient products and therapies to prevent age-related loss of skin function, treat skin conditions, and reduce the clinical burden of skin diseases. To facilitate the identification of new hits or tool compounds, the Asian Skin Biobank at SRIS has acquired different compound libraries (natural compounds, FDA-approved drugs, kinase inhibitors) and is looking for a motivated and skilled Scientist/Senior Scientist to set and lead the library screening platform. This position is ideal for an individual with a strong background in cell biology and biochemistry, experience in high throughput drug screening, and solid expertise in skin biology, skin models and cell-based assays for the validation of potential targets.

Key Responsibilities:

• Conceptualize cell- based assays for drug screening and hit identification.
• Design and optimize biochemical cell- based assays with various readouts.
• Develop reporter lines to quantify expression of gene of interests.
• Plan, execute and analyse high throughput screening of library compounds for inter- and intra-institutional collaborations.
• Design and execute in vitro functional assays for hit/target validation.
• Serve as primary point of liaison and coordination between investigators, researchers, sponsoring organizations, and Tech Biz.
• Present findings at internal and external meetings and conferences.
• Write research reports and actively contribute to the preparation of publications.

Requirements:

• PhD degree in Biology, Chemistry, Pharmacy, or a related field.
• At least 5 years of relevant experience in screening of compound libraries, development of specialised cell lines, and cell-based assays.
• Knowledge in skin cell biology and diseases.
• Strong organisational and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic attitude.

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.

- 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

Job Description

Sea group is seeking research scientists to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, machine learning, computer vision, etc. The role of a research scientist is to design novel models and propose new general-purpose algorithms that help machines perceive, think, and act in the world. The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in AI. To learn more about our research and our lab, please visit https://sail.sea.com/

• Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); 3D computer vision; network architecture design; generative models; large-scale optimization;
• Research on long-term ambitious goals, while laying out intermediate milestones;
• Publish influential research work on top conferences and journals;
• Collaborate on large projects that are strategically prioritized by the SAIL.

Job Requirements

• Previous research experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research;
• Holding a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
• Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
• (Preferred) Track record of high impact research (e.g. multiple papers with 100+ citations);
• (Preferred) Received best paper or equivalent awards in the aforementioned conferences;
• (Preferred) Winner of international academic competitions.

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

Research Fellow (postdoc) positions in the Department of Chemical and Bimolecular Engineering at National University of Singapore (NUS).

The primary objective of this position is to foster a profound design principle towards novel, efficient and robust electrochemical reactors for the efficient conversion of CO2/CO into liquid fuels. The key is to prevent the electrolyte flooding while maintaining the CO2 reduction efficiency.

The research fellow is required to help in guiding young students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

Applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field. Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environments.

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 Tropical Marine Science Institute, National University of Singapore invites applications for the position of Research Assistant for the research project Marine Environment Sensing Network (MESN; see https://ombak.mesn.sg/).

The MESN project aims to establish operational marine monitoring capabilities for research and monitoring of climate change and other emerging threats to Singapore’s marine environment. MESN also aims to foster development of marine technologies and support marine science R&D efforts.

Key responsibilities:
• Maintaining the operations of a suite of environmental sensors on the MESN buoys
• Curate environmental data from the MESN buoys and other marine monitoring efforts
• Plan and conduct fieldwork to retrieve/deploy sensors and maintain the MESN buoys
• Assist in the curating of web content on the MESN data platform and website
• Work closely with multi-disciplinary team of scientists and engineers
• Perform relevant desk scientific research to a specific brief where required
• Assist with data collection, data analysis, and preparing research results for publication in peer-reviewed scientific journals
• Assist in various administrative duties as part of project management

Requirements

• Bachelor’s degree or higher (preferably with environmental science or engineering background)
• Familiar with water quality measurements and marine environment data
• Must be physically fit and able to work in the field and on boats
• Should be able to multitask and manage tight timelines
• Independent and self-motivated, and organised with attention to detail
• Proficiency in English, both spoken and written, that are essential for communication of findings in scientific and other media
• Team player able to work closely with a multidisciplinary project team including engineers and IT specialists
• Preferably able to SCUBA dive, with PADI Rescue level (or equivalent) and above certification
• Preferably familiar with Singapore’s marine environment

TMSI is committed to an employee-orientated, high-performance culture that emphasises empowerment, quality, and continuous improvement.

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 Tropical Marine Science Institute, National University of Singapore invites applications for the position of Research Fellow for the research project “Enhancing the ecological resilience of coral reefs in response to climate change stressors” (Eco-Res). The Eco-Res project aims to generate actionable strategies from microbial to ecosystem scales. This job call is specifically for Work Package 1 of the project (Ecological solutions for enhancing coral resilience).

Key responsibilities:

• Conduct short- to long-term controlled environment aquarium experiments to investigate effects of stress on coral physiology
• Carry out and refine coral culture protocols at the St. John’s Island National Marine Laboratory aquaria
• Lead dives to monitor corals and carry out field studies on Singapore’s reefs
• Oversee data collection, data analysis, and preparing research results for publication in peer-reviewed scientific journals
• Convey outcomes of research to the relevant stakeholders where necessary
• Monitor and ensure smooth execution of project plan
• Assist in various administrative and project management tasks

Requirements

• PhD in Marine Biology/Marine Science or related fields
• Expertise in marine organism culture
• Experience conducting both aquarium experiments and field research
• Experience in working with corals, coral biology and reef restoration is highly advantageous
• Expertise in statistical analyses and software (e.g. R, SPSS, Python)
• Proficiency in English, both spoken and written, that are essential for communication of findings in scientific and other media
• Proficiency in Microsoft skills e.g. Word, Excel, Powerpoint etc.
• Strong problem-solving skills and the ability to work in a fast-paced research environment
• Independent and self-motivated
• Good publication record
• Must be able to SCUBA dive, with PADI Rescue level (or equivalent) and above certification
• Must have Class 3 driving license (or equivalent)
• Good knowledge of coral reefs in Singapore and/or the Southeast Asian region
• Preferably with experience working/based at offshore marine research stations

TMSI is committed to an employee-orientated, high-performance culture that emphasizes empowerment, quality, and continuous improvement.

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 Assoc Prof Koh Ming Joo on photocatalysis under a project on "Next-generation Geminal-atoms Catalysis as a Disruptive Technology for the Sustainable Fine Chemical Manufacturing". The main responsibility of the position is to develop organic reactions using photocatalysis.

Qualifications / Discipline:

• The candidate shall have a Ph.D. degree in Chemistry.

Skills:

• The candidate shall have the necessary technical skills required to perform research in Chemistry.

Experience:

• The candidate shall have demonstrated experience in photocatalysis and organic synthesis, as evidenced by previous research stints and publications in top international journals.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc/Prof Wu Jie under a project on photocatalysis.

The main responsibilities of the position include:

1. Perform high quality research under PI’s supervision.
2. Draft and publish high impact journals
3. Help PI to write research grant
4. Mentor junior research students

Qualifications / Discipline:

• Postdoc fellow candidate must hold (or be close to obtaining) an internationally recognized Ph.D. degree in organic chemistry, and should have proven track record of excellence in experimental research.

Skills:

• Organic synthesis

Experience:

• Strong track record on related research field

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof Chi Chunyan on carbon nanobelts under a project on "Aromatic Hydrocarbon Belts".

The main responsibilities of the position include:

1. Design and synthesis of fully conjugated carbon nanobelts;
2. design and synthesis of zigzag-edge-rich carbon nanostructures;
3. studies of the physical properties of newly prepared target molecules.

Qualifications

• PhD in Chemistry, Organic Chemistry or Materials Science

Skills:

• Organic synthesis, materials characterization

Experience:

• Organic synthesis

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 a Scientific Partnership and Alliance Manager. The role would be to support the Institute for Functional Intelligent Materials (I-FIM) in new scientific initiatives with new or existing partners leading to answering grant calls, initiating new scientific consortiums and subsequent management of new scientific alliances.

The job scope will cover the following aspects:

Solicitation, networking and events

• Support the Director in reaching out to partners soliciting interest in partnerships
• Organise networking symposiums and discussion platforms
• Communicate with partners and align with partnership goals
• Match and track partnerships that lead to concrete projects

White paper

• Prepare white papers to launch new initiatives reaching out to partners soliciting interest in partnerships
• Discuss with research partners on contribution, requirements, deliverables and goals

Grantsmanship support, proposal crafting and post-award management

• Support Directors, PIs, and partners with proposal writing and collate preliminary data
• Work on references, editorial and proof reading
• Compile proposals with inputs on budget and CVs (working in partnership with I-FIM's research administrator)

Liaison with funding agencies and NUS Office of Deputy President for Research and Technology (ODPRT)

• Lead discussions with various funding agencies (Singapore and overseas) in securing funding for agreed research initiatives
• Collaborate with NUS and partners in setting up management framework of such research enterprise space
• Lead discussions on establishment of enterprise, space, budgetary matters, scope of research, deliverables and tracking

Management of partnerships that will involve agreements and resource planning

• Support Directors and PIs on agreements and documentation with partners (in collaboration with Admin Director)
• Work on resource planning and pledging on such agreements
• Work with NUS business office and legal counsels in crafting agreements
• Administer implementation of such agreements including reporting, invoicing, payments and cost recovery (where applicable)

Budget management and payment

• Oversee and regularly update equipment and maintenance budget and yearly procurement schedule to ensure timely utilization of allocated funds in every Financial Year of all external grant funding
• Ensure suppliers comply with terms and conditions and stick to committed delivery timelines. Engage with NUS procurement and legal teams on penalizing suppliers for extended delay in delivery.
• Perform grant virement as and when required

Project management

• Track performance of partnerships
• Write reports
• Joint conferences and symposiums
• Spring board to upscale enterprise and/or scope of alliances

Job Requirements

• PhD degree in Materials Science, Engineering or their equivalent from a reputable university
• Have at least 5 years of working experience in research administration and management
• Experience with grant writing and agreements
• Excellent command of English and communication skills
• Strong people skills

The Emerging Infectious Diseases (EID) Programme aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

The laboratory of Immunotherapy in HBV Infection within the EID Programme is focused on the study of immune response of Hepatitis B and the liver microenvironment. The laboratory is also at the forefront in developing T-cell receptor (TCR) cell therapy against hepatocellular carcinoma (HCC). Recently, the laboratory is actively involved in studying the immune responses in SARS-CoV1, SARS-CoV2 and other emerging viral diseases.

A Research Assistant / Laboratory Technician position is available and the successful candidate will be closely involved in the collaboration project work between hospitals/industries and the laboratory. The duties and responsibilities include the following: -

• Perform tasks and support the team in scientific projects.
• Plan and perform assays such as Elispot, cell staining and flow cytometry.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Process and store clinical samples, and keep good inventory of samples required for the projects.
• Perform other duties required to support the organization of the laboratory, including but not limited to purchasing, stock-taking, inventory and compliance with safety and ethical regulations.

Job Requirements

• Diploma or Bachelor’s Degree in Life Sciences, Biological Sciences or equivalent.
• Prior experience in a T cell laboratory or immunology laboratory or/and have using human samples, including handling and processing of clinical samples such as blood and tissue would be advantageous.
• Possess good tissue culture techniques and familiarity with cell isolation techniques would be advantageous.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

We are seeking a skilled and experienced scientist to join our dynamic team. The successful candidate will be working in a strong team developing diagnostic product. The role involves collaborating with cross-functional teams, understand the target product profile for the intended use, conducting feasibility studies, verification and validation as well ensuring designs meet technical and regulatory requirements.

Roles and Responsibilities:

• Executing Analytical Validation and Clinical Validation laboratory work
• Executing laboratory work for IVD/RUO product optimization
• Develop protein conjugation capabilities within the protein team.
• Develop protein conjugation workflows which applicable to IVD/RUO product development and scalable for large scale manufacturing
• Documentation of laboratory results as required by DxD Hub QMS and A*STAR
• Support the development of target product profile

Key Requirements:

• Bachelor’s degree in science, Biology or related experiences
• 3 - 5 years laboratory experience
• Knowledgeable in protein conjugation techniques and immunoassays
• Knowledgeable in diagnostics and basic life sciences technologies
• Experience with office management software such as MS office (Excel, Word, PowerPoint)
• Able to communicate effectively, multi-task and able work in a dynamic environment
• Works well as part of a team, yet able to work independently
• Self-driven team player who is able to work in a fast-paced environment
• Work on-site with a cross-functional team

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

Job Description & Requirements

· Work in a team to manage the day-to-day estate operational matters in the Division

· Report to Property Manager of the division

· Involve in the inspection of horticultural works, conservancy cleaning, upgrading building projects, building maintenance issues and all other estate maintenance related works

· Manage and maintain residential and commercial properties in the division

· Liaise with and supervise contractors

· Attend and follow up on feedback from residents

· Carry out enforcement actions related to common property and open space by laws

· Prepare and maintain proper admin and paper documentation

. Any other related duties as instructed by the Property Manager

Our Client is a Singapore Social Worker Agency

Job Description:

• Interview service users and assess their current condition, needs, strengths and weaknesses
• Address each case as a unit and set tailored measurable goals
• Monitor and evaluate clients’ progress and modify treatment plans accordingly
• Offer information and counseling on the best course of action during sessions
• Maintain accurate records and report on clients’ status
• Act as a key-worker and cooperate with multidisciplinary teams
• Refer clients to community services to help them in recovery
• Handle Physical and Virtual Safety Checks

Requirements:

• Any qualification
• Prior experience in Social Services would be advantageous.
• Working knowledge of social theories and practices
• Social perceptiveness and empathy
• Ability to build and maintain professional helping relationships
• Ability to converse in additional languages and/or dialects is preferred.
• Strong command in English is a must

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices.

Requirements

The candidate should have a PhD in Physics and should have worked in clean room as well as familiar with

1. the lithography of nanodevices, i.e. hall bar, field effect transistors and/or
2. CVD growth of ultrathin 2D materials
3. Dry transfer and stacking of 2D materials

The candidate should have a strong track record in 2-D material growth by CVD, publishing in the area of quantum topology physics concerning 2-D materials, or in the spintronics (spin Hall effect) of 2-D materials. The candidate should be adept at using low temperature, magnetic field transport system.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.