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.

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.

About AIDF

The Asian Institute of Digital Finance (AIDF) is a university-level institute at the National University of Singapore (NUS), jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.

The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.

Position Overview

An exciting opportunity exists to join NUS-AIDF as a Research Assistant under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.

Career Benefits:

• Gain a detailed understanding of a cutting-edge quantitative credit risk model.
• Further your knowledge in quantitative modeling and financial analysis.
• Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
• Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
• Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.

Qualifications

• Fundamental quantitative skills, preferably those obtained during a bachelor’s degree in mathematics, computer science, economics, finance etc.
• Good programming skills (Julia, Python, Matlab, SQL, etc.) or financial fundamentals are ideal
• Good team player with strong sense of responsibility and strong communication skills
• Highly self-motivated
• Willing to learn new technical skills

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 position in maritime decarbonisation modelling:

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.

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?

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 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]).

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

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 one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Qualifications

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

Job Responsibilities:

• Assist in the execution phase of grant and industry projects, including monitoring project milestones, risks, costs, and schedules.
• Collaborate with various functions within the organization to resolve roadblocks and ensure the programme and projects deliver key outcomes within the allocated time and budget.
• Update and maintain the internal research project database, and external engagement tracking.
• Support the Quantum Programme Office (QPO) in managing and ensuring proper and updated records of project variations, grant proposals, publications, patents, and technology disclosures.
• Administer overseas travel arrangements, including checking travel plans, budgets, and ensuring proper documentation and approval in compliance with existing policies.
• Assist the team in organizing technology road-mapping and scientific workshops/symposiums.
• Assist the QPO team in day-to-day operations and administrative duties.

Job Requirements:

• Degree in Science, Technology, or Engineering.
• Proficiency in relevant software and tools such as MS Excel, MS Project, and PowerBI preferred.
• Strong attention to detail.
• Ability to manage multiple tasks and projects simultaneously.
• Excellent problem-solving, analytical, and systems thinking abilities.
• Resourceful and independent.
• Ability to work collaboratively with internal and external stakeholders.
• Strong written and verbal communication skills.
• Familiarity with quantum technologies and their applications is advantageous.
• Minimum of 5 years of experience working in the public R&D sector

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research 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 one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Computing Systems
• Programming Languages & Software Engineering

Job Requirements

• A Master’s degree in Computing; and
• Experience in research of LLM inference and training acceleration systems.
• Experience in paper and publications in LLM.

Job Responsibilities:

• Assist in the execution phase of grant and industry projects, including monitoring project milestones, risks, costs, and schedules.
• Collaborate with various functions within the organization to resolve roadblocks and ensure the programme and projects deliver key outcomes within the allocated time and budget.
• Update and maintain the internal research project database, and external engagement tracking.
• Support the Quantum Programme Office (QPO) in managing and ensuring proper and updated records of project variations, grant proposals, publications, patents, and technology disclosures.
• Administer overseas travel arrangements, including checking travel plans, budgets, and ensuring proper documentation and approval in compliance with existing policies.
• Assist the team in organizing technology road-mapping and scientific workshops/symposiums.
• Assist the QPO team in day-to-day operations and administrative duties.

Job Requirements:

• Degree in Science, Technology, or Engineering.
• Proficiency in relevant software and tools such as MS Excel, MS Project, and PowerBI preferred.
• Strong attention to detail.
• Ability to manage multiple tasks and projects simultaneously.
• Excellent problem-solving, analytical, and systems thinking abilities.
• Resourceful and independent.
• Ability to work collaboratively with internal and external stakeholders.
• Strong written and verbal communication skills.
• Familiarity with quantum technologies and their applications is advantageous.
• 1-2 years of experience working in the public R&D sector preferred

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

1. Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)
2. Provide effective updates to the stakeholder on the work done
3. Liaise with the relevant departments for logistic and finances related matters
4. Document and tabulate financial payments received and / or made to support the study
5. Up keeping study materials including procurement and inventory tracking.
6. Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date
7. Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

1. Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

1. Able to work independently and meticulously
2. Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.
3. Possess strong interpersonal skills
4. Flexibility to work on weekends (if needed. i.e for outreach event)
5. Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at [email protected]

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://careers.nus.edu.sg/job/Visiting-Professor%2C-Computer-Science/27368-en_GB/?st=87BC6EC9F5082194874A6D66565C7BBAE2D68F47

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:

ASIA RESEARCH INSTITUTE (ARI)

Postdoctoral Fellowship in Asia Research Institute (Science, Technology and Society Research Cluster)

The Asia Research Institute invites outstanding, active researchers from around the world to work on an important piece of Asia-centred research in the social sciences or humanities.

Apart from the quality of the research proposal, and the applicant’s publication track record, positions will be awarded on the basis of the relationship of their research topic to the identified priorities and themes of the cluster.

The Science, Technology, and Society (STS) Cluster concentrates on the relationship between those three domains in and beyond Asian settings, and their intersections with the environment in the past, present and future.

The cluster currently brings together a diverse, interdisciplinary group of researchers who work on the following research themes:

i) climate change and carbon governance;

ii) planetary health and ‘Asian medicines’;

iii) energy transitions, infrastructure and space;

iv) critical minerals.

The cluster welcomes diversity in methodological approaches, fosters interdisciplinary practices and encourages collaborative research projects. In the current round of recruitment, we are particularly interested in hiring a postdoctoral research fellow with research interests at the intersection of STS and environmental humanities.

Given that a growing proportion of ARI’s funding is derived from external sources, strong preference will be given to candidates with potential to contribute to building competitive research grant applications.

JOB DESCRIPTION

The Researcher will work under the supervision of the Cluster Leader and take the lead in duties such as organising workshops and conferences, participating in current cluster projects, and carrying out new projects (including applying for grant funding). Administrative duties and committee work will be assigned and form part of the position.

JOB REQUIREMENTS

1. Candidates must have fulfilled all requirements of securing a PhD from a reputable university at the time they take up their appointment at ARI.
2. If you are still a PhD candidate at the point of application, you may also apply provided that you are confirmed for graduation by your commencement date at ARI. An official letter from the Registrar’s Office of your university will be required to confirm the award of your PhD degree.
3. Candidates must have an existing track record of publication, and plausible plans for future high-quality publications to be completed at ARI.

TERMS OF APPOINTMENT

1. The appointment will be tenable for a period of two years.
2. Applications are invited for commencement in: Aug/Sept 2024 or Dec 2024/Jan 2025.
3. The Postdoctoral Fellowship remuneration is S$6,000 per month. This all-in sum is inclusive of stipends for housing and living expenses.
4. Please note that University Housing will not be provided, and appointees are expected to make their own private accommodation arrangements.
5. Travel assistance will be provided to eligible candidates.
6. Singapore Citizens and Permanent Residents are eligible for provident fund benefits.
7. All salary and benefits-in-kind are subjected to taxation in accordance with local tax laws.
8. There is support for research fieldwork and conference attendance (on application and subject to approval).
9. Research staff at ARI are expected to participate actively in the life of the Institute, including attendance at seminars, conferences and ARI social events.
10. Other benefits that the University provides and information about working at NUS and living in Singapore are available at Why Join Us. Terms and conditions, according to university guidelines, are subject to change without prior notice.

APPLICATION PROCESS

Please submit the following documents in one (combined) PDF and attach it under the CV column in the system:

1. Curriculum Vitae.
2. Synopsis of the proposed research project (maximum of 5 single-spaced pages).
3. At least one short sample of published work, preferably in English.
4. Please indicate the name and contact details of at least 2 referees in your application.

Closing date for applications is 26 July 2024. Please note that no extension will be given.

ADDITIONAL IMPORTANT INFORMATION

1. Only fully completed applications will be considered.
2. All materials including research proposal (including if any, initial ideas for a research grant application) and CV must be submitted through our online application system.
3. As we receive high volume of applications, we strongly encourage you to apply well before the closing date.
4. We regret that only successful candidates will be notified (via email). Candidates who do not hear from the University within 10 weeks after the closing date may assume the position has been filled.
5. Any offer of appointment is conditional on approval by the National University of Singapore (NUS) and the Ministry of Manpower granting you an Employment Pass or other applicable work passes.

Contact list for further enquiries

For research related queries, do contact (via email) the Cluster Leader of the STS Cluster directly.

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.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Barbaros Oezyilmaz at the Graphene Lab, National University of Singapore.

The main responsibilities of the position include:

1. Project and Grant Management: Support the Principal Investigator (PI) in tracking budget utilization, manpower allocation, and procurement to ensure projects are on track. Oversee research and industry projects, including planning, compliance, and reporting. Assist with grant proposal preparation, submission, and tracking.

2. Business Development: Develop and evaluate business proposals, negotiate industry collaboration agreements, and actively foster partnerships to drive research applications and commercialization.

3. Industry and Academic Engagement: Serve as a coordinator for industry and academic discussions, facilitate collaborative meetings, and take an active role in engaging with industry stakeholders to build and sustain strategic partnerships.

4. IP Portfolio Management: Manage the lab's intellectual property portfolio, track inventions, support patent applications, and liaise with the university’s technology transfer office.

Qualifications/Experience

• Qualifications / Discipline: A Master’s degree or Bachelor’s degree in a relevant field such as:

- Engineering (e.g., Materials Science, Mechanical, or Electrical Engineering)

- Science (e.g., Physics, Chemistry, or a related discipline)

- Business Administration or Management (especially if emphasizing industry collaboration and business development)

• Experience:

1. At least 2–3 years of experience in research project management, business development, or related roles.

2. Familiarity with managing grants, budgets, and compliance with funding regulations.

3. Experience in academic or industry collaboration settings.

4. Fluent in spoken and written English. Experience in Business English will be an advantage.

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

• Act as a Finance Business Partner to the designated Research Centre/ Institutes within the cluster and provide strategic support to its management and budget holders by proactively monitoring financial activities and financial reporting specific to the Institutes, and clearly communicating results of the analyses.
• As a team leader supporting Cluster lead in leading and managing the research finance cluster.
• Provide financial and business advisories to the Institutes that are critical to the decision-making purposes and ensure compliance with University’s financial policies and procedures, and funding agencies’ terms & conditions / guidelines.
• Foster and maintain a regular working relationship within the Institutes, central shared services teams, and other functional partners.

Duties & Responsibilities:

Financial Management and Oversight

• Lead a team of 3-4 staff (direct and indirect), where applicable
• Ensure smooth day-to-day financial operations of the Research Centre (RCE) / Institutes (RICs) within the cluster, including exercising financial control over budget expenditure, revenue collection and financial reporting.
• Drive the annual budget and forecast exercises by coordinating all movements of budget, ensuring timely submission of budgets to central teams.
• Participate in strategic meetings and budget planning sessions with the Institutes’ management, providing valuable financial insights to aid decision-making.
• Partner closely with Institutes to guide cost-efficiency initiatives and offer expertise in implementing resource optimization strategies, leading to a reduction in operational expenses.
• Analyse Institutes’ financial positions and funding status, offer insights and recommendations for periodic reporting to the Institutes’ management for decision-making processes.
• Prepare and present financial performance reports to the Institutes’ Governing Board/ Strategic Board, etc, ensuring clarity and accuracy of information.

Grant and Fund Management

• Partner closely with Institutes (as host institution) for effective grant administration, provide financial guidance throughout the grant lifecycle and facilitate budget allocation for various projects and funding sources, to enhance the host institute’s financial stability and research pursuits.
• Collaborate with budget owners to manage grants / funds and proactively identify issues for timely solutions and ensure optimal utilisation of funds.
• Ensure full understanding and compliance with the terms and conditions of the grants as predetermined in the signed letter of awards / agreements.
• Oversee grant claim statements preparation and timely submission to funding agencies, including liaison with auditors and fulfilment of audit requirements, and prompt response to queries for a smooth and timely audit fieldwork.
• Work collaboratively with the Institutes’ stakeholders and central shared services teams during financial year-end closing and grants’ closing activities to ensure all legitimate transactions are properly recorded and all financial reports are accurately prepared.

Governance, Controls and Compliance

• Ensure compliance with related tax filing matters including GST, withholding tax and taxable benefits for personal claims.
• Timely perform Risk Control Matrix (RCM) testing and address anomalies to mitigate financial risks, and ensure certification sign-off by Institute’s HOA before the financial year’s closing deadline.
• Liaise with internal auditors on all internal audit matters, where required.
• Coordinate and oversee the annual fixed assets verification exercise of the designated Institutes. Work collaboratively with Institutes’ stakeholders to ensure compliance with the verification procedures and maintain accurate records of fixed assets.

Leadership

• Drive strategic planning efforts, outlining objectives, strategies and key performance indicators (KPIs) to ensure the team’s success.
• Make critical decisions and provide guidance to the team in complex situations, considering broader implications.
• Identify talent gaps. Mentor and coach team members on leadership, problem-solving and strategic thinking.
• Guide the team through changes, effectively managing transitions and ensuring team members are aligned with new strategies or initiatives.
• Represent the cluster in cross-cluster meetings and strategic discussions, advocating for team needs and accomplishments.

Process Improvement and Stakeholder Communication

• Proactively engage with Institutes’ stakeholders to understand their needs, challenges and goals.
• Provide guidance and updates to stakeholders on finance policies, guidelines and procedures, as and when required.
• Identify opportunities to develop guidelines and streamline financial processes for operational efficiency and resource optimization.
• Lead change initiatives such as projects, system implementation and other assignments as may be directed from time to time.
• Undertake ad-hoc tasks as requested by Institutes or assigned by Cluster lead.

Qualifications

• Accounting Degree/ACCA or equivalent with at least 10 years of relevant working experience
• Exposure to grant budgets, funding agencies’ regulations and financial compliance requirements in a research or education environment will be advantageous
• Technically competent with up-to-date knowledge of accounting / audit standards and practices
• Ability to quickly learn and grasp the implications of terms and conditions for each managed grant
• Highly stakeholder service-focused and strong in communication skills with the ability to build positive working relations and work collaboratively with people at all levels
• Highly analytical with exceptional problem-solving and organisational skills
• Self-motivated individual and able to work with minimal supervision in a dynamic environment with competing demands for resources
• A keen sense of ownership and accountability, and act with a sense of urgency to meet tight deadlines
• Proficient in using MS Office and has relevant experience in SAP accounting system and flexibility to adapt new software applications, where applicable

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 to work on problems at the intersection of information theory, statistics, and learning.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Strong background in mathematics
• Research experience in information theory

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

To conduct research in area of functional polymers and hydrogels

Qualifications

1. A Ph.D. degree in areas of chemistry, Polymer Science, or Physical Chemistry of materials.
2. Equipped with skills in polymer design and synthesis
3. Good at materials characterization using TEM, SEM, SAXS/WAXS.
4. Self-motivated and demonstrated a good track record in quality publication.
5. 1-2 years postdoc experience is an advantage while Ph.D. graduates with no prior experience are also welcome to apply.

Position Overview:

Black Sesame Technologies is seeking a talented and innovative Machine Learning Research Scientist with expertise in software/hardware co-design to drive advancements in autonomous driving technologies. This role offers a unique opportunity to bridge the gap between machine learning algorithms and hardware design, contributing to high-performance, efficient, and scalable solutions for AI-driven systems.

Responsibilities:

• Conduct in-depth research and analysis of cutting-edge machine learning algorithms, with a primary focus on applications in autonomous driving.
• Monitor and forecast industry trends in AI technologies to identify opportunities for innovation and improvement.
• Evaluate the computational and memory requirements of various AI models and operators, identifying optimization opportunities.
• Collaborate closely with chip architects and engineers to design and implement software/hardware co-designed solutions that enhance chip performance, efficiency, and scalability.
• Develop comprehensive technical documentation and presentations to effectively communicate complex concepts to both technical and non-technical audiences.
• Stay connected with academic and industry research communities to remain at the forefront of AI and machine learning advancements.

Qualification/ Requirements:

• Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related technical field with a strong focus on machine learning.
• Experience: Proven experience in developing and analyzing machine learning algorithms.
• Programming Skills: Proficiency in programming languages such as Python and C++.
• ML Frameworks:Hands-on experience with machine learning frameworks like TensorFlow and PyTorch, and deploying them on hardware accelerators.
• Collaboration: Demonstrated ability to work effectively in a team-oriented, cross-disciplinary environment.
• Co-Design Expertise: Strong understanding of software/hardware co-design principles and their impact on system performance is highly preferred.

Job Description:

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

We are seeking a highly skilled and experienced Principal Scientist with a strong background in Computer Science or Mathematics to lead our efforts in the research and development of Privacy Enhancing Technologies (PETs). The ideal candidate will specialize in areas such as Multi-Party Computation (MPC) and Homomorphic Encryption (HE), with a proven track record of high-impact work in these fields. This role involves creating proofs of concept (PoCs) or software at higher Technology Readiness Levels (TRLs), developing new algorithms, and leading R&D teams to push the boundaries of what is possible with PETs.

Key Responsibilities:

• Research and Development: Lead innovative research projects to develop new algorithms that enhance the efficiency, security, and applicability of PETs like MPC and HE.
• Proof of Concept Creation: Design and develop advanced PoCs or TRL software that demonstrate the practical application and effectiveness of newly developed algorithms. This includes application of PETs in various domains like healthcare, finance, manufacturing, transport, etc.
• Team Leadership: Direct and mentor a team of research scientists and engineers, fostering a collaborative environment that encourages innovation and rigorous scientific evaluation.
• Collaboration and Networking: Engage with the broader scientific community to keep abreast of latest developments, share findings, and collaborate on cutting-edge projects.
• Publication and Dissemination: Author influential research papers for top-tier journals and conferences, and present findings at international forums to establish and maintain leadership in the field.
• Strategic Planning: Contribute to the strategic planning of the data security group by aligning R&D activities with long-term organizational goals.

Qualifications:

• Education: PhD in Computer Science, Mathematics, or a closely related field.
• At least 8 years of experience
• Experience: Extensive experience in Privacy Enhancing Technologies, particularly Multi-Party Computation, Homomorphic Encryption, Confidential Computing, or other PETs.
• Leadership: Proven ability to lead and manage R&D teams in a high-tech environment.
• Publications: A strong publication record in peer-reviewed journals and conferences, demonstrating significant contributions to the field of cybersecurity and PETs.
• Skills: Exceptional analytical and problem-solving skills, proficient in algorithm design, and adept at programming in languages suitable for scientific computing and cybersecurity applications.

Desired Attributes:

• Innovative thinker with the ability to challenge conventional approaches and pursue new methodologies.
• Excellent communication skills, capable of conveying complex technical details to diverse audiences.
• Strong organizational skills, with the ability to manage multiple projects simultaneously and meet deadlines.

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.

At EDDC, Singapore’s national platform for drug discovery and development, we are committed to discover and develop novel therapeutics by working collaboratively with both public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This includes tackling complex and unmet medical challenges in disease areas such as oncology and autoimmune diseases. EDDC is now seeking a highly skilled and motivated Bioinformatics Scientist to join the Computational Biology group to drive data-driven discovery of therapeutic targets and clinically relevant biomarkers, achieving wholistic understanding of human disease biology and pathology. By joining EDDC, the candidate will be part of a dynamic, interdisciplinary team geared to enhance and facilitate the drug discovery journey through data harmonization and deconvolution, multimodal data analytics, and advanced machine learning. The role will also leverage strategic partnerships both locally and globally, to adopt a flexible approach in refining and advancing EDDC’s solutions.

Responsibilities:

Multimodal data analytics for target, biomarker discovery and MoA elucidation

• Develop and implement computational strategies for integrated analysis across diverse biological datasets, including but not limited to genetics/genomics, transcriptomics (bulk- and single-cell RNAseq) and proteomics data.
• Employ state-of-the-art machine learning and AI techniques to uncover patterns in extensive biological datasets, developing predictive models that inform therapeutic strategies.
• Collaborate with cross-functional colleagues to drive the data-driven discovery and prioritization of novel therapeutic targets and clinically relevant biomarkers, integrating advanced analytics to elucidate the molecular mechanisms of action.

Data Integration and automation

• Evaluate and harmonize multi-dimensional data to ensure data quality and consistency.
• Architect and manage databases for cross-functional biological data from public and proprietary sources.
• Optimise and automate workflows when applicable, streamline data access for researchers to facilitate high-throughput analysis and collaborative research efforts.

Collaborative Research and strategic partnerships

• Work closely with experimental biologists, chemists, and other computational biologists to design experiments, analyse results, and communicate findings in scientific reports and presentations.
• Establish and maintain partnerships with leading computational biology, data science, and AI entities both locally and globally, serving as the computational biology liaison to ensure effective communication and alignment of objectives between external partners and EDDC’s internal project teams.

Innovation and Continuous Learning

• Stay abreast of the latest developments in bioinformatics, data science, machine learning, and AI as they pertain to drug discovery and development.
• Implement new technologies and methodologies to refine in-house workflows and enhance EDDC’s computational platforms.

Job Requirements:

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 5 years of postdoc experience or equivalent in industry settings.
• Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk and single-cell transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
• Proficiency in software engineering and programming languages such as Python and R, and familiarity with data engineering techniques including cloud-based and on-premises database services, database management systems, APIs and workflow development frameworks.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
• Keen to learn new techniques and adaptable to changing priorities.
• Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
• Industry experience in pharmaceutical or biotech companies is an advantage.

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

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NiTEC or Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Summary

We are seeking a highly skilled and innovative MEMS Device Designer/Scientist to join our cutting-edge research and development team @Lab-in-Fab, IME. The successful candidate will design, develop, and optimize MEMS piezoelectric MEMS devices including ultrasound transducers, micro speakers, and sensors and actuators for various applications, e.g. biomedical imaging, air-coupled ranging and sensing, non-destructive testing, and microfluidics. The role involves close collaboration with industry partners, process engineers, and application engineers, to push the boundaries of PiezoMEMS technology. This position requires the ability to bridge R&D innovation with production scalability to create impactful, high-performance products.

Key Responsibilities

• Innovation and leadership
• Develop high quality R&D proposals
• Foster collaboration with industry
• Lead scientific and industry projects
• Supervise junior staffs and students

Device Design:

• Design PMUTs (Piezoelectric Micromachined Ultrasonic Transducers), micro speakers, piezoelectric actuators.
• Perform device modeling and simulation (experience for COMSOL is preferred). Optimize device performance based on application-specific requirements, including resonance frequency, bandwidth, sensitivity, and power consumption.
• Collaborate with ASIC designers for MEMS-CMOS co-development. Integrate MEMS ultrasound devices into systems for applications such as imaging, gesture recognition, ranging, and microfluidics.
• Collaborate with hardware and software teams to ensure seamless device functionality in end-use systems.

Process Platform Development:

• Drive the development of advanced process platform to establish leadership in piezoelectric MEMS technology. Collaborate closely with process teams to innovate and optimize MEMS structures
• Develop and execute testing protocols for MEMS acoustic devices, including acoustic, mechanical, and electrical characterization.
• Analyze experimental data to validate designs and identify areas for improvement.

Research and Innovation:

• Stay up to date with advancements in MEMS technology, ultrasound systems, and piezoelectric materials.
• Contribute to scientific publications, patents, and conference presentations.

Qualifications

Education:

• Ph.D., Master or bachelor degree in electrical engineering, Mechanical Engineering, Materials Science, Applied Physics, or a related field.

Experience:

• Preferred candidates with at least 5 years of experience in MEMS device design and development, as well as a proven track record in product development and commercialization within the MEMS industry.
• Demonstrated expertise in piezoelectric transducer design
• Hands-on experience with MEMS fabrication processes and characterization tools.

Skills:

• Proficiency in simulation tools such as COMSOL Multiphysics, ANSYS, or equivalent.
• Knowledge of MEMS fabrication techniques, including lithography, etching, and thin-film deposition.
• Familiarity with acoustic characterization techniques (e.g., impedance analysis, laser Doppler vibrometry, ultrasound imaging, wafer level measurement).
• Strong programming and data analysis skills (MATLAB, Python, etc.).
• Excellent problem-solving and analytical skills

Key Attributes:

• Strong communication and teamwork skills.
• Ability to manage multiple projects in a dynamic R&D environment.
• Detail-oriented with a commitment to innovation and quality.