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.

Role Purpose

Operating with close supervision, the incumbent shall be responsible to ensure that HSSE regulations are followed, potential hazards are identified and mitigated at the MOPS/OFS influenced sites.

Key Accountabilities

• Possess knowledge of local statutory HSSE Regulations and Industry HSSE standards to ensure their correct implementation. Understands the company’s HSSEQ policies, requirements and procedures and the specific HSSE requirements for the projects assigned.
• Monitors EPCI activities of the projects, identifies HSSE issues and proposes preventive and corrective measures so as to provide a safe and environment-friendly working environment.
• Routinely inspects the work areas and equipment including subcontractors to identify unsafe acts and conditions; advises line management of areas requiring management intervention as well as on HSSE legislative and industry standards.
• Investigate and report on incidents, near misses, and unsafe practices.
• Participates in regular HSSE audits and inspections.
• Participates in emergency response procedures and drills.
• Deliver HSSE training programs for staff. Keep records of staff training and certifications to ensure compliance.
• Complies with HSSE reporting standards and regulations. Prepare regular reports on HSSE performance for project management team.
• Communicating HSSE guidelines, updates, and best practices to employees, contractors, and other stakeholders. Report to Project HSSE Manager on HSSE performance, incidents, and compliance.
• Conduct regular risk assessments to identify potential hazards. Implement preventative measures to mitigate identified risks.
• Ensure that all safety equipment and resources are available, in good condition, and utilized correctly.
• Stay updated with the latest trends, practices, and legislations related to HSSE. Recommend and implement innovative solutions to enhance the HSSE culture within the organization.

Qualifications

• Degree in Occupational Health & Safety/Engineering or its equivalent.
• Min 0-3 years of progressive experience as a Safety Officer with exposure to the type of work performed on EPCI projects.
• Completed Certification as a Workplace Health and Safety Officer (WHSO) through the Ministry of Manpower, or equivalent/similar for overseas base.
• Must have knowledge of ISO 45001 and ISO14001, internal auditor certifications preferred.
• Hot Work Assessor Certification is preferred.
• Fire Safety Certification is preferred.

Technical

• Risk Assessment & Problem solving Techniques
• PC literate with good documentation reports presentation.

Leadership

• Excellent communicator
• Good subcontractor management.
• Team-player with good engagement with team
• Ability to independently think through multiple alternatives, potential consequences and economic impact of decisions to determine best approach.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

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

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

Qualifications

• Qualifications / Discipline:

Bachelor’s Degree in Science.

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

• Experience:

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

More Information

Location: Kent Ridge Campus

Organization: Science

Department: Pharmacy

Job requisition ID: 23084

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Tian Chong on organic synthesis under a project on Novel Active Template Synthesis of Rotaxanes.

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

Qualifications

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

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

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

More Information

Location: Kent Ridge Campus

Organization: Science

Department: Pharmacy

Job requisition ID: 23063

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Qualifications

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

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 23071

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Qualifications

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

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

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

More Information

Location: Kent Ridge Campus

Organization: Science

Department: Chemistry

Job requisition ID: 23066

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Duties and Responsibilities

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

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

Qualifications

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

More Information

Job Type: Contract (1-year)

Location: Kent Ridge Campus

Organization: NUS Enterprise

Department : Technology Transfer and Innovation

Job requisition ID : 23051

Summary of Role:

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

Essential Responsibilities include:

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

Other Responsibilities:

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

Requirements:

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

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

Job Description

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

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

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

Major responsibilities include:

1. Conduct original, impactful research.

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

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

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

Qualifications

• PhD in Computer Science (or equivalent) with HCI focus
• Experience and interest in designing on body Haptic Feedback
• Good track record of research with a good publication record
• Excellent communication skills (written and verbal) and interpersonal skills

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

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

We regret that only shortlisted candidates will be notified.

• Position : Environmental Control/WSH Officer x2
• Location : Office in Changi, work site at Tuas
• Working hours : 6 days work week, Monday- Friday 8:00am – 5:30pm
• Salary (Commensurate with experience): Up to $5700 Basic + AWS + Variable Bonus + 12 days annual leave
• Duration : Permanent
• Industry : Business Consulting ( Building/Construction)

Main Responsibilities:

• To assist the occupier of the workplace or other person in charge of the workplace to identify and assess any foreseeable risk arising from the workplace or work processes therein
• To recommend to the occupier of the workplace or other in charge of the workplace reasonably practicable measures and safe work procedures to control & mitigate such risks to prevent incident occurrences
• To assist in implementing & reviewing such measures or safe work procedures to prevent workplace accidents
• To investigate any incidents/accidents and advise on the remedial measures to be taken to prevent any recurrence
• To work closely with the relevant authorities on safety, health and environmental matters
• To administer and implement an effective Environmental, Health and Safety Management System (EHSMS) in accordance with prevailing legislation and preparation for third-party external EHS audits
• Conduct Environmental, Health and Safety Audits as per requirements
• Making certain that all ordinances or orders bearing on occupational safety and health and environmental are complied with the governing laws
• To prepare and conduct the EHS trainings for all employees which are identified in RA and SWP
• Measure and monitor the WSH performance of the project and discuss WSH performance in the WSH committee meetings and recommend areas for improvement
• Perform ECO duties as assigned
• Be responsible for any other duties that may be assigned from time to time as your superior/management deem fit

Requirement

• Possess at least a Specialist Diploma in WSH and/health (WSH)-related and certificate in ECO
• At least 3 years of work experience relevant to the work to be carried out by a WSHO cum ECO
• MOM registered WSH Officer and NEA registered ECO.
• SINGAPOREAN ONLY

Email to [email protected]

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Joie Chang

Associate Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Job Description

The successful candidate will work with A/Prof Wu Jie starting around Nov-2023 under a project on “heterogeneous photocatalysis and automated synthesis”.

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

Qualifications

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

Skills:
• Organic synthesis; analytic instrument

Experience:
• Strong tracking record on organic synthesis

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

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

We regret that only shortlisted candidates will be notified.

About Us:

EDDC is a dynamic and rapidly growing organisation committed to excellence and innovation. We are seeking an experienced Executive Manager to provide high-level support to our C-Suite executives, ensuring their schedules are efficiently managed, administrative briefs are meticulously prepared, and contracts (NDA and CDA) for scientific procurement and project needs are expertly managed.

Job Description:

The successful candidate will be supporting the C-Suite at EDDC, you will work closely with executives, deliver efficient secretarial and administrative support in a well-organised manner to ensure daily administrative tasks run smoothly. You will also be responsible for contract management, particularly Non-Disclosure Agreements (NDAs) and Confidentiality Disclosure Agreements (CDAs) related to scientific procurement and projects.

Key Responsibilities:

1. Schedule Management : Effectively manage and optimise the calendars of C-Suite executives, coordinating internal and external meetings, appointments, and travel arrangements.

2. Administrative Briefs : Prepare comprehensive and confidential administrative briefs, reports, and documentation for the C-Suite, ensuring accuracy and timely delivery.

3. Contract Management : Oversee the creation, execution, and management of NDAs and CDAs for scientific procurement and project requirements, ensuring compliance with legal and organizational standards.

4. Communication Liaison : Act as a central point of contact between C-Suite executives and various internal and external stakeholders, ensuring seamless communication and responsiveness.

5. Develop meeting agendas : Organise, facilitate, and follow up on executive meetings, including preparing agendas, minutes, and action items.

6. Strategic Support : Assist in strategic projects, including research, data analysis, and providing insights to support decision-making.

7. Confidentiality : Maintain the highest level of confidentiality and discretion in handling sensitive information.

8. Team Collaboration : Collaborate with administrative teams to streamline processes and support cross-functional initiatives.

Requirements :

• Bachelor Degree in Business Administration, Management, or a related field.
• Proven experience in executive support, scheduling for senior executives, and contract management
• Exceptional organisational and time management skills
• Excellent written and verbal communication skills
• Proficiency in office software and scheduling tools (e.g. Microsoft Office)
• Strong problem-solving and decision making abilities
• Ability to work under pressure and adapt to changing priorities
• Prior experience in a similar role supporting C-Suite executives
• Project Management experience
• Familiarity with contract management software and legal documentation

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

We are looking for a highly independent and detail oriented individual to administer the grants awarded under the National Robotics Programme (NRP). This role will be forward deployed to the Office of Grants Administration (OGA).

An Officer in this role will:

• Work with NRP management and project officers to organize and administer the end-to-end grant administration processes, from pre to post-award documentation and mounting the projects online on the grant management system.
• Provide oversight and management of the projects, including ensuring changes or updates to grant terms & conditions or guidelines are communicated to the grantees and put into effect according to the stipulated implementation timelines.
• Coordinate and prepare accurate and timely reports to internal and external stakeholders
• Work with the grantees and act as a liaison between the research teams, host institutions, industry partners and stakeholders
• Monitor and track the progress, timeline, and budget of projects, including submissions and variation requests and providing assessment on the eligibility of such requests based on grant guidelines, as well as assisting to resolve issues and challenges related to the projects
• Organise and coordinate events related to the management of the projects such as review meetings and workshops
• Perform any other relevant secretariat and related duties as required

Requirements

• Degree with a minimum of 8 years' R&D project management experience or grant management experience or equivalent
• Knowledge and understanding of engineering terms related to robotics, mechanical or electronics engineering would be helpful to appreciate the project submissions, but not a must.
• Prior experience in grant administration or have managed grants at a larger programme level with exposure to NRF or RIE funding will be highly advantageous
• Strong organizing, planning and analytical skills. Tableau experience will be a plus.
• Meticulous and detail oriented.
• Excellent written and oral communication skills
• Independent and a strong team player
• Ability to thrive in complex situations and manage conflicting information amongst the stakeholders to make a sound and objective assessment and provide recommendations to resolve issues in grant administration.
• Willingness to learn, with adaptability and flexibility to take on required/necessary tasks beyond the job description

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

Job Description:

The candidate needs to develop data-efficient speech and language processing algorithms to meet Singapore's strategic national needs. These multimodal representation learning techniques need to incorporate insights from human potential domain (e.g. EdTech) to enable practical and deployable innovations. Strong problem solving, coding, and communications skills are expected. Publications at top NLP/AI/ML/Speech venues are expected.

Job Requirement:

• PhD in speech and spoken language processing, machine learning, AI
• At least 5 years of experience
• Proficient programming skills, familiarity with Linux
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks
• Publications at top AI/NLP/ML and speech venues are a must

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

Job Description

The position will involve computational modelling to derive the properties of composites materials. Details of the microstructure of a range of composite materials will be modelled, and finite element analyses will be conducted to obtain the mechanical properties of materials and understand failure mechanisms.

Qualifications

Applicants should have completed a B.Eng. program in Mechanical Engineering (or equivalent) and be proficient in stress analyses. Experience in finite element analysis is preferred.

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.

Job Description

The Mechanobiology Institute, Singapore is a multidisciplinary institute committed to developing new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through quantitative biophysical approaches, we address major problems in biomedical sciences including pathogenesis (from bacterial to cancer), tissue regeneration, and function.

We are seeking to recruit a Research Associate to join Dr. Gianluca Grenci's laboratory on Microfabricated platforms for 3D cell culturing and imaging. This position is offered in the framework of a new research project funded by the Singaporean Office for Space Technology and Industry (OSTIN).

Project Scope

The project “Zero-G wells: a 3D tissues growing platform for human tissue regeneration study in microgravity conditions” is aimed at studying the effects of gravitational forces on the regulation of cell and tissue homeostasis. To this end, we will engineer an advanced version of our JeWells platform [1] which allows the growth of thousands of organoids in parallel while maintaining full access for standard and advanced microscopies. The effects of mechanical unloading will be tested on different biological models by subjecting them to conditions of hypo- and hyper-gravity. We will make use of simulation tools (with e.g. a Random Positioning Machine, RPM), and 0-g parabolic flight conditions; these experiences will also give the necessary feedback to prepare our set-up in compliance with the experimental conditions and policies required to apply for access to the International Space Station (ISS).

[1] Beghin A., Grenci G. et al. Automated high-speed 3D imaging of organoid cultures with multi-scale phenotypic quantification. Nat. Methods 19, 881–892 (2022).

Responsibilities

• Contribute to the Design and fabrication of the micro-optical platform
• Run experiments with the RPM and collect data
• Help with managing the laboratory
• Collaborate with other team members

Qualifications

• A Master’s degree in biological sciences, bio-engineering or related fields
• Experience with cell culturing and imaging, ideally 3D cell culture systems (Organoids)
• Previous experience with lab management (consumables, orders, inventory) is welcome
• Excellent communication skills and ability to work well in an interdisciplinary team
• Highly motivated and independent
• Organized, dedicated and reliable

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.

job Description

Conduct training on/off site to ensure customers are familiar with the features of our products

Professionally resolves product, service issues and complaints

Accomplishes customer service and organization mission by completing related results as needed

Act & liaise with relevant departments in event of any issues and complaints from customers

Ensure at least a score of 90% positive feedbacks of 9 or 10 monthly in the post training evaluation from customers

Job requirement

Diploma with 3 years working experience or equivalent

Experience in customer service or related field

Aptitude with positive disposition

Possess good work ethics and good team player

Ability to communicate professionally and with Good listening skill

Keen interest in imparting skills and knowledge to others

Job Description

1. Design and development of emerging 2D electronic devices

2. Nano fabrication (e.g., stacking of van der Waals heterostructures, e-beam lithography, nano deposition) in clean room

3. Low-temperature electrical characterization of the devices

Job Requirements

1. Masters degree in physics/materials science

2. 3 years of working experience in nanofabrication

3. Fluent in spoken English

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.