Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• At least 5 years of relevant experience
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

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.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The SIT-NVIDIA Joint AI Center represents a collaborative effort between SIT and Nvidia to support AI integration within local businesses, utilizing cutting-edge AI technologies, including foundational and Generative AI models, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Computer Vision (CV), and more. SIT is currently on the lookout for Research Fellows to contribute to the Joint Centre. This position offers the chance to partake in pioneering AI research as part of a partnership between academia and industry.

Key Responsibilities

1. Research Execution and Management
• Develop and lead AI projects that integrate modern technologies, aimed at industry-relevant applications.
• Ensure all research activities are compliant with SIT’s ethical standards and operational policies.

2. Collaboration and Networking
• Work closely with NVIDIA and SIT researchers to foster technological exchange and innovation.
• Build partnerships with industry stakeholders to align research projects with market needs and opportunities.
• Participate in networking events to enhance the visibility and impact of research outcomes.

3. Publication and Dissemination
• Produce high-quality research publications for academic conferences/journals and industry white papers.
• Present findings at international conferences, workshops, and industry forums.

4. Mentoring and Leadership
• Mentor graduate students and junior researchers, promoting skill development and professional growth.
• Lead by example in fostering a culture of academic excellence and integrity.

Job Requirements

• PhD in n Computer Science, Artificial Intelligence, Computer Vision, Natural Language Processing, or allied disciplines is required. Preference will be given to candidates with expertise in Large Language Models, as well as the fine-tuning and customization of AI models.
• Proven record of AI research and applications, as demonstrated by publications, patents, or software developments.
• Strong technical proficiency in AI modeling, computational tools, and programming languages relevant to AI research (e.g., Python, CUDA).

Key Competencies

• Experience working in collaborative environments, especially involving industry and academia.
• Demonstrated ability to manage complex projects and multidisciplinary teams.
• Strong communication skills, capable of engaging both technical and non-technical audiences.

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 and skilled postdoctoral researcher to join our dynamic research team focused on investigating electron transport phenomena in twisted moiré superlattices, such as twisted multilayer graphene, TMDC, and 2D superconductors. The successful candidate will contribute to cutting-edge research in the field of two-dimensional materials, with a specific emphasis on understanding and manipulating electron transport properties in these unique structures.

Job Responsibilities

Experimental Design and Implementation

• Design and fabricate devices incorporating 2D materials to explore novel electronic properties

Measurements and Data Analyses

• Utilize advanced characterization techniques, such as electron transport measurements, atomic force microscopy (AFM), Raman spectroscopy, etc, to analyze the behaviour of the heterostructures
• Interpret experimental results and provide insights into the underlying physics governing electron transport in the studied materials

Publication and Presentation

• Prepare high-quality research papers for publication in peer-reviewed journals
• Present research findings at conferences and seminars to the scientific community

Collaboration and Teamwork

• Collaborate with fellow researchers, graduate students, and principal investigators to foster a multidisciplinary research environment
• Contribute to the mentorship of graduate students and junior researchers

The tentative starting date is around May-August 2024 depending on the candidate's availability. Any additional relevant questions can be addressed to Prof Alexey Berdyugin ([email protected]).

Qualifications

• PhD in condensed matter physics/nanoscience or any other relevant field
• Excellent understanding of the basics of condensed matter physics and good knowledge of the field of 2D materials
• Excellent writing and verbal communication skills
• Experience with cryogenic equipment and electron transport measurements
• Nanofabrication skills and experience with van der Waals heterostructures assembling are highly welcome

About us

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

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• Preferably with at least 3 - 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

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

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

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

About us

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

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• At least 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

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

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 have an opening for a Research Fellow (Transportation) in areas related to connected and automated vehicles (CAVs). Specifically, we expect the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to traffic control in urban and highway contexts, vehicle dynamics and control, and optimization of transportation infrastructure. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a PhD degree in Civil Engineering, Mechanical Engineering, Electrical Engineering, or other closely related fields
• Research experience in Intelligent Transportation Systems with excellent publication record
• Good programming and analytical skills.
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable .
• Good technical proposal writing and presentation skills.
• Able to plan and organize well and adhere to the deadline.
• Able to perform research in a multidisciplinary team.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The 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.

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 job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 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 projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

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-Research-Professor%2C-Computer-Science/27367-en_GB/?st=C46AA6953DC27D5F35BF9F6B74E233D838219CFD

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

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.

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

Applications are invited for a Research Associate in the NUS Centre for International Law (CIL). This is a one-year contractual position offered in connection to CIL's expansion of its programme on international economic law and policy. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international economic law and policy.

The duties of the incumbent will involve:

• Assisting the Head of the International Economic Law and Policy programme in research in connection with the programme’s ongoing projects in international economic law, including CIL’s position as an official observer in UNCITRAL Working Group III, CIL’s ongoing work on international economic law and climate change, and its work on the evolution of the international architecture for economic regulation.
• Assisting with the development and organization of seminars and workshops organized by CIL, including the Singapore International Arbitration Academy.
• Conducting research and completing at least one publication for possible publication in a recognized journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in international economic law, e.g., trade, investment and other areas of international economic law broadly understood;
• Excellent analytical, research and writing skills;
• A high degree of self-motivation and strong organisational and computer skills.

Application Procedures

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents :

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests
• A detailed curriculum vitae (no more than three pages) setting out educational and work history
• University transcripts
• One sample of written work
• The names and details of two referees

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at [email protected]

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg

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

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 successful candidate will work with Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• Next.js
• TypeScript
• MUI (Material-UI)
• D3.js

2) Backend:

• Node.js
• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

_________________________________________________________________

Applicants are required to complete the following as part of the screening process:

1) Clone and Optimize

-Clone this code sandbox (https://codesandbox.io/p/sandbox/react-usestate-update-nested-in-another-usestate-functional-update-r4lwq0?file=%2Fsrc%2FApp.js)

-Optimize the code for performance and readability.

2) Submit Solution:

-Provide the URL to your optimized solution.

-Include a detailed description of the optimizations made and the reasoning behind them.

GitHub Respository: Link to your GitHub profile showcasing relevant projects.

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) 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

The National University of Singapore invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Fellow (RF) will plan and execute research studies to better understand the impact of environmental heat stress on various populations. The successful candidate will be responsible to, and work with, the Principal Investigator (PI) to ensure the successful and timely completion of the project.

Main Duties and Responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Working closely with the PI to develop new research ideas, write up and present project proposals;
2. Designing research protocols and planning data collection strategies, guided by literature reviews and best practices;
3. Leading and training teams comprising Research Assistant(s), Students etc in the conduct of laboratory- and field-based research;
4. Establishing and managing databases;
5. Rigorous data analyses and interpretation of data;
6. Generating reports and high-quality publications for presentation to stakeholders and submission to top tier journals, respectively;
7. Leading a team comprising Research Assistant(s) and Students in the conduct of laboratory- and field-based research studies;
8. Working at different study sites, depending on the needs;
9. Working beyond routine work hours due to the nature of research;
10. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
11. Maintaining regular communication with other members of the research team; and
12. Assisting with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Doctorate, preferably in sport science, life sciences or related disciplines;
2. Have an interest and experience leading and conducting laboratory and field research with human participants;
3. Be proficient in statistics, data analyses and data visualisation for both quantitative and qualitative data;
4. Have excellent written and verbal communication skills;
5. Be adaptable and able to multi-task well;
6. Be able to work independently and in a team;
7. Have an investigative nature and be detail-oriented;
8. Have knowledge of computer applications, e.g. SPSS, MS Office.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified. Review of applications will commence from November 2024 on a rolling basis. Applications will be considered until the post is filled.

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 Research Engineer to join our research team to work on related Soft Robotics.

Key Responsibilities:
To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a Research Engineer to join our research team to work on related Soft Robotics.

Key Responsibilities:

To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointment will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Assistant will be responsible to, and work closely with, the admin managers to ensure the successful completion of projects on time. The RA’s principal role will be to work in research administration for the programme.

Main Duties and Responsibilities

Key responsibilities include:

• Provide administrative support to the research programme and research projects, such as in end-to-end management of procurement and payments.
• Maintain list of expenditures and payments of grants.
• Manage good inventories of consumables and equipment to the research programme and research projects.
• Manage onboarding and offboarding including setup of workspace and systems access.
• Manage calibration and preventive maintenance on equipment and systems.
• Support development and maintenance of SOPs, policies to enhance operations of the programme.
• Assist with other duties of similar nature that are delegated by the PI.

Qualifications

Qualifications and requirements of the role are as follows:

1. Recognised Bachelor’s degree, with at least 1 - 2 years of relevant experience in a research/academic organisation. Degree in life sciences, sports sciences, or related disciplines will be an added advantage.
2. Adaptable and able to multitask with clear flow-through.
3. Demonstrated ability to work independently as well in a team, and thrive in a fast-paced environment
4. Detail-oriented, self-driven with high degree of professional integrity and resourceful.
5. Good written and verbal communication.
6. Proficient in MS Office Application and good IT literacy.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

Please apply online via NUS career portal and any related queries may direct to Ms H’ng at [email protected].