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.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Research Assistant – Pharmacokinetics unit

Job Scope:

· Pharmacokinetics Function – Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Requirements:

· Degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Molecular Biotechnology or related field.

· At least 1-2 years of working experience in a related field is preferred but not necessary. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures. Experience in one of the assays listed in the job scope of Pharmacokinetics: Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at:
http://chugai-pharmabody.com/

We regret that only short-listed 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.
• 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.
• 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.

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

Qualifications

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

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.

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.

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.

• MS or PhD in Electrical Engineering or Solid-State Physics with 15+ years of related and industry experience in SiC devices
• Formulate strategies and developing core technologies for high & ultra-high voltage SiC devices aimed at future power system applications and energy savings.
• Lead research focused on the development of SiC high-voltage Superjunction (SJ) MOSFETs, Ultra-high-voltage IGBTs, and related core technologies
• Utilize advanced technology, process, and device modeling tools Silvaco, Sentaurus, or similar platforms to create state-of-the-art power MOSFET architectures.
• Hands-on experience with ultra-high voltage high power device characterizations analysis.
• Ability to foster revolutionary ideas among team-members to simplify processes and reduce costs for the fabrications of ultra-high power devices
• Proven track record of promoting innovative culture within teams, resulting in a robust patent portfolio in the field of SiC devices.
• Comprehensive knowledge of power conversion circuit topologies.
• Serve as the technical leader in designing best-in-class new power products.
• Capable to conceptualize and establish the groundwork for integrating high-voltage high-power devices into final modular designs to ensure reliability and adherence to safe operating areas.
• Lead collaborations with industry leading partners to enhance the SiC ecosystem in the field of high-voltage devices and power electronics, facilitating the effective utilization of renewable energy & applications in high voltage power electronics.
• Serve as the technical leader in designing best-in-class new power electronics.
• Proactive drive to integrate power module package development and teams.
• Self-starter with a strong ability to seek solutions and work effectively in a team environment.
• Excellent written and verbal communication skills.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmwave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to lead our Technology-Business Development (Tech-Biz) department. You will be responsible for leading the department to define and implement our strategies for technology-business development, account management, sales and marketing, and ecosystem development. If you"re excited about the future of microelectronics and wish to contribute to the development of Singapore’s innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Technology-business Development: Lead the department to define and develop strategies for technology translation.
• Customer Relationship Management: Lead the department to win and retain industry partners and customers for high-value and sustainable engagements.
• Sales: Collect, maximise leads and close customer collaboration projects.
• Marketing: Develop and execute marketing strategies to promote IME’s research capabilities to the industry. Represent IME at international conferences and exhibitions.
• Collaborate with Technology Development (TD) Teams: Partner with our "Technology Development" teams to craft robust value propositions for the industry and shape IME’s ‘go-to-market’ strategy. Detect, track and provide market trends and needs for the TD teams.
• Ecosystem Development: Liaise, coordinate and engage effectively with key internal stakeholders, including A*STAR’s Industry and Enterprise Group, other economic agencies and public sector agencies, to align efforts and achieve common goals for the Singapore semiconductor ecosystem.

Job Requirements:

• Degree in Science or Engineering.
• At least 10-15 years of relevant work experience.
• Able to structure and negotiate collaboration agreements.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Strong analytical skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor industry.

A Research fellow position is available in Dr. Anand Andiappan Laboratory at the Singapore Immunology Network (SIgN). The successful candidate will support the research work that focuses on studying inflammaeing in the context of skin aging in Asian populations.

The candidate will work on primary cells from cohorts and cell culture systems towards understanding functional immune responses in skin immune interactions and recapitulating them in in-vitro and ex-vivo systems. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by microscopy, and associated data analysis with statistical tested.

Duties will include managing safety in the laboratory, creating Standard Operating Procedures (SOPs) and laboratory risk assessments, maintaining laboratory inventories, perform other laboratory administrative duties and operations such as ordering and tracking laboratory budget.

Job Requirements:

• PhD Degree in Skin Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in dermatology, immunology, molecular allergy and clinical immunology
• At least 2 years experience with human and mouse blood/tissue sample handling and in vitro cell culture and processing (e.g. isolation of specific immune cell populations, differentiation and activation assay)
• Experience with flow cytometry analysis for different immune cell populations and functional immune assays
• Highly motivated to work in research laboratory and able to perform tasks independently
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills

Please submit your application with a cover letter summarizing your research experience.

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 Responsibilities:

• Design and develop high-quality, scalable, and maintainable mobile applications.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Stay up-to-date with the latest trends and technologies in mobile development.

Requirements:

• 1-2 years of experience in IOS/Android App development.
• Bachelors degree in Computer Science, Information Technology, or a related field.
• Strong knowledge of Flutter, React, Dart and native programming language.
• Proven experience in building mobile applications for Android and iOS.
• Understanding of the full mobile development life cycle.
• Familiarity with RESTful APIs to connect mobile applications to back-end services.
• Strong understanding of design principles and user interface guidelines.
• Excellent problem-solving skills and ability to work in a team environment.
• Good communication and interpersonal skills.

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 an innovative Junior Scientist to support our new projects.

Job Description:

• Conducting experimental design, planning, performance and troubleshooting of experiments.
• Results report writing.
• Laboratory administration and operations.

Job Requirements:

• Bachelor's degree in Science, Biology, or equivalent with 1 - 2 years of laboratory experience. Candidates with no experience may apply.
• Basic Biosafety Level 2 laboratory skills e.g. micropipetting, handling of reagents and biological material in Biological Safety Cabinet.
• Performance of molecular-based assay such as polymerase chain reaction or other nucleic acid amplification-based platforms, and next generation sequencing.
• Proficient in MS Office.
• Strong communication skills, the ability to multitask in a dynamic environment, and a self-driven, team-oriented attitude are essential for success in this fast-paced position.

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.

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.

Job Summary:

We are seeking a highly skilled and motivated medical device Product Development Engineer to join our dynamic team. The successful candidate will be responsible for the design, development, and maintenance of software products that meet regulatory requirements for medical devices. This role requires a good understanding of both software engineering and medical device regulations, ensuring our products are safe, effective, and compliant.

Key Responsibilities:

• Collaborate with software development team to design, develop, and maintain software applications intended for use as medical devices.
• Collaborate with cross-functional teams, including clinical, regulatory, quality, and marketing to implement product requirements and specifications.
• Ensure software design complies with relevant medical device regulations and standards (e.g., IEC 62304, ISO 13485, HSA guidelines).
• Work closely with regulatory affairs to ensure software products meet all necessary regulatory requirements and obtain required certifications and approvals.
• Prepare and maintain documentation required for regulatory submissions and audits.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Biomedical Engineering, or a related field.
• Minimum 2 years of experience in software development, preferably in the medical device industry.
• Experience with regulatory compliance for medical devices.
• Familiarity with software validation and verification processes.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

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 intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the NUS Career Portal.

Qualifications

• A PhD in statistics or a related field is required.