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 incumbent will provide administrative support to the Undergraduate Studies Section, Dean's Office, Faculty of Science. Duties and responsibilities include, but are not limited to the following -

1) Faculty Co-ordinator for timetabling

• Keep abreast of Science Faculty Curriculum Committee (SFCC)/Board of Undergraduate Studies (BUS)/University Committee on Educational Policy (UCEP)/Senate approved proposals to facilitate planning and scheduling of classes and examinations.
• Coordinate with departments for planning of following academic year's timetable in the Class and Examination Timetabling System (CMIS).
• Update class and examinations timetable changes as and when required.
• Work with departments to verify accuracy of data and resolve any issues for the purpose of Student Feedback Exercise.

2) Pre-examination preparation and during examination support

• Plan and coordinate examination activities for each Academic Year according to the timelines and deadlines stipulated by Registrar's Office.
• Coordinate system updates for examinations related information and ensure data is appropriately entered.
• Act as liaison between Registrar's Office and departments to ensure that all necessary information are disseminated and shared with all parties involved.
• See to the examinations logistical requirements as well as arrangements for students with special needs.

3) Post-examination activities

• Coordinate and work closely with departments to complete the necessary checks and comply with the examinations processing schedule stipulated by Registrar's Office.
• Perform the duties of Faculty's Board of Examiners Secretariat and ensure that decisions made are updated accurately and quickly in Edurec and followed through.
• Plan, conduct and prepare report for examinations audit.

4) Undergraduate Studies Section duties

• To be rostered for section duties such as taking notes of regular section meetings, replying to email enquiries from students, and counter duties.

5) Others

• Provide assistance at University/Faculty level events such as Open House, Freshmen Orientation Briefing, and Commencement.
• Any other duties as assigned by the Vice Dean.

Qualifications/Requirements/Other Info

• Degree holder with positive learning attitude.
• Experience in timetabling and scheduling will be advantageous.
• Proficient in Microsoft applications.
• Ability to work under pressure and multi-task in a fast-paced environment with multiple timelines and demands.
• Ability to exercise tact and discretion in handling sensitive and confidential information.
• Possess effective oral and written communication skills.
• Mature, independent, adaptive and meticulous.
• A team player with the ability to interact well with all levels of stakeholders.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Lab Technician position is available in Professor Chng Wee Joo’s research group at the Cancer Science Institute of Singapore. This role will involve processing various types of patient samples, managing the sample inventory, and supporting animal work experiments. The successful candidate will play an essential role in the lab’s ongoing research in haematological malignancies, focusing on understanding the pathogenesis of cancers like multiple myeloma, acute myeloid leukemia, and NK/T-cell lymphoma.

Key Responsibilities:

• Sample Processing:Process a range of patient samples, including bone marrow, peripheral blood, and buccal swabs, with accuracy and adherence to standard operating procedures.
  Prepare samples for downstream analyses such as genomics and proteomics studies to aid research into cancer biomarkers and therapeutic targets.
  
• Inventory Management:Organize and maintain a detailed inventory of patient samples, ensuring proper labeling, storage, and tracking.
  Document and record all sample processing details accurately to contribute to research data integrity.
  
• Animal Work Support:Assist in handling laboratory mice, including breeding, monitoring, and performing procedures such as blood collection and organ harvesting.
  Support researchers in setting up animal experiments that model cancer progression and response to treatments.
  
• Lab Maintenance:Maintain a clean, safe, and organized laboratory environment, following all safety protocols and biosafety guidelines.
  Ensure proper maintenance and calibration of lab equipment to support sample processing and animal work.
  
• Team Collaboration:Work closely with researchers and other lab members, communicating effectively to ensure efficient sample flow and workflow.
  Contribute to team discussions by providing feedback on sample processing methods and laboratory procedures.

Qualifications

• Minimum Diploma in Life Sciences, Biomedical Sciences, or a related field.
• Previous experience in a laboratory setting is preferred, especially with sample processing and/or animal handling.
• Familiarity with laboratory procedures, including sample processing and inventory management.
• Knowledge of laboratory safety protocols and biosafety practices.
• Strong attention to detail and organizational skills to handle high volumes of samples accurately.
• Effective communication skills and a collaborative team approach.

Desirable Attributes:

• Experience working with cancer research samples or models.
• Interest in cancer biology and translational research.
• Ability to adapt in a dynamic research environment and support multiple projects.

Deployment:

The Science Laboratory Assistant is required to work 42.5hours per week, spread over 5 days.

1. During term time, Working hours: 7:00am to 4:15pm on Mondays to Fridays (excluding *45min lunch break).
2. During school holidays,Working hours: 8:00am to 5:15pm on Mondays to Fridays (excluding 45min lunch break). Stationed at GO to assist in Admin Work *12:45pm – 1:30pm - Lunch.

Scope of Works:

The duties and responsibilities of the Science Laboratory Assistant:

1. Prepare teaching resources for Science lessons, EE/LLP level programmes, E2K enrichment classes, i.e., packing of materials needed for experiments, setting up of, clearing away and cleaning of experimental set-ups and /or demonstration apparatus as instructed by the Level Reps and Science teachers;

2. Prepare resources for the conduct of Science Practical Tests and maintain examination integrity;

3. Ensure the maintenance (daily cleanliness and upkeep) and safety requirements of the following Special Rooms / Spaces under the Science Department;

• - Science Rooms
• - Maker Studio(s)
• - Learning spaces (e.g. EE Hub, Outdoor Experiential Learning spaces such as the Ecogarden, Rainwater Harvest system, Aquaponics/hydrophonics system, Butterfly Garden, Gardening areas, etc)

4. Adhere to the following requirement stated in the Safety Handbook:

PART A

• - Maintain a safe and tidy lab environment.
• - Display general laboratory safety guidelines clearly for all laboratories.
• - Display the evacuation route prominently in each laboratory.
• - Ensure that all apparatus and equipment are safe for use.
• - Ensure that chemicals are labelled properly in accordance to GHS in Chapter9.
• - Ensure that spills are handled in accordance with guidelines.
• - Ensure that chemicals (see Section 11.3.5.) and biological materials (see Section 10.3.7.) are disposed of appropriately.
• - Store, use and handle chemical explosive precursors (EP) in accordance with the regulations stated in Section 11.2.

PART B

• - Maintain laboratory equipment, apparatus, PPE, materials and specimens in good working condition.
• - Report all faulty machines and equipment immediately, and display an "Out of Order" sign prominently on the machines/equipment.
• - Check that safety devices in the laboratory, such as emergency eyewashers, showers and fire extinguishers, are in working condition.
• - Inspect gas and water systems and initiate necessary repair or maintenance work.
• - Maintain a record or file of the Safety Data Sheets (SDS) that accompany purchased chemicals (see also Section 11.3.1. on the classification of hazardous chemicals).
• - Keep a stock book and breakage record and indicate necessary replacement.
• - Prepare an inventory of stocks annually.
• - Maintain a usage record.
• - Check and replenish first aid supplies (see Annex B for the minimum contents of a First Aid Kit).
• - Guide or supervise laboratory attendants, or other personnel working in the lab, on laboratory safety.

5. Support Science/Maker-related CCAs on CCA days from 7:30am to 9:00am;

6. Oversee the use of the Maker Studio(s) by students during recess and after school;

7. Carry out regular maintenance of Science resources/apparatus and the SPARKLES Kit;

8. Carry out internal stock take of resources and inform Science HOD/LH SC on stocks to be replaced;

9. Keep record of internal stock-take, breakage record, replacement record;

10. Prepare for and support HOD/LH Science in the physical external stocktake with personel from ST Engineering;

11. Carry out follow-up actions after external stocktake, guided by HOD/LH SC;

Administrative duties and responsibilities of the Science Laboratory Assistant during school holidays:

1. The School Laboratory Assistant is to perform the following administrative duties:

• - front desk duties (e.g. handling calls in general office, attending to students)
• - filing and organising documents
• - packing of items
• - assisting ESOs
• - administration tasks assigned by the Vice-Principal / Admin Manager.

2. To be responsible for the proper maintenance of all the First Aid Boxes in the school

Administrative duties and responsibilities of the Science Laboratory Assistant during term time on an ad hoc basis:

1. The lab Asst will be called upon to assist in the administrative duties listed in item 1 when needed.

Deployment:

• Mondays to Fridays: 8:00am to 1:30pm, not inclusive of lunch break
• Service not required on Saturdays, Sundays and gazetted public
• holidays

Scope of Works:

1. Prepare Science teaching & learning resources based on:

• Workbook requirements
• Teaching needs e.g. pull out plant model display when the P3s are learning about plants to be showcased in the lab

2. Maintain cleanliness of the two labs and the equipment

3. Arrange for feeding of the fish in the aquaponics system (both

indoor and outdoor), pond at eco-garden

4. Stock-take of equipment at least twice a year

5. Assist in the inventory taking when the external audit asset team

comes by

6. Assist teachers in the lab during lab sessions if required

7. Assist teachers in innovative learning lab for Science-related

activities whenever possible including setting up of projector to

play video in canteen during recess time

8. Assist teachers in preparation of activities for Environmental and

Science club

9. Look into the display and loaning of Science books to the students on an ad-hoc basis, either in lab or in the canteen

10. Help to assist in recess activities during Science department

events such as integrated learning week

11. Help to assist during Science practical test days, will be required

to work longer on some days in Term 2 to prepare and to assist

during the days. (Up till 2:30pm, 2 – 3 days prior and after the

practical test days)

12. Must be confident in handling live specimens e.g. changing and clean of live stick insect tanks / changing leaves stalks for live caterpillars.

Deployment:

• Mon to Fri: 7.15 am to 4.45 pm
• Service not required on Sat, Sun and PH's

Scope of Works:

1. Provide support to teachers in teaching and learning
2. Assist in the preparation of apparatus, equipment and reagents for laboratory lessons
3. Maintain general cleanliness of equipment and workplace
4. Simple administrative and office work as and when request
5. Any other duties assigned by Science HOD or School

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow position in the characterization of adaptive immunity against emerging highly pathogenic viruses, within the Infectious Diseases Translational Research Programme (ID TRP) at the Yong Loo Lin School of Medicine. The ID TRP is a 17-member programme comprising both basic scientists and clinician-scientists, enabling seamless translation of research. The programme has strong expertise in bacterial antibiotic resistance, multidrug resistance, and emerging viruses, covering areas such as epidemiology, molecular mechanisms, animal models, and therapeutic and prophylactic interventions. Other active areas of research include phage biology, pneumococcal infections, and microbiome studies. Appointments will initially be made on a yearly contract basis, with the possibility of extension.

Purpose of the post

We are seeking a highly motivated individual with a strong passion for emerging viral diseases, who is eager to contribute to advancing our understanding of infectious disease threats in this region and to help strengthen preparations for future pandemics. As a Research Fellow (RF), you will play a pivotal role in the project, working closely with the Principal Investigator and the broader study team to ensure the project is completed on time and with high impact.

The primary responsibility of the RF will be to lead the project independently, while also collaborating closely with our regional study partners. You will be expected to design, execute, and oversee experiments, particularly in animal models, to investigate immune responses to emerging viral pathogens. This will involve conducting both humoral and cellular immunological assays, with a focus on understanding how the immune system responds to new and potentially dangerous viral threats.

The ideal candidate will have a strong background in immunology and virology, with expertise in studying immune responses—both humoral and cellular— to infectious diseases. You should be comfortable working independently and taking ownership of the project, while also having the ability to communicate effectively and collaborate with diverse teams of researchers. This is an exciting opportunity for a researcher passionate about making a meaningful contribution to public health and pandemic preparedness.

Main Duties and Responsibilities

The RF will be responsible for:

• Designing and developing assays to assess humoral and cellular immune responses to infectious diseases.
• Conducting animal experiments, with a focus on immunization and infection studies.
• Characterizing and isolating monoclonal antibodies from immunized mouse models.
• Supervising and training research assistants and undergraduate students.
• Collaborating with team members to provide expertise in study design and data analysis.

Qualifications

The applicant should ideally:

• Hold a PhD in virology or immunology.
• Have expertise in T cell and antibody-related techniques.
• Possess hands-on experience in handling laboratory animals.
• Demonstrate a strong research background, with a track record of publications in related fields.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Tan Chee Wah 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.

We are one of Asia's leading content providers, producing documentaries, entertainment, children's programming and formats.

We are looking to hire a creative, dynamic writer/director for our English and Chinese and Malay Departments.

The person must have a flair for language, know the medium, be able to research and be well read and travelled.

He/she must be passionate about developing stories which touch people, make social statement or simply able to make historical events come alive for the audience through his/her writing.

Job Scope:

1) Write and develop broadcast content

2) Research profiles and storylines

3) Brain-storm, generate ideas and concepts for new projects

4) Must be bilingual in English and Mandarin/Malay

5) Some writing and directing expereince preferred

Full CV and writing samples are required with the application.

Only shortlisted candidates will be contacted.

About EDDC:

EDDC is a National platform dedicated to developing innovative therapies that transform patients' lives. Our research and development efforts are focused on uncovering the underlying mechanisms of disease and translating this knowledge into impactful treatments. We work collaboratively with public sector and industry partners to translate scientific discoveries arising from Singapore"s biomedical and clinical sciences R&D into innovative healthcare solutions, with a focus on Asian-prevalent diseases.

Position Summary:

We are looking for an experienced research scientist in biologics drug discovery to lead biologics projects and platform. The successful candidate will lead the planning and execution of drug discovery projects, coordinating among different scientific disciplines to implement strategic initiatives, monitor the progress of discovery projects and address any development bottleneck. The role also involves facilitating interactions with internal teams, external partners, and key stakeholders.

Project leadership:

• Lead 1-2 biologics project/platform, including scouting, nominating and driving the projects to meet key milestones
• Collaborate cross-functionally to align project resources and execution, proactive in proposing innovative solutions in the development of biologics therapeutics.
• Plan and execute complex research experiments on a need basis.
• Apply biologics technologies to enhance project innovation and efficiency.
• Partner with external academic and industry collaborations to advance new partnership opportunity.

Function innovation and continuous improvement:

• Active contribution to the function group by offering technical expertise in biologics drug discovery and development.
• Identify and evaluate new process improvement, technologies and approaches and effectively apply to project.

Job Requirements:

• PhD in in pharmaceutical sciences and related biomedical disciplines.
• A minimum of 5 years relevant postdoctoral or pharmaceutical industry experience with a strong focus on biologics drug discovery.
• Demonstrated ability to manage multiple parallel projects.
• Demonstrated capacity to conceptualise, strategise and execute research plans.
• Strong written and verbal communication skills, with an ability to interpret and explain complex data.
• Self-motivated, fast learner with strong organization skills.
• Good interpersonal skills, team-orientated with strong collaborative spirit in building relationships internally and externally.

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

Job Description

Dr Chen Jinmiao is looking for a motivated Research Associate to join the Centre for Computational Biology (CCB) who will participate in AI-powered analysis of single-cell and spatial omics for precision medicine. Dr Chen’s research team develop AI algorithms for spatial and single-cell omics, integrates publicly available data into a centralised hub, and utilises this platform to build AI models for discovering biomarker and drug targets.

The selected candidate will perform a variety of research activities under the supervision of the Principal Investigator, including but not limited to the following:

• Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data.
• Independently carry out computational and bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies.
• Application of qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation, and evaluation of -omics data sets, conceptualize new ideas and develop plans for independent research in the field of single-cell and spatial omics and other -omics data modalities.
• Write and review research papers and present research outcomes.
• Perform routine duties related to the research study, such as data curation and making data backups, as required.
• Contribute to project management, provide guidance to junior researchers as well as undergraduate and graduate students, occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in a related scientific area (e.g., AI, Deep Learning, Machine Learning, Statistics, Database, Bioinformatics, Computational Biology, Computer Science, Data Science, Data Analytics, Biology) with demonstrated hands on experience in bioinformatics and genetics/genomics data analyses.
• Familiar with and experienced in handling and manipulating omics datasets, including spatial transcriptomics, RNA-seq, and single-cell RNA-seq, etc.
• Proficient in R / Python and Linux / Bash.
• Prior experience and working knowledge of additional computational platforms and applications (e.g. Quantum computing, Perl, Java, etc.) preferred.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

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 looking for an experienced and proactive Genomics and Data Analytics Core (GeDaC) Facility Manager to lead and expand our team at Cancer Science Institute of Singapore. The ideal candidate will bring together a scientific background, business development expertise, and operational leadership skills to drive growth, build partnerships, and ensure the financial sustainability of GeDaC. This position will be key to advancing our facility’s presence in the genomics and data analytics fields, particularly in supporting cancer research initiatives. This is a unique opportunity to shape the future of bioinformatics research through a cutting-edge core facility. If you are a passionate and motivated individual with a strong business acumen, we encourage you to apply.

Strategic Leadership and Operational Oversight:

• Lead the day-to-day operations of the GeDaC facility, ensuring high-quality service delivery and operational efficiency.
• Develop and implement strategic initiatives to enhance GeDaC's impact within the Cancer Science Institute and across Singapore’s research community.
• Identify and address operational bottlenecks and areas for improvement, optimizing workflow to increase productivity and client satisfaction.

Marketing and Business Development:

• Create and execute a comprehensive marketing plan to promote GeDaC’s genomics and data analytics services, targeting both academic and industry partners.
• Establish and maintain relationships with key stakeholders, including principal investigators, research labs, healthcare professionals, and corporate partners.
• Conduct market research to stay abreast of advancements and emerging trends in genomics and bioinformatics, using insights to inform service offerings and identify new revenue opportunities.
• Represent GeDaC at conferences, workshops, and networking events, showcasing the facility’s capabilities and building a strong client network.

Financial Management and Revenue Growth:

• Develop and manage the facility’s budget, monitoring revenue and expenditure to ensure financial sustainability.
• Lead contract negotiations with clients and vendors, setting pricing structures that reflect market value and service costs.
• Track service utilization and generate periodic performance reports, using data to drive business strategies and make informed decisions about resource allocation.
• Oversee billing, invoicing, and collection processes, ensuring timely and accurate payments.

Product Development and Client Relations:

• Collaborate with scientific and technical teams to develop new services and products that meet the evolving needs of the genomics and data analytics research community.
• Engage with clients to understand their research objectives, providing tailored solutions and ensuring high levels of satisfaction.
• Act as the primary point of contact for client inquiries, addressing concerns promptly and fostering long-term partnerships.

Qualifications

• At least Master's Degree in Genomics, Bioinformatics, Data Science, or a related field, with a strong foundation in cancer genomics or biomedical research.
• Proven experience in business development, marketing, or management roles within a scientific or technical services environment, preferably in core facilities or research institutes.
• Demonstrated ability to create and execute business strategies that drive growth and financial sustainability.
• Strong leadership skills with a proactive and collaborative management style.
• Deep understanding of genomics, bioinformatics, and data analytics, with the ability to translate scientific capabilities into client-focused solutions.
• Proficiency in budgeting, forecasting, and revenue tracking, with a track record of managing financial performance.
• Excellent written and verbal communication skills for engaging diverse audiences, including researchers, clinicians, and corporate clients.
• Forward-thinking with the ability to foresee industry shifts and adjust strategies accordingly.
• Committed to providing exceptional service and fostering long-term client relationships.
• Ability to manage multiple tasks effectively while maintaining a high level of attention to detail.

Deployment:

• Mondays to Thursdays: 7:30am to 1:30pm, inclusive of 30 mins lunch break

• Fridays: 7:30am to 3:30pm, inclusive of 1 hour lunch break

• Service not required on Saturdays, Sundays and gazette public holidays.

Scope of Service:

a) Assist in the daily operations of the assigned science laboratories, science gardens, aquaponics, hydroponics and pond.

b) Responsible for the setup, clean up and general maintenance of the science laboratories and Science Areas.

c) Responsible for the cleanliness of the Recycling Corner.

d) Assist in preparation of laboratory apparatus, equipment and teaching materials for scheduled laboratory activities.

e) Assist in stock taking exercise and maintenance of equipment.

f) Typing of worksheets and notes.

g) Supporting and assisting in departmental events, activities and programmes.

h) Any other duties assigned by the School.

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

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 project aims to realize ferromagnetic twistronic devices for high frequency control of magnetic, electronic, and optical properties. The job will involve fabrication of ultraclean samples in controlled environment, and their characterization using magnetic, optical, and electrical methods.

Job Requirements

The job requires experience in realizing scientific projects based on fabrication and characterization of functional devices. Solid foundation of laboratory work and performing work in a highly collaborative environment is necessary. The candidate needs to exhibit excellent organization skills and ability to efficiently progress with research objectives. This needs to be based on independent, critical thinking and problem solving skills.

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

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

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.

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will contribute to developing analog circuit blocks e.g. low-power operational amplifiers, voltage/current references, and voltage regulators based on thorough topology analysis. This candidate will work closely with other team members for the circuit design, test verification, as well as system integration and validation for a broad range of innovative sensor systems.

Role & Responsibilities

• Circuit schematic design and simulation, layout supervision, pre-tapeout design verification, test plan development and chip measurement
• Work together with teams to investigate novel circuit/system solutions to create new inventions

Requirements

• Bachelor’s / Master’s degree in Electronic Engineering
• Good understanding of CMOS analog IC design methodologies
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

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.

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.