Location: Changi

Responsibilities

1. Monitor, supervise, and inspect works

2. Ensure quality control and compliance

3. Review drawings, specifications, and materials

4. Manage defects, progress, and records

5. Ensure safety, cleanliness, and tidiness on site

6. Implement mitigation controls from risk registers

Work Arrangement:

- Night shifts

- Sundays

- Public Holidays

- Assigned shift duty roster

Key Skills:

1. Technical knowledge (construction,mechanical/electrical)

2. Leadership and supervision

3. Quality control and assurance

4. Safety management

5. Communication and interpersonal skills

Qualifications & Experience

1. 5+ years of experience in RTO role

2. 3+ years in supervision of complex construction works

3. Diploma in Mechanical/Electrical discipline

4. Accredited by JAC (IES/ACES)

5. WSHMCI certification (or SCW/BCSS)

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

• Assist CAG research projects and activities, and support CAG Senior Research Fellows and Faculty Associates in their research projects
• Prepare background briefs, presentations, and track specific issues
• Conduct independent research, and write academic and policy research papers and reports
• Compile and manage research materials and products
• Provide editorial and management support to research projects, events, and publications
• Organise and support CAG events, including academic and policy conferences and workshops
• Undertake other administrative duties related to research projects such as managing correspondence and filing
• Support CAG public engagement including social media content management and website maintenance

Job Requirements

• A Master’s degree holder in a discipline within the social sciences and/or humanities
• Expertise or interests in any of the following:
  o China-India relations
  o Asian politics and international relations, including great power politics and Southeast Asian regional politics
  o Applicants with other areas of interests will also be considered if relevant to CAG research focus
• Strong analytical ability and strong self-motivation
• Able to work independently
• An ability to engage with research and policy communities in Asia and around the world
• A strong sense of collegiality
• Excellent spoken and written English
• Ability/experience with social media content management tools
• At least 2-3 years of experience in academic research

Application Procedure

Applicants should submit in electronic form (MS Word or PDF file) for the following below:

• Cover letter, with a brief statement of research expertise and its relevance to research interests as above
• Detailed curriculum vitae
• At least one writing sample (in English)
• Two references/recommendation letters
• Joining date: January 2025
• Application deadline: December 15, 2024

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

Position Overview: The Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, National University of Singapore, seeks a dynamic and versatile Research Associate to serve as the Executive Support and Operations Lead. This pivotal role will provide high-level support to the Principal Investigator (PI) and executive staff, while gaining broad exposure to various aspects of geroscience and geromedicine research. The successful candidate will play a crucial role in advancing the Academy's mission to position Singapore as a global leader in healthy aging research.

This one-year appointment offers an exceptional opportunity for a motivated individual to fast-track their research career by engaging in diverse projects and gaining comprehensive insights into the field of healthy longevity.

Main Duties and Responsibilities

## Executive Support

- Serve as the primary liaison between the PI, executive staff, and internal/external stakeholders

- Manage the PI's schedule, including coordinating meetings, travel arrangements, and prioritizing commitments

- Prepare and edit high-level correspondence, reports, and presentations for the PI and executive team

- Assist in the development and implementation of strategic initiatives aligned with the Academy's goals

## Research Coordination

- Collaborate with research teams to track project progress and ensure timely completion of deliverables

- Assist in the preparation of grant proposals, ethics applications, and regulatory documentation

- Coordinate with internal departments and external partners to facilitate research collaborations

- Support the dissemination of research findings through publications and conference presentations

Main Duties and Responsibilities

## Operational Management

- Support day-to-day operations of the Academy, ensuring efficiency and effectiveness

- Support the management of budgets and financial planning for research projects and operational activities

- Coordinate facility and equipment management to support research activities

## Team Leadership and Development

- Assist in the recruitment, onboarding, and training of new staff and students

- Identify training needs and facilitate professional development opportunities for team members

- Foster a collaborative and innovative work environment that promotes excellence in research

## Stakeholder Engagement

- Represent the Academy at conferences, workshops, and public forums

- Assist in organizing and executing outreach events and initiatives to promote the Academy's work

- Build and maintain relationships with academic partners, industry collaborators, and government agencies

Qualifications

- Master's degree in Life Sciences, Medicine, Public Health, or a related field

- Minimum of 3 years of experience in a research or healthcare setting, with demonstrated project management skills

- Strong understanding of clinical research protocols, regulatory requirements, and ethical standards

- Excellent organizational and problem-solving skills, with the ability to manage multiple projects simultaneously

- Exceptional written and verbal communication skills, with the ability to interact effectively with diverse stakeholders

- Proficiency in data analysis, research methodologies, and relevant software applications

- Demonstrated leadership potential and the ability to work both independently and collaboratively

- Keen interest in geroscience, geromedicine, and healthy aging research

- Adaptability and willingness to engage in a wide range of tasks and research areas

This position offers an unparalleled opportunity to gain comprehensive exposure to cutting-edge research in healthy longevity while developing crucial leadership and operational skills. The successful candidate will play a vital role in advancing the Academy's mission and positioning themselves for rapid career growth in the dynamic field of geroscience.

Benefits

1. Competitive Salary: Earn up to $3,000 basic per month plus variable bonuses and monthly incentives.
2. Work-Life: Flexible work schedule with office-in-lieu on public holidays and time-off for overtime.
3. Career Growth: Develop your skills with a fast-paced, dynamic team while gaining experience in customer service and operations.
4. Supportive Team Culture: Work in an inclusive, friendly, and collaborative environment where your contributions are valued.
5. Standby Perks: Receive a company phone for standby, with additional compensation (to be discussed during the interview).

Job Description

We are looking for a motivated and reliable Customer Service Officer to join our team! In this role, you will handle phone inquiries, manage data entries, and address customer complaints with the best solutions or alternatives. You will collaborate closely with the operations department to ensure smooth processes.

Roles & Responsibilities

• Handle phone inquiries and provide prompt and effective solutions.
• Perform data entries and maintain accurate records.
• Resolve customer complaints and provide alternative solutions when necessary.
• Work closely with the operations team to support service delivery.
• Take on other ad-hoc duties as assigned by the department.

Requirement

• Skills: Basic IT knowledge, good listening skills, and ability to work under pressure in a fast-paced environment.
• Personal Attributes: A good team player with strong interpersonal communication skills, meticulous attention to detail, and self-motivated.
• Work Schedule: Must be flexible to work shifts, on public holidays, and be willing to work overtime when required.

5) Additional Information

• Location: 88 Geylang Bahru, #01-2724, Singapore 339696.
• Salary: Up to $3,000 basic plus variable bonus and monthly incentives (company phone for standby).
• Working Hours: 8 am to 5 pm with varying schedules: Week 1 (6 working days), Week 2 (5 working days), Week 3 (6 working days), Week 4 (5 working days).
• Public Holiday: Work on public holidays will be compensated with office-in-lieu.
• Overtime: Overtime will be given time off.

Logistic Executive / Officer required by company in the bedding industry. Main products are Mattresses, Bedframes with some furniture and accessories.

Report to Senior Logistics Executive/Supervisor and is required to help managed the warehouse and be part of delivery team. Duties include

• Manage ware house inventories and stock take.
• Manage delivery schedule and delivery team.
• Hardworking and must be physically fit.
• Able to speak simple English.
• Class 3 Licence.
• Hardworking and a team player.
• Help unload items from containers and suppliers' trucks into warehouse
• Retrive items for warehouse and prepare them for deliveries.
• Help loadup delivery trucks for daily deliveries.
• Assist with deliveries when required.
• Any other relevant duties required.

Responsibilities

• Assist in overtime and payroll calculation
• Answer employee queries regarding leave, salary and overtime
• Update and maintain leave records in Info-Tech system
• Update and maintain employee records in Info-Tech system
• Coordinate document submission with site staff
• Assist in recruitment
• Assist in all foreign worker matters
• Assist in recommending, sourcing and booking of training courses for staff development
• Provide advice to The Management regarding employment legislation and HR practices
• Any other ad-hoc work

Requirements

• Knowledge and understanding of MOM employment law
• Higher Nitec with 2 years work experience, ideally in a construction related field
• Knowledge of Info-Tech software
• Able to communicate effectively with local and foreign employees of all levels
• Willing to learn and grow
• Able to work in a team
• Good work ethics
• Positive character and attitude

Other information

• Working hours: Mon - Fri, 8.30am to 6pm
• Working location: Tampines West

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to perform modelling and real-time simulation of electric vessel’s onboard microgrid and propulsion system.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to develop onboard microgrid simulation models with energy management systems as well as to plan and test the relevant hardware systems.
• Work with research team to deliver the work scope and undertake these responsibilities in the project.
  Work Responsibilities:
  1. Develop detailed electrical models of the microgrid (power system) of various e-vessels based on the concept design in a simulation environment such as Matlab/Simulink.
  2. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints.
  3. Operate the simulated electrical model with EMS controller to perform simulations for various cases to demonstrate performance and recommend improvements at unit, sub-system and whole system level.
  4. Implement and carry out simulation studies for onboard microgrid and connection to shore charging infrastructure.
• Recommend efficient and reliable power system architecture(s) with other merits of high-density and light-weight.
• Test the relevant power electronics and drives system hardware and troubleshoot the challenging problems.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment and assist in laboratory management.
• Mentor students involved in the research project
• For those hired at senior levels, management responsibilities may be included

Job Requirements

• Have a Master’s or PhD’s degree in Electrical Engineering or equivalent from a recognized University. Major in Power Engineering will be advantageous.
• Minimum 3 years of relevant experience in modelling and energy management algorithm development using MATLAB/Simulink for microgrid applications.
• Knowledge of power electronics, drives, and control is highly preferred. Hardware testing experience will be advantageous.
• Have experience and commitment to participate in project meetings.
• Self-motivated team player and good project management skills.
• Excellent writing, communication, presentation, and interpersonal skills.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

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 research fellow in the Department of Biochemistry, Yong Loo Lin School of Medicine. Yu lab has been established since 2021 and the major mission is to develop new therapeutic strategies for atherosclerotic coronary artery disease and metabolic diseases. We use cutting-edge technologies including functional genomics, CRISPR/Cas9-based functional screening, and multi-omics to discover novel therapeutic targets and disease regulating pathways. Appointments will be made on a one-year contract in the first instance, with the possibility of extension – amend as appropriate.

Purpose of the post

We are looking for candidates with extensive experience in cell biology, molecular biology, and mouse models. Preference will be given to candidate with prior in vivo mouse experience or prior experience with metabolism or cardiovascular research.

Qualifications

1. A PhD or equivalent in molecular biology, biochemistry, cell biology, or related field.
2. Extensive experience in molecular biology and mouse work as demonstrated by a first author publication in a relevant scientific journal.
3. Willingness to work with mice.
4. Excellent communication and teamwork skills.
5. The ability to work independently to design and troubleshoot experiments.
6. Positive attitude and strong motivation.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yu Haojie at [email protected].

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.

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

A research associate position is available at the Saw Swee Hock School of Public Health to support a principal investigator in cardiovascular disease epidemiology research projects.

Key Responsibilities:

The research associate will independently analyse proteomic and clinical data, contributing significantly to the understanding of cardiovascular disease. The role involves writing manuscripts focused on heart failure and developing and writing research grant proposals to secure funding for ongoing and future projects. The successful candidate will work closely with diverse experts, including epidemiologists, data scientists, and clinicians, to drive research initiatives in cardiovascular disease, ensuring a collaborative approach to advancing scientific knowledge in this field.

Qualifications:

• Strongly proficient in statistical software (R preferred, Stata, or Python).
• Experience in analysing clinical datasets
• Proficiency in Microsoft Office Applications, particularly MS Word and Excel.
• Strong skills in scientific writing and experience.
• Excellent written and verbal communication skills.
• Ability to work effectively and independently in a team environment.
• Master's degree in Statistics, Public Health with a strong quantitative background, Computer Science, or Mathematics with relevant experience in data science.

Additional Information:

• Recruitment is open immediately and will continue until the position is filled.
• Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application process.

If you are passionate about applying data science to advance heart failure research, we invite you to join our team and make a difference.

Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.

We regret that only shortlisted candidates will be notified

Scientist for Advanced Photonics (Photonic device and PDK development)

As part of IME’s Photonics & Sensors Department, the candidate will work on photonic device and PDK library development. This will include photonic device simulation, fabrication, characterization, optimization, and PDK development. You will work closely with an excellent multidisciplinary team working on photonics, electronics, semiconductor processes, integration, and fab operation.

Responsibilities:

• Design of passive and active photonic devices based on various 8-inch and-12 inch material platforms.
• Take the lead in designing integration flows to manufacture the designed devices.
• Develop automated electro-optic characterization systems for the designed and fabricated photonic devices.
• Characterize photonic devices and perform design optimization to meet the required device performance.
• Develop PDK for optimized photonic devices.
• Prepare presentations and papers for internal meetings, conferences and journals.
• Collaborate with the project team to ensure quality and on-time delivery for various projects. You will get a chance to be exposed to both industrial and academic projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Microelectronics, Opto-electronics, Physics or equivalent.
• Experience in one or more topics listed below is strongly preferred: Si photonics, SiN photonics, compound semiconductor photonics, photonic computing, quantum computing, LiDar, optical switch array.
• Strong hands-on experience in photonic device development or photonics integration.
• Strong hands-on experience in photonic simulation using various electrical / photonics design software.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation photonics technology development.

Scientist for Advanced Photonics (Photonic device and PDK development)

As part of IME’s Photonics & Sensors Department, the candidate will work on photonic device and PDK library development. This will include photonic device simulation, fabrication, characterization, optimization, and PDK development. You will work closely with an excellent multidisciplinary team working on photonics, electronics, semiconductor processes, integration, and fab operation.

Responsibilities:

• Design of passive and active photonic devices based on various 8-inch and-12 inch material platforms.
• Take the lead in designing integration flows to manufacture the designed devices.
• Develop automated electro-optic characterization systems for the designed and fabricated photonic devices.
• Characterize photonic devices and perform design optimization to meet the required device performance.
• Develop PDK for optimized photonic devices.
• Prepare presentations and papers for internal meetings, conferences and journals.
• Collaborate with the project team to ensure quality and on-time delivery for various projects. You will get a chance to be exposed to both industrial and academic projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Microelectronics, Opto-electronics, Physics or equivalent.
• Experience in one or more topics listed below is strongly preferred: Si photonics, SiN photonics, compound semiconductor photonics, photonic computing, quantum computing, LiDar, optical switch array.
• Strong hands-on experience in photonic device development or photonics integration.
• Strong hands-on experience in photonic simulation using various electrical / photonics design software.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation photonics technology development.

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 Coastal Protection and Flood Resilience Institute (CFI) Singapore is actively seeking a Research Engineer to contribute to a groundbreaking research project. This research explores the efficacy of integrated nature-based solutions in sediment erosional control and coastal protection. The goal is to develop innovative, physically based models that quantify the protective benefits a vegetation meadow can offer to shorelines.

The Research Engineer will participate in experimental research, with a specific focus on studying sediment flux in hybrid solutions to coastal protection. He/she will lead and execute flume experiments, data analysis and field sampling as well as specific tasks which includes planning and conducting experiments, running laboratory analyses, collection and analysis of data, and performing basic administrative duties.

He/she will work need to work with Assistant Professor Gary Lei from Civil and Environmental Engineering and Dr. Ow Yan Xiang from the Tropical Marine Science Institute (TMSI) at NUS. Ideally, we are interested in candidates with prior experience with laboratory experiments.

Job Requirements

• Possess a bachelor’s degree in environmental engineering /Environmental Science/ Mechanical Engineering, or a closely-related field.
• Priority will be given to applicants who have prior research experience in coastal engineering, aquatic plants science, eco-hydraulics, and/or environmental fluid mechanics.
• Strong verbal and written communication skills.
• Proficient with Microsoft Suite and R, or other equivalent analytic software.
• Open to fixed-term contract.

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

A research fellow position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of Environmental and Cancer Epidemiology.

Major duties and responsibility of the position include but are not limited to:
• Data collection and management
• Data analysis using software such as R, Stata or SAS.
• Preparation of reports, presentations, manuscripts.
• Writing grant proposals
• Provide mentorship to graduate students and research assistants

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Strong written and verbal communication skills are required, along with a record of relevant publications in peer-reviewed journals. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Excellent proficiency in the following areas is preferred:

1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint
2. Experience in R, Python

The successful applicant is expected to possess at least a PhD Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus.

Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application. In your statement of interest, please highlight your relevant experience and interest in environmental and cancer epidemiology research.

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

A research assistant position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of Environmental and Cancer Epidemiology.

Major duties and responsibility of the position include but are not limited to:
• Data collection and management
• Literature review
• Data analysis using software such as R, Stata or SAS.
• Designing, testing, and administering surveys and questionnaires
• Research coordination
• Preparation of reports, presentations, manuscripts.

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Candidate must possess excellent written and verbal communication skills. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Good proficiency in the following areas is preferred:

1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint
2. Experience in R, Python

The successful applicant is expected to possess at least a Bachelor’s Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus.

Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application. In your statement of interest, please highlight your relevant experience and interest in environmental and cancer epidemiology research.

We regret that only shortlisted candidates will be notified.

• Hiring, training, and coordinating undergraduate research assistants
• Extensive work with data, including organization, cleaning, coding, and analysis
• Manage the participant reimbursements
• Maintain data security and confidentiality
• Provide timely updates of studies to PI
• Working with participants across a range of settings and studies
• Research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
• Any other work assigned by the PI

· Cashiering duties;

· Guide residents to make S&CC payment on e-platforms;

· Attend to residents on feedback matters as part of the front line customer service team;

· Assist in cases creation in the system;

· Follow up with residents on the progress of the cases that have been attended by the estate team or other department (case by case) prior closing it in the system;

· Liaise with other team members from other departments pertaining to the feedback or queries cases;

· Assist with Facilities Booking matters;

· House visits;

· Any other duties assigned by the Supervisor.

Job Description:

• Minimum 8 years of architectural experience with recognised Diploma in relevant field, and at least 5 years of experience in construction supervision for projects of similar scale and complexity in local context.

• Work as Resident Technical Officer to our LTA projects, to assist and report to RE and SRE to monitor all site activities, and any incident, including near-misses. Report any non-compliance to RE and Qualified Person Supervision (QPS).

• Assist Engineer in carrying out supervision for related works include but not limited to replacement and extension, construction and reconfiguration of viaduct/ bridge works, and associated civil works, proposed new flexible pavement and infrastructure, re-alignment of roadways, fencing and construction.

• Prepare daily reports at regular basic and as required by clients.

• Supervise all construction activities and ensure compliance to all plans/drawings, risk assessment and specifications.

• Willing to work on rotation shifts.

• Ensure compliance to all health and safety policies.

• Ensure that contractor and their subcontractor comply with client's safety requirement, and safety checklists are follow.

• Reject poor quality of works at site and inform RE to raise non-conformance notice.

• Assist RE to manage and maintain records and documentation on field or site changes and to monitor adherence to construction schedule.

• Carry out standing supervision for critical site activities based.

• Preferably PR and Singaporean.

• Promoting and sales of relevant products and services
• Delivery of excellent customer service and enquiry handling
• Leads hunting and re-engaging of existings clients
• Arranging and attending to appointments of related sales activities
• Keep records of customer interaction and relevant transactions data
• Handle documentation and other administrative duties

Qualifications

• Minimum GCE “O” Level, Higher NITEC or equivalent

Requirements

• Proactive and able to work independently.
• Detail-oriented, result-driven and self-motivating
• Good verbal and interpersonal communication skills
• Basic knowledge in automotive industry and relevant car trading experience is an advantage

• Basic + Commission

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Project Overview

We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI empowers people and the city in Singapore (M3S).

With the recent emergence of large language models (LLMs), the research engineers will assist in investigating how data-efficient and resource-efficient techniques, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, active learning, can be applied in the context of LLMs (as well as important issues involving AI privacy, model auditability and updatability).

Responsibilities

• Research on topics related to data-efficient machine learning, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, and active learning, in the context of LLMs.
• Investigate how these concepts as well as important issues involving AI privacy, model audibility, and updatability can be applied in the context of LLMs.
• Develop, implement, and evaluate experiments to characterise the feasibility and performance of the proposed research ideas.
• Collaborate with other PhD and undergraduate students to publish research results in top-tier conferences and journals, with focus on venues associated with the above-mentioned areas .

The research engineer will be jointly advised by Prof. Daniela Rus (MIT CSAIL), Prof. Alex 'Sandy' Pentland (MIT Media Lab), and Assoc. Prof. Bryan Low (NUS School of Computing), and based at SMART (Singapore-MIT Alliance for Research & Technology) in Singapore. The research engineer will have the opportunity to collaborate with PhD and undergraduate students, as well as Postdoctoral Fellows, within our research groups.

For more information on our research group and interests, visit

https://danielarus.csail.mit.edu/

https://www.media.mit.edu/people/sandy/overview/

https://www.comp.nus.edu.sg/~lowkh/research.html

Requirements

• Degree or Masters Degree in Computer Science, Machine Learning, Artificial Intelligence, or other related disciplines.
• Strong publication record at premier AI/ML venues such as ICML, ICLR, NeurIPS, CVPR, ACL, EMNLP or similar.
• Strong proficiency in programming.
• Strong proficiency in English and communication skills.
• Experience with machine learning and deep learning frameworks such as Pytorch, Tensorflow, among others.

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 Research Associate in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on two-year contract, with the possibility of further extension.

Purpose of the post

We are looking for a highly motivated individual to coordinate data collection and support research operations under the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study. The Research Associate will be responsible to, and work closely with, the Principal Investigators and study team members to ensure the successful completion of GUSTO projects on time. The RA’s principal role will be to work in general practices such as data collection, data entry and analysis and drafting of publications and reports.

Main Duties and Responsibilities

The Research Associate will liaise with the relevant personnel to smooth the process of recruitment and data collection and will be accountable to the Principal Investigator(s).

The Research Associate will be expected to:

1. Conduct surveys and interviews with children, adolescents, and parents at KK Children’s and Women’s Hospital
2. Manage the participant reimbursement schedule
3. Maintain data security and confidentiality according to PDPA
4. Draft ethics approval forms in accordance with IRBs
5. Conduct extensive work with data, including organization, cleaning, coding, and analysis
6. Train and supervise undergraduate research assistants
7. Provide timely updates of the study to PI/Project Manager
8. Work flexibly with participants across a range of settings (e.g., hospital, university research lab), and hours (e.g., some weekends and evenings)
9. Additional research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
10. Perform literature review, data analysis and drafting of reports and publications

Qualifications

• Bachelor’s or Master’s degree in Psychology, Social Sciences, or related disciplines
• Strong background in developmental research and experimental design
• Good statistical background (e.g. Microsoft Office, SPSS, R)
• Experiences working with parents and children preferred
• Excellent written and oral communication skills

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

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

Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators;

Requirements

• A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in federated learning, Bayesian optimization, or privacy/security research in data sharing would be a plus;
• Experienced in using the latest machine learning, AI, and big data platforms;
• Excellent interpersonal communication and oral presentation skills in 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.

Job Description

One postdoc position is available at the Surface and Interface Lab of Prof. CHEN WEI’s group at National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for electrocatalytic CO2RR under a project on CREATE Program: “Development of Advanced Catalysts for Electrochemical Carbon Abatement”.

The project focuses on the interface engineering for electrocatalytic CO2RR. The selected candidate will work together with a team comprising experts in interfacial analysis about electrocatalytic CO2RR reaction mechanism study using home-made interface characterization tools.

Qualifications / Discipline:

• The candidate shall obtain PhD or submit PhD thesis in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish at a few papers on top journals.

Skills:

• Excellent English writing and communication skill,
• Team management skill (help PI to lead a small research team with 1-2 master students),
• Expert in CO2RR-based catalysts synthesis, structural characterizations using TEM/SEM/AFM/XRD/UV-Vis/GC-MS, surface science techniques of XPS/UPS, NAP-XPS, and electrochemical applications (electrocatalytic CO2RR) of these materials.

Experience:

• The candidate shall have extensive experience in CO2RR-based catalysts synthesis, interfacial analysis and electrochemical applications (electrocatalytic CO2RR) of these materials.

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 seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.