Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Associate, Microbiome & Bioinformatics

We are looking for a Research Associate to join the laboratory of Dr Anni Zhang at SBS. This role focuses on a cutting-edge project, “Predicting DNA-Protein Binding to Enhance Bacteria-Based Cancer Therapy Safety and Efficacy.”

Key Responsibilities:

• Collect and analyze bacterial sequencing data.
• Design bioinformatics and statistical models to detect selective sweeps in the gut microbiome.
• Provide guidance on other microbiome-related projects within the lab.
• Other duties as assigned.

Job Requirements

• A Master's degree in Quantitative Biology or a related field, with a focus on bioinformatics.
• Strong communication skills in English - essential for data analysis and communication with stakeholders
• Experience in developing statistical models.
• Strong background in microbiology and mathematics.
• Personal attributes: patient, curious, cooperative, and meticulous.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Interested applicants are invited to apply directly at our NTU Career Portal.

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 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

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

Qualifications

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

The Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) in 2013. As a renowned research institute, ATMRI focuses on finding innovative solutions to advance air traffic management (ATM) and catalyze the transformation of ATM systems in the region. The institute is at the forefront of research, integrating advanced AI, data analytics, and human-centered approaches to enable next-generation ATM systems.

We are seeking a motivated and independent Research Associate to join our team and drive innovative research in air traffic management.

Key Responsibilities:

• Assists in the development of the air traffic management tools to maintain situational awareness, decision-making efficiency, and smooth coordination when operating under the multi-sector planner operational concept.
• Implementation of back-end algorithms into a user interface suitable for validation exercise at technology readiness level 4.
• Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge.
• Conducting original research, publishing in leading journals and conferences, mentoring junior researchers, and facilitating collaborations with industry and academic partners.

Job Requirements:

• A Master’s degree in aerospace engineering, operations research, or a related field;
• Research experience/Domain knowledge in ATM is highly advantageous.
• Strong research contributions, evidenced by publications in SCI Q1 journals and peer-reviewed conferences.
• Proficiency in programming (Python, C++, MATLAB).
• Excellent English communication and writing skills - for research purposes
• Capable of managing multiple tasks effectively, both independently and as part of a collaborative team.

Join us to contribute to cutting-edge research and help shape the future of air traffic management!

We regret that only shortlisted candidates will be notified.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

Overview*

Alexandra Hospital, a member of the National University Health System (NUHS) cluster, is a historic site providing integrated, holistic care to patients. The hospital is a test bed for innovative care approaches in Singapore and is currently running a diverse portfolio of studies. Alexandra Research Centre for Healthcare In a Virtual Environment (ARCHIVE) is set-up to support the design of innovative experiments in hospital-supported, community-focused, patient-centred virtual care (vCare) models. ARCHIVE’s projects can include research studies, quality improvement projects and clinical trials that incorporate digital technology to ensure the care models are future ready.

The successful candidate will be expected to contribute towards new virtual healthcare projects and manage tasks on the evaluation of existing vCare programs in the areas of telemonitoring, telecollaboration, connected ward ecosystem and virtual care centre.

Job Responsibilities*

You will be responsible for the following:

• Successfully manage projects from start-up to completion.
• Study protocol development
• Develop statistical analysis plans and conduct analyses.
• Oversee study compliance to the ethics requirements and local regulations
• Supervision of quantitative and/or qualitative analysis
• Development of scientific papers and the dissemination of the study findings
• Preparation of proposals for new grants
• Conduct literature reviews, including systematic reviews.
• Mentoring junior staff
• Engage with healthcare professionals and collaborators to support research activities.

Requirements*

• PH.D. in Public Health or Health Services Research
• Proven track record in clinical/public health/health services research, with outstanding management abilities and a demonstrated track record of leadership.
• Minimum 2 years’ relevant experiences
• Strong acumen with in-depth understanding of quantitative and ideally qualitative research methodologies.
• Proficient in use of standard statistical or qualitative software e.g. STATA, SPSS, NVivo.
• Good scientific writing skills as demonstrated by track records of publications in international peer-reviewed journals
• Able to drive research projects from design, implementation to deployment
• Project management capabilities and experience in driving a cohesive research team and cross teaming environment
• Possess confidence to resonate with clinician investigators and research collaborators – internal and external stakeholders
• Ability to multi-task and work under tight timelines
• Good analytical and organization skills
• Excellent communication, problem solving, presentation, negotiation and interpersonal skill

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents may apply.

• Assist the Manager (Research) in overseeing research projects and grants, including budget management, allocation of student assistants, and processing payments.
• Ensure all research projects comply with regulatory and funding agency requirements.
• Work closely with the Manager (Research), faculty members, and other departments to ensure effective project management and successful completion.
• Process grant administration requests, track changes and expenses, and maintain project reconciliation spreadsheets.
• Develop and maintain strong relationships with funding agencies and external partners.
• Prepare progress reports, final reports, and other documentation required by funding agencies.
• Compile, maintain, and manage records and filing systems for research grants.
• Update standard operating procedures (SOPs) to reflect changes in regulatory requirements and best practices.
• Provide administrative support to the Associate Chair of Research, including scheduling appointments, managing calendars, and organizing meetings.
• Assist in preparing presentations, reports, and other materials for meetings and presentations.
• Perform other administrative tasks as assigned by the Manager (Research) and Associate Chair of Research.

Requirements:

• Master or Bachelor’s degree, preferably with a minimum of 3 years of experience in research administration, including budget and grant management.
• At least 3 years of experience in research administration and providing executive-level administrative support.
• Proficiency in MS Office Suite and other automation software.
• Excellent communication skills with the ability to work effectively with a diverse range of stakeholders.
• Highly organized and meticulous, with strong attention to detail.
• Capable of prioritizing tasks effectively and managing multiple responsibilities simultaneously

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolkelly.com.sg/policies. If you wish to withdraw your consent, please drop us an [email protected]) to let us know. Please feel free to contact us if you have any queries

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No: R1440784 (Foo May Cheng)

The successful candidate will be a member of a translational team investigating and designing RNAi therapeutics for various epithelial disorders.

Responsibilities:

• Involvement in projects related to epithelial disorders.
• Perform wet lab experiments using techniques in molecular biology including immunohistochemical analysis, in situ hybridization and microscopy.
• Perform husbandry and genotyping of the laboratory’s mouse colony.
• Provide laboratory maintenance support and procurement activities.

Requirements:

• Bachelor’s degree in Life Sciences/Biomedical Sciences/Biological Sciences or related fields
• Experience in a laboratory environment.
• Willing to work with mouse models; prior experience is a plus.
• Excellent organizational and interpersonal skills and attention to details.
• Excellent oral and written communication skills.
• Highly motivated and passion for 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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

Research Fellow position is immediately available at the Hematopoietic Stem Cell Laboratory located at National Cancer Centre Singapore. The Hematopoietic Stem Cell Laboratory laboratory under Prof William Hwang is looking to for RF who can bring the skillset to the hematopoietic stem cell expansion platform.

Education Qualifications:

- PhD with minimum 2 years of relevant experience with specialisation in stem cell culture.

- Good oral and written English.

Relevant Experence:

- Perform induced pluripotent stem cells (iPSCs), hematopoietic stem cells (HSCs) and/ or mesenchymal stromal cells (MSCs) culture.

- Experience with induced pluripotent stem cells is a plus.

- Experience with cell expansion systems (suspension or adherent types).

- Ability to read, analyse and interpret scientific data and publications.

- Ability to author or review protocols, technical reports and technology transfer documents.

- Ability to define problems, collect data, establish facts, and draw conclusions.

- Able to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies.

- Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, 10X genomics, Mass Spectrometry and bioinformatics will be valued.

- Excellent organisational skills.

- Proficient in molecular biology techniques (e.g. DNA and RNA isolation, qRT-PCR, sequence analysis, plasmid cloning, protein analysis and western blot), data analysis (E.g RNA-seq).

- Experience in generation and expansion of iPSC's, T cells, NK cells, HSCs and/or MSCs.

- Immunostaining, microscopy and image analysis (e.g. FISH).

- Experience in handling tissue samples for derivation of cell lines.

- Ensure continuous professional development by keeping up to date with all technical knowledge and skills in line with current best practices.

The following laboratory skills are desirable:

- Stem cell biology and differentiation.

- Transcriptomics, metabolomics and proteomics with advanced bioinformatics analysis.

- Flow cytometry, FACS and high throughput screening analysis.

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.

NTU Institute of Structure Biology (NISB) provides a complete pipeline for Structural Biology to accelerate discovery in basic and applied Bioscience.

At NISB, we aim to integrate a comprehensive set of Structural Biology tools to address fundamental questions in biology, to understand human diseases and to accelerate structure-based drug discovery. We have the expertise and equipment to bring your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X-ray crystallography.

For more details, please view https://www.ntu.edu.sg/nisb

We are looking for a Senior Research Fellow to play a leading role in running NISB in close partnership with the NISB Director. This role offers a unique opportunity to drive impactful research while fostering collaboration and innovation in a dynamic scientific environment. The job scope includes:

Key Responsibilities:

• Collaborate with various academic and industry users of NISB facilities to define their needs and to help design and perform the experiments together with the core NISB team;
• Lead the NISB core team to ensure timely delivery of quality samples and deliverables (overexpressed protein, structure with proper protocol and documentation;
• Work with the core team to maintain accurate and comprehensive reporting and documentation for tasks commissioned by academic and industry users;
• Support NISB Director in advocating for NISB’s activities and technological platforms to enhance visitibility and engagement with stakeholders;
• Contribute to in-house research and platform technological development : the successful candidate can pursue independent research in structural biology or biotechnology aligned with the institute’s interest in protein structure and engineering.

Job Requirements:

• A PhD degree in Molecular Biology, Biochemistry, Structural Biology, Biotechnology or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in protein related work
• Possesses international experience, acquired through postdoctoral experience documented by relevant publications
• Good written and oral communication skills
• Proficiency in handling software to collect and process Structural Biology data (XDS, CCP4, Phenix for X-ray crystallography and Cryosparc, Relion for Cryo-EM
• Very good publication record in international peer reviewed journals in relevant fields
• Strong ability to work independently, to develop solutions under strict timelines, meticulous and eye for details Excellent organizational and time management skills
• Demonstrates strong collaboration skills by working effectively with diverse academic and industry stakeholders, as well as thriving in a fast-paced environment alongside the NISB core team

We regret to inform 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.

Job Title: R&D Engineer - Electrolyte (Battery Material Research Division)

Location: NTU-Durapower Advance Lithium Battery Joint Lab #02-01, 1 Cleantech Loop, Singapore 637141

Overview:

We are seeking dedicated R&D Engineers specializing in electrolyte development to join our dynamic Battery Material Research Division. This role focuses on advancing high silicon-based projects, optimizing electrolytes for high-voltage, high-power, and high-safety applications, particularly in the realm of solid-state battery technology.

Key Responsibilities:

· Electrolyte Formulation: Lead and contribute to the development and optimization of electrolyte formulations tailored for high silicon-based battery projects, emphasizing enhanced performance, safety, and stability.

· Integration of Silicon Anodes: Collaborate within multidisciplinary teams to effectively integrate high-capacity silicon anodes into battery systems, addressing challenges related to volume expansion, cycling stability, and interface engineering.

· Experimental Design and Analysis: Design and execute experiments using coin and pouch cell configurations to evaluate and iterate on electrolyte performance. Analyze data to inform the enhancement of battery characteristics.

· Collaborative Research Initiatives: Work closely with cross-functional teams, including materials scientists, physicists, and mechanical engineers, to drive innovation in battery technology. Contribute actively to the advancement of solid-state battery research.

· Documentation and Reporting: Maintain meticulous records of experimental procedures, results, and analysis. Prepare technical reports and presentations contributing to scientific publications or patents.

Requirements:

· Bachelor's degree or higher in Material Science, Physics, Mechanical Engineering, or related fields.

· Proficiency in electrolyte chemistry and its significance in battery performance.

· Strong grasp of battery materials, with a focus on high silicon-based projects.

· Prior experience or demonstrable skills in experimental design and hands-on work with coin or pouch cell fabrication and testing.

Preferred Skills:

· Prior exposure in Project & R&D laboratory setting

· Experience or exposure to solid-state battery technology and solid electrolytes.

· Familiarity with software tools for data analysis and simulation in battery research.

· Any prior experience in industrial R&D, especially in battery or energy storage-related projects, would be advantageous.

· Knowledge or exposure to characterization techniques (e.g., impedance spectroscopy, SEM, TEM, X-ray techniques) is advantageous but not mandatory.

This role offers an exciting opportunity to contribute to cutting-edge research in battery materials, particularly in harnessing the potential of high silicon-based projects and advancing the development of next-generation solid-state batteries. Join us in shaping the future of energy storage technology!

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The SMU Urban Institute, launched in early 2024, is a university-level research institute dedicated to advancing an interdisciplinary research agenda. Leveraging SMU's strategic position as a dynamic management university in Singapore's city centre, the Institute aims to make a meaningful impact through the study of Asian cities. We are currently seeking individuals with specific skillsets to support the various ongoing research projects at the Institute.

Work under supervision of PI (Principal Investigator) to create and operate a large-scale taxi/ride-hailing simulator in Singapore setting. The major responsibilities are:

• Refit an existing large-scale taxi/ride-hailing simulator using latest street topology.
• Process large datasets from LTA and Gojek to prepare for simulation calibration.
• Design an automated process to calibrate the simulation model, so that it is consistent with real-world data.

• Bachelors/Masters degree in Computer Science or a related computing focused discipline is required.
• Previous research experience is highly preferred.
• Excellent coding ability and experience in Python or Java is essential.
• Coursework in data structures and algorithms, probability and statistics.
• Experience with geospatial data analytics is a big plus.
• The candidate should provide a sample of significant project on github/bitbucket.

#LI-XL1

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

NTU’s School of Materials Science and Engineering (MSE) seeks a highly skilled and innovative researcher to drive advancements in small molecule electroconversion, with a strategic focus on ammonia. The role involves integrating expertise in computational modeling, machine learning, materials synthesis, and characterization to develop cutting-edge, sustainable solutions in energy systems. This position supports NTU MSE’s mission to lead world-class research that addresses pressing global challenges in energy storage and environmental sustainability. The successful candidate will contribute to high-impact publications and pioneering projects that reinforce NTU’s leadership in transformative research.

Key Responsibilities:

• Conduct research to design and develop advanced electrode materials and catalytic systems for small molecule electroconversion, focusing on ammonia.
• Utilize computational tools, such as Materials Studio, along with machine learning techniques (Python, Matlab), to simulate and optimize material properties and reaction mechanisms.
• Synthesize and characterize materials using advanced techniques, including XRD, Raman spectroscopy, TEM, and XAFS, to evaluate structural stability and performance.
• Perform electrochemical testing and develop protocols to assess catalytic and energy storage efficiency.
• Integrate experimental results with machine/deep learning and theoretical insights to identify and understand new reaction mechanisms.
• Publish findings in high-impact journals and present at international conferences to enhance NTU’s academic reputation.
• Collaborate within multidisciplinary teams to ensure project milestones are met and contribute to the the project research goals.
• Lead and contribute to innovative solutions addressing challenges in electrochemical processes for sustainable energy systems.

Job Requirements:

• Ph.D. in Chemistry, Materials Science, or a closely related field, with a strong focus on electrochemistry, catalysis, or energy materials.
• Expertise in material synthesis, advanced characterization (XRD, Raman, TEM, XAFS), and electrochemical testing methodologies.
• Proficiency in computational modeling tools and machine learning (Python, Matlab) for predictive and analytical purposes.
• Demonstrated research background in designing and optimizing electrode materials and catalytic systems for energy applications.
• Strong publication record with papers in high-impact journals, showcasing significant contributions to material science and electrocatalysis.
• Problem-solving skills with a demonstrated ability to integrate experimental and theoretical approaches to address complex research challenges.
• Familiarity with electrochemical cell assembly/design, testing, and visualization tools (e.g., Photoshop).
• Proven organizational and project management capabilities to deliver impactful and timely research outcomes.

We regret to inform that only shortlisted candidates will be notified.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

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]

Seeking for a Senior Executive, Research Administration, Up $4K

Duration: 1 Year Contract

Work Hours Mon – Thur: 8.30am to 5.45pm, Fri: 8.30am to 5.15pm (inclusive of 45 mins lunch break)

Location: Near Pioneer / Boon Lay Mrt

The Senior Executive, Research Administration plays a pivotal role in supporting the administration of research projects and grants. This position involves managing budgets, coordinating with research teams, and providing comprehensive administrative support to the Associate Chair of Research.

Responsibilities:

• Assist the Manager (Research) in overseeing research projects and grants, including budget management, allocation of student assistants, and processing payments.
• Ensure all research projects comply with regulatory and funding agency requirements.
• Work closely with the Manager (Research), faculty members, and other departments to ensure effective project management and successful completion.
• Process grant administration requests, track changes and expenses, and maintain project reconciliation spreadsheets.
• Develop and maintain strong relationships with funding agencies and external partners.
• Prepare progress reports, final reports, and other documentation required by funding agencies.
• Compile, maintain, and manage records and filing systems for research grants.
• Update standard operating procedures (SOPs) to reflect changes in regulatory requirements and best practices.
• Provide administrative support to the Associate Chair of Research, including scheduling appointments, managing calendars, and organizing meetings.
• Assist in preparing presentations, reports, and other materials for meetings and presentations.
• Perform other administrative tasks as assigned by the Manager (Research) and Associate Chair of Research.

Requirements:

• Master or Bachelor’s degree, preferably with a minimum of 3 years of experience in research administration, including budget and grant management.
• At least 3 years of experience in research administration and providing executive-level administrative support.
• Proficiency in MS Office Suite and other automation software.
• Excellent communication skills with the ability to work effectively with a diverse range of stakeholders.
• Highly organized and meticulous, with strong attention to detail.
• Capable of prioritizing tasks effectively and managing multiple responsibilities simultaneously.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1223746 Tan Eng Kah (Chen Yunjia)

https://sg.go.persolkelly.com/job/apply/10618

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 Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.