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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for the Cardiovascular-Metabolic Diseases Translational Research Programme (CVMD TRP), Yong Loo Lin School of Medicine. CVMD TRP is a multidisciplinary team of scientists working towards mechanistic understanding of cardiovascular and metabolic diseases and development of novel therapeutic approaches. Appointment of the position will be on two-year contract with possible extension.

Job Description

We are looking for a research assistant with two main roles. The RA will assist with basic laboratory experiments including mouse phenotyping, protein biochemistry, molecular biology and cell culture in the laboratory of Dr. Roshni Singaraja in the CVDM TRP. At the same time, the RA will be working with CVMD TRP admin lead with a blend of administrative duties related to laboratory work and coordination of day-to-day operation at the bench.

Job Scope

Based on this broad job scope, we welcome applications from those with a certain level of exposure to lab-based research and awareness of the nature of administrative duties specified below. TRP will do due diligence to balance the workload between the two lines of duty accordingly and ensure work-life balance to the best of our abilities.

Responsibilities

1. Administrative Duties (CVMD TRP)

• Procurement of laboratory consumables
• Upkeep of instrument and consumables and other housekeeping matters
• Lab safety-related matters
• Assisting admin head with the organization and logistics of TRP-led events
• Other potential ad hoc duties by the TRP admin lead

Responsibilities

1. Research Duties (Singaraja lab)

• Biomedical experiments such as cell culture, PCR, western blot, immunohistochemical staining, etc.
• Mouse models and phenotyping
• Western immunoblotting and protein biochemistry (co-immunoprecipitation and affinity purification)
• Lab management

Qualifications

• Bachelors in Life Sciences with more than 2 years of work experience
• Excellent analytical, technical and problem-solving skills
• Experience in protein biochemistry
• Highly collaborative, and motivated to support the research team
• Excellent verbal and written communication skills in English
• Strong organizational skills and outstanding attention to detail

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on resolution of batch effects in antibody and microRNA profiling data for an esophageal squamous cell carcinoma (ESCC) project.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Familiarity with analysing omics datasets
• Understand the interplay between batch effects and missing values
• Knowledge of methods for resolving batch effects
• Ability to make robust analysis in the presence of batch effects

- Purchase Invoice accounting, payment to supplier

- Custodian of Cash and Bank Payments and Bank Reconciliation

- Customer Accounts review and receipt of Payment and Reconciliation

- Prepare GST information for quarterly GST report / filing

- Prepare supporting schedules, including month-end and year-end closing

- Prepare the regular annalysis report for COO

- Assist Audit process and preparation of Reports etc.

Singapore Advanced Research and Education Network (SingAREN)is Singapore's National Research and Education (R&E) Network and the sole provider of local and international networks dedicated to serving the R&E community in Singapore. SingAREN facilitates high-speed transfers of large datasets, both domestically and across international boundaries, for scientific research and enables advanced network technology demonstrations through its resilient links and high-speed fibre network.

The SingAREN Open Exchange (SOE) interconnects Singapore’s R&E community to the R&E networks in other countries, including Asia, Australia, Europe and the US. For more information, please visit singaren.net.sg

We invite you to join SingAREN’s dynamic team as:

Administration Executive

You shall play an integral role in supporting the Finance and Administrative functions of SingAREN. You will be involved in Finance, Membership & Contracts, HR, and other administrative activities of SingAREN.

Key Responsibilities

Finance

· Manage Accounts Receivable and Accounts Payable (billing to customers, follow up on customers’ payments, process payments to vendors)

· Perform bank reconciliation

· Maintain accurate records for billing and payments

· Process staff’s reimbursement claims

· Support preparation of management accounts, audits and regulatory reporting

· Monitor and renew status of financial assets

Administration

· Key liaison person for the full spectrum of activities relating to Membership and Service subscriptions, including new sign-ups and contract management.

· Minutes taking, scheduling and logistical support for meetings, including company meetings and visits by external parties.

· Plan, facilitate and coordinate company events and employee welfare

· Provide administrative support for SingAREN’s procurement activities

· Support Human Resource activities as assigned

· Oversee office operations such as replenishment of office supplies and pantry items

· Support ad-hoc projects and other duties as assigned by the Reporting Officer

Requirements

· Diploma in Business Administration, with at least 3 years of relevant work experience.

· Proficient in Microsoft Office, in particular Microsoft Excel

· Competent in working with financial data

· Attention to detail and high level of accuracy

· Excellent writing skills

· Excellent analytical and problem solving skills

· Self-motivated, mature, resourceful and adaptable

· Ability to work independently and as a team player

· Possess effective communication and interpersonal skills

This is a contract position on a renewable basis.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Job Requirements

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

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

CNegSAF PROJECT

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

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

Read more about the CNegSAF project here.

DESCRIPTION

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

EXPERIENCE & QUALIFICATIONS

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

FURTHER INFORMATION & CONTACT

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

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

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

Job Responsibilities

• Develop and align strategies to economic and national agenda (e.g. DxD Hub 3.0 in RIE2030 strategy), including strengthening linkages with internal and external stakeholders (e.g. MOH, clinical clusters in setting up satellite programmes).
• Translate overarching DxD Hub’s strategies into an action plan, coordinating across public sector and internal stakeholders and entities to achieve Enterprise’s desired outcomes.
• Set, monitor and report performance and tracking indicators for DxD Hub in alignment with National Platforms Co-ordinating Office and A*STAR Innovation and Enterprise (I&E) division and its operating units and in partnership with finance for financial targets.
• Establish and maintain corporate branding and public awareness of DxD Hub.
• Perform Divisional reporting and communications functions with stakeholders within A*STAR, governing and advisory boards, as well as other public agencies in the ecosystem.
• Review internal operational processes for possible improvements, in alignment with Enterprise and A*STAR best practices.
• Build capabilities of service platforms & drive realization of business outcome.
• Hires, motivates, develops, and retains key talent.
• Develop and deliver accurate reports of operational metrics to the CEO. Deliver monthly operation reports.

Requirements:

• Bachelor’s degree, preferably in Science or Engineering.
• More than 6 years of relevant working experience. Experience in strategic and/or corporate planning would be an advantage.
• Possess strong strategic and analytical thinking skills.
• Able to identify and contextualise stakeholder issues and manage them appropriately.
• Good communication (written and verbal) and interpersonal skills. Able to work in a team and guide the team to achieve their tasks. Able to work outside of organizational boundaries to engage external stakeholders as necessary
• Able to deliver results under tight timelines. Pro-active, quality conscious and results oriented.

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.

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, Nanyang Technological University and National University Singapore 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 the 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.

Who are we looking for?

We are seeking a highly skilled and motivated Air Quality Modeller to join HD4. Working collaboratively with a team of population health scientists, geospatial scientists, and data engineers the post holder will lead on building various emission inventories and air quality models for Singapore which incorporate the various air pollution sources in the country and allow for linkage with the geolocations of participants of the Singapore 100K cohort (SG100K), including some geo-located behavioural data. The models will also be set-up and used subsequent scenario modelling to estimate the impact of interventions on air quality and health and disentangle the various sources through source apportionment. This role requires a multi-skilled individual that can work independently and collaboratively in a multidisciplinary team environment.

Key Responsibilities:

• Collaboration: Work closely with researchers to understand the data needs of the programme and contribute to the design of scientifically robust and policy relevant models linking emission inventories to air quality models and spatially and temporally assigning exposures for human participants in subsequent epidemiological analyses and health impact assessments.
• Data, identification, production, and assembly: Collaborate with team and external scientists, national and local organizations, and conduct independent literature reviews to produce and synthesise the required data sources with high temporal and spatial resolution and to link data across various sources.
• Data verification validation: Identify and use various primary collected data and published secondary data from peer-reviewed and grey literature to verify and validate produced emission and air quality model outputs. Ensure model robustness through cross-checking, calibration, and validation through multiple iterations.
• Model building: Build operational and validated air quality models and link their outputs to human participants in static (e.g. at home address) and dynamic exposure (assigning exposures to other locations outside the residential address only e.g. while travelling) assignment for diverse population groups.
• Support: Provide technical support and training to researchers.
• Documentation: Create and maintain comprehensive documentation for model development, verification, and validation. Support project reporting and paper writing and submission to peer-reviewed journals.
• Innovation: Stay updated with the latest advancements in emissions and air quality modelling, and exposure assignment, to incorporate new technologies and methodologies.
• What skills will you need?
• Education: PhD degree in a relevant field.
• Experience: Proven experience in emissions and air quality modelling and validation.
• Technical Skills:

1. Expertise in emissions modelling
2. Expertise in air quality modelling and air pollution dispersion models such as ADMS-Urban and assigning exposures to other locations outside the residential address only
3. Expertise in geographical exposure assignment including for data with high temporal and spatial resolution
4. Practical experience of model building, verification, calibration, and validation
5. Understanding of health effects and health impact assessment methods
6. Proficiency with spatial analysis tools, databases, and libraries (e.g., ArcGIS, QGIS, PostGIS) and programming languages (e.g., Python, R) for GIS applications
7. Proficiency in programming languages such as R, more advanced coding e.g. C++ or Java would be an advantage
8. Knowledge of and interest in the study of air pollution’s health effects and its methodological challenges

• Communication: Excellent verbal and written communication skills in English, with the ability to convey complex scientific concepts to both technical and non-technical audiences.
• Research Methodology & Critical Thinking: Strong foundation in research methodology, critical thinking, and problem-solving abilities
• Proficiency in Office & Collaboration Tools: Strong skills in Microsoft Office applications (e.g., Excel, Word, PowerPoint) and familiarity with collaboration tools (e.g., Teams, Slack, SharePoint, GitHub).
• Independent & Collaborative Work: Ability to work independently on complex research tasks while effectively collaborating with multidisciplinary teams across multiple institutions and projects.
• Ethical Research Practices: Commitment to maintaining high ethical standards in research, including data integrity and responsible conduct.

Preferred Qualifications:

• Publication & Presentation Experience: Experience in publishing research in peer-reviewed journals and presenting findings at conferences or academic settings.
• Database Management: Experience with database management systems and data warehousing, including the ability to handle large datasets.
• Knowledge of software development methodologies and best practices.
• Familiarity with remote sensing and GPS technologies.
• Experience working with sensitive (e.g., personally identifiable) data.
• Experience or exposure to environmental epidemiological studies.

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.employmenthero.com/jobs/cambridge-cares-air-quality-modeller-ai-researcher-for-hd4-hk-jw-7h79g.

If you have any questions, please feel free to reach out to the HR team at [email protected].

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

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, Nanyang Technological University and National University Singapore 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.

Who are we looking for?

We are seeking a highly skilled and motivated Transport Modeller to join our project, HD4. Working collaboratively with a team of population health scientists, geospatial scientists, and data engineers, the post holder will lead on building an agent-based simulation model for Singapore. This role requires a multi-skilled individual that can work collaboratively in a multidisciplinary team environment.

Key Responsibilities:

· Collaboration: Work closely with researchers to understand the data needs of the programme and contribute to the design of scientifically robust and policy relevant models linking transport, the built environment, and health outcomes

· Data synthesis: Collaborate with the data engineer and geo-spatial scientists to run simulations within a temporally and spatially detailed network

· Model building: Build operational agent based behavioural models covering vehicle ownership, trip generation, mode choice, destination choice, and route choice for diverse population groups.

· Validation: Ensure model robustness through checking, calibration, and validation.

· Support: Provide technical support and training to researchers.

· Documentation: Create and maintain comprehensive documentation for model development. Support project reporting.

· Innovation: Stay updated with the latest advancements in transport modelling to incorporate new technologies and methodologies.

What skills will you need?

· Education: PhD degree in a relevant field.

· Experience: Proven experience in agent-based transport modelling.

· Skills:

1. Expertise in econometric travel behaviour modelling
2. Practical experience of simulation model building, calibration, and validation
3. Understanding of land use transport interaction models
4. Experience with agent-based network assignment models such as MATSim
5. Proficiency with spatial analysis tools, databases, and libraries (e.g., PostGIS) and programming languages (e.g., Python, R) for GIS applications.
6. Proficiency in programming languages such as Java.
7. Interest in built environment influences on health behaviours and exposures and health disparities
8. Experience of working with at least one health related pathway e.g. air pollution, physical activity, greenspace, noise, or diet

· Communication: Excellent oral and verbal communication skills.

· Teamwork: Ability to work collaboratively in a multidisciplinary team environment.

· Preferred Qualifications:

1. Experience with version control systems (e.g., Git).
2. Knowledge of software development methodologies and best practices.
3. Familiarity with remote sensing and GPS technologies.
4. Experience working with sensitive (e.g., personally identifiable) data.

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-transport-modeller-ai-researcher-for-hd4-jw. If you have any questions, please feel free to reach out to the HR team at [email protected].

Job duties and responsibilities :

We invite brilliant minds in computer science to join us at the cutting-edge of cancer genomics research, harnessing the power of artificial intelligence or classical algorithms. Your job will involve either the development of new algorithms or deep learning models focusing on understanding cancer genomes. The focus will be on de novo genome assembly methods for reconstructing cancer genomes or developing new generative RNA/DNA/epigenome/epitranscriptome foundation models.

The duties include working with PhD students and ROs, helping write grant proposals, and managing projects.

Job Requirements :

Essential experience and skills:

• You have a PhD in computer science, math of physics
• You are experienced in deep learning or classical algorithms
• You are experienced in Pytorch for deep learning or C/C++ or Rust for classical algorithms
• You have an active interest in understanding the biology
• At least one first-author publication or preprint from your PhD and/or MSc work.

Desirable experience and skills:

• Experience with bioinformatics methods and tools for (a) variant calling, and/or (b) de novo assembly and/or (c) long read sequencing analysis;
• Proficiency in Python, and genomics and machine learning libraries therein.
• Keen interest in programming, algorithm development, mathematics, complexity, and puzzles.
• Two or more first-author publications and/or preprints from your PhD and/or MSc work.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Cancer Science Institute of Singapore (CSI Singapore) Postdoctoral Fellowship seeks outstanding early-stage postdoctoral fellows who are interested to develop their career as independent, tenure-track faculty. The awardees will be hosted within established research labs at CSI Singapore to develop their independent research programs. They will receive a competitive base salary of up to SGD$93,000 per year (not including benefits such as CPF, bonus, medical, insurance) with an annual research grant of up to SGD$25,000 per year and equipment grant of SGD$5,000. Access to state-of-the-art core facilities will be provided. The fellowship funding period is up to three years.

Qualifications

• Open to all nationalities.
• Soon-to-be PhD graduates or have graduated within four years from their respective PhD programs at the time of application. Exceptions may be considered on a case-by-case basis.
• Received at least two years of graduate training outside of Singapore (either overseas PhD training or postdoctoral training)
• Work in any discipline of cancer research
• Excellent track record of research accomplishments
• Keen to embark on exciting and innovative projects in experimental and/or bioinformatics laboratories
• Aspire to be leaders in biomedical research
• Be available to take up position within 6 months of notice of award

Application

Bi-annual review with two submission deadlines – 30th April and 31st October

Please consolidate the following documents as one PDF document and attach it in your application.

1. Cover letter,
2. Curriculum Vitae (CV) including full publication list,
3. Research Proposal (two pages, excluding references) summarising the background, significance, aims and methods of the proposed research,
4. Personal Statement (one page) about research interest, career aspirations and motivations for applying for Fellowship, and
5. Names and contact information of 2 – 3 references (including PhD supervisor)

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 PIs Associate Professor Duane Loh and Assistant Professor Tan Yongzi on computational phase retrieval for cryo-electron microscopy of floppy, low-contrast RNA molecules.

The main responsibilities of the position include:

1. Develop realistic forward model to simulate noisy cryo-electron micrographs from RNA biomolecules.
2. Perform computational phase retrieval on 2D micrographs using physics-informed neural networks.
3. Infer structural variability of floppy biomolecules from computationally phase-retrieved micrographs.

Qualifications

Ph.D. in physics-related disciplines.

Experience:

• Fluent in high-performance scientific computing and imaging in python, and comfortable in the Unix environment.

Skills:

• Strong foundation in computational optics, deep learning, high performance computing, and structural biology in cryo-EM

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

This position focuses on investigating the mechanism of pipeline leakage induced ground deformation under heavy rainfall and proposing intelligent control methods.

The scope also requires the selected Research Engineer to

• Investigate the mechanism of pipeline leakage induced ground responses under heavy rainfall.
• Propose intelligent control method for preventing sinkholes.

Job Requirements

• Possess at least a bachelor/master’s degree in relevant field,
• Demonstrate a research or professional background aligned with the development of the physical model.
• Exhibit proficiency in coupled multi-physics modelling.
• Display strong teamwork capabilities and effective communication skills.
• Open to fixed-term contract
• Please note that 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 National University of Singapore (NUS) Yong Loo Lin School of Medicine is recruiting talented scholars at multiple levels: Post-doctoral Fellows, Senior Research Fellows and Research Scientists to work in the Global Centre of Asian Women’s Health (www.glownus.org) and the NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (www.acrle.com). Our interdisciplinary program is designed to provide experiences that foster scholars’ professional development by working closely with national and international experts, and equip them with independent research skills in multi-disciplinary areas, such as nutrition, reproductive health, maternal and child health, endocrinology, behaviour intervention, biostatistics and epidemiology.

Successful candidates are expected to 1) conduct original research for publications based on data from several large cohort studies in the United States and in Singapore, such as the U.S. National Institute of Child and Human Development (NICHD) Fetal Growth Studies, Diabetes & Women’s Health Study (www.dwhstudy.org), Growing Up in Singapore Towards healthy Outcomes (GUSTO), and the Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S_PRESTO); 2) present at scientific conferences; 3) contribute to competitive grant applications; and 4) mentor junior researchers within a multi-disciplinary research team. Successful candidates will also have the opportunity to develop their independent research initiatives using the wealth of data from the school and collaborative national and international institutes.

Qualifications

Candidates with a doctoral degree in epidemiology, nutrition, or a closely related field, or those with a medical degree with some experience or advanced graduate training in epidemiology, population health, or biostatistics are invited to apply. Preference will be given to candidates with strong research experience in any of, but not limited to, the following areas.

• Diabetes, obesity, and cardiometabolic health
• Nutrition, lifestyle and mental wellness
• Omics research, especially on metabolomics and microbiome
• Behavior intervention
• Reproductive health, maternal and child health
• Aging and neuro-cognitive function
• Women’s health
• Developmental origins of disease
• Epidemiological methods

Skills

Preference will also be given to candidates with

• Strong analytical or quantitative skills
• Good track record of publications in peer-reviewed journals
• Excellent communication skills in English
• Experience in statistical software (e.g., STATA, SAS, R)
• Experience in grant/proposal writing

The position provides health insurance. The salary is commensurate with training and relevant research experience. Multiple positions are available and will remain open until qualified applicants are found. First round of application review will start on November 1st, 2023.

Application

Applicants should email: 1) a curriculum vitae; 2) a statement of research interests; 3) three letters of reference; and 4) transcripts for undergraduate and graduate degrees. Note: Official transcripts may be requested if selected for an interview. Applicants need not have completed their doctoral training prior to applying, although training must be completed prior to the start of the position (in the email subject, please clearly state “Application-research fellow/scientist”)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow is going to investigate the design of novel database systems on modern hardware (e.g., GPUs and/or Non-volatile memory) and data science applications.

Only shortlisted applicants will be notified.

Qualifications

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Strong systems development skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The appointed Research Assistant will be part of the Asia Competitiveness Institute (ACI) research team, under ACI Director, Professor Paul Cheung, to work on a number of research projects related to Indonesia.

The candidates should have experience in policy analysis and are familiar with socio-economic development of Indonesia.

Qualifications

• Bachelor/Masters degree in Economics, Social Sciences, or equivalent
• Familiar with socioeconomic development of Indonesia
• Familiar with working on the large economic datasets for statistical analysis
• Demonstrate good organisational and analytical skills
• Excellent verbal and written English
• Candidate must be able to research information sources that are in Bahasa Indonesia
• Able to multitask and manage tight timelines
• Able to work in a team as well as independently. Must be highly self-motivated
• Able to commit to at least 1 year of service

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 highly motivated candidate with a strong research background in computational catalysis, particularly Density Functional Theory (DFT), Molecular Dynamics (MD), Machine Learning (ML) and be able to lead their own research while collaborating with other team members.

The successful candidate will work with Asst. Prof. Pengfei Ou on Computational Catalysis under a project on "Accelerated Discovery of Catalytic Materials" to contribute to the discovery of new catalytic materials and next-generation catalysts.

Qualifications / Discipline:

- A PhD in Chemistry, Materials Science and Engineering, Chemical Engineering, Physics, or a closely related field.

Skills:
- Preference will be given to candidates with a strong research background in computational catalysis, computational materials science, AI/ML, DFT calculations, and (ab initio) MD simulations.
- Machine learning experience and a strong proficiency in Python programming and data 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

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should also have some research experiences.

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. Han Vinh Huynh and Assoc. Prof. Utkur Mirsaidov on the exploration of methods for selective etching in the pursuit of improving the fabrication of interconnects in semiconductors. To achieve this a detailed understanding of the (redox) chemistry of various current etching methodologies is crucial. Synthetic skills and knowledge in molecular chemistry are advantageous. In addition, s/he will assist the PI in overseeing daily operations of the lab and training junior lab members.

Qualifications / Discipline:

- Ph.D. or equivalent degree in Chemistry or Materials Science

Skills:
- Synthetic skills in organic and inorganic chemistry

Experience:
- Experience in molecular and surface science including hands-on experience in various analytical techniques (NMR, MS, TEM, SEM, XPS, etc.)

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

Job Requirements:

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

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

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

HYCOMBS Project is seeking a highly motivated and talented Research Fellow to join the project, a research initiative focused on advancing combustion science and technology for gas turbines and internal combustion engines in Singapore.

The successful candidate will be based in Singapore and contribute to Work Package 2.1, “Laminar H2/NH3 flames”, led by Dr. Ducruix and Dr. Minesi.

HYCOMBS PROJECT

HYCOMBS: Hydrogen and Ammonia Combustion in Singapore

In the future, Singapore may be importing renewable energy in the form of hydrogen (H2) or ammonia (NH3). These zero-carbon fuels will require the development of new gas turbines (GTs) and internal combustion engines (ICE) used in power generation, aviation, and maritime propulsion.

This project focuses on the combustion fundamentals of hydrogen, ammonia, their blends, and their blends with hydrocarbon fuels. The knowledge acquired in HYCOMBS will enable the penetration of zero-carbon fuels in the Singapore energy system and this will benefit Singaporean industries and residents.

Read more about the HYCOMBS project here.

DESCRIPTION

The HYCOMB project aims to develop a deeper understanding of hydrogen/ammonia combustion phenomena and improve the efficiency, stability, and environmental sustainability of gas turbines and internal combustion engines. As a Postdoctoral Researcher in WP2.1, you will play a key role in deploying advanced diagnostics to study laminar H2/NH3 flames, a crucial step towards understanding combustion instability and pollutant formation.

Responsibilities

• Design, develop, and operate a burner for laminar flame experiments, compatible with high-frequency diagnostics
• Conduct experiments on steady and pulsated laminar H2/NH3 flames using spontaneous emission of radicals (OH*, NH*) and laser absorption spectroscopy of stable species (NH3, H2O, N2O)
• Modulate injection conditions to induce controlled fluctuations of velocity, which will drive the oscillation of heat release, pollutant formation, and other quantities of interest
• Measure local flow conditions using Particle Image Velocimetry (PIV) to correlate flame behavior with flow strain
• Collaborate with other partners to implement laser absorption spectroscopy in other rigs and validate kinetic schemes and simulations (WP1)
• Contribute to the development of laser absorption spectroscopy diagnostics for online detection of combustion efficiency, ammonia slip, and N2O pollutant emissions

EXPERIENCE & QUALIFICATIONS

Requirements

• Ph.D. in Combustion Science, Physics, Chemistry, or a related field
• Strong background in experimental combustion, flame diagnostics, and data analysis
• Experience with optical diagnostics (ideally laser-induced fluorescence and absorption spectroscopy, but not required)
• Excellent communication and teamwork skills, with the ability to collaborate with international partners
• Fluency in English (written and spoken)

Desirable Qualifications

• Knowledge of combustion kinetics and modeling
• Experience with particle image velocimetry (PIV) or other flow measurement techniques

FURTHER INFORMATION & CONTACT

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

• A 3-year postdoctoral research position
• Visit in laboratoire EM2C (France) for a training on optical diagnostics
• The opportunity to work on a cutting-edge, interdisciplinary project with international partners
• Access to state-of-the-art experimental facilities and diagnostics in Singapore
• Collaboration with leading researchers in the field of combustion science
• Opportunities for professional growth, networking, and publication in top-tier journals

Workplace address: The applicant will be a CNRS@CREATE appointee (CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602), and work on CREATE Campus.

To apply, please submit your CV, a cover letter outlining your research experience, and contact information for two academic references. Applications will be reviewed until the position is filled: [email protected] and [email protected]

About Us:

The Bioinformatics Institute at the Agency of Science, Technology and Research is at the forefront of cutting-edge research in the field of bioinformatics, contributing to advancements in drug discovery, clinical diagnostics and therapeutics, biological knowledge creation and beyond. We are seeking a dynamic and experienced Programme Manager to join our team to lead the execution of research programmes across multiple institutes and external entities.

About This Role:

As a Programme Manager at the Bioinformatics Institute within the Agency of Science, Technology and Research, you will play a crucial role in driving the success of our research programmes. This dynamic position requires a blend of strategic thinking, effective communication, and project management skills to ensure the seamless scoping, alignment and execution of cutting-edge projects.

You will be at the centre of action of interdisciplinary collaborations, working closely with research teams, external partners, and stakeholders to advance the field of bioinformatics. This role offers a unique opportunity to contribute to groundbreaking scientific discoveries while navigating the challenges of managing diverse programmes. If you are a motivated and skilled individual with a passion for scientific innovations, this role provides an exciting platform to shape the future of bioinformatics research.

Key Responsibilities:

Programme Ownership:

• Take ownership of research programmes together with the scientific lead, overseeing the entire lifecycle from project formation to execution.
• Collaborate with research teams in the early phases to assist in proposal scoping and development, funding acquisition, and project initiation.

Project Management:

• Utilize strong project management skills to ensure projects are delivered on time, on target and within resources.
• Develop and implement project plans, track progress, and proactively identify and mitigate risks, under framework agreements.
• Work closely with scientific lead to pitch to management and gain required approvals for contract execution and funding.
• Working with other project managers in the programme to coordinate execution and reporting.
• Manage multiple programmes concurrently, each at different stages of development, with varying levels of attention required.
• Prioritize and allocate resources efficiently to meet programme objectives

Stakeholder Management:

• Engage with internal and external stakeholders to build strong relationships and ensure alignment with programme goals throughout programme lifecycle.
• Effectively communicate project updates, milestones, and potential challenges to stakeholders.

Conflict Management:

• Demonstrate strong conflict resolution skills to address issues promptly and maintain positive team dynamics.
• Navigate challenges tactfully while keeping the focus on programme objectives.

Strategic Partnering and Business Development:

• Work with the Business Development team to assemble Industrial Stakeholders and Performers across Research Institutes (RI"s) to build a cohesive team for the execution of the programme.
• Supporting on Strategy and Business Development activities when called upon.

Additional Considerations:

• Collaborative Environment: Foster a collaborative and inclusive work environment, promoting teamwork and knowledge-sharing across diverse research and project teams.
• Adaptability: Demonstrate flexibility in adapting to the evolving needs of research programmes and the institute, contributing to an agile and responsive work culture.
• Continuous Learning: Stay abreast of emerging trends and advancements in bioinformatics and related fields, strategic directions and programmes in A*STAR, integrating new knowledge into programme strategies.
• Budget Oversight: Collaborate with finance teams to monitor programme budgets, ensuring financial sustainability and sufficient resource allocation.
• Independence and Motivation: Self-motivated individual capable of driving projects and programmes independently.
• Strive for Excellence: Uphold high quality of performance, and taking initiatives to identify opportunities for programme improvement and innovation.
• Resourcefulness: Ability to get guidance and support from other job functions and divisions in A*STAR to be position the programme, resolve bottlenecks and ensure smooth execution of the programme.

Qualifications:

• PhD or other advanced degree in bioinformatics, biomedical engineering, life sciences or relevant scientific or management field.
• Proven success in programme and project management, preferably in a research or academic setting. PMP certification is a preferred.
• Strong understanding of bioinformatics and life sciences.
• Excellent written and verbal communication skills.
• Excellent interpersonal skills
• Demonstrated ability to manage multiple stakeholders and conflicting priorities.
• Proficiency in conflict resolution and problem-solving.

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:

The Bioinformatics Institute at the Agency of Science, Technology and Research is at the forefront of cutting-edge research in the field of bioinformatics, contributing to advancements in drug discovery, clinical diagnostics and therapeutics, biological knowledge creation and beyond. We are seeking a dynamic and experienced Programme Manager to join our team to lead the execution of research programmes across multiple institutes and external entities.

About This Role:

As a Programme Manager at the Bioinformatics Institute within the Agency of Science, Technology and Research, you will play a crucial role in driving the success of our research programmes. This dynamic position requires a blend of strategic thinking, effective communication, and project management skills to ensure the seamless scoping, alignment and execution of cutting-edge projects.

You will be at the centre of action of interdisciplinary collaborations, working closely with research teams, external partners, and stakeholders to advance the field of bioinformatics. This role offers a unique opportunity to contribute to groundbreaking scientific discoveries while navigating the challenges of managing diverse programmes. If you are a motivated and skilled individual with a passion for scientific innovations, this role provides an exciting platform to shape the future of bioinformatics research.

Key Responsibilities:

Programme Ownership:

• Take ownership of research programmes together with the scientific lead, overseeing the entire lifecycle from project formation to execution.
• Collaborate with research teams in the early phases to assist in proposal scoping and development, funding acquisition, and project initiation.

Project Management:

• Utilize strong project management skills to ensure projects are delivered on time, on target and within resources.
• Develop and implement project plans, track progress, and proactively identify and mitigate risks, under framework agreements.
• Work closely with scientific lead to pitch to management and gain required approvals for contract execution and funding.
• Working with other project managers in the programme to coordinate execution and reporting.
• Manage multiple programmes concurrently, each at different stages of development, with varying levels of attention required.
• Prioritize and allocate resources efficiently to meet programme objectives

Stakeholder Management:

• Engage with internal and external stakeholders to build strong relationships and ensure alignment with programme goals throughout programme lifecycle.
• Effectively communicate project updates, milestones, and potential challenges to stakeholders.

Conflict Management:

• Demonstrate strong conflict resolution skills to address issues promptly and maintain positive team dynamics.
• Navigate challenges tactfully while keeping the focus on programme objectives.

Strategic Partnering and Business Development:

• Work with the Business Development team to assemble Industrial Stakeholders and Performers across Research Institutes (RI"s) to build a cohesive team for the execution of the programme.
• Supporting on Strategy and Business Development activities when called upon.

Additional Considerations:

• Collaborative Environment: Foster a collaborative and inclusive work environment, promoting teamwork and knowledge-sharing across diverse research and project teams.
• Adaptability: Demonstrate flexibility in adapting to the evolving needs of research programmes and the institute, contributing to an agile and responsive work culture.
• Continuous Learning: Stay abreast of emerging trends and advancements in bioinformatics and related fields, strategic directions and programmes in A*STAR, integrating new knowledge into programme strategies.
• Budget Oversight: Collaborate with finance teams to monitor programme budgets, ensuring financial sustainability and sufficient resource allocation.
• Independence and Motivation: Self-motivated individual capable of driving projects and programmes independently.
• Strive for Excellence: Uphold high quality of performance, and taking initiatives to identify opportunities for programme improvement and innovation.
• Resourcefulness: Ability to get guidance and support from other job functions and divisions in A*STAR to be position the programme, resolve bottlenecks and ensure smooth execution of the programme.

Qualifications:

• PhD or other advanced degree in bioinformatics, biomedical engineering, life sciences or relevant scientific or management field with at least 5 years of relevant experience.
• Proven success in programme and project management, preferably in a research or academic setting. PMP certification is a preferred.
• Strong understanding of bioinformatics and life sciences.
• Excellent written and verbal communication skills.
• Excellent interpersonal skills
• Demonstrated ability to manage multiple stakeholders and conflicting priorities.
• Proficiency in conflict resolution and problem-solving.

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.