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 postdoctoral fellow will work closely with Asst. Prof. Patrick Rebentrost in the intersection of quantum algorithms and optimization, machine learning and/or finance. Sample topics include quantum algorithms for problems in supervised and unsupervised machine learning, algorithmic learning theory, and online learning, and quantum algorithms for financial problems such as portfolio optimization, pricing of financial derivatives, and hedging. The job will include the development of quantum algorithms in these areas, with provable quantum advantages and provable guarantees, when possible, in fault-tolerant models of quantum computation. The job will also include the development of algorithms that are easier to execute on available hardware such as variational and post-variational methods and quantum approximate optimization. Furthermore, the aim is to provide hardware implementations on available devices, comparisons between available hardware providers, and classical simulations of the quantum algorithms. For this purpose, the successful applicant will be granted significant independence concerning their research and receive generous travel funding. They will be expected to contribute to the group, for example by co-supervising student projects and assisting with outreach activities.

Qualifications

• Strong track-record working on technical aspects of quantum algorithms and/or quantum information. Strong candidates with proven expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply.

• The candidate is expected to have a PhD in electrical engineering, computer science, physics or applied mathematics and a substantial publication record in theoretical quantum computing/information.

• Strong research profile and proven ability to communicate research

Responsibilities:

• Responsible for co-leading and supporting PI in managing the full life cycle of R&D projects, from scoping, initiation, planning, executing through to completion:

- establish communication plans, build project schedules, milestones and deliverables.

- manage project risk, scope, budget, resources, schedule and KPIs

- interact and communicate with internal and external stakeholders

- track project progress against milestones and budget

- prepare reports to management and grantors

- ensure that projects adhere to established policies, guidelines, standards, and methodologies.

• Support the implementation and maintenance of the Project Management Information System (A*PS)
• Project Management related SOP writing and development

Other Responsibilities:

• Other ad-hoc duties and assignments as may be assigned by Reporting Officer/Director

Job Requirements:

• Minimum of Bachelor of Science in Biomedical Sciences, Biochemistry, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• At least 3 years of working experience preferably in the medtech, healthcare, or biomedical industry
• Strong background in Microbiology, Molecular Biology, Biochemistry, Genetics and Genomics
• Experience with project management, developing and implementing project plans preferred.
• Demonstrable experience of developing and maintaining key project documentation to a high standard
• Knowledge and competence in industry engagement and intellectual property would be advantageous
• Highly motivated and able to work independently
• Strong analytical, technical, and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication skills

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

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. Noah Lim under a project on Multicomponent Formulations For Coatings That Increase The Shelf Life of Perishable Goods.

The main responsibilities of the position include:
1. Participate in project operation.
2. Fruit market survey.
3. Screening and optimization of edible components for fruit extension shelf-life coating formulation.
4. Structure analysis of formulated coating/thin film

Qualifications

• Qualifications / Discipline: Bachelor Degree in Chemistry/Materials/Food Science and Technology.

• Skills: SEM, Confocal Microscope, FTIR, HPLC, sensory evaluation, etc.

• Experience: With expertise in food science, formulation development, polymer science, biomaterials.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Senior Research Fellow position in Prof Brian Kennedy’s lab, part of the Department of Biochemistry and the Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on basic, clinical and transformative research to add healthy year of life by developing interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality.

Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Senior Research Fellow (SRF) will be responsible to and work closely with Professor Brian Kennedy to provide support in research projects to advance the understanding of aging biology and age-related diseases, with a specific focus on identifying novel anti-aging compounds (drugs, natural products, metabolites, etc.) that can delay cellular aging and extend healthspan. This includes assessing the effectiveness of these potential compounds in various age-related disease models, including neurodegenerative disorders, cardiovascular diseases, diabetes, cancer, sarcopenia, age-related macular degeneration, and skin ailments.

Main Duties and Responsibilities

1. Independently lead, design and perform experiments on research projects with experience in biology of ageing and therapeutic interventions for age related diseases.
2. Conduct literature searches, experimental plans, and data analysis independently and reliably
3. Assist Principal Investigator in preparing grant proposals, progress reports of research projects.
4. Has experience, able to supervise and conduct techniques in the following areas:
5. High-throughput drug screening techniques
6. Mechanistic studies in ageing models, such as cells, yeast, C. elegans, fish, mice
7. Basic molecular biology techniques such as molecular cloning, gene expression, protein expression/purification, immunoprecipitation, Western blots.

Main Duties and Responsibilities

5. Knowledgeable in the areas of Cellular metabolism, Nutrients signaling, Biological stress, Chemical genomics, Drug discovery

6. Able to train and supervise junior lab members in conducting research projects.

7. Assist with any other duties such as guiding junior lab members on presentations, proprosal writing, etc.

8. Assist with any other duties of a similar nature that are delegated by the PI.

9. Able to effectively exchange ideas and knowledge with other team members, collaborators or other stakeholders in the scientific community

10. Strong team player skills and the ability to work harmoniously with a diverse workforce.

Application

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

Formal Application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

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

• Perovskite Solar Cells
• Electrochromic window
• Neuromorphic Computing
• Nanomaterials Synthesis
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, electric and computer engineering, or chemical engineering.
• Ample research experience in synthesis of nanomaterials and nanocomposites, perovskite solar cells, smart windows, neurocomputing
• Solid background/experience in materials for optoelectronics and memristors.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

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 project will focus on the multi-agent search problem, where multiple autonomous robots (agents) are tasked with spreading over a given region to be explored, to locate given targets of interest trying to evade detection. The number of targets is unknown, and their initial position is not known as well. There might be obstacles in the domain, and their location might or might not be known. Throughout this work, we will assume that robots can communicate their observations (presence/absence of targets) during search, via local or global communications, so they can update their representation of the domain and likely location(s) of targets (more details about this representation in the next Section). Our goal is to allow robots to plan efficient search paths to cover the domain and localise the targets as quickly as possible, while relying on local sensing and on distributed intelligence rather than on centralised planning, which would represent a vulnerable bottleneck and would not scale well to large agent teams.

Qualifications

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)
• Literature review/summarizing skills
• Simulations abilities (e.g., AirSIM, ROS Gazebo)
• Experience with implementation of deep learning model on hardware (e.g., ground/aerial robots)
• Experience publishing papers, and supervising undergraduate/master’s students

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

- Station on-site and perform daily inspection and preventive maintenance works in Mechanical and Electrical Systems according to Scheduled Maintenance

- Attend to feedback, Breakdown and customer service requests

- Attend to Fault-Calls and carry out rectification of Faults within specified time and budget

- Supervise and coordinate with contractors and vendors on works according to scheduled maintenance, repair, shut-down and overhaul works

- Assist Engineer/Manager to update records of Mechanical and Electrical system servicing reports and monitor the performance of the systems and equipment

Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.

Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.

Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.

Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.

Summary:

CMA CGM has a fleet of powerful, diversified and environmentally-friendly fleet of vessels, we have an opening for a forward-thinking team-player to join our QHSE team in Singapore.

As a Marine Safety Officer, you will responsible to ensure that your assigned fleet of vessels are in compliances with IMS and all relevant international rules and regulations, and you perform your duties accordingly with the company’s quality, health, safety, environmental and ethics policies. You will be monitoring vessels’ continuous performance improvement plan, ensuring timely periodical reports are submitted.

Key responsibilities:

• Ensuring the implementation of the Integrated Management System and the Ship Security Plan
• Promote good communication between ashore departments and ship crew
• Ensuring the seaworthiness of assigned vessels (i.e: properly manned, maintained and equipped)
• Management and follow-up of ISM, ISPS, MLC, ISO and flag audits
• Handling QSSE audits or inquries onboard your assigned vessels
• Monitoring of corrective and preventive actions
• Accident investigation
• Regular vessels inspections and port visits in accordance to company’s KPIs
• Conducting trainings when required for both shore staffs and ship crew

You will be the contact point of flag administrations and support Fleet department with the classification societies (RO). You will be required to participate in the Emergency Response Team when necessary.

Minimum qualifications / experience:

• Sailing experience as Captains (or minimally as an experienced Chief Officer) on-board merchant ships, preferably container vessels
• Trained in ISM and ISO Internal audits, CSO and accident investigations
• Knowledge in QHSE management
• Excellent verbal and written communication in English
• Ability to work both independently and in a team-based environment;
• Physical ability to perform audit onboard ships
• Able to travel aboard for ships visits / inspections regularly (in covid-19 safe situation)

• Monitor contractors' daily activity, site progress, schedule and safety on site
• Carry out administrative works and other duties as required by QP/Superintending Officer/Consultant/Employer
• Review and check all the drawings, specifications, and to ensure that works are carried out in accordance with the approved plans/drawings.
• Highlight discrepancies, feedback site progress and non-conformances/irregularities to QP/Consultants/Employer.
• Assist in reviewing of contractor's method statements and working procedures and assure contractor followed on site.
• Prepare lists of defects, monitor the progress of rectification works and ensure all the defects are satisfactorily rectified.
• To ensure all the construction works have complied statutory requirements

Requirements

• Candidate must possess at least Higher secondary/Pre-U/A level/College.
• Diploma/Advanced/Higher/Graduate Diploma, Bachelor's Degree/Post-Graduate Diploma/Professional Degree in any field.
• At least 1 Year of working experience in the related field is required for this position.
• Must be registered as Resident Technical Officer (RTO) with BCA/IES/ACES
• Required Skill(s): Microsoft Office, Autocad
• Preferably Junior Executive specialized in Engineering - Civil/Construction/Structural or equivalent.
• Shall have a certificate in Building Construction Supervisors Safety (BCSS) Course
• Candidate with civil/infrastructure experience will be considered earlier.
• Must be a team player with strong leadership, communication, and supervision skills
• Immediate vacancy

The Animal Rescue Officer (ARO) is responsible for ensuring timely and efficient rescue operations for injured, lost, abandoned animals. This includes retrieving animals, assessing rescued animals, and safe transportation of them back to the shelter or veterinary clinics for housing and medical attention.

As SPCA’s rescue operations are 24-hours the ARO is expected to work in a shift system including public holidays and weekends (with off days and leave entitlements provided). As he/she works largely in outdoor environments and through various weather conditions and long hours driving to attend to rescue calls, he/she will need to be physically fit.

The responsibilities include and are not limited to:

• Responding to animal rescue calls within a stipulated time frame.
• Attending to animal rescue cases according to the stipulated safety protocols and in a timely manner.
• Prioritising animal rescues according to level of risk and urgency using guidelines provided.
• Escalating complex rescue cases to the Operations Director and Operations Manager for further action.
• Transporting animals to the shelter or nearest veterinary clinic for housing and medical attention.
• Ensuring that rescue vehicles, carriers, and all equipment are well-maintained and clean.
• Engaging with feedback providers and animal caregivers to provide them the required information.
• Assisting with ad-hoc transportation of other items.
• Supporting house-visits and post adoption check where required.

Others

Provision of support for ad-hoc events and SPCA-led projects.

Qualifications & Requirements

• Able to communicate in written and spoken English
• Experience working with and rescuing animals is an added advantage but not compulsory
• *Must have valid Class 3/3A driving license
• Passionate about animal welfare
• Strong inter-personal skills
• Be able to work rotating shifts (including weekend, 5 days work week)
• Meticulous and detail oriented

We regret that only short-listed applicants will be notified.

* Please note that for all positions, you must be prepared to travel to 50 Sungei Tengah Road. Please check to make sure that the distance is not too far for you to travel before applying.

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]]

As teachers, you build the foundation of education. You equip students with essential skills and sound values to prepare them for life. Anticipate a career of lifelong learning, as you grow alongside your students.

We are looking for individuals with subject content knowledge and good communication skills to deliver the school curriculum effectively. Applicants will need to have good personal attributes for teaching and a willingness to learn; in addition to the ability to inculcate sound moral values and relate to the young. Applicants should also have the fitness and stamina to deliver lessons, and resilience required to engage students safely and carry out their duties effectively.

In addition, applicants should possess one of the following entry qualifications to meet the requirements for pre-service teacher training at the National Institute of Education (NIE).
• University degree; or
• equivalent qualifications

The application window is open from 27 Dec 2023 to 23 Jan 2024. If you would like to be considered for a teaching position under the PGDE programme, you are required to:

• Go to the Careers@Gov job post at www.moe.gov.sg/teach2024

• Click "Apply Now" in Careers@Gov to fill in the FormSG application form.
• Indicate your preferred teaching subjects.
• Attach all your educational transcripts along with your application. If you have not received your official transcripts, you can submit your latest transcripts at point of application.

You will need to submit your application by 23 Jan 2024, 11.00 PM. Only applications received via the FormSG application form will be considered.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

For teachers with professional teaching qualifications, please refer to the application details at https://www.moe.gov.sg/careers/become-teachers/pri-sec-jc-ci/trained.

As teachers, you build the foundation of education. You equip students with essential skills and sound values to prepare them for life. Anticipate a career of lifelong learning, as you grow alongside your students.

We are looking for individuals with subject content knowledge and good communication skills to deliver the school curriculum effectively. Applicants will need to have good personal attributes for teaching and a willingness to learn; in addition to the ability to inculcate sound moral values and relate to the young. Applicants should also have the fitness and stamina to deliver lessons, and resilience required to engage students safely and carry out their duties effectively.

In addition, applicants should possess one of the following entry qualifications to meet the requirements for pre-service teacher training at the National Institute of Education (NIE).
• University degree; or
• equivalent qualifications

The application window is open from 27 Dec 2023 to 23 Jan 2024. If you would like to be considered for a teaching position under the PGDE programme, you are required to:

• Go to the Careers@Gov job post at www.moe.gov.sg/teach2024

• Click "Apply Now" in Careers@Gov to fill in the FormSG application form.
• Indicate your preferred teaching subjects.
• Attach all your educational transcripts along with your application. If you have not received your official transcripts, you can submit your latest transcripts at point of application.

You will need to submit your application by 23 Jan 2024, 11.00 PM. Only applications received via the FormSG application form will be considered.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

For teachers with professional teaching qualifications, please refer to the application details at https://www.moe.gov.sg/careers/become-teachers/pri-sec-jc-ci/trained.

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.