Research & Development Sous Chef

Overview

A fantastic opportunity for a creative, passionate and driven individual to be part of a growing manufacturing company with opportunities for long-term career progression as the business grows. You will be the expert in recipe development and culinary innovation.

As a R&D Sous Chef, you will work closely with the management and quality assurance department to develop new recipes and refine taste profiles through experimentation for B2B customer – Café, Education, Catering and Retail products. You will train kitchen team members, supervise and coordinate all culinary activities. You are also responsible for preparing consistent, high quality food products and improve efficiency to streamline kitchen operations.

Responsibilities include:

• Create new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations
• Confirm product formulations and other information for constructing product specifications and documentation
• Make recommendations in the design of new manufacturing processes or to change current equipment or processes
• Plan, manage and run panel sessions and sensory tests on food products
• Review ingredients to meet customer needs and requirements
• Monitor and maintain product quality and food safety system
• Conduct food safety and shelf-life risk management during the product development stage
• Ensure the cleanliness and maintenance of all work areas, utensils, and equipment
• Conduct studies to discover ways to improve the efficiency of production processes
• Ensure manufacturing and processing staff wear appropriate sanitary and protective gear to ensure health and safety
• Monitor every aspect of production to ensure compliance with established procedures and standards
• Oversee the maintenance, repair, and replacement of production equipment to ensure smooth work operations
• Set production objectives and implement action plans for achieving set targets
• Conduct forecast to identify potential risks and contingencies in a proposed project
• Prepare periodic reports to update upper management on food production activities
• Create workshifts to ensure round-the-clock food production operations
• Maintain accurate inventory of raw materials and processed food products
• Ensure products and raw materials are stored properly at optimum conditions
• Carry out surveys to identify customer requirements and adjust to meet such needs
• Follow all safety and sanitation policies when handling food and beverages

Minimum qualifications

• At least 8 years of relevant working experience in F&B
• Culinary-related certifications/Diploma preferred
• Fluency in English and Chinese

Requirements

• Good communication and interpersonal skills
• Able to work within deadlines and well-organised in handling multiple projects
• Strong and proven track record of executing projects
• Positive attitude and eager to learn
• Display strong initiative and able to work independently
• Thrive in a fast-paced environment and able to adapt quickly
• Strong understanding of food manufacturing processes
• Proficient in cost management and production efficiency strategies
• Knowledge in food safety and quality hygiene systems e.g. HACCP, GMP, Food safety management systems e.g. ISO 22000, AIB, FSMS 22000, etc.
• Creative, detail minded, with excellent communication skills and can work independently and as a team
• Strong project management and influencing skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on A*STAR LCERFI research project entitled “Methane Pyrolysis for Hydrogen and Carbon Nanotube Production via Novel Catalytic Membrane Reactor System”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.

• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant / Research Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant / Research Engineer will be responsible for working closely with the Principal Investigator and lab members on topics of “Automation of Threat Detection in Security Operation Centers (SOCs)”. He/she should possess experience or interest in the following research areas:

· Security Information and Event Management (SIEM) system

· Large Language Models

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Good publication record: and
• Experience in research.

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

Job Title: Research Fellow in Spatial Epidemiology

Location: Singapore

The Saw Swee Hock School of Public Health at the National University of Singapore (NUS) seeks a highly motivated and skilled Research Fellow to join an interdisciplinary research project on surveillance for zoonotic and vector-borne diseases in changing environments (SENSOR Project). This project focusing on emerging diseases in Borneo and is conducted in collaboration with an international consortium of universities in Malaysia, Singapore and the UK. This position offers the opportunity to work on ground-breaking research projects in the broad areas of environmental change, infectious disease surveillance, spatial epidemiology, machine learning and global health.

Key responsibilities:

• Conduct high quality research in epidemiology, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches;
• Develop and implement statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data;
• Collaborate with multidisciplinary teams of researchers, including epidemiologists, biologists, environmental scientists and policy makers;
• Present research findings at national and international conferences and publish results in peer-reviewed scientific journals;
• Support design of field studies in collaboration with international partners;
• Assist in the supervision and mentoring of graduate students and junior researchers; and
• Contribute to grant proposals and progress reports for funding agencies.

Qualifications:

• A PhD in a relevant field such as epidemiology, geography, computer science or a related discipline;
• Strong background in any one of machine learning, infectious disease modelling, epidemiology, quantitative environmental science or ecology, remote sensing or a related field;
• Proficiency in programming languages such as R or Python;
• Experience with machine learning or statistical methods applied to public health and/ or environmental challenges;
• Interest in climate and environmental change and infectious disease dynamics;
• Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences;
• Demonstrated ability to work effectively in a multidisciplinary team and independently; and
• Track record of publications in peer-reviewed journals.

Review of applications will begin immediately and continue until the position is filled. The anticipated start date is February 2025, but this is negotiable. The initial appointment will be for one year, with the possibility of renewal based on performance.

NUS is an equal-opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, age, national origin, or disability.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

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 aim to develop advanced AI models for creating cardiac digital twins, i.e., personalized virtual heart models. We will employ the dataset (imaging, ECG, electronic medical records, etc) collected from patients, to accurately modelling the anatomy and simulate the function of patients' diseased hearts. These models, coupled with machine learning techniques, contribute to the identification of crucial mechanistic relationships and features that offer insights into the trajectory of a patient's heart condition. The research will delve into the intersection of AI and cardiac sciences, exploring novel approaches to revolutionize our understanding of the human heart. With the potential to impact medical treatments and technology advancements, it promises an exciting and important avenue for personalized medicine. We will collaborate with a multi-disciplinary team, including academics/ experts from NUS, University of Oxford, University of Southampton, Imperial College London, Fudan University, etc.

The selected Research Assistant will be required to:

• Collect, preprocess, and analyze clinical data.
• Develop neural surrogate model for efficient cardiac simulation.
• Write well-documented code for experiments, ensuring reproducibility and efficiency.
• Write and submit research articles to top-tier peer-reviewed journals and conferences.

Qualifications

• Possess a recognised bachelor’s degree in biomedical engineering, computer science, data science, applied statistics/ mathematics, or any-related field.
• Strong problem-solving abilities and learning capability.
• Proficiency in programming (Python, C++, etc)
• Strong written and spoken communication and comprehension and able to present results clearly.
• First-authored relative publication in top-tier journals and conferences are preferred.
• Being self-motivated and enthusiastic about AI for healthcare.
• Open to fixed-term contract.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical 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 learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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

Project Overview

We are seeking a Research Scientist to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Requirements

-Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Computer Science (e.g., with a focus on Human-Computer Interaction), Management, Organizational Behavior, Philosophy, Journalism, or other related fields by the start of the appointment.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

-Strong publication record in top-tier conferences and journals.

-Familiarity with statistical data analysis tools and techniques.

-Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

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:

Introduction

The National University of Singapore Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join us as a Research Fellow in Communication, Journalism, and Related programs under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”.

Job Description

As a Research Fellow in Communication, Journalism, and Related programs with CTIC, you have demonstrated prior research experience, so you will be tasked with supporting the planning and execution of a research project under the CTIC Digital Resilience research grant. You will work closely with the Principal Investigator on a research problem related to news on social media.
RAs with a communication research background will be tasked to focus on human evaluation and news consumption (Communication research).
Ras with a computer science or related background will be tasked to focus on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics).
You will be handling and contributing to research and innovative findings in a team, leading to publications in top-tier conferences/journals as well as exciting real-world implementations. The level of responsibility and independence entrusted would be commensurate with prior experience and academic qualifications.

Job Responsibilities

As a Research Fellow with CTIC, you will have the following duties:

Research:
• Plan and lead literature review efforts
• Plan and draft submissions for conferences and journals based on findings.
• Plan and write op-eds for university blogs and popular media.
• Comm Research RAs:
o Plan and conduct experiments on human perception and consumption of online news.
o Collect data and analyze it using tools like SPSS, R, and Excel
• CS Research RAs:
o Plan and conduct experiments on the modeling of different facets of news and news quality
o Train models, finetune LLMs, collect data and analyze it
• Write op-eds for university blogs and popular media.

Coordination:
• Plan and oversee participant recruitment and logistics for survey experiments
• Plan, manage and maintain IRB documentation.

Each research paper will have the following phases to it:
• Phase 1 – Literature reviews
• Phase 2 – CS research design, or Social Science research design, including IRB applications.
• Phase 3 – Data collection and pre-processing.
• Phase 4 – Data analysis and result tabulation.
• Phase 5 – Research communication and writing of papers.

Qualifications

• Minimum Master’s Degree in Computer Science or Communications (or in any other closely-related field).
• Minimum 2 years of relevant research experience with publications, in one or more of the following areas:
o Experience required for Computer Science degree holders
- Natural language processing, machine learning and/or knowledge representation and reasoning.
- Prior first- or second-author publications and/or technical reports or theses
o Experience required for Communications degree holders
- Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.)
- Running standard statistical tests (e.g., using SPSS or SATS or R, for regression, ANOVA, etc.)
- Prior first- or second-author publications and/or technical reports or theses

• A good team player with effective communication skills and the ability to work closely with faculty, staff, students and external collaborators.
• Excellent written and verbal communication skills.

• Proactive problem-solving skills and a forward-thinking approach.

• Demonstrated ability to manage time and data efficiently.

• Proven track record of consistently meeting deadlines and following up on tasks.

Please note that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• At least 5 years of relevant experience
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical 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 learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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

Project Overview

We are seeking a Research Engineer to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.\

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Requirements

- Bachelor’s or Master’s degree.

- Excellent communication and collaboration skills.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Position Summary

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

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

Key Responsibilities

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

Qualifications

Essential:

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

Desirable:

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

Application Process

Applicants should submit the following:

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

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

About Infectious Diseases Translational Research Program

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

About Department of Microbiology and Immunology

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

About NUS Yong Loo Lin School of Medicine

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

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

• Catalysts Synthesis
• Single Atom Catalysis
• Laser Scanning Ablation
• Polymer Synthesis
• Biomaterials Synthesis and Degradation
• Recycling and upcycling of polymers
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, or chemical engineering.
• Ample research experience in catalyst design and synthesis (particularly single atom catalysts and metal oxide catalysts), high entropy nanomaterials
• Ample research experience in polymer synthesis (particularly ATRP, RAFT and ROMP), biomaterials synthesis, and recycling and upcycling of polymers and biomaterials
• Solid background/experience in polymeric materials and polymer recycling and upcycling.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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 National University of Singapore invites applications for the position of Research Fellow in the Department of Information Systems and Analytics, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of emerging technologies for healthcare.

Key responsibilities:

• Familiarize with the research objectives and methodologies
• Conduct an in-depth literature review to identify gaps and opportunities in related work
• Initiate data collection and preprocessing for large-scale datasets from diverse domains
• Design, implement, and validate advanced models to address core research questions
• Develop initial drafts of research manuscripts based on findings

Qualifications

• A PhD degree in the relevant area (or be on track to acquiring one before starting as a Fellow)
• Have substantial experience in research.

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

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Bachelor degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• Open to fixed-term contract

A Research Fellow position in enzyme engineering/synthetic biology for CNegSAF project is available at the Campus for Research Excellence and Technological Enterprise (CREATE) in Singapore.

CNegSAF PROJECT

CNegSAF Project: Carbon Negative production of advanced Sustainable Aviation Fuels using twin synthetic bacterial consortia

Hosted by CNRS@CREATE, the program ‘Carbon Negative production of advanced Sustainable Aviation Fuels using twin synthetic bacterial consortia Project’ (CNegSAF) is an international collaboration between world leading institutions in France and Singapore including CNRS, Toulouse Biotechnology Institute (TBI), National University of Singapore, A*Star (SIFBI), and Nanyang Technological University. CNegSAF aims to demonstrate the feasibility of using a synthetic bacterial consortium to convert green hydrogen and concentrated waste CO2 (released by chemicals companies) into sustainable aviation biofuels. This innovative research program has the potential to significantly contribute to Singapore’s and the world net-zero emissions target while supplying sustainable aviation fuels to the aviation industry.

Read more about the CNegSAF project here.

DESCRIPTION

To join this team, we are looking for a candidate who will be in charge of enzyme engineering activities using state-of-the-art evolutionary engineering and computational enzyme design techniques. The candidate will be involved in the development of screening protocols, construction and screening of enzyme libraries, designed by in silico molecular modelling. These enzymes will be further used for the creation of novel metabolic pathways for terpenoid production in engineered bacterial strains.
The perspective researcher will work in a multidisciplinary environment with access to high-throughput screening equipments (both in Singapore and Toulouse, France) and have frequent and strong interactions with other scientists involved in metabolic engineering, pathway engineering and computational enzyme design.

EXPERIENCE & QUALIFICATIONS

• PhD in Molecular Biology, Biochemistry, Biochemical engineering or related field
• Experience with enzyme engineering and enzyme library construction
• Expertise with HT screening, assay design and development and trouble shooting
• Experience in structural biology and molecular modelling/computational enzyme design would be a plus
• Preferred experience with protein production, purification, characterization and crystallization knowledge
• Preferred experience with metabolic engineering/synthetic biology background
• Strong communication with structured reporting and organizational skills
• enjoy working in a team-oriented environment
• Good English skills are required.

FURTHER INFORMATION & CONTACT

Salary range: SGD 6,900 – SGD 10,000 (depending on suitability and experience)

The position is available starting February 2025 and for a duration of up to three years. The position will be mainly based in Singapore with possible visiting stays in Toulouse, France.

Applicants should send as soon as possible CV, summary of previous research and contact addresses of two references to:
Isabelle ANDRÉ (TBI, Toulouse, France): [email protected]
Xixian CHEN (A*-SIFBI, Singapore) : [email protected]
Bo XUE (SynCTI-NUS, Singapore): [email protected]
Thomas Lautier (TBI, Toulouse, France): [email protected]

You will embark on an enriching career journey at the Environmental Health Institute (EHI), and be a member of the Rodent Ecology Section, where your role encompasses the execution of both field and laboratory research. The areas of focus include (i) biosurveillance of the diversity, distribution, and ecology of rodents and their associated pathogens, and (ii) development of integrated mitigation strategies. You will work with stakeholders to translate scientific findings into policy and operations and contribute to the development of national environmental public health policies. As a member of the EHI family, you will have numerous opportunities for personal development, not only in science, but also in other areas such as project management, and stakeholder engagement.

Job Requirements:

• Bachelor's or Master's degree in Ecology, Zoology, or a related life sciences field, preferably with training in public health.
• Experience in designing and conducting research projects, including fieldwork
• Any peer-reviewed scientific publications will be an advantage
• Knowledge in the systematics, biology, ecology, and field surveillance of vectors (including rodents) and their associated pathogens
• Experience in or a willingness to learn animal dissection techniques
• Familiarity with molecular biology techniques and interest in working in high-containment laboratories
• Basic knowledge of biostatistics and use of statistical software
• Possessing a valid class 3 license and willingness to drive NEA's vehicle to field sites is preferred
• Ability to work with multiple stakeholders and contribute to the translation of research into public health policy and operations
• Good organisational, analytical, interpersonal, and communication (written and oral) skills
• Ability to work in a fast-paced environment and to manage multiple tasks
• Self-motivated and eager to learn

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.

To apply, please proceed to Careers@Gov at https://sggovterp.wd102.myworkdayjobs.com/PublicServiceCareers/job/Singapore/Senior-Principal-Principal-Research-Officer--Rodent-Ecology-Section-_JR-10000026029-1

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Senior Scientist in Lead Optimization Unit

CPR is seeking for a scientist with expertise in protein engineering.

Job requirements

The applicant should be highly skilled in at least one of the following areas:

• Strong and proven expertise in structural biology and molecular biology for protein structure/function investigation.
• Advance knowledge in protein and/or antibody engineering, including but not limited to rational or random mutagenesis engineering approach.
• Expertise in protein biochemistry, protein expression, purification, and characterization.
• Strong organizational skills to deal with large amounts of data and excellent communication and collaborative skills, as well as a team player mindset for working with cross-functional multi-disciplinary teams.
• Knowledge and skill of high-throughput system, automation, and/or general scripting language is a plus but not a must.
• Knowledge and skill of cell biology, biophysics or immunology is a plus but not a must.

The applicant must have completed and be awarded with a relevant Ph.D. degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Information science with 1-2 years of working experience in a related field. In addition, the successful candidates must be able to demonstrate technical expertise in areas which may include molecular biology, cell biology, protein chemistry and protein engineering as evidenced by projects, presentations, or peer-reviewed scientific publications.

As frequent communication and liaison is expected between both the Singapore and Japan office, you should possess an excellent command of both spoken and written Japanese and English languages.

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking an enthusiastic PhD. candidate who can perform experiments (e. g., e-beam lithography, photo-lithography, top-down fabrication techniques, design/building optical characterization setups) and numerical simulations (e.g., FDTD, RCWA, and so on).

Qualifications

• Possess a Ph.D. Degree in either Electrical or Mechanical Engineering.
• Qualified experimental, simulations skills.
• Open to Fixed Term Contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on Shell research project entitled “Integrated Catalytic Plasma and Membrane Design for Low-Temperature High-Value Olefins Production from Light Hydrocarbons”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.
• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

Description:

Simple Food Solutions Pte Ltd is a dynamic OEM food manufacturing company dedicated to providing innovative and high-quality food products. We are looking for a creative and experienced Research and Development Specialist to lead our R&D efforts, drive new product development, and optimize kitchen operations.

Key Responsibilities:

1. Recipe Development and Product Innovation

• Create and test innovative recipes tailored to market trends and customer demands.

• Ensure recipes are scalable for production efficiency while maintaining exceptional quality.

2. Quality Assurance and Control (QA/QC)

• Establish and implement robust QA/QC protocols.

• Conduct product trials to ensure consistency, compliance, and safety standards.

• Resolve quality issues during development and production.

3. Product Approval and Accountability

• Oversee product approval, ensuring all items meet company standards for taste, presentation, and compliance.

• Sign off on finalized recipes and processes, assuming full accountability for product quality.

4. Collaboration with the Sales Team

• Partner with the sales team to understand customer feedback and market needs.

• Assist in presenting products to clients, including demonstrations and tastings.

• Support customization for specific customer requests.

5. Production Alignment and Management

• Collaborate with the Production Manager to align recipes with operational capabilities.

• Train production staff on new recipes and processes.

6. Market and Trend Analysis

• Research food trends, customer preferences, and competitor products to inform recipe development.

• Innovate and propose new product concepts for market differentiation.

7. Documentation and Reporting

• Maintain thorough records of recipes, ingredient specifications, and QA/QC protocols.

• Provide updates to the Production Manager and sales team on project progress and approvals.

Qualifications:

• Minimum of 5 years of culinary experience, focusing on R&D, QA/QC, or product development.

• Expertise in scaling recipes for production.

• Knowledge of food safety regulations and quality standards.

• Strong collaboration skills with production and sales teams.

• Excellent problem-solving and organizational skills.

Education:

• Degree/Diploma in Culinary Arts, Food Science, or a related field.

• Certifications in quality management or culinary innovation are a plus.

Key Competencies:

• Accountability in managing product quality, approvals, and customer satisfaction.

• Creative and innovative thinking with a strong focus on operational alignment.

• Ability to manage multiple projects within tight deadlines.

Benefits:

• Competitive salary and performance incentives.

• Opportunities for career growth and skill development.

• Collaborative and innovative work environment.

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 Division of Family Medicine (DFM) at NUS research themes include chronic diseases, health longevity, cancer care, mental health, multimorbidity, family orientation and care coordination within the primary care setting.

We are looking to appoint a Research Fellow to support the primary care research programmes involving biostatistics. The Fellow will bring a combination of technical expertise in data science and applied statistical methods in primary care research.

The responsibilities include:

• Lead research projects that fall in DFM’s areas of interest and set up relevant research collaborations within and outside of the Division
• Provide support to other academic staff in the preparation of new grant proposals, ethics applications, manuscripts, and oral presentations
• Assist in the management of research activities including team coordination, mentoring of junior researchers, conducting research workshops and seminars
• Interact with interdisciplinary teams to build research capacity amongst our primary care partners
• Be a lead member of the research committee within DFM

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances.

Qualifications

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 will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 1-year full-time appointment at the academic rank of Research Fellow. An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. Start date is flexible, with the position expected to commence in the first half of 2025.

Job Requirements:

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record
• Proven track record in handling and analyzing large healthcare dataset
• Track record of publishing in international peer-reviewed journals
• Strong communication skills in English, both written and spoken
• Strong leadership skills with the ability to work independently and as part of a multidisciplinary team
• Highly developed problem-solving skills and adept at managing complex research data
• Evidence of potential to generate and maintain an independent stream of funding
• Outcome-orientation with excellent organizational and project management skills, and attention to detail

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