We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 2 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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 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.

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

Job Responsibilities:

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

Job Requirements:

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

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

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

Job Responsibilities:

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

Job Requirements:

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

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

Job Description:

Join us as a Heterogeneous Integration Assistant Laboratory Officer/laboratory Officer and become a key player in advancing next-generation technology. In this role, you'll gain hands-on experience with state-of-the-art equipment and contribute to groundbreaking research in electronic module integration.

Key Responsibilities:

• Heterogeneous Integration: Engage in the complete process of module integration, including die preparation (dicing and back-grinding) and combining components into fully functional modules.
• Equipment Operation: Operate and maintain various high-tech instruments used in the heterogeneous integration process, ensuring they are in optimal condition and ready for use.
• Process Support: Manage equipment readiness, ensure the availability of processing materials, and perform critical tasks in the integration process.
• Inspection and Analysis: Conduct metrology inspections and analyse colour coded data to ensure the highest quality and precision in integrated modules.

What You'll Gain:

• Cutting-Edge Experience: Work with the latest technology in heterogeneous integration and contribute to innovative research in advanced electronics.
• Professional Growth: Receive hands-on training and mentorship from experienced professionals, with opportunities for career development within a forward-thinking company.
• Collaborative Environment: Be part of a dynamic team that values your input and fosters a culture of learning and collaboration.

Qualifications:

• Diploma or ITE graduate in Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Electrical Engineering, or Electronics.
• Experience in semiconductors device fabrication or packaging and assembly equipment operations or processes will be added advantage
• Strong communication skills, industry awareness, and problem-solving abilities.
• Highly motivated and a proactive self-starter with the ability to work effectively in a team.

Why Join Us?:

At "Institute of Microelectronics", we are dedicated to developing talent and providing our team members with the tools and support they need to succeed. We offer a vibrant and inclusive work environment where innovation thrives. Enjoy a range of benefits including ongoing training, career progression opportunities, and the chance to work on pioneering projects.

Apply today and start your journey with us in the exciting field of heterogeneous integration!

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

A Research Assistant position is available immediately in the Li-Ren Kong and Sanjay De Mel research team. The position is funded by a thematic grant under NUS Centre for Cancer Research (N2CR) to investigate the key drivers in multiple myeloma, with the eventual goal to develop a ex vivo screening model for drug development.

Duties & Responsibilities

Research:
- Handling and processing clinical samples for genomics and proteomics analyses, including the establishment of long-term culture models for in-depth molecular characterization and functional studies.
- Organize and document experimental results systematically.
- Analyse data and summarise findings for the research team.

Administrative duties:
- Assist with lab housekeeping and administrative duties as needed.
- To maintain the N2CR Avatar portal, including registering & updating new entries and keeping track of the usage of the portal.
- To assist with administrative or ad hoc duties under the N2CR organoid interest group.

Qualifications

- Bachelor’s or Master’s degree in molecular biology or cancer biology.
- Knowledge in cell culture and basic molecular biology techniques.
- Effective communication and presentation skills, with ability to work independently.
- Prior experience on handling human patient material or organoid culture is preferred.
- Experience in laboratory management is preferred but not essential.
- Ability to communicate fluently in written and spoken English

Interested applicants should include the following documents in the job application
1) Curriculum Vitae (CV)
2) Summary of past research experience
3) Description of long-term plans
4) 3 referees including their name, contact information (email) and relationship to applicant

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).

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.

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.

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

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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

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

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 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 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

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.