The Energy Research Institute @ NTU (ERI@N) is looking for highly motivated and experienced candidate to join us as Research Fellow. The candidate will be part of Indonesia–NTU Singapore Institute of Research for Sustainability and Innovation (INSPIRASI), a joint research consortium between founding university partners, NTU, Universitas Gadjah Mada (UGM), Universitas Indonesia (UI), Institut Teknologi Bandung (ITB), and Institut Teknologi Sepuluh Nopember (ITS).  Beyond its role as an education hub to facilitate knowledge creation and transfer between NTU and the four Indonesian universities, INSPIRASI is an innovation hub of cutting-edge technology, with a research focus on sustainability, particularly in renewable energy, circular economy and smart cities.

The candidate will join a multidisciplinary research team in the efforts to develop a sustainable novel bioplastics and biomedical products from biopolymer raw materials extracted from plant and animal waste streams currently being worked on in both NTU and Indonesian institutions.

Key Responsibilities:

• Conduct thorough literature review and generate periodic updates

• Synthesize, functionalize, and characterize sustainable novel bioplastic and biomedical products developed from biopolymer raw materials extracted from plant and animal waste streams

• Carry out to assays and analysis to optimize and control the products functional performance (e.g. assess nutrient delivery effectiveness, degradation profile, mechanical strength)

• Carry out biochemical and biological assays to assess bioavailability and cytotoxicity of the developed products

• Ensure compliance with health and safety in all aspects of the research work

• Develop and optimize protocols

• Supervise junior research staff, undergraduate and graduate student projects

• Manage logistical issues and laboratory inventory

• Coordinate collaborative work within multidisciplinary team and external collaborators

• Generate periodic progress report as required by funding agency

• Disseminate research results in reputable peer-reviewed journals and/or international conference

Job Requirements:

• PhD in Materials Science/Chemistry/Chemical Engineering or related fields

• Experience in biomaterial, nanomaterials synthesis, functionalization, and characterization (e.g. TEM, XRD, DLS, FTIR, TGA, ICP, etc.)

• Experience working with biopolymers

• Experience in mammalian cell culture

• A strong track record of research ability and demonstrated contribution to research (e.g., research publications, grant applications, patents)

• Excellent interpersonal skills, and ability to work in a diverse, international, and inter-disciplinary research environment

• Ability to take initiative to improve processes and troubleshoot problems

• Good communication and writing skills

• Ability to work well with multiple competing priorities, manage projects and meet deadlines

• A good team player and able to work independently with minimum supervision

We regret that only shortlisted candidates will be notified.

The Cloud Application and Platform Group (CAP) Group from School of Computer Science and Engineering (SCSE) at Nanyang Technological University, Singapore, is seeking 1 motivated Research Associate in the topic of “Digital Twin for Advanced Battery Analytics”, who is responsible for developing and designing front end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for system design features, among other duties. He/she will take a key role in participating in the development and implementation strategy of a cloud AI platform for industrial application, e.g., data center operations and optimization.

Key Responsibilities:

• Documented steps for initiation of designs (e.g., functional specification)

• Description of system requirement for the entire set up within an organization

• Diagnosing the issue and resolving it on demand

• Developing front end website architecture

• Designing user interactions on web pages

• Developing back end website applications

• Creating servers and databases for functionality

• Ensuring responsiveness of applications

• Working for web design features

• Seeing through a project from conception to finished product

• Designing and developing APIs

• Meeting both technical and consumer needs

• Staying abreast of developments in web applications and programming languages

• Have an idea for fixing the system problems in case of sudden system failure or crash

Job Requirements:

• Master’s degree in Computer Science from a recognized university

• Strong organizational and project management skills

• Proficiency with fundamental front end languages such as HTML, CSS and JavaScript

• Familiar with building web applications with web frameworks such as Flask, Django

• Familiarity with JavaScript frameworks such as Angular JS, React and Amber

• Proficiency with server side languages such as Python, Ruby, Java, PHP and .Net

• Familiarity with database technology such as MySQL, Oracle and MongoDB

• Excellent verbal communication skills and good problem solving skills

• Attention to detail

• Fluent spoken and written English

We regret that only shortlisted candidates will be notified.

The Cloud Application and Platform (CAP) Group from School of Computer Science and Engineering (SCSE) at Nanyang Technological University, Singapore, is seeking 1 motivated research associate in the topic of “Digital Twin for Advanced Battery Analytics”.

Key Responsibilities:

• Collecting and analyzing battery data

• Developing physics-based and data-driven models to characterize battery electrochemical process and health conditions

• Working closely with team members/engineers and assist in developing new features

• Ensuring responsiveness of applications

• Diagnosing the issue and resolving it on demand

Job Requirements:

• Master’s Degree in computer science, computer engineering, electrical engineering, information system or a related discipline

• Good understanding of OOPs concepts

• Proficiency with Python

• Familiarity with packages like NumPy, Pandas, PyTorch or Tensorflow;

• Excellent verbal communication skills and good problem solving skills;

• Able to test, debug and optimize existing code base and other features;

• Attention to detail.

We regret that only shortlisted candidates will be notified.

The Cloud Application and Platform (CAP) Group from Nanyang Technological University, Singapore, is seeking 1 motivated Research Fellow in the topic of “Digital Twin for Advanced Battery Analytics”.

Key Responsibilities:

• Developing physics-based and data-driven models to characterize battery electrochemical process;

• Design and implement algorithms for predicting electrical data at various nodes in the power system;

• Build a simulation platform for emergency scenarios with predictive maintenance features;

• Supervising junior graduate students;

• Writing technical reports, including papers, patents and technical disclosures;

• Working closely with team members/engineers and assist in developing new features;

• Ensuring responsiveness of applications;

• Diagnosing the issue and resolving it on demand.

Job Requirements:

• PhD Degree in computer science, computer engineering, electrical engineering, information system or a related discipline;

• Strong research record, preferably on top-tier computer science/engineering conferences;

• Proficiency with Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;

• Excellent verbal communication skills and good problem solving skills;

• Attention to detail.

• Fluent spoken and written English.

We regret that only shortlisted candidates will be notified.

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations

• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics

• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding

• Enthusiasm, good communication skills, and being able to conduct independent research

We regret to inform that only shortlisted candidates will be notified.

Responsibilities:

• Perform site selection (if applicable), initiation, monitoring and close-out visits in accordance with contracted scope of work and good clinical practice. If applicable, Clinical Research Associates may be accountable for development of project subject recruitment plan on a per site basis. Support work with sites to adapt, drive and track subject recruitment plan in line with project needs to enhance predictability.

• Provide monitoring visits and site management for a variety of protocols, sites and therapeutic areas.

• Administer protocol and related study training to assigned sites and establish regular lines of communication with sites to manage ongoing project expectations and issues. Evaluate the quality and integrity of study site practices related to the proper conduct of the protocol and adherence to applicable regulations. Escalate quality issues as appropriate.

• Manage the progress of assigned studies by tracking regulatory submissions and approvals, recruitment and enrollment, case report form (CRF) completion and submission, and data query generation and resolution. May support start-up phase.

• Create and maintain appropriate documentation regarding site management, monitoring visit findings and action plans by submitting regular visit reports, generating follow-up letters and other required study documentation.

• Build awareness of features and opportunities of study to site.

• Collaborate and liaise with study team members for project execution support as appropriate.

Requirements:

• Bachelor's degree in a health care or other scientific discipline or educational equivalent.

• Minimum of 1+ years of on-site monitoring experience; or equivalent combination of education, training and experience.

• Computer skills including proficiency in use of Microsoft Word, Excel and PowerPoint and use of a laptop computer

• Good written and verbal communication skills

• Good organizational and problem-solving skills

• Effective time management skills

#LI-Hybrid

#CRAFSAJD

#CRASDAJD

IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at https://jobs.iqvia.com

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Automotive Vulnerability. The position involves the development of testbeds, research electric vehicle charging’s app, pen-testing, tampering, and other security threats. He/she should possess experience or interest in at least one of the following research areas:

• Cyber Security
• Artificial intelligence
• Machine learning

Qualifications

• A Bachelor degree in a relevant area (Master degree is a plus);
• Ability to work in a team; and
• Good oral and written communication skills in English.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Computer Science

Employee Referral Eligible: No

Job requisition ID : 23106

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 main responsibility is in the theoretical analysis, circuit modelling and design, and implementation of topolectrical and non-linear circuits. Specifically, the candidate will work on these specific areas:

1) Floquet circuit realizations involving time-periodic systems

2) Memristive topological electrical circuits. These involve memristors, known as the fourth fundamental circuit element, exhibit a non-linear current-voltage relationship. This non-linear behavior could offer new insights into topological circuits, potentially enabling the storage of topological phases.

3) Quantum circuit realizations using classical topoelectrical circuits. While achieving quantum operations in classical circuits is challenging due to component imperfections, topolectrical circuit approaches can mitigate these imperfections.

Qualifications

• Possess a PhD in Electrical Engineering or related fields
• Knowledge in topolectrical circuits, and related topics of quantum theory, non-linear systems and topology.
• The candidate should also be knowledgeable in circuit and PCB simulation tools and has experience in circuit/PCB implementation and characterization.
• Open to Fixed Term Contract

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 23091

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 working with plant derived molecules that have chemical toxicity and photodynamic antiviral and antibacterial properties as naturally derived agents.

• The successful candidate will need to work with viruses and bacteria and be able to perform some chemical synthesis and characterization.

• Interested parties, please submit your CV via the portal. Send enquiries to David Leong ([email protected]).
• Regrettably, only potential candidates will be contacted for an interview.

Job Requirements

• A Bachelor degree in the life sciences or chemical engineering or biotechnology disciplines. Masters degree holders in the above disciplines are welcomed to apply.

• Bacterial and/or viral work experience are essential skills.

• Molecular cloning will be an advantage for the job.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Chemical and Biomolecular Engineering

Employee Referral Eligible: No

Job requisition ID : 23105

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 research on redesign strategies to facilitate automation for construction industry from the perspective of tasks, environment, and components.
• To research and develop system of modular and reconfigurable robots and the relevant components. The aim is to enable a wide spectrum of manual works commonly encountered in construction industry to be completed by automation.

Qualifications

• PhD degree in Electrical Engineering or Mechanical Engineering;
• Experience in mobile manipulator (both hardware and software);
• Experience in ROS and robot simulation;
• Excellent communication skills;
• Good team player.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID : 23131

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 a highly motivated Research Fellow candidate to join Dr Jiong-Wei Wang’s research programs to work on a heart immunology project in the Cardiovascular Research Institute and Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore. PI’s information can be found at https://medicine.nus.edu.sg/researchers/wangjiongwei/ or https://orcid.org/0000-0001-7986-6082 or https://www.researchgate.net/profile/Jiong-Wei-Wang or https://scholar.google.com/citations?user=HnUqhCMAAAAJ&hl=en

The candidate is expected to work independently in a dynamic and multidisciplinary environment. In collaboration with A*STAR (Dr. Florent Ginhoux and Dr. Baptiste Janela), the project aims at elucidating the roles of specific immune cell populations in heart injury and identifying therapeutic targets for cardiovascular disease, focusing on the immunology perspectives in ischemia heart disease. The candidate will perform cell culture, western blotting, FACS analysis and a variety of cell viability assessment assays, as well as in vivo experiments in mice, ranging from daily care to surgical procedures and the interpretation of the results. Apart from own projects, the candidate may supervise junior staff and students, and provide support to the research group, as delegated by the PI. The appointment is on a 2-year contract base in the first instance with a possibility of extension. The candidate will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the experiments on time.

Qualifications

The applicant should have:
(a) A PhD degree in pharmacology or biomedical research; preferably with experience in immunology and animal studies. Experience in myocardial infarction animal models will be prioritized.
(b) An excellent publication record in cardiovascular research field.
(c) Extensive experience in flow cytometry and animal experiments as well as cell culture and molecular biology skills.
(d) Team player with an investigative nature and attention to details.

Remuneration will be commensurate with the candidate’s qualifications and experience. The candidate is eligible for 28 days annual leave and staff welfare including medical insurance.
Contact: [email protected]

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Surgery

Employee Referral Eligible: No

Job requisition ID : 19093

Project Overview

We are seeking one or more Postdoctoral Associates, Research Engineers, or Research Scientists in social sciences or related fields to join a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

One important goal of the project is to develop a rich taxonomy of activities that can be performed by human-AI teams. Like mapping the plants and animals on an unexplored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge bases that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into taxonomies that range from very general types of activities to very specific ones.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing descriptions of current or potential activities and processes based on techniques such as: interviews, surveys, field studies, ethnographic observations, and literature reviews.
• Making editorial decisions about what content to include in the knowledge base, how to present it clearly, and how to organize it in ways that are logical, comprehensive, widely understandable, intuitively appealing, and conceptually elegant.
• Using human-subject experiments and other social science methodologies (such as cluster analysis) to help improve the above activities as well as to inform and evaluate the development of software tools based on the knowledge bases being developed.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Job Requirements

• Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Management, Organizational Behavior, Philosophy, Journalism, Computer Science (e.g., with a focus on Human-Computer Interaction), or other related fields by the start of the appointment.
• Excellent communication and collaboration skills.
• DESIRABLE:Strong publication record in top-tier conferences and journals.
  Familiarity with statistical data analysis tools and techniques.

This role is primarily based in Singapore.

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

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

Project Overview

We are seeking one or more Postdoctoral Associates, Research Engineers, or Research Scientists in computer science or related fields to join a project on “Designing human-AI teams,” which is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans, and how humans can take advantage of the increased usefulness of AI systems across many tasks.

We will start by combining techniques from computer science and the social sciences to create online taxonomies of tasks and design space maps of many ways humans and AI systems can work together. For example, we will experiment with using machine learning or other techniques to discover patterns in data such as process repositories.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing semi-formal descriptions of activities and processes that can be performed by people and/or AI systems.
• Developing database and user interface tools for online knowledge bases of these activities and processes.
• Develop software applications that use these online knowledge bases to, for example:suggest innovative ways of combining humans and AI to solve various kinds of problems.
  specify detailed workflows, task assignments, and software modules to do this.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science or Engineering (including Artificial Intelligence, Machine Learning, and Human-Computer Interaction)
• Excellent communication and collaboration skills.

This role is primarily based in Singapore.

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

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

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Good communications skill in both written and verbal English

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Computer Science

Employee Referral Eligible: No

Job requisition ID : 22289

Project Overview

We are seeking one or more Postdoctoral Associates, Research Engineers, or Research Scientists in social sciences or related fields to join a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

One important goal of the project is to develop a rich taxonomy of activities that can be performed by human-AI teams. Like mapping the plants and animals on an unexplored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge bases that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into taxonomies that range from very general types of activities to very specific ones.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing descriptions of current or potential activities and processes based on techniques such as: interviews, surveys, field studies, ethnographic observations, and literature reviews.
• Making editorial decisions about what content to include in the knowledge base, how to present it clearly, and how to organize it in ways that are logical, comprehensive, widely understandable, intuitively appealing, and conceptually elegant.
• Using human-subject experiments and other social science methodologies (such as cluster analysis) to help improve the above activities as well as to inform and evaluate the development of software tools based on the knowledge bases being developed.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Job Requirements

• Bachelor’s or Master’s degree in Social Science (such as Psychology, Sociology, Political Science, and Economics), Management, Organizational Behavior, Philosophy, Journalism, Computer Science (e.g., with a focus on Human-Computer Interaction)
• Excellent communication and collaboration skills

This role is primarily based in Singapore.

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Purpose of the post

The Visiting Senior Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the experiments on time. The RF’s principal role will be to work in general practices such as planning and conducting experiments, data collection, data entry and analysis.

Main duties and responsibilities

The Senior Research Fellow will liaise with the relevant personnel in the Department and Immunology programme to effectively conduct the project and will be accountable to the Principle Investigator (PI). The RF will be able to:

1. Oversee the general management of the project;
2. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
3. Undertake the day to day running of the project, e.g. Collaborate with team members at the study sites, recruitment, data collection at hospitals/participants’ homes;
4. Conduct literature searches, and analyse data, as well as assist in preparing both progress and final reports of the project;
5. Maintain the highest standard of professional conduct in accordance with policies and procedures;
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. have a Ph.D. degree with good results in the field of biomedicine with prior experience in research being essential; and
2. be able to work independently and in a team, have an investigative nature, attention to detail; and
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint, and
4. have experience and in-depth knowledge in the field of immunology.

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

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Physiology

Employee Referral Eligible: No

Job requisition ID : 23085

DesCartes Program is looking for one RF position in Optimization-driven hybrid AI

ABOUT DESCARTES

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

WP3 aims at

supporting the whole Descartes program in order to develop advanced optimization-based solutions in the context of hybrid AI. Any AI system or machine learning algorithm ultimately involves a formulation with an objective or loss function to be minimized. The modelling of the problem as well as the chosen objective function optimization algorithm is crucial to the success of the overall AI task. This is all the more crucial in the context of hybrid AI, which seeks to integrate physics-inspired models with machine learning algorithms. We will address this problem from two complementary angles, namely optimization-based methods and machine learning-based methods.

The Research Fellow (RF) is expected to contribute to the design and engineering of hybrid twin-based simulation and control architectures for urban critical systems using optimization-based techniques. Finally, the RF will contribute to the use cases of Descartes.

EXPERIENCE & QUALIFICATIONS

Competences in some of the domains listed below will be highly considered:

· Signal and Image processing

· Optimization

· Machine Learning.

Keywords:

1. Artificial Intelligence

2. Signal processing

3. Image processing

4. Optimization (convex, non convex)

5. Machine learning

6. Deep learning

7. Programming (python)

FURTHER INFORMATION & CONTACT

Salary range: SGD6,900 to SGD9,000 per month (depending on suitability and experience)

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602

Interested applicants please send your resume to:

Email : [email protected]

Email : [email protected]

Email : [email protected]

– Please attach your full CV, with the names and contacts (including email addresses) of two character referees.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant position is available immediately in A/Prof Victor Yu’s laboratory at National University of Singapore (NUS).

The successful candidate will assist the senior team members in investigating the role of MOAP-1 in aging, senescence and lipid metabolism.

The Research Assistant will be involved in wet lab experiments that involve cell cultures and mouse work using standard molecular biology and biochemistry techniques. The Research Assistant will also assist in general laboratory maintenance, for example conducting preventive maintenance of equipment and other miscellaneous tasks such as buffer preparations and ordering of consumables.

Key responsibilities of this role include:
• Perform assigned tasks to support ongoing research projects.
• Assist with mice husbandry and animal experimentation/procedure.
• Maintain up to date records of inventories for chemical/ biological reagents.
• Assist with general upkeep of laboratory and maintain safety protocols.
• Contribute to the preparation of research manuscripts and reports
• Perform other related duties incidental to the work described therein.

Interested candidates please submit a detailed curriculum vitae, contact information of 3 referees and indicating your earliest availability.

Qualifications

• Qualifications / Discipline:

Bachelor’s Degree in Science.

• Skills:
• Good oral and written communication skills
• Ability to work in a fast-paced team-based environment.
• Other desirable attributes: self-motivated, organized, meticulous, efficient, and flexible.

• Experience:

Prior experience working in a wet lab setting in life sciences will be given priority in the selection process, especially those with prior experience in cell culture, DNA, protein or mouse work.

More Information

Location: Kent Ridge Campus

Organization: Science

Department: Pharmacy

Job requisition ID: 23084

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. Tian Chong on organic synthesis under a project on Novel Active Template Synthesis of Rotaxanes.

The main responsibilities of the position include:
• Research tasks (90%): to carry out research to design and synthesize rotaxanes via novel active template strategies.
• Laboratory safety/ordering (10%): to aid in ordering and maintaining lab supplies, create and review standard operating procedures and risk assessments, assemble reagents, chemicals and media that are needed for experiments.

Qualifications

• Qualifications / Discipline:
PhD of Science required with major in Organic Chemistry. Candidate with strong background in organic synthesis and excellent record of publication is preferred.

• Skills:
1. Have an excellent understanding of chemistry.
2. Have expertise in multi-step synthesis.
3. Communicate well in English in writing and in oral and visual presentations.
4. Show an ability to work supportively in a laboratory environment.

• Experience:
Experience in organic synthesis and spectroscopic techniques for compound characterization.

More Information

Location: Kent Ridge Campus

Organization: Science

Department: Pharmacy

Job requisition ID: 23063

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focusses on developing the technology and demonstrators for Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research engineer with proven knowledge and experience in researching, designing, and testing of microwave circuits and subsystems.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Several years of experience in the simulation and design of microwave circuits and subsystems.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• Open to fixed-term contract.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 23071

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 Prof. LIU Xiaogang on the development of lanthanide-based biosensor-enabled quantum sensing system under a project on Quantum sensing for health science based on nv centers in diamond.

The main responsibilities of the position include:
• To independently undertake research in the development of lanthanide-based biosensors for quantum sensing.
• To lead the production of research reports and publications as required by the grantor.
• To assist PI in supervising the students involved in the project.
• To undertake any other duties relevant to the research project.

Qualifications

• Qualifications / Discipline:
1. PhD in materials science, polymer chemistry and engineering, optical physics, or strongly related fields.
2. Ability to work independently and collaboratively with colleagues.
3. Demonstrated a high level of formal written and oral communication skills.
4. Evidence of contributions to research including peer-reviewed publications.

• Skills: NMR spectroscopy, UV-Vis spectroscopy, TEM, SEM, XPS, nanoparticle synthesis, optoelectronic characterization, thermo gravity analysis, etc.

• Experience:
1. Proficient in the preparation and characterization of luminescent materials including organic-inorganic hybrid materials and polymer semiconductors.
2. Experienced in the fabrication of nano/micro-optoelectronics.

More Information

Location: Kent Ridge Campus

Organization: Science

Department: Chemistry

Job requisition ID: 23066

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This role is to provide essential support in scaling up models, optimizing processes, and facilitating technology transfer, with a specific focus on utilizing chemical and biological methods for effective decarbonisation.

Duties and Responsibilities

You will be instrumental in advancing the decarbonization initiatives from laboratory experimentation to pilot-scale operation. Your responsibilities will include:

• Designing and conducting experiments at the laboratory scale to refine various processes, materials, and products, aiming for optimal efficiency.
• Executing experiments for scaling up processes from laboratory-scale to actual operational scale.
• Identifying and addressing challenges associated with scaling up, ensuring a seamless transition and process integrity.
• Collecting and analysing data, preparing comprehensive reports, and delivering presentations that summarise research findings.
• Collaborating with team members to ensure the successful implementation of research projects within designated timelines and budgets.
• Maintaining accurate records of experimental protocols, data, and observations to ensure reproducibility and traceability of results.

Qualifications

• An undergraduate or graduate degree in Aquaculture, Chemistry, Biology, Material Engineering, Chemical Engineering, or a related scientific field.
• Proven expertise in designing and conducting experiments and utilising analytical techniques and equipment.
• Strong communication skills, both written and verbal, with the ability to present technical information clearly and effectively.
• A collaborative mindset and the ability to work effectively within a team.
• Strong organisational skills and the ability to manage multiple tasks simultaneously.
• An understanding of laboratory safety protocols and regulations.

More Information

Job Type: Contract (1-year)

Location: Kent Ridge Campus

Organization: NUS Enterprise

Department : Technology Transfer and Innovation

Job requisition ID : 23051

Summary of Role:

The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Requirements:

• Degree in relevant fields with minimum of 2 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement.
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.
• Ability to work in a multi-task environment.

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

Augmented Huma Lab, at the Smart Systems Institute, National University of Singapore is seeking a motivated postdoctoral researcher with expertise in Human Computer Interaction (HCI) with expertise in on body haptic feedback and Mixed Reality (MR) systems. The Research Fellow will be responsible for working closely with the Principal Investigator (A/Prof Suranga Nanayakkara). He/She will work on prototyping to bring haptic feedback into MR interactions aimed at extending our perceptual & cognitive capabilities.

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 6 months. The selected candidate will be offered competitive salaries and benefits

Major responsibilities include:

1. Conduct original, impactful research.

2. Provide guidance to PhD students, Research Engineers in the group.

4. Dissemination of the research outcomes via journal/conference papers and contribute to research grant proposals

5. Participation in industry project meetings as well as industrial/academic events.

Qualifications

• PhD in Computer Science (or equivalent) with HCI focus
• Experience and interest in designing on body Haptic Feedback
• Good track record of research with a good publication record
• Excellent communication skills (written and verbal) and interpersonal 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 successful candidate will work with A/Prof Wu Jie starting around Nov-2023 under a project on “heterogeneous photocatalysis and automated synthesis”.

The main responsibilities of the position include:
1) Perform high quality research under PI’s supervision
2) Draft and publish high impact journals
3) Help PI to write research grant
4) Mentor junior research students

Qualifications

Qualifications / Discipline:
• Ph.D. degree in organic chemistry or strongly related fields, and should have proven track record of excellence in experimental research.
• Candidate with experience and knowledge in total synthesis is preferred.

Skills:
• Organic synthesis; analytic instrument

Experience:
• Strong tracking record on organic synthesis

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.