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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

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

Job Responsibilities

The Research Associate will have the following duties:

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

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

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

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential) - Demonstrated experience in using a range qualitative research methods (essential)
  - Track record of publishing in international peer-reviewed journals (desirable)
  - Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply
  

Skills

Skills and Personal Attributes:

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

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

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

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

Job Description:

This job involves producing biomaterials through engineered cyanobacterial cell factories by direct carbon capture. To meet the objective of this activity, fundamental study on the improvement of photosynthetic efficiency and carbon utilization, the production performance and efficiencies of assembled cyanobacterial cell factories, bioreactor design for high production of the products will be conducted.

The Research Fellow will have the opportunity to conduct independent research, collaborate actively with multiple research groups and to develop technologies.

Job Requirements:

i) At least a Ph.D degree in chemistry, biological sciences, chemical engineering, materials science and engineering or related areas

ii) Independent, resourceful and able to work in a team

iii) Strong communication skills (both written and verbal), good English writing skills for writing reports and publications

We are seeking highly motivated goal-oriented persons to join our team.

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

Job Responsibilities:

• Manage research data and keep up-to-date research records, be able to perform data analyses and critically interpret generated data, and summarise research findings
• Search and sort out literature and database, identify key findings of previous research, and be able to paraphrase and consolidate key concepts of literature
• Conduct data collection independently (survey, classroom observation, FGD, interview, spoken and written language data)
• Process and generate descriptive data from surveys, classroom observation, FGDs, interviews and corpora independently
• Be able to construct teaching plans or test items independently
• Be able to design research tools for school-based project
• Project administration tasks such as scheduling and liaise with schools
• Be able to develop and maintain co-operative working relationships with Principal Investigator, colleagues and collaborators, be able to give feedback and share ideas or experience with others, and resolve problems in most situations
• Be able to report clearly on design and progress of research project
• Write research reports and papers, and be able to produce relevant write-ups for proposals under PI’s supervision

Job Requirements:

• Master’s degree or equivalent
• Excellent organizational skills and able to work independently within given deadlines
• Experience in working with teachers and students in Singapore schools
• Excellent problem-solving skills and project management skills
• Basic statistical knowledge and skills
• Good theoretical knowledge of research designs in general
• Good IT skills
• Strong interpersonal, written and verbal communication skills in both English and Chinese, to liaise with Chinese-speaking associates
• Basic knowledge in Chinese Linguistics and Language Teaching and Learning

(All applications will be in strict confidence. We regret that only short-listed candidates will be notified.)

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Process Systems Engineering and Machine Learning (AI) for Chemical Engineering. The ideal candidate would have experience in developing first principle process models in Matlab/gPROMS or Python, process optimization, machine learning for chemical processes.

What skills do you have?

Working with chemical process data. Understanding process design, process optimization. Coding in Python. Developing ML workflows.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-process-system-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, NTU and NUS within Cambridge CARES.

HD4 sits at the heart of Singapore’s global research and development hub and paves the way for a sustainable and healthy city. It will undertake research in the following key areas: characterising the features of the environment that potentially impact health in Singapore; understanding the links between environmental factors, individual behaviour and health outcomes; observing the impact of environmental change on health in Singapore; simulating the impact of potential changes on the health of Singaporeans; and working with government agencies to co-develop data-rich public health tools.

The scientific techniques, technologies, tools and most importantly the knowledge gained through the programme will create a comprehensive systems view of how the urban environment affects population health in Singapore. The programme will train and enrich the talent pool of next generation of researchers, and benefit from local and international expertise and an innovative interdisciplinary research ecosystem. It will provide the basis for a data-rich public health framework, supporting the development of a healthy Singapore.

Work Package 1, led by Assoc. Prof. Rudi STOUFFS (NUS) and Ronita Bardhan (Cambridge), targets the identification and assembly of existing geocoded environmental datasets and linkage to individual behaviour and health outcomes. We will use existing data to analyse the built and natural environments in Singapore and construct profiles of urban environmental exposures at both population and individual levels. We will compile and map a set of environmental indicators and discover urban environmental exposure archetypes. These will be linked to the record of each study participant’s individual behaviour and health outcome.

Who are we looking for?

A postdoctoral research fellow to conduct the following work activities:

· Coordinate the work package activities and report on these activities and their results.

· Daily supervise other researchers and their activities in the work package.

· Take the lead in writing articles for publication in reputable journals.

· Collect open-source data and fuse this data towards a comprehensive and integrated city model of Singapore.

· Transform this data for use in a knowledge graph.

· Apply data-driven clustering techniques to define urban exposure archetypes.

· Apply urban analytics and deep learning to understand and demonstrate relevant data correlations.

What skills will you need?

· A doctoral degree in architecture, urban planning, building physics, and or a strongly related field from a reputable university.

· Expertise in urban science, building physics, city modelling and GIS.

· Well conversant in coding in Python and/ or R and data science

· Expertise in development of AI driven physics based deep learning models, with an emphasis on graph-oriented data and network science.

· Experience with writing and publishing articles in reputable scientific journals.

When is position available and for how long?

The position is available immediately initially as a fixed-term 1.5-year contract. The position will be offered subject to a probationary period of three-months.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A comprehensive medical insurance cover as part of your employment.

· Opportunity to work as part of a world-leading scientific research programme.

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-ai-researcher. If you have any questions, please feel free to reach out to the HR team at [email protected].

Summary:

Being a new entrant in Singapore's R&D landscape, Skywork AI Singapore is dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation models and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. The work on Agents delives into both virtual and physical agents, propelling us into the forefront of AGI development.

Skywork AI Singapore is partnering with universities in Singapore, to invite motivated candidates to enroll in a PhD program and work at Skywork AI Singapore. Successful candidates will become full-time employees of Skywork AI and should qualify to be admitted into the PhD Programme at one of the universities in Singapore.

Candidate's Expectation:

• Work with our research scientists to conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community
• Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into business products

Desirable Experience:

• Demontrate a strong interest in a career in computer science
• Keen to study and perform research in areas such as Artificial Intelligence, Computer Vision, Deep Learning, Game AI, Natural Language Processing, Reinforcement Learning, and Speech Recognition. (Preferably but not limited to)
• Proficiency in differentiable programming frameworks such as PyTorch, TensorFlow, and JAX
• Possessed Bachelor's or Master's Degree in Computer Science/Engineering, Statistics, Mathematics, Data science, or related fields is highly desirable
• Not a recipient of, or hold any other scholarship or other award of a monetary nature (Excluding bursary and financial aid);
• Must meet the postgraduate admission and academic requirements
• For existing PhD candidates, must be 2 years or less into the postgraduate program

IPP trainees will be able to enjoy the following benefits:

• A Monthly salary of SGD6,000, in addition to CPF (for citizens and PRs), Medical Insurance, and many employment perks
• Sponsorship of tuition fee for 4 years
• Conference and travel allowances
• Computing equipment and GPU resources

Apply:

Interested candidates may send the latest Curriculum Vitae, transcripts, motivation letter and publication list to [email protected] to explore this exciting opportunity. Kindly indicate in your motivation letter, the University and intake that you have applied to e.g. NUS August 2025 intake.

We are committed to fostering diversity and welcome candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab.

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3 project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow with experience in techno-economics and object-oriented programming. The candidate would have experience in assessing engineering reports and scientific papers on novel synthesis technologies, extracting key process performance parameters. The successful candidate would also have experience in designing and performing simple experimental work in the broad area of process and reaction engineering.

What skills do you have?

Working with chemical process simulators (e.g. Aspen Plus). Coding in Python or C++. Hands-on experimental experience in building and operating chemical reactors on laboratory scale.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-techno-economicobject-oriented-for-sm3-em. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Dr Ewa Marek ([email protected]).

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and capable researcher to join our research group. The successful candidate will contribute to development of cultured meat and sustainability, focusing on developing innovative media and sustainable processes. This position enables the researcher to work on issues in food and sustainability.

Key Responsibilities:

• Conduct research on media development and cultured meat
• Collaborate with cell biologists, biotechnologists, team members and other stakeholders
• Scientific writing

Qualifications

Job Requirements:

• Ph.D degree in a relevant field such as cell culture, fermentation, food bioscience and food science
• Ability to work independently to plan, design and conduct experiments, analyse and interpret data
• Proficiency in English, with good scientific writing and oral communication skills
• A good understanding of media formulation, cell physiology, nutrients, growth and metabolism
• Analytical skills, especially analysis of chemical components

MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world’s leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.

Job Location: Neuros

Job Summary

The Genomics lab is looking for a Research Scientist, whose main focus is to develop NGS workflow for academic and clinical research service, and train technical personnel, leading to the implementation of these new workflow in a commercial service lab environment. The appointment holder is expected to have advanced degree with working experience in NGS technologies. The ideal candidate would be well-balanced between having the discipline to work in a commercial service laboratory environment, and a passion for translating innovative, newly developed laboratory tests for commercial implementation.

Roles and Responsibilities

• Lead the molecular assay development and validation efforts in a commercial service lab setting.
• Demonstrate hand-on leadership to successfully implement NGS service workflow in the commercial service laboratory.
• Design, plan and execute validation tests, establish QC criteria, write validation plan and report.
• Lead the SOP writing and technology transfer to the operations team.
• Propose and implement process improvements and EQA.
• Work closely with other Scientists and Product Managers to provide scientific inputs related to company products and testing services.
• Support other commercial activities as required.

Desired Skills & Competencies

• PhD. in related Science background with 1 – 2 years’ experience in molecular biology or related field.
• MSc. in related Science background with 3 – 5 years’ experience in molecular biology or related field.
• Demonstrated independent research & development work in a molecular biology lab setting.
• Strong understanding and working experiences on NGS technologies is highly desirable.
• Experience in developing and implementing new molecular assays in a commercial service laboratory is an added advantage.
• Experience in single cell sequencing will be added advantage.
• Be a ‘hands-on’ person who welcomes challenges, works independently or as part of a team, and can communicate effectively at all levels.

We appreciate your interest in the above-mentioned position, however, due to overwhelming response, only shortlisted candidates will be contacted.

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 Role

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators

Requirements

• A PhD in Computer Science, with specialization related to natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation skills.

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Machine Learning (AI) for Chemistry and Chemoinformatics. The ideal candidate would have experience in working with chemical databases, developing machine learning workflows based on chemical data for synthesisor properties prediction. The successful candidate would have good understanding of machine learning methods and have experience of coding in Python.

What skills do you have?

Working with chemical data. Coding in Python. Working with different types of data. Working with chemistry related ML tools.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-chemoinformatics-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, NTU and NUS within Cambridge CARES.

HD4 sits at the heart of Singapore’s global research and development hub and paves the way for a sustainable and healthy city. It will undertake research in the following key areas: characterising the features of the environment that potentially impact health in Singapore; understanding the links between environmental factors, individual behaviour and health outcomes; observing the impact of environmental change on health in Singapore; simulating the impact of potential changes on the health of Singaporeans; and working with government agencies to co-develop data-rich public health tools.

The scientific techniques, technologies, tools and most importantly the knowledge gained through the programme will create a comprehensive systems view of how the urban environment affects population health in Singapore. The programme will train and enrich the talent pool of next generation of researchers, and benefit from local and international expertise and an innovative interdisciplinary research ecosystem. It will provide the basis for a data-rich public health framework, supporting the development of a healthy Singapore.

Work Package 1, led by Assoc. Prof. Rudi STOUFFS (NUS) and Ronita Bardhan (Cambridge), targets the identification and assembly of existing geocoded environmental datasets and linkage to individual behaviour and health outcomes. We will use existing data to analyse the built and natural environments in Singapore and construct profiles of urban environmental exposures at both population and individual levels. We will compile and map a set of environmental indicators and discover urban environmental exposure archetypes. These will be linked to the record of each study participant’s individual behaviour and health outcome.

Who are we looking for?

A research associate to conduct the following work activities:

· Compute urban heat island (UHI) intensity to include the interaction of urban morphogenetics such as urban form, sky-view factor, and local temperature anomalies.

· Compute human biometeorology indices such as physiological equivalent temperature (PET) and universal thermal climate index (UTCI).

· Compute humid-heat stress by integrating spatially averaged ambient meteorological data.

· Assess the spatial distribution of heat health risks, identify the climate adaptation capacity of vulnerable groups and neighbourhoods.

· Evaluate the social impacts of climate change (e.g., temperature, heat stress) on human health and mobility behaviour.

· Compute a novel humid-heat index by using multi-modal data, combining geostatistical, AI, and urban physical modelling, apportioned to the chosen unit of analysis.

· Contribute to writing articles for publication in reputable journals.

What skills will you need?

· A Master’s degree in urban planning or geography or a strongly related field from a reputable university.

· Experience in conducting research.

· Expertise in urban heat assessment, health risk and equality analysis, and strong geospatial analysis skills.

· Good command of GIS and geospatial modelling software (e.g., Python, R).

· Experience in multi-source data and multi-scale (regional, urban, neighbourhood) analysis, modeling, and planning.

· Preferably, experience in machine learning / AI and interdisciplinary research.

· Experience with writing and publishing articles in reputable scientific journals.

When is position available and for how long?

The position is available immediately initially as a fixed-term 1.5-year contract. The position will be offered subject to a probationary period of three-months.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A comprehensive medical insurance cover as part of your employment.

· Opportunity to work as part of a world-leading scientific research programme.

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-associate-ai-researcher-for-hd4-rr. If you have any questions, please feel free to reach out to the HR team at [email protected].

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof Cai Zhenning on Numerical Simulation of Open Quantum Systems under a project on "Long-time Simulation of Open Quantum Systems for Spin Chains and Non-Relativistic Particles".

The main responsibilities of the position include:

1. Develop algorithms and write scientific papers for the research project.
2. Attend regular group meetings and present his research work.
3. Collaborate with other colleagues and students in the research group.

Qualifications / Discipline:

• PhD degree in Applied/Computational Mathematics

Skills:

• C/C++ and MATLAB programming languages, knowledge in partial differential equations and quantum mechanics.

Experience:

• At least two years of research experience in scientific computing

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

• Develop and implementation of structural optimization schemes for customized reinforcement configuration in reinforced concrete component.
• Conduct mechanical testing on steel-concrete composite elements.
• Collaborate with team members to ensure that all project milestones are achieved on schedule.
• Document findings comprehensively and prepare detailed reports for further analysis and review.

Qualifications

• PhD degree (or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields.
• Experience in research for structural optimization is desirable.
• Strong computational analysis skills and proficiency in using laboratory equipment.
• Ability to work independently and as part of a multi-disciplinary team.

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between University of Cambridge, Nanyang Technological University and National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

Who are we looking for?

We are looking to fill research positions in maritime decarbonisation modelling:

1) In the first, Computational Fluid Dynamics simulations of ammonia and methanol engines will be performed, leading to a better understanding of the pollutant-generation processes. In addition to excelling in handling turbulent combustion theory Extensive, experience in combustion CFD is necessary.

2) In the second, systems modelling of alternative fuels and application to real-world data from ship operations will be performed, to compare possible decarbonisation scenarios in view of realistic ship operations. A thorough understanding of lifecycle analysis, energy system modelling, and Techno-economic analysis is needed. The ability to program in languages such as Python programming would be a plus.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-c4t-cn14. If you have any questions, please feel free to reach out to the HR team at [email protected].

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

The Gaunt group are looking for passionate and creative scientist to join our team as postdoctoral researchers in synthetic chemistry based in Cambridge Centre for Advanced Research and Education in Singapore, and closely integrated with the Gaunt group @ the University of Cambridge. The successful candidate will join the dynamic and collaborative research group of Professor Matthew Gaunt, working at the forefront of cutting-edge synthetic methodologies and their applications (https://www.thegauntgroup.com/).

The synthetic chemist at CARES will be supervised by Prof. Gaunt and will join a “Synthesis Team” of the larger SM3 project, which will involve close collaboration with Profs. Ming Joo KOH (NUS) and Shunsuke CHIBA (NTU). The “Synthesis Team” will be supported by the “AI team”, co-led by Profs. Philippe Schwaller (EPFL), Alexei Lapkin and Markus Kraft (Cambridge/CARES).

Position Overview: As a postdoctoral researcher, you will be involved in designing and developing catalytic activation modes that lead to new synthetic transformations. Synthetic chemists are uniquely placed to leverage catalytic systems to design reactions that control structure and function at a molecular level in all types of bioactive complex molecules. We are looking for experts in synthetic chemistry who are interested in taking on new challenges and exploiting their experience to explore new areas of catalyst-controlled reactivity that lead to an expansion of accessible chemical space.

What skills do you have?

We are looking for passionate and creative scientists to work as part of a collaborative team. Excellent organisational and interpersonal skills are required to ensure success in liaising with a large and diverse research team. Essential requirements include: Ph.D. in Organic Chemistry, Strong background in synthetic organic chemistry, and Demonstrated track record of high-quality research.

When is the position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemist-synthetic-chemistry-for-sm3-mg. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Matthew Gaunt ([email protected]).

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow with a PhD in a relevant field of Computer Science / Chemical Engineering / Chemistry, who combines strong ML/AI expertise with chemical knowledge.

What skills do you have?

The ideal candidate should be skilled in Python programming, experienced with LLMs and chemical reaction databases, and capable of handling reaction data analysis. They should be able to work across disciplines and have a track record of published research.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Close interaction with the home group of lead academic at EPFL

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-data-scientist-chemical-engineering-for-sm3-ps. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Professor Philippe Schwaller ([email protected]).

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, the Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between the University of Cambridge, Nanyang Technological University and the National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

The project:

In the context of the multi-partner project HYCOMBS (https://www.cares.cam.ac.uk/research/hycombs/), which is part of Singapore’s CREATE investment in Decarbonisation (https://www.nrf.gov.sg/files/Media_Release_CREATE_Decarbonisation_Challenge_with_ANNEX_A__B_final.pdf), a large number of positions have become available to research hydrogen and ammonia combustion.

The project is a collaborative effort between CARES, CNRS, NTU, NUS, NTNU (National Technical University of Norway) and Tohoku University (Japan). All the positions are held in Singapore and will normally last 2 years in the first instance, with the possibility to extend if funding is available. The successful candidate will be working under the academic supervision of one of the project’s partners depending on the particular skills and interests of the researcher. Short stays in Japan, France and Norway for working in the partner laboratories are envisaged for some of these positions. In the first instance, your application will be reviewed by CARES and re-directed to the appropriate institution and Primary Investigator.

CARES: www.cares.cam.ac.uk

Tohuku University: https://www.ifs.tohoku.ac.jp/eng/

CNRS: https://www.cnrsatcreate.cnrs.fr/

NTNU: https://www.ntnu.edu/ept

NUS: https://cde.nus.edu.sg/me/

NTU: https://www.ntu.edu.sg/mae

Who are we looking for?

We are seeking highly motivated combustion researchers to work in the following areas:

1) Kinetics: (i) Experiments with flow reactors and laminar flames. The successful applicant will be skilled in analytical combustion chemistry systems such as gas chromatography and laser detection; (ii) Development of detailed and reduced chemical mechanisms. Experience in combustion chemistry modelling is needed.

2) Laminar and turbulent flame fundamentals: (i) Experiments with laminar pulsed and turbulent swirl flames. Skills in flame rig design, laser diagnostics and optical methods for flames are needed. (ii) Modelling with combustion Computational Fluid Dynamics (DNS, LES), with experience in the fundamentals of turbulent combustion, CFD and massively-parallel computations.

3) High-pressure combustion: Experiments and simulations for reciprocating engines and gas turbines. For the experimental positions, the successful candidate must be skilled in optical diagnostics, engine combustion, swirl combustion, fluids handling and data analysis. For the modelling positions, experience in CFD of engines or gas turbine combustors is a prerequisite.

4) Detonations and ignition risk analysis with CFD. The position involves high-order CFD methods for capturing detonations and turbulent flow analysis for ignition. The successful candidate must be experienced with CFD.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D. The experimental positions need strict adherence to Health & Safety protocols and experience in developing experimental facilities at a professional level.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-hycombs. If you have any questions, please feel free to reach out to the HR team at [email protected].

Sequential has developed the world’s first at-home skin test, that deeply analyses your skin genetics and skin microbiome. Giving you a complete picture of what you’re born with (genetics) and the environment you are in (the microbiome). https://www.sequentialskin.com/.

We have a great opportunity for a laboratory technician role to join Sequential team.The core functions of this role are to assist in the daily operation of our Molecular Biology team. These functions include performing accurate molecular-based testing, develop and validate molecualr assays.

Key duties include:

• Assist in conducting laboratory experiments related to skin microbiome analysis, including sample collection, DNA extraction, and microbial culture.
• Support senior researchers in performing molecular techniques such as qPCR, DNA sequencing, and microbiome analysis.
• Help in managing and maintaining laboratory equipment and inventory.
• Contribute to data collection, organization, and initial analysis.
• Maintain accurate and detailed laboratory records.
• Provide support in preparing reports, documentation, and presentations.
• Stay updated on basic microbiome and molecular biology techniques.

Qualifications:

• Diploma or Bachelor’s degree in Microbiology, Biotechnology, Molecular Biology, or a related field.
• Familiarity with basic laboratory techniques such as pipetting, sample handling, and microbiology protocols.
• Strong organizational skills and attention to detail.
• Eagerness to learn and work in a team-oriented environment.
• Basic computer skills for data entry and record-keeping.

Experience

• Hands-on experience on performing DNA-based test, e.g. DNA extraction, PCR and qPCR.
• Practical knowledge of basic microbiological handling techniques is highly preferred.

Attributes

• Aseptic techniques to avoid the potential for contamination are a must.
• Good time management skills are a must, in order to keep up with the pace of a busy production environment.
• Proven ability to work efficiently without close supervision.
• Act with integrity at all times and maintain a high standard of work.
• Willing to learn and have a “can-do attitude”.
• Able to take initiative, and work in a fair and responsible way.
• Can communicate clearly and effectively across multiple teams.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assistant Professor Andrea Phua’s lab on a range of projects, primarily “ Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility”.

The main responsibilities of the position include:

• Performing confocal fluorescence microscopy experiments
• Conducting computational image processing and analyses
• Establishing and executing technical workflows for brain tissue processing in visualizing spatial protein and gene localization

Qualifications

The candidate should hold a Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biochemical Engineering or a related field.

Skills:

• Strong interest in neuroscience research, with motivation to pursue further academic training in the field
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Demonstrated track record in confocal fluorescence microscopy and associated super-resolution techniques
• Proficient in image processing techniques (e.g. deconvolution, denoising) to enhance image resolution and quality for visualization and quantification
• Experience in implementing machine learning techniques for automated detection and quantification of events in microscopy images is required
• Familiarity with immunofluorescence and RNA-FISH techniques
• A good foundation in biostatistics, with the ability to apply statistical methods to analyze experimental data will be necessary
• Some experience in microfluidic device fabrication will be a plus

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A researcher position is available to carry out world-class research on developing flexible electronic materials and devices. The research works include the preparation and characterization of flexible and devices, data analysis, preparation of technical reports and manuscripts, and supervising junior researchers.

Qualifications

The successful candidate is expected to possess a PhD degree in materials science and engineering or related discipline. The candidate should have solid knowledge and research achievements inpolymer electronics. He/she should have hand-on research experience in the preparation and characterization of conductive polymers or semiconductive polymers.

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative 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 Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

A Research Assistant position is available in the Single-Molecule Biophysics Lab at the Mechanobiology Institute. The Research Assistant will assist in the research of the team by contributing to building and maintaining magnetic tweezers instruments and training other group members to use them. He or she will also share the workload of single-molecule manipulation experiments. Primary responsibilities will include:

• Building, testing, and maintaining magnetic tweezers instrument
• Share workload on single-molecule studies of mechanosensing proteins

Qualifications

1. Minimal Bachelor’s degree, college background in Physics;
2. Capable of building fluorescence microscopes independently;
3. Extensive undergraduate research experience related microscope building and optics.
4. Skillful in Labview and MatLab programming.
5. Skillful in imaging analysis and imaging correlation analysis.
6. Experiences in DNA and protein biochemistry as well as single-molecule manipulation