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 have openings for talented scientists who are ready to take up a leadership role in our group and to spearhead new initiatives and provide supervision and guidance to junior members of the team.

You will be part of a well-funded initiative to create quantum networks of superconducting circuits mediated by telecom photons. Your job could include the following subjects:

• Leading the design and fabrication of superconducting qubits that resist to moderate magnetic fields
• Spearheading the development and fabrication of chips that combine superconducting circuits and integrated photonics
• Exploring novel fabrication methods to couple rare-earth ions in solid-state with integrated optics and superconducting circuits
• Measuring quantum correlations between microwave photons at cryogenic temperature and telecom photons at room temperature

You will also work closely with the Principal Investigator to develop future experimental goals and shape the general research direction of the group. There will also be ample opportunity to explore your own ideas and participate in grant-writing processes. We aim to provide you a challenging and supportive environment to perfect your research leadership skills and get ready for your next career step!

ABOUT THE GROUP

Qove Laboratory is led by Assistant Professor Steven Touzard and located at the National University of Singapore. The lab is funded by the prestigious NRF Fellowship. Our group works on a large range of quantum technologies, with currently an emphasis on remotely entangling superconducting qubits with telecom photons to form long-range quantum networks.

To know more, go to https://qovelab.com

Qualifications

Postdoc applicants should have proven research experience and have a strong interest in quantum technologies. Furthermore, a PhD in Experimental Physics or Engineering is required, as well as knowledge on quantum optics measurement, optical fiber equipment, as well as cryogenic equipment. Ideally you received your PhD working on superconducting circuits, spin defects in solid-state, integrated optics or quantum optics experiments.

Job Responsibilities:

• Implement and maintain food safety management systems such as Hazard Analysis and Critical Control Points (HACCP).
• Lead the development and implementation of comprehensive hygiene and safety protocols, ensuring compliance with regulatory standards set by SFA, MUIS, MOM, JTC and other relevant authorities.
• Conduct routine inspections of the kitchen and food preparation areas onsite & offsite.
• Identify potential food safety hazards and assess risks in the food preparation and storage processes.
• Implement corrective actions training and safe kitchen practices and preventive measures to enhance overall food safety performance.
• Ensure that suppliers adhere to food safety standards and conduct regular audits of suppliers
• Oversee and updates of the Quality Management System and SOPs, ensuring alignment with industry best practices and regulatory changes.
• Ensure the accuracy, completeness, and proper retention of all quality assurance records, documents, and files as per regulatory and company policies.
• Act as the primary point of contact for regulatory inspections and audits by SFA, MUIS, HACCP and ISO, maintaining thorough documentation and records to demonstrate compliance with hygiene standards.
• Assist in lab test sampling collection and schedule
• Provide assistant in any ad hoc assignment if any

Job Requirements:

• Possess SFA food hygiene officer certificate level 1,2,3) and FSMS.
• Educational Qualifications: NITEC Certificate (or equivalent) in Food Science-related fields with a focus on food safety.
• Well experienced in Food Science, Food Technology, or a related field.
• At least 2 years of experience in Quality Assurance/Food Safety within the F&B or catering industry.
• Knowledge of Singapore’s food safety regulations and standards (HACCP, ISO, SFA guidelines).
• Strong attention to detail and the ability to ensure compliance with food safety protocols.
• Good communication skills to educate and train team members on food safety practices.

Working days: 5 days

Location: Located in the West (Pandan Loop)

Interested candidates are invited to apply online with a comprehensive resume, via the APPLY NOW button below.

We regret that only shortlisted candidates will be notified.

Thank you for applying.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on theories and applications of learning-based control. The project will investigate and develop both deep reinforcement learning algorithms and conventional robust adaptive control methods, to develop safety-critical learning-based control algorithms that leverage the advantages of both model-based and model-free methods. In particular, the developed algorithms will be demonstrated through robust control of drones.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates will be responsible for conducting theoretical research and algorithm development. The candidates are expected to help the PI supervise junior PhD students as well.

The candidates should have a Ph.D. degree from a reputable university, with expertise in robust adaptive control, reinforcement learning theory, collision-avoidance trajectory optimization, etc.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences are required.

Qualifications

• Possess a Ph.D. Degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have substantial research experiences in robust adaptive control, reinforcement learning, learning-based control, model predictive control, etc.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and doctoral studies.
• Strong publication records in leading journals and conferences are highly valued
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of reinforcement learning and control for robotics applications.
• Activity performed in world-class research environments is highly valued.

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 Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

· The grade of appointment will be determined based on the candidate’s academic qualifications and years of relevant experience.

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

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 Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.

• Position: Inside Sales Assistant
• Location: Tuas (near to Tuas Crescent/Gul Circle MRT)
• Working hours: Monday to Friday - Office hours (HYBRID WORK UPON CONFIRMATION)
• Salary (commensurate with experience): Up to $2,800 + Commission + Annual Performance Bonus (1-3 Months) + 14 Days Annual Leave
• Duration: Perm
• Industry: Construction machine rental

Main Responsibilities:

• Cold call
• After sales service
• Keep close relationship with clients
• Debtor aging ( take care of debt and payment)
• Any other ad-hoc duties assigned

Requirements:

• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only
• Minimum 1 year of relevant experience

Email to: [email protected] for more information.

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Abby Pang

Deputy Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

We are seeking candidates for the position of Research Officer for the Circular Bioeconomy team, part of the Biotransformation Group at the Singapore Institute of Food and Biotechnology Innovation (SIFBI). The Circular Bioeconomy team performs Research & Development in biotechnological approaches to waste valorisation, alternative protein and carbon-reduction. The mission is to provide biotechnological solutions for achieving Singapore?s ambitious goals of Zero Waste, Food Security and Net Zero emissions.

Job Description:

• Perform laboratory experiments for Circular Bioeconomy projects, such as microbial isolation, flask fermentation, bioreactor fermentation and analysis using assays, analysers, chromatography and quantitative PCR.
• Plan experimental work in close collaboration with supervisor. More experienced candidates will have greater independence in planning, executing and trouble-shooting their own work.
• Analyse, organise and summarise experimental results for reporting to supervisor. More experienced candidates will have greater freedom in interpreting, evaluating and reporting results to stakeholders.
• Maintain laboratory and equipment in good and productive order, such as purchasing consumables, organising and tidying lab, maintaining equipment and writing SOPs.
• Uphold high safety and integrity standards, complying with all HSEP (Health, Safety and Environmental Protection) rules and regulations, as well as SIFBI internal rules.

Job Requirements:

• Bachelor's degree in food science or Life Sciences, such as Biotechnology.
• Previous work or internship experience with laboratory work is preferable.
• Experience and preference for hands-on experimental work in a laboratory.
• Experience with microbiological and aseptic techniques. Experience with fermentation and bioreactors is advantageous.
• Experience with analytical techniques such as biochemical assays, spectroscopy and chromatography. Experience with PCR techniques is advantageous.
• Experience with software tools such as MS Office, Teams, MatLab, MiniTab, and various proprietary scientific soft wares such as for biotechnological and analytical equipment.
• The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, and has excellent communication and teamwork skills.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and skilled research scientist to join our team in the development of advanced materials through self-assembly techniques for selective ion capture and transport. The candidate will be responsible for designing, synthesizing, and characterizing sponges and membranes with tailored properties to facilitate the selective separation, capture and transport of specific ions.

• Design and conduct research on self-assembly methods for fabricating sponges and membranes with controlled porosity and surface chemistry
• Develop protocols for ion-selective capture and transport, focusing on optimizing materials for applications in filtration, water purification, and ion recovery
• Synthesize and characterize various materials, including polymers, hydrogels, and nanomaterials, to create functional sponges and membranes with desired selectivity
• Perform material characterization using techniques such sa SEM, TEM, FTIR, XRD, and surface area analysis to assess structural properties
• Evaluate the ion capture and transport efficiency of synthesized materials through experimental testing in simulated environments

Job Requirements

• PhD in Materials Science and Engineering
• Strong background in self-assembly techniques, membrane fabrication, polymer science, and nanomaterials
• Experience with material characterization techniques such as SEM, TEM, FTIR, XRD, and ion transport testing
• Demonstrated experience in ion capture, separation, and transport processes, with a focus on designing materials for selective applications

About the Role:

· Perform warehousing and operations related administrative duties, including transactional processing in system, and reporting.

Roles and responsibilities:

Operations

· Responsible for inbound receiving and put-away, outbound order pick and pack, and value-add operations.

· Value-add

o Perform physical packaging of equipment from returned consignment and put-away after completion.

o Labelling of new training models and other equipment for easy identification.

o Perform physical replacement of dirtied/damaged packaging materials, such as carton boxes and zip-lock bags.

· Perform system processing, such as transaction posting, uploading of documents, and generate delivery/collection document.

· Liaise with transporter for delivery/collection arrangements.

· Liaise with Operations Support on orders matter.

Stock Count

· Participate in periodic cycle count and, when necessary, full stock-take – performing physical count or stock reconciliation as assigned by Team Lead.

Performance

· Meeting set KPI targets.

· Strict Compliance with OSP QMS and maintain zero non-conformance.

Other Tasks & Responsibilities

· Maintain proper housekeeping in the warehouse.

· Responsible for proper maintenance and serviceability of operations equipment.

· Support in team/department level projects when necessary.

· Any other duties as assigned by the Team Lead or Manager.

About Olympus:

Our purpose at Olympus is to make peoples’ lives healthier, safer and more fulfilling. We do this through innovation. As a technology pioneer, we design and deliver solutions across our Medical division that make a positive contribution to society.

Our products are used to capture the medical and diagnostic images of our world, from the microscopic to the endoscopic. They are instrumental in furthering research, and for travelling inside the human body to help diagnose, treat and prevent illness.

Our commitment to customers and our social responsibility is the cornerstone of everything we do.

Why work at Olympus?

At Olympus, we are dedicated to fostering a high-performing culture, a collaborative environment, and enabling everyone to shine. Our common values of Patient Focus, Integrity, Innovation, Impact and Empathy, form the foundation of our culture and guide our behaviour, where our people feel like they are making a difference every single day.

Not only will you benefit from a meaningful, rewarding and challenging career, you will have access to a range of benefits:

· A competitive salary package including AWS and Variable Bonus

· 18 days of annual leave in your first year

· Health and Wellbeing initiatives (Annual Medical Checkups, Flu Vaccinations, Dental benefits, and Employee Assistance Programs)

What we are looking for:

· Minimum GCE ‘N‘/‘O‘ Level, preferably with formal training in warehousing or logistics management.

· Good knowledge of warehouse processes.

· Hands-on, meticulous and a keen learner.

· Take initiatives at work.

· Good interpersonal skill.

· Good team player.

· Able to work indepently with minimal supervision.

· Good verbal and written communication.

· Ability to operate material handling equipment including pallet jack and electric order picker.

· Ability to lift heavy loads of up to 25kg.

· Knowledge of GDPMDS standards will be an advantage.

· Working knowledge in Sales Force system will be an advantage.

· Working knowledge in MS applications including Excel, and Outlook.

· Minimum 2 year working experience in warehousing.

Apply Now:

To submit your interest in this opportunity, select “Apply for this job”.

In the meantime, follow us on:

· LinkedIn - Olympus APAC

· Company website - www.olympus.com.sg

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

• Position: Logistic Coordinator/Officer
• Location: Benoi
• Working hours: 5 days, Monday to Friday (8.30am to 6.00pm)
• Salary (commensurate on experience): Up to $3800 + AWS and OT
• Duration: Permanent
• Industry: Logistics (MNC)

Main Responsibilities:

• Guide a team of coordinators associates to provide administrative support to the Operations.
• Handle order processing, prepare and maintain reports and files for all operations records,
  correspondence, plans, and expenses.
• Assist in the coordination and preparation of all necessary documentation for the movement of
  cargo.
• Perform tracking and tracing functions, and assist in the daily warehouse and administrative
  activities and communications
• Liaise closely with external parties to ensure shipments are expedited smoothly.
• Correspondence and liaison with customers and to attend to their enquiries.
• Handle any other ad-hoc / administrative duties.

Requirements:

• Proven experience in logistics, material planning, or coordination roles within a technical or data center environment.
• Familiarity with data center hardware, equipment, and related components; understanding of inventory management systems is preferred.
• Good Knowledge in Warehouse Management System (WMS)
• Minimum 'O' levels or Diploma in Logistics or Business Administration
• Good customer relationship management skills

Email me at [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director

Reg no.: R2090601 | EA No: 13C6684

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This position focuses on the deep learning inspired understanding of the responses of slopes to extreme draught-heavy rainfall climate. The selected Research Fellow is required to:

• Investigate the coupled multi-phase responses of slopes.
• Unveil the responses of slopes under periodic extreme drought-heavy rainfall.

Job Requirements

• Possess a PhD degree with related job experience.
• Having physical modelling experience.
• Good at coupled multi-physics modelling.
• Good written and spoken communication and able to present results.
• Open to fixed-term contract.

JOB DESCRIPTION

NGTC (National GaN Technology Centre) in IME is looking for a talent to join its Technology Team for R&D developments. The qualified candidate has opportunities to participate in technical tasks related to RF GaN foundry for the applications up to 140 GHz. This includes the following area:

• Perform experiments to analyse and determine the root cause of failure in GaN devices (e.g. Transistors, Capacitors, Inductors, Resistors, and Diode) and circuits.
• Join the cross-functional teams on appropriate FMEA (Failure Mode Effects & Analysis) techniques to establish an understanding of the failure mechanisms of the devices.
• Drives device reliability/qualification activities, and data correlation studies.
• Manage large & disparate data sets and distil information into concise presentations with possible recommendations as quick feedback to the engineering team.
• Develop new FMEA techniques to improve detection capability, productivity or process optimization.

JOB REQUIREMENT

• PhD degree in Electrical Engineering (EE), Materials Science or Physics, MS degree in EE with 5+ years or BS degree with 7+ years of relevant working experiences.
• > three-year of FMEA experience in step-by-step approach for identifying all possible failures in the semiconductor industry.
• FMEA experience in Wide-Bandgap (WBG) devices (GaAs, GaN) is plus.
• Good knowledge of WBG device physics and its fabrication is a big plus.
• In-Depth understanding of FMEA techniques (e.g. delaying of devices/chips by wet etching or plasma etching and its data analysis) with good hands-on experience in using different analytical techniques (e.g. SIMS, XPS, AES, SEM, FIB-SEM, TEM, AFM, etc.)
• Understanding of semiconductor device qualification standard such as JEDEC.
• Excellent report writing and presentation skills, able to robustly defend data analysis and conclusions where necessary.

OTHER ESSENTIAL ATTRIBUTES

• Good team-player personality, able to pro-actively engage with other groups
• Self-motivated, energetic, able to delivery in time

About the Scientific Data Strategy Office at A*STAR

With data at the core of A*STAR's vision to be Singapore's Data, AI, and Hybrid Compute node for scientific research, the newly established Scientific Data Strategy Office (SDSO) is responsible for strategizing the delivery of Whole-of-A*STAR data products and services. The SDSO also advocates for data literacy and partnerships to create value while ensuring safe usage of scientific data through best practices.

To realize these ambitions, the SDSO is tasked with:

1. Establishing A*STAR's scientific research data management framework:

• Developing and updating policies to promote good data management practices.
• Enforcing data security and compliance with standards, agreements, and regulatory requirements.
• Collaborating with other public or private sector data departments on data quality, standards, and interoperability.

2. Establishing A*STAR's scientific data architecture:

• Defining data products from new and existing cross-domain scientific data assets to support research use cases.
• Forging strategic data partnerships at both national and international levels to enrich A*STAR's data assets.
• Developing best practices for data engineering to transform data assets into products.

3. Establishing A*STAR's scientific data advocacy framework:

• Defining data services from new and existing cross-domain scientific data assets to empower Whole-of-A*STAR to be more data-driven through self-help.
• Developing data advocacy initiatives to raise awareness and literacy in scientific data management, products, and services.
• Connecting A*STAR's data framework with other national (e.g., MOH's TRUST and GovTech's enTRUST) and global data frameworks.

Job Descriptions

We are seeking an experienced Data Management Specialist (DMS) to join A*STAR. Reporting to the Director of the Scientific Data Strategy Office (SDSO), the DMS will support the development and implementation of A*STAR's scientific research data management activities, enhancing data accessibility, quality, and security to foster innovation and collaboration across research teams.

Key Responsibilities:

• Framework Development: Develop and enhance A*STAR's scientific research data management framework and guidelines, including data classification, ownership, and stewardship, leveraging proven frameworks and best practices.
• Policy Implementation: Define and implement data exploitation policies and processes across research teams and departments within A*STAR, ensuring data access, quality, and usability.
• Service Definition: Define and maintain data management services to promote and ensure the safe and secure usage of A*STAR scientific data.
• Data Sharing: Develop data sharing policies and agreements to support external data exploitation for scientific research purposes.
• Quality and Standards: Provide requirements on data quality, standards, and interoperability/collaboration within and beyond A*STAR.
• Evaluate Impact: Establish an evaluation framework to measure the value and impact of the SDSO's data management strategies and initiatives.
• Advise on Trends: Provide insights and updates to A*STAR management and research staff on industry trends, standards, relevant data laws, and regulatory requirements related to data management, recommending appropriate modifications to existing policies and practices.

Job Requirements:

• Experience: 5-8 years of experience in data management, with prior experience in developing and implementing data management frameworks and policies.
• Education: Bachelor's degree in Computer Science, Data Analytics, Data Science, Data Engineering, Information Management, or a related field. A Master's degree or certifications in data management are preferred.
• Technical Skills: Deep understanding of data management strategies, practices, policies, procedures, data security standards, and privacy laws.
• Analytical Skills: Strong analytical capabilities to assess the efficacy of data management strategies.
• Mentorship: Ability to mentor junior officers.
• Communication: Excellent communication, presentation, and interpersonal skills.
• Organizational Skills: Strong organizational skills and attention to detail.
• Proficiency: Proficient in relevant data engineering tools and applications.
• Contextualization: Ability to contextualize government policies and industry best practices in data management within A*STAR's context for scientific data.
• Collaboration: Ability to work effectively with various data-relevant stakeholders across A*STAR entities.

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.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

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 Fellow 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 Fellow will work to develop secure, isolated hardware platforms (for small, IoT-style systems) while maintaining efficiency and performance. This is done through the development of novel designs that enable isolation and security, even in the presence of shared hardware resources. He/she should possess experience or interest in at least one of the following research areas:

• Hardware and Systems Security
• Computer Architecture
• Energy Efficient SoC Design
• Simulation Methodologies (Cycle-level Microarchitecture Simulation)

Qualifications

• A PhD degree in a relevant area
• Good publication record
• Experience in research

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 Associate in the Department of Computer Science, School of Computing (SoC). The School of Computing 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 largescale experimental systems and improving the wellbeing 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 Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Job Purpose
The mission of the Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in the Yvonne Tay team which studies RNA biology in cancers. You may refer to https://csi.nus.edu.sg/researcher/yvonne-tay/ for more information.

Interested applicants should include the following documents in the job application
1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. 3 referees including their name, contact information (email) and relationship to applicant

Duties & Responsibilities
Research:

• Carry out assigned experiments under initial guidance and then independently
• Organize, preserve, and present the results of the experiments in a logical manner
• Record all assigned experiments and results properly and systematically
• Analyse data and design subsequent experimental workflow
• Assist in supervising, training and guiding attachment/undergraduate students as required

Administrative duties:

• Assist with lab housekeeping and administrative duties as needed
• Ensure that standard operating procedures and safety regulations are followed

Qualifications

• Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
• Interest in pursuing a research career in studying RNA biology in cancer
• To be a team player with the ability to work collaboratively with other members of the lab.
• Experience in running projects independently is preferred.
• Experience in laboratory management is preferred but not essential.
• Ability to communicate fluently in written and spoken English
• Knowledge in cell culture and basic molecular biology techniques (western blotting/ RT-PCR etc)
• Proficiency/ expertise in data analysis (R or equivalent)

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

Join our physician-led cutting-edge metabolomics lab as a Bioinformatics Expert and help us make an impact in the world of precision medicine.

We are a dynamic research lab at the forefront of metabolomics, dedicated to advancing knowledge in metabolic pathways, biomarker discovery, and personalized healthcare. Our interdisciplinary team collaborates with both Singapore based and global institutions. We offer opportunity to work on innovative projects with a collaborative team and a patient-centric focus with access to state-of-the-art facilities and resources.

Main Duties and Responsibilities

Key Responsibilities:

• Develop and implement data extract, transform, and load (ETL) pipelines for metabolomics data (mainly LC-MS/MS based metabolomics).
• Perform data integration from multi-omics platforms (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning techniques (preferably explainable models) for biomarker discovery in large clinical dataset.
• Maintain and update databases and in-house analytical tools for metabolite identification and pathway analysis.
• Lead or significantly contribute to successful collaboration in clinical cohort research.
• Derive clinically actionable insights from data patterns.
• Collaborate with biologists, chemists, and clinicians to interpret results and publish findings.

Admin:

• Assist the professor in writing grants & manuscripts for higher impact journals.
• Assist with ethics submissions.
• Attend meetings with the primary investigator and team members.
• Liaise with multi-national collaborators for commercialization and validation of our discoveries.

Qualifications

The applicant Must:

• Ph.D. or Master’s in Bioinformatics, Computational Biology, or related field.
• Proficiency in R, Python, and/or bioinformatics tools for metabolomics.
• Ability to build custom applets/scripts for data analysis.
• Ability to thoroughly explore large data sets (up to ~PB scale), derive hypotheses, and adjust analysis dynamically.
• Experience in database query (e.g. KEGG, Ensemble, HMDB, wikipathway).
• Awareness of data standards for clinical research and statistical analysis (e.g. EQUATOR Network)
• Strong analytical and communication skills.
• Experience in and/or knowledge of medical data, clinical processes or trials
• Experience in constructing clinical risk prediction models for biomarker research will be a plus.
• Experience in translating conceptual algorithms to implementable code will be a plus.
• At least 2 years of relevant research experience and prior publications will be 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

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. The School of Computing 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 Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills