Job Purpose

• A clinical research coordinator will assist Principal Investigator or Co-investigators to monitor the administration and progress of a clinical trial.

Duties and Responsibilities

Primary Duties and Responsibilities

Clinical Trial

• Oversee overall clinical operations related to the conduct of the clinical trials.
• To adhere to compliance with Research Governance, Good Clinical Practice, Data Protection and Ethical Requirements.
• To ensure the study and study procedures are conducted in accordance with the study protocol
• To participate in patient recruitment.
• To ensure study entry criteria are fulfilled.
• To ensure informed consent procedure is followed.
• To coordinate patient visits for future tests and procedures.
• To schedule visit according to study protocol.
• To organize and participate in site initiation visit.
• To work in collaboration with study team to ensure trial preparedness.
• To monitor patients throughout the study to ensure study drugs are given according to protocol requirement.
• To arrange for clinical and laboratory investigations to be carried out according to protocol.
• Ensure results of investigations and X-ray films are collected.
• Maintains records of additional investigations for invoicing purposes.
• To collects and collates research data, ensuring its accuracy and completeness.
• Ensure timely and accurate transcription of information on source documents, paper case report forms (CRFs), or electronic CRFs.
• To label and ensure biological specimens are delivered in the correct conditions as specified in the trial protocol.
• To assist investigator(s) in adverse events / serious adverse events reporting.
• To maintain confidentiality on patient data.
• To work with pharmacy to maintain drug accountability logs.
• To raise payment request forms for billing to companies
• Creation and maintenance of all trial files, including the trial master file, and oversight of site files.

Secondary Duties and Responsibilities

Recruitment Plan

• To work with company in developing and implementing recruitment plan to ensure long-term recruitment target is met.

Job Specification/Requirements

• Life science diploma/ degree or nursing degree is preferred. The relevant degree subject area is life science or biomedical science.
• Ability to work both independently and in a team.
• Good communication skills.
• Good patient interaction skills.
• Be flexible and self-motivated.
• Ability to write clearly
• Possess excellent organisational skills.
• Enjoy paying attention to detail.
• Computer literacy.
• Ability to work flexibly with occasional weekends and late nights.

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.

The Role

Institute of Operations Research and Analytics (IORA) at National University of Singapore (NUS) offers an exciting opportunity for a highly motivated Research Fellow to work on and manage analytics projects with our industry partners. The projects aim to develop new analytics tools utilizing unique datasets and research and experimental development on machine learning techniques.

Your project management and technical skills are the foundation of this role as you will be working within multidisciplinary and international project team of leading researchers. As an important and integral member of our research team, you will be managing some of our industry projects and working closely with faculty members, research scientists, and PhD students. Our researchers can mine terabytes of data, develop mathematical models and algorithms to derive new insights. Part of your job is to communicate complex data and algorithms into simple conclusions that will empower our industry partners to act based on the research insights. Your business knowledge, interpersonal/communication skills are therefore a requirement to thrive in a multi-functional leadership team.

About You

The University values courage and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for Research Fellows who have:

• a completed PhD in computer science, operations research, econometrics, statistics, or related field
• strong mathematical and programming background and problem-solving skills, with research experience in operations research
• evidence of managing research projects
• evidence of ability to conduct high-quality research
• an emerging track record of academic publications
• an ability to work in a collaborative team environment
• excellent communication skills

About Us

IORA conducts research on optimization, analysis and management of service systems, including model formulation, algorithm design, analysis of service strategies, and software development.

Our members come from academics and diverse segments of management that are advancing the philosophy of operations research and analytics. For more information on IORA, please visit the website: IORA

How to apply

To apply, submit a letter of application, CV, research example (e.g. journal publication), copies of teaching evaluations (if applicable), copy of graduate transcripts (showing highest degree awarded/or currently in process), names and contact information of three references. We regret that only shortlisted applicants will be notified.

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

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

Key duties include:

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

Qualifications:

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

Experience

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

Attributes

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

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

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

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Weina Zhang) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of research hypotheses
• Plan and perform the collection and organization of corporate financial and sustainability disclosures
• Plan and perform the collection and organization of information regarding government policies and regulations in the sustainability space
• Perform qualitative and quantitative analyses of existing frameworks, to extend existing frameworks to develop a more comprehensive framework
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• For Research Fellow position: guide, mentor, and supervise research analysts and associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: finance, accounting, economics, business, sustainable/green finance, sustainability management, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required.
• A thorough knowledge of the research field of sustainable economics or finance is highly preferred.
• Quantitative analytical and/or financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data analysis of research projects.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Excellent verbal and interpersonal communication skills, along with strong written communication skills.

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

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

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Weina Zhang) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of research hypotheses
• Plan and perform the collection and organization of corporate financial and sustainability disclosures
• Plan and perform the collection and organization of information regarding government policies and regulations in the sustainability space
• Perform qualitative and quantitative analyses of existing frameworks, to extend existing frameworks to develop a more comprehensive framework
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• For Research Fellow position: guide, mentor, and supervise research analysts and associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: finance, accounting, economics, business, sustainable/green finance, sustainability management, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required.
• A thorough knowledge of the research field of sustainable economics or finance is highly preferred.
• Quantitative analytical and/or financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data analysis of research projects.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Excellent verbal and interpersonal communication skills, along with strong written communication skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The candidate is expected to perform experimental work that combines TEM sample preparation, focusing on heating and cooling experiments, aberration-corrected STEM, as well as monochromated Electron Energy-Loss Spectroscopy.

All experiments will be performed on ultrathin, graphene-like films. Advanced STEM and EELS data processing will be performed, as well as the drafting of scientific manuscripts.

Qualifications

The candidate is expected to hold a PhD degree, or is awaiting the outcome of the PhD thesis submission. The candidate will have 3-4 years of hands-on experience with aberration-corrected STEM and monochromated electron energy-loss spectroscopy. The candidate is expected to work efficiently and supportively with students, research fellows, and collaborators.

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 / Engineer 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 Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers

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 / Engineer 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 Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers

Reporting to Director, Corporate Services we are looking for a candidate to support senior management in strategic planning and management in manpower, and Institute resources as well as overseeing the day-to-day running of the division.

You will work closely with the core management team in managing the Institute overall budget and resources, liaising with the stakeholders in staff recruitment and management of manpower budgets. You will be working with the HR partners in ensuring all HR functions are properly administered and ensure timely and accurate reporting to requests from Head Office

A self-starter, problem solver and matured individual who can work independently with minimum or no supervision. Some HR-related experiences will be preferred with strong interpersonal skill to work with all levels of colleagues. Responsible in guiding and providing mentorship to the team towards achieving optimal results.

Requirements:

• Bachelor's degree with 7 years' experiences preferably in HR and resource management
• Resourceful and result oriented
• Strong analytical and organisational skills
• Effective communicator and a people person
• Organised, meticulous and detail-oriented

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

Reporting to Director, Corporate Services we are looking for a candidate to support senior management in strategic planning and management in manpower, and Institute resources as well as overseeing the day-to-day running of the division.

You will work closely with the core management team in managing the Institute overall budget and resources, liaising with the stakeholders in staff recruitment and management of manpower budgets. You will be working with the HR partners in ensuring all HR functions are properly administered and ensure timely and accurate reporting to requests from Head Office

A self-starter, problem solver and matured individual who can work independently with minimum or no supervision. Some HR-related experiences will be preferred with strong interpersonal skill to work with all levels of colleagues. Responsible in guiding and providing mentorship to the team towards achieving optimal results.

Requirements:

• Bachelor's degree with 5 years' experiences preferably in HR and resource management
• Resourceful and result oriented
• Strong analytical and organisational skills
• Effective communicator and a people person
• Organised, meticulous and detail-oriented

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

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Principal Scientist to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description

• Leads conceptual and technical integration of various research studies to provide leading edge solutions in antimicrobial resistance (AMR) research and development
• Conceptualize and create new technologies, patents and publications
• Review and manage operating budget of grants and team
• Establish collaborations, develop scientific proposals and ensure timely achievement of project milestones
• Manage a team and provide scientific and career mentorship to researchers and students

Job Requirements

• PhD in Biomedical Sciences, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• 4 years of post-PhD relevant experience
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Strong publication record
• Highly motivated and ability to develop strong research ideas to secure grant and funding
• Strong analytical, technical and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication skills

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 5 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.

Host Pathogen Interactions in A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking a Postdoctoral Researcher to join the lab.

We are seeking a talented and collaborative post-doctoral researcher to work in the broad scope of host-pathogen interactions and infectious diseases. The lab has various funded projects on the comparison of host-alphavirus interactions at the immune response level in vivo in animal models through a novel viral-centric and multiOmic approach. Other projects include immune response evaluation of vaccine adjuvant candidates, development of cell-based reporter systems of viral infections to facilitate and accelerate antiviral studies, as well as development of novel vaccine strategies.

The candidate will be expected to work on funded projects as well as develop novel research projects in the scope of the lab research interests to be able to apply to the various early career development schemes both at an internal and external national level. Virus studied in the lab are positive sense RNA viruses as well as some negative sense RNA viruses. Other common techniques and tools in the lab include protein-protein/RNA interactions, microscopy, functional genomics, viral reverse genetics, CRISPR Cas9 gene editing. Animals models available in the lab include mice and zebrafish.

Throughout the project, close collaborative work within A*STAR ID Labs as well as other institutes throughout Singapore and overseas will be used to leverage expertise for high impact studies.

Job Requirements

• PhD in Biomedical Sciences, Life Sciences, Immunology, Virology or related field
• At least 2 to 3 years of relevant experience (immunology or related field) is a plus.
• No virology experience necessary. Prior bioinformatic experience is a plus.
• Highly motivated and able to work independently.
• Team player with good interpersonal skills.
• Good spoken and written communication skills.
• Willing to learn to work in a BSL3 facility if necessary
• Must be comfortable to work with small animal models.

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.

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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

We are seeking a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The project focuses on creating a mesoscopic-scale "artificial atom" through superconducting levitation of a ferromagnetic particle. This levitated, freely precessing particle represents a system of correlated spins, capable of rapidly averaging quantum uncertainty. By leveraging this system, we aim to develop quantum sensors with sensitivities surpassing the standard quantum limits.

This position is based in A*STAR Quantum Innovation Centre (Q.InC). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Development of high-performance sources to generate squeezed light.
• Characterizing the squeezed light.
• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Develop a hybrid motion tracking system integrating SQUID technology with squeezed light techniques.

Requirements:

• Ph.D. in Physics, Applied Physics, Precise Instrumentation, or related fields
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Proficiency in programming languages such as Python or MATLAB
• Strong teamwork and communication 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.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Scientist to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The candidate will be joining the Antimicrobial Chemical Biology Lab, a newly established group in A*STAR ID Labs focusing on the development of synthetic antimicrobial compounds for potential therapeutic application against infection.

Research projects will encompass various tasks such as:

• Chemical synthesis
• In vitro antimicrobial activity testing
• Understanding mechanisms of action
• In vivo efficacy evaluation.

The candidate will be trained on project management and ideation of new studies aligning with the lab focus. They will also support the team in lab operation, safety oversight, and documenting experimental procedures and results.

Job Requirements

• Ph.D degree in microbiology, biomedical science, bioengineering, or any other related field
• Having background knowledge in AI and programming will be an advantage
• Highly motivated and passionate about scientific research
• Effective communication both verbally and in writing
• Team player
• Receptive and detail-orientated

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

Prof Chng Wee Joo's lab in Cancer Science Institute of Singapore (CSI) is at the forefront of cutting-edge research in haematological malignancies, with a particular focus on multiple myeloma (MM), acute myeloid leukemia (AML), and natural killer/T-cell lymphoma (NKTL).

We are seeking a highly motivated and skilled Research Assistant to join our team and contribute to our translational research program. This program integrates genomics and proteomics technologies to drive clinically relevant discoveries in the diagnosis, prognosis, and treatment of these cancers.

As a Research Assistant, you will play a key role in supporting various research activities, including experimental design, data collection, and analysis, as well as laboratory management. You will collaborate closely with our team of scientists and clinicians to help advance our bench-to-bedside research pipeline, translating laboratory findings into potential therapeutic interventions for haematological malignancies.

Duties and Responsibilities

Conducting Research

• Assist in performing high-throughput genomics and proteomics analyses on human tumor samples and model systems.
• Participate in pre-clinical validation studies of novel therapeutic targets identified from genomic and molecular discoveries.
• Support ongoing research projects focused on molecular subtyping, disease progression, and therapeutic resistance in MM, AML, and NKTL.
• Assist in testing novel compounds targeting oncogenic pathways (e.g., EZH2 inhibitors in AML).

Data Collection and Analysis

• Prepare and process biological samples for genomic and proteomic studies.
• Utilize bioinformatics tools and relational databases for system biology analysis and integration of clinical and molecular data.
• Contribute to data management and statistical analysis of experimental results.

Laboratory Management

• Assist in the maintenance of laboratory equipment and inventory.
• Ensure proper documentation of experimental procedures and findings.
• Maintain high standards of laboratory safety and protocol compliance.

Collaborative Research

• Work closely with senior researchers, clinicians, and other laboratory staff to validate research findings and contribute to ongoing projects.
• Assist in the management of a comprehensive tissue bank and clinical database.
• Present findings in lab meetings and contribute to the preparation of manuscripts for publication.

Qualifications

• Bachelor’s or Master’s degree in Biology, Biochemistry, Biomedical Sciences, or related field.
• Prior experience in molecular biology, genomics, or proteomics techniques is highly desirable.
• Familiarity with haematological malignancies and cancer research is a plus.
• Experience with bioinformatics tools and databases is advantageous.
• Strong organizational skills and attention to detail.
• Excellent written and verbal communication skills.

Preferred Skills and Attributes:

• Passion for cancer research and a strong interest in translational medicine.
• Ability to work collaboratively in a multidisciplinary team.
• Strong problem-solving skills and ability to adapt to new challenges.

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 Summary

Cancer Science Institute of Singapore (CSI) is establishing a new research lab under the leadership of Dr. Zhou Yilong. The lab will focus on RNA biology, cancer, and immunity.

We are seeking a highly motivated, dedicated and detail-oriented Research Assistant to contribute to the lab's cutting-edge research on RNA-protein interactions, biomolecular condensates, and the role of RNA helicases in cancer. In addition to research responsibilities, the Research Assistant will play a crucial role in commissioning the lab, setting up essential equipment, and ensuring operational readiness.

Qualifications

• Bachelor’s or Master’s degree in Molecular Biology, Biochemistry, Cancer Biology, or a related field.
• Prior experience with lab setup, equipment management, or commissioning of research facilities.
• Strong skills in molecular biology techniques (e.g., RNA isolation, PCR, cell culture, CRISPR).
• Knowledge of RNA biology, cancer biology, or immunology is advantageous.
• Familiarity with bioinformatics tools for RNA sequencing analysis is a plus.
• Strong organizational skills and attention to detail.
• Ability to work both independently and as part of a team.

Preferred Experience:

• Experience with RNA helicases, biomolecular condensates, deep-sequencing and proteomic techniques.
• Prior involvement in lab commissioning or management.
• Familiarity with cancer models and translational research in RNA therapeutics in cell and animal level.

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job duties and responsibilities :

• Oversee and manage all Singapore Chinese Health Study genetic data hosted on GIS RAPTOR platform.
• Coordinate data extractions and data transfer for the Singapore Chinese Health Study.
• Manage design, develop, verification and validation activities for appropriate genetic data storage and analysis.
• Execute large-scale genetic evaluations for ageing biomarkers and age-related traits and outcomes with the Singapore Chinese Health Study dataset.
• Coordinate data harmonization with key collaborators to enable larger scale data analysis.
• Maintain proper logs and filing for all project documents and records.

Job requirements :

• Proficiency in large-scale genomics evaluations.
• Proficiency in cloud computing, unix based computational platforms.
• Excellent communication and collaborative skills and ability to work as part of a larger team.
• Meticulous in delivering and documenting tasks with appropriate computational tools.
• Well acquainted with basic molecular biology techniques including qPCR and NGS
• PhD in genomics, computational biology or related fields.

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 part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will have the opportunity to develop unconventional ultrasound transducer drivers, receiver circuits for IoT and biomedical applications as well as cutting-edge high-speed analog circuits for advanced optical communication.

Role & Responsibilities

• Design and tapeout circuit blocks e.g. high linearity low-noise amplifier, variable gain amplifier, envelop detector, and high voltage driver for MEMS ultrasound transducers.
• Work together with team on system integration and demonstration.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Minimum 2 years of transistor-level analog circuit design experience
• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Design experience with high voltage BCD process would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven