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 position will involve the design and operation of tubular flow reactors for a variety of single- and multi-step organic synthetic transformations, including, but not limited to, multi-phase (gas-liquid) reactions, photoredox chemistry and electrochemistry. The primary space of applications will be in the manufacture of functional molecules as active ingredients for the pharmaceutical and agrochemical industry. Candidates with deep experience in the setup and operation of flow reactors and the associated online/offline analytical instrumentation are encouraged to apply.

Job Requirements

Ph.D. in chemistry or chemical engineering, including 3+ years of experience in organic synthesis and flow chemistry

Come and join us as our delicatessen & wine retail expert, with experience & knowledge of Cheese & Wine, and with an interest of gourmet food.

Retail Associate (Full time)

Customer Service

• Greet and welcome customers
• Create a healthy shopping experience throughout the store by sharing product knowledge with our customers
• Answer enquiries and offer suggestions to our customers
• Manage cash register
• Packing of purchased items

Store Preparation

• Assist in the receiving of deliveries to our store
• Replenish shelves with products
• Maintain the cleanliness of the store
• Previous work experience in retail operation and customer service will be an advantageous, but training can be provided for those who do not have.
• Excellent communication and interpersonal skills
• Can work well under pressure when store is busy
• Team work
• Able to work on weekends and public holidays
• Work place : Great World City
• Part-time positions are available as well, housewives are welcome to apply

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 department of Philosophy at the National University of Singapore invites applicants for a ten month Visiting Research Associate Professorship starting in early 2024. The position is affiliated with a project on decision-dependence in normative philosophy, aiming to develop a general framework for making decisions when the evaluation of options depends on or is affected by which option is chosen. Applicants should have at least one area of specialization, and ideally more than one, in a normative field, including ethics, rationality, epistemology, and/or decision theory. The Visiting Research Associate Professorship is a purely research position; no teaching duties are required.

The application should include:
- A CV (Required)
- A Writing Sample (Required)
- Four Letters of recommendation (Required)

If you have any questions, feel free to contact Abelard Podgorski ([email protected])

Qualifications

A PhD in Philosophy or a related field.

More Information

Location: [[Kent Ridge Campus]]

Organization: [[NUS]]

Department : [[Philosophy]]

Employee Referral Eligible: [[NA]]

Job requisition ID : [[23212]]

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

The mission of the Office of Alumni Relation (OAR) is to nurture mutually beneficial and lifelong relationships with alumni and engage them along NUS’ aspirations. The Alumni Communications team supports this mission by reaching out to and strengthening bonds with the University’s alumni in the following ways:

• Implement effective communication initiatives to increase awareness of the University's latest news and initiatives, nurture a sense of belonging and build pride among alumni.
• Strengthen alumni engagement through digital plaforms.

Duties & Responsibilities

As the Head, Alumni Communications, you will be responsible for leading the alumni communications team in implementing communication strategies to promote the NUS alumni network and drive engagement with alumni.

Branding & Marketing

• Develop and implement branding strategies that enhances the University's image and reputation among alumni.
• Manage and upkeep all brand elements including logos, icons and taglines.
• Maintain a consistent and compelling brand message across all communication channels and branded gifts.

Publications

• Oversee the planning, production and distribution of alumni publications including the half-yearly print version of The AlumNUS as well as the biennial NUS Alumni Awards and OAR booklet.
• Identify, appoint and manage vendors for the design and printing of publications, and ensure timely delivery of high-quality publications.

Event Marketing

• Provide guidance to colleagues from alumni engagement for event marketing initiatives, including email campaigns, web banner displays, organic and paid social, and instant messaging platforms.
• Oversee and optimise the email marketing schedule for alumni; maintain a consistently high standard of engaging email content to minimise unsubscribe rates.
• Utilise data analytics to measure the success of digital campaigns and optimise strategies for improved outcomes.

Digital & Social Media

• Develop and coordinate social media strategies to engage alumni across various platforms, including Facebook, LinkedIn, Instagram and WeChat.
• Monitor social media trends and analytics to assess the effectiveness of communication efforts and adjust strategies accordingly.
• Amplify and celebrate achievements by alumni on social media.
• Oversee revamp of department website

Qualifications

• Bachelor's degree in communications, marketing, or a related field.
• 8 to 10 years of proven track record in a marketing or communications function with at least three years in a leadership position.
• Strong leadership skills and excellent stakeholder management abilities.
• Organised, meticulous and able to manage concurrent projects.
• Strong project management skills with the ability to multi-task in a fast-paced environment.
• Excellent communication and interpersonal skills.

More Information

Location: Kent Ridge Campus

Organization: Office of Alumni Relations

Department : Alumni Cultivation & Engagement

Employee Referral Eligible:

Job requisition ID : 23092

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

Job Description

You will be handling and direct incoming calls, receive walk-in clients/visitors, arrange for daily courier service, manage incoming and outgoing mails, upkeep the reception and meeting rooms area. You will also provide other administrative support such as prepare invoicing, sales quotation, maintenance of copier machine, monitor stationery supply, printing and filing of documents.

Job Requirement

* Possesses minimum NITEC/ Higher NITEC qualification

* Minimum 2 years of relevant working experience

* Well versed in Microsoft Word and Excel

* Strong verbal communication skills

* Customer oriented and able to work in a team

* 5-days work week

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

[What the role is]

The Centre for Climate Research Singapore (CCRS) is a division of the Meteorological Service Singapore (MSS). At CCRS, our mission is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Our vision is to be a world leading centre in tropical climate and weather research focussing on the Southeast Asia region.

Within CCRS, the Department for Weather Research (DWR) is responsible for the research and, development of core seamless modelling systems for both weather and climate applications in Singapore and Southeast Asian region, and transition to operations of local numerical weather prediction (NWP), marine and haze/air quality forecasting with lead times up to a week ahead. The DWR works closely with CCRS’s Department of Climate Research (DCR) and High Performance Computing (HPC) Branch, MSS forecasters, local universities, and a number of international organisations including the UK Met Office, Australian Bureau of Meteorology, and US National Centre for Atmospheric Research (NCAR). Since 2021, CCRS has been a core member of the international Unified Model (UM) partnership.

The Numerical Weather Prediction (NWP) Branch sits within DWR. The NWP branch is responsible for developing and improving nowcasting and local (km-scale and below) NWP systems, and translating the outputs into customised products for supporting MSS weather services and other stakeholders. The branch also works closely with local agencies, institutes of higher learning and UM partners to share research outcomes and deliver improved forecast products for the region.

Data assimilation (DA) is a form of data science that combines observations and model output to provide an analysis of the state of a system at a particular time. Within the NWP Branch of CCRS, DA is a key R&D area used to initialise NWP forecasts through the assimilation of a wide range of space- and ground-based observations.

[What you will be working on]

• Keeping abreast of the latest research directions in data assimilation for NWP.
• Developing and testing the assimilation of select new observation types in operational numerical weather prediction systems.
• Exploring advanced data assimilation algorithms, especially those leveraging ensemble NWP systems, and machine learning techniques.
• Working in collaboration with CCRS’ local and international strategic partners to leverage DA research and development in the wider community within CCRS’ DA capabilities.
• Publishing research outcomes in peer-reviewed publications and presenting findings at international meetings.

[What we are looking for]

The job might be for you if you possess the following:

• Masters or PhD degree (or equivalent) in meteorology, data science, mathematics or a related field.
• At least 3 years research experience in developing and/or applying advanced data analytics in weather research projects.
• High level of proficiency in scientific computing.
• Familiarity with NWP systems and data assimilation is highly desirable.
• Research experience in meteorology, atmospheric science or a related topic is desirable.
• Good written and verbal communication skills, with publications in peer-reviewed journals are desirable
• Ability to work effectively to deadlines on individual projects and as part of a diverse team.
• Interest and passion to deliver relevant R&D for societal benefits.
• Ability to network effectively with the local and international research community.
• Ability to engage and communicate with scientists and stakeholders from diverse communities.
• As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment

To apply, please proceed to Careers@Gov at https://sggovterp.wd102.myworkdayjobs.com/PublicServiceCareers/job/NEA-KIM-CHUAN-OFFICE/Senior-Research-Scientist--Research-Scientist--Numerical-Weather-Prediction-Branch-_JR-10000021985

Job Purpose:

The psychologist is expected to provide a full range of evidence-based and best practices in psychological services to students including conduct psychological assessments, deliver interventions and manage crisis situations. You are also function as a member of the allied professional team to collaborate with stakeholders, maintain professional and ethical standards, undertake research and continuous improvement and uplift professional practice of psychology in education.

Key Responsibilities:

• Provide individual and group services to students that emphasize improved educational performance and/ or conduct.
• Screen and evaluate referred students including selecting appropriate instruments, administering tests, observations, and writing reports which state the evaluation findings and provide for educational programme recommendations.
• Participate as a member of the inter-disciplinary team and the individualized education (IEP) and individualized transition planning (ITP) committee contributing evaluation findings and collaborating on the implementation of students' ITP.
• Provide collaborative consultation and documentation of results including assisting basic education staff with suggestions and implementation of remedial programme, pre-referral intervention strategies, and provided recommendations and modifications to assist basic education staff in working with special education students in the classroom setting.
• Consult parents, teachers, and other appropriate staff regarding the student’s programme and any adaptations/ materials needed to facilitate improved performance in the classroom or at home.
• Provide direct services through a variety of methods (e.g. classroom presentations, co-teaching in general education settings, in-serices to staff/ parents, etc.) as needed.
• Maintain accurate data on students to document current levels of performance and other pertinent information. Re-evaluate, as appropriate, to determine extent of progress and effectiveness of therapy.
• Establish and monitor the necessary caseloads, procedures, and resources to manage school psychologist services to students/ staff and work cooperatively to accomplish the goals of the IEP.
• Adhere to the ethical standards and codes of the profession and to the established rules and regulations governing special education programmes set by APSN.
• Participate in activities that promote professional development and use clinical/ educational research to enhance therapy services.
• Conduct standardized assessments for students in Tanglin School, and other APSN schools and Centre for Adults, if necessary, which may include intelligence testing and adaptive behavioural functioning, and contribute to the assessment of other development disabilities (e.g. ASD, ADHD).

Job Requirements:

• Possess a Masters in Applied Psychology/ Clinical Psychology from an accredited university and be registered/eligible for registration with SRP or an equivalent professional body.
• Candidates who process only a Degree in Psychology will be considered for the position of Psychologist Associate.
• Possess a minimum of 2-3 years of work related experience with relevant exposure in the area of intellectual disability or other related disabilities.
• Good communication, team work, and interpersonal skills
• Passionate for working with persons with intellectual and developmental disabilities
• Clarity and organised thought processes with good verbal and written communication capabilities.
• Proven experience in clinical setting, counselling practices, scientific research, teaching, and well-versed in occupational and educational psychology

Job Requirements:

Technical Competencies

• Possesses a Master in Educational, Counselling or Clinical Psychology from an accredited university.
• Eligible for registration with the Singapore Register of Psychologists.
• Fresh graduates are welcomed to apply.

Core Competencies

• Effective communication and interpersonal skills to convey thoughts and ideas succinctly to various stakeholders, as well as to foster positive relationship and collaboration.
• Effective time management and organisation skills to deliver work expectations independently.

Preferred achievements/characteristics

• Prior working experience in a special education setting will be an added advantage.

Working Location

• Choa Chu Kang

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

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.), is a Joint Venture between NXP and TSMC. We offer flexible and cost effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom environment, 100% equipment automation and proven wafer-manufacturing processes.

At SSMC, every career journey is unique and rewarding. We're looking for innovative, passionate, and talented people like you to join our team.

We’re searching for a Senior Associate Engineer to be part of our Furnace Equipment Department diverse team of talent. You will be responsible to assist the Engineers to improve and sustain equipment performance and Cpk indices to meet operations goals

What you will be working on:

• Perform 12-hour shift duties to support the running of Production in the Module and ensure equipment readiness and worthiness for production
• Perform scheduled preventive maintenance (PM) and calibration on a timely basis
• Assist Engineers in the installation and hook-up of new equipment
• Trouble-shoot equipment-related issues and minimize equipment downtime
• Assist in implementing process improvement projects
• Assist new Associate Engineers on their On-The-Job-Training (OJT) by acting as their buddy
• Participate in QIT programs to improve productivity and output quality of the Module, and constantly monitor and feedback to Engineers to improve performance of equipment to meet Module objectives
• Maintain good housekeeping in the production area, ensuring good safety practice and also safe custody of tools, equipment and other properties belonging to the Module

More about you:

• Min 2 years of relevant working experience
• Direct experience in Furnace Equipment will be advantage
• Willing to work in 12-hours shift

SSMC is committed to equal employment opportunities and abides by the Tripartite Guidelines on Fair Employment Practices (TGFEP). All qualified applicants will receive non-discriminatory consideration for employment on the basis of merit and regardless of age, race, gender, religion, marital status and family responsibilities, or disability, or any other attributes as protected by the relevant laws.

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.