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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/she will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

• The research fellow should have a PhD degree in a relevant field, with experience in the following areas:

- 3D concrete printing;

- Laboratory ballistic tests;

- Design of blast tests for concrete specimens;

- FE simulations of blast loading on concrete structures.

• Strong written and spoken communications and able to present results.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

You will work as an integral part of the laboratory operations team, providing support to the laboratory manager in operations and related laboratory duties such as safety matters, procurement and core equipment training. If you thrive in a dynamic environment and have a passion for managing laboratory operations and contributing to scientific advancements, this role could be an exciting fit for you!

Key Responsibilities

• Oversee the daily operations of the laboratory, ensuring that all processes and procedures are followed accurately and efficiently
  Facilitate training and development of laboratory users
  Support the operations team on laboratory safety and documentation
  Ensure compliance with all relevant regulations and safety standards to maintain a safe working environment
  Manage the laboratory procurement of equipment and supplies, including negotiating contracts with vendors and suppliers
  Implement and oversee maintenance schedules for laboratory equipment to ensure optimal performance and longevity
  Maintain the microfabrication cleanroom in functional state
  Stay abreast of technological advancements to enhance operational effectiveness.
  Other ad-hoc duties

Qualifications

• Bachelor’s Degree in Engineering or related field from a reputable university
• At least one year of working experience in a research/laboratory environment and familiarity with research operations
• Working experience in rapid prototyping, CAD or cleanroom microfabrication is preferred, but not necessary
• Understanding of safety regulations and compliance
• Ability to work cooperatively and communicate effectively with team members and researchers
• Passionate in mastering research equipment and passing on knowledge to users

To apply, please send your cover letter, CV and three references (name, institution, email). Only shortlisted candidates will be contacted.

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 laboratory of Presidential Young Professor Liu Yuxin at National University of Singapore (NUS Bioelectronic lab website: https://www.lab-liu.com/) seeks postdoctoral fellows with strong enthusiasm and interest in implantable electronics, wearable electronics, flexible electronics, and bioelectronics research.

Key Responsibilities

• Lead and manage a multidisciplinary research project
• Design and conduct research in flexible electronics, implantable electronic, wearable electronics and electrical engineering area
• Validating the bioelectronics in pre-clinical or clinical model
• Prepare and draft manuscripts for high-impact journals

Qualifications

• Obtained or expecting a PhD degree in Electrical Engineering, Biomedical Engineering, Chemistry, Material Science and Engineering or related fields
• A strong interest in bioelectronics, wearable electronics, flexible electronics. Scientific curiosity and motivation to perform scientifically rigorous experimental work.
• Previous experience in printed electronic board (PCB) design, electronic circuits, firmware and APP development
• Excellence in conducting independent research with great critical thinking and experimental design. Interested in working in a multidisciplinary team and leading a multidisciplinary project
• Strong verbal and written communication skills in English
• Previous research experience in microfabrication is advantageous.

Job Description:

We are currently seeking talented individuals with:

• A PhD in many-body quantum physics or similar
• Able to do literature review and summarize the main findings from the literature
• Competence in numerical many-body quantum physics
• Competence in disseminating the outcomes of the research including in peer-reviewed academic publications of international standing
• Ability to support the research team
• Perform other tasks as required by the Principal Investigator

Job Requirements:

To apply for this position, applicants should be:

• Proficiency or understanding many-body quantum systems out of equilibrium
• Expertise in simulating many-body quantum systems
• Proficient communication and writing skills in English
• Possess excellent problem-solving abilities as well as strong attention to detail.
• Someone who can work independently while still collaborating effectively within a team environment when needed.

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 MRI trained Radiographers in the Centre for Translational MR Research, Yong Loo Lin School of Medicine. Five days work week, non-shift.

Purpose of the post

The successful candidate will perform independent MRI examinations on a wide range of body parts and to be familiar with different MR imaging techniques for research - primarily neuro related but also some body, musculoskeletal, cardiac and MR spectroscopy. Candidate will also have the opportunity to learn MR data processing and programming if keen.

Main Duties and Responsibilities

1. Perform MR imaging on a range of body parts and MR techniques.
2. Maintain MR Safety of all procedures happening at scanner site.
3. Responsible for good housekeeping of the procedure rooms and work areas.
4. To run regular quality assurance checks on scanner.
5. To work with researchers to develop standardized scanning protocols for their studies and to work in accordance to safe work practices.
6. Ensure proper archival of acquired data.
7. Perform other administrative duties or ad-hoc quality departmental project/activities as assigned by the Director/Reporting Officer.

Qualifications

1. Degree in Radiography/ Diploma in Diagnostic Radiography/ Degree in medical imaging
2. Valid registration with Allied Health Professions Council (AHPC)
3. MRI trained
4. BCLS + AED certified
5. Effective communication and interpersonal skills

Remuneration will be commensurate with the candidate's qualifications and experience. The review starts in September 2024 and will continue until the position is filled.

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Bachelor Degree in Engineering or relevant field
• Experiences of (small-scale) simulations of air pollutant dispersion, meteorology modelling, data processing
• Demonstrating as a fast learner of conducting literature study and literature summary
• Experiences of handling big data via R, Python, Matlab, etc.
• Experience with UNIX-based operating systems and bash script or similar
• Strong interests in applying machine learning models and applications to atmospheric research
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant is needed to provide technical, research, and administrative support for ongoing projects in our flexible electronics laboratory.

Responsibilities:

• Conduct experiments under the general guidance of the Principal Investigator (PI) and senior researchers; monitor, document, and report experimental results and research findings.
• Collect, manage, and analyze data; assist in preparing reports and research summaries.
• Contribute to the preparation of scientific manuscripts and other publications.
• Support project management activities and provide guidance to master and undergraduate students.
• Coordinate with vendors for the operation, maintenance, and servicing of laboratory equipment and facilities.
• Assist with the procurement of consumables and new equipment, working with the department, CPO, and Finance teams on purchasing and payment processes.
• Work closely with the PI and lab members on research-related tasks, assisting in the smooth functioning of the laboratory and research group.
• Perform ad-hoc duties as assigned by the PI.

Qualifications

• At least 1 year of relevant experience in a research or laboratory setting (preferred).
• Proficiency in laboratory safety protocols and adherence to best practices in a research environment.
• Willingness to work on a fixed-term contract.
• Strong ability to work independently and as part of a collaborative team.
• Excellent communication skills, both written and verbal, in English.
• Demonstrated leadership or supervisory experience in a research or team-based setting.
• A Bachelor's degree or higher in a relevant field such as Electrical Engineering, Biomedical Engineering, Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Chemistry, Physics, or a related field.

Position title : Vision Software Engineer

Location: Admirality Street
Working Days: 5 Day A Week
Working hours : 9:00am - 6:00pm
Salary : $5000 - $8000 (depends experience)

Job Summary:

We are seeking an experienced Software Engineer to join our team, responsible for
designing, developing, and maintaining software applications for vision systems.

Responsibilities:

• Design and develop PC based automated visual inspection systems for our full range of semiconductor equipment.
• Evaluate and feasibility study on the customer’s vision specifications.
• Responsible to integrate any new vision hardware (camera, frame grabber, etc) onto the vision software.
• Troubleshooting and improve the processing time of the inspection.
• Provide technical support to internal and external customers to fulfill the inspection requirements. Change the vision inspection algorithm to improve the inspection capabilities and its performance.
• Be the key driver for continuous improvement plans for new and existing inspection capabilities.
• Coordinate with customer for any new enquiry with sale personnel if needed.
• Work closely with the vision application and optics team members to produce the best inspection result.
• Build and nurture a culture in engineering organization of harmony, quality, ownership, collaboration, continuous improvement and data-driven decision making.

Requirements:

• BS Science Diploma or higher in electrical and electronic, mechanical, or mechatronics engineering or related technical discipline or equivalent practical.
• Technical troubleshooting experience.
• Minimum 3 years in related field.
• Relevant technical work experience including automation machine system troubleshooting.
• Experience working with end customers.
• Understanding semi-conductor manufacturing process, vision inspection settings, machine software settings and configuration or equivalent practical experience.
• At least 3+ years of experience in software development with C#, WPF, Image Processing , Halcon (bonus)

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

Job Scope

1. Experience of selected electrical parts, circuit design, printed circuit board design, standard design and evaluation.
2. Knowledge of explosiion-proof (FM, CSA, ATEX), Safety (CSA, CE), EMC (IEC) and Classification (Lloyd's Register of Shipping, American Bureau of Shipping, Bureau Veritas, Det Norske Veritas).
3. Businsess knowledge of leadership, logical thinking of Yokogawa product knowledge.
4. Can use Electrical circuit CAD, PCB CAD, Electrical Circuit simulation.

Requirement

1. Master or Bachelor in Engineering, preferably on Electrical & Electronics Engineering with at least 8-10 years of related working experiences.
2. Knowledge of ISO9001, ISO14001 & ISO45001 standards.
3. Able to read, write and communicate technically in English and Japanese fluently with Headquarter team

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the Chinese market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim to achieve every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

About the Team

Our NLP team focuses on natural language generation, improving the reasoning ability of language models, such as machine translation, natural language generation, etc. We invite researchers and engineers in machine learning and natural language processing at all levels. We aim at pushing the limits of machine intelligence.

Responsibilities

- Build multilingual multimodal large language models, multilingual translation, end-to-end speech/video cross-lingual translation large language models, text generation, and other core natural language processing algorithms.

- Building basic NLP components for different application scenarios.

- Cutting-edge NLP algorithm research and applications on our products.

Qualifications

Minimum Qualifications

- Minimum Master's in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or other relevant fields

- Experiences and strong skills in the development of technologies in some of the following areas: natural language generation, machine translation, large-scale pre-training, reinforcement learning, etc

- Strong analytical and problem-solving skills.

- Proficiency in computer science and coding skills.

Preferred Qualifications

- Candidates with top conference papers or influential open-source projects are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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

• Daily operational tasks such as subject recruitment, data collection, sample collection, processing and storage.
• Follow up with research subjects for research visits
• Assist PI with research meeting and collaboration
• Assist PI with databases creation and data entry
• Assist PI with ethics application
• To perform other related duties, incidental to the work described herein.

Qualifications

• Bachelor’s Degree in Nursing or relevant
• Excellent writing and communication skills in English
• Highly organized and able to work effectively under pressure, use independent judgement, and produce a quality work product within tight time constraints
• Ability to work in a multidisciplinary team

1. Cover letter highlighting relevant experience and career goals
2. Curriculum Vitae, containing details of three named referees
3. A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

Please note that only shortlisted candidates will be contacted.

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

Working Days & Hours: 5 days across Monday – Sunday, Up to 44 hours per week. (11am - 8pm/ 12pm - 9pm)
Location: Newton/ Chinatown

Contract: yearly renewable based on business needs and individual performance

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Excellent customer service skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job...

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a research fellow for the project on ultraprecision fabrication of functional components with additive manufacturing and micro-scale surface treatment. The candidate is required to conduct design and manufacture of the bespoke fixtures and tooling for post-processing of the 3D-printed geometries to meet the industrial requirements. He/she will also be responsible for reporting and coordinating with our stakeholders and writing technical papers.

Qualifications

Interested applicants are required to possess a PhD degree. He/she should have a good understanding in

1. Ultraprecision machining technology with excellent hands-on experience;
2. A solid background of micro-/nano-scale material removal processes and mechanisms with a good track record of publications;
3. Experienced in metal additive manufacturing and its post-processing methods; and
4. Mechanical and non-mechanical surface treatment and finishing techniques.

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

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.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the Chinese market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim to achieve every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

About the Team

Our NLP team focuses on natural language generation, improving the reasoning ability of language models, such as machine translation, natural language generation, etc. We invite researchers and engineers in machine learning and natural language processing at all levels. We aim at pushing the limits of machine intelligence.

Responsibilities

- Build multilingual multimodal large language models, multilingual translation, end-to-end speech/video cross-lingual translation large language models, text generation, and other core natural language processing algorithms.

- Building basic NLP components for different application scenarios.

- Cutting-edge NLP algorithm research and applications on our products.

Qualifications

Minimum Qualifications

- Minimum Master's in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or other relevant fields

- Experiences and strong skills in the development of technologies in some of the following areas: natural language generation, machine translation, large-scale pre-training, reinforcement learning, etc

- Strong analytical and problem-solving skills.

- Proficiency in computer science and coding skills.

Preferred Qualifications

- Candidates with top conference papers or influential open-source projects are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Working Days & Hours: 5 days across Monday – Sunday, Up to 44 hours per week. (11am - 8pm/ 12pm - 9pm)
Location: Newton/ Chinatown

Contract: yearly renewable based on business needs and individual performance

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Excellent customer service skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job...

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

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

The Global Centre for Asian Women’s Health (GloW) aims to build a global research platform for transdisciplinary endeavours to address major health concerns over a woman's lifespan and across generations. Through its main hub in Singapore, the Centre will engage in multi-disciplinary research to promote women’s health, including a series of diet and lifestyle intervention studies.

Purpose of the role

The project coordinator/manager will play a key role in dietary intervention studies by actively managing and coordinating diet and lifestyle intervention studies in GloW. Responsibilities include performing administrative duties to ensure the studies’ success and compliance. The staff will work closely with Principal Investigators of intervention studies, collaborate closely with the research team, food service team, and other relevant stakeholders, as well as undertake other ad-hoc responsibilities assigned by the Centre’s Director as needed.

Main Duties and Responsibilities

The staff will hold a few key responsibilities, including

• Recruit and interview study participants for the intervention study
• Provide administrative leadership for the trial, ensuring compliance with regulatory, ethics and governance requirements
• Train research assistants/research associates for the conduct of the intervention studies
• Maintain accurate records related to trial administration, participant interactions, and regulatory documentation
• Any other ad-hoc duties as allocated by the Centre Director

Qualifications

1. Possess a Master's degree (in Science or technology allied to food, health or nutrition, or relevant areas)
2. Strong interpersonal and communication skills
3. Excellent organizational and time-management skills
4. Sound understanding of the research environment
5. Adherence to high standards of professional integrity and ethics
6. Preferably with at least 6 years of relevant working experience for clinical research
7. Independence and adaptability in a fast-paced work environment, adept at working under tight deadlines
8. Commitment to the ongoing development of a positive organizational culture
9. Willingness to continuously learn and stay updated on skills and evidence-based medical information
10. Proficient in Microsoft applications (e.g. Excel, Outlook, Word, Powerpoint), online meeting tools

Application

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

Excellent leave and medical benefits by the National University of Singapore.

First round of application review will start on November 20th , 2024. Position will be closed on December 24th, 2024. Only shortlisted candidates will be notified.

Applicants should email 1) a curriculum vitae; and 2) name and contact information of three references.

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

The National University of Singapore invites applications for a Research Fellow in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator (PI) and study team members to successfully deliver research outcomes pursued in several nationally funded projects:

Ischaemic stroke and cardiovascular diseases, focused on biomarker discovery and validation using preclinical vascular and animal models. A key focus of the work is to understand the reasons why strokes occur and how to identify high-risk individuals for more intensive interventions. This work leverages on a well-phenotyped repository of samples from stroke patients who have been meticulously characterized by whole-exome sequencing, RNA-seq and proteomics and outcomes collected in patients who were followed for more than 10 years.

Qualifications

The applicant should:

1. Have a good PhD degree in life sciences, biomedical sciences, biochemistry or bioengineering from a well-recognized university.
2. Experience with immunohistochemistry, molecular biology, microscopy techniques and computational analytical methods will be considered favorably.
3. Able to work independently and in a team, and must have good interpersonal and communication skills.
4. Possess good organizational skills for project planning, data analysis, manuscript preparation and grant applications.
5. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares.

Appointments will be made on a yearly contract basis with a good likelihood of extension.

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.

Overview

The Department of Computer Science at the National University of Singapore is seeking a Postdoctoral Research Fellow (RF) or Senior Research Fellow (SRF) specializing in the areas of multimedia forensics and digital trust enhancement. This project focuses on the development of advanced solutions for detecting forged images, ensuring audio-video consistency, and enhancing multimodal identity verification.

The project combines expertise in deep learning, multimedia analysis, and security to create systems capable of operating in real-world environments while addressing the challenges of digital impersonation and media manipulations. Candidates will be selected based on their research ability and previous experience in fields relevant to digital security and multimedia forensics. Applicants are expected to have a robust technical background acquired during their PhD studies.

The multimedia security group at NUS offers a dynamic and supportive research environment, ideal for individuals keen on contributing both theoretically and practically to the field of digital security.

Job Description

• Contribute to research initiatives by developing and validating algorithms for audio-video synchronization and identity verification.
• Supervise the integration of these technologies into a cohesive system to enhance multimedia content security.
• Publish findings in high-impact journals and present at international conferences

Qualifications

• Completed all requirements for a PhD degree.
• The candidate’s track record in publication, and strengths as an independent researcher are valued.
• Expertise in advanced signal processing techniques, computer vision algorithms, or AI-based synthetic media detection is strongly preferred. If the candidate has demonstrated experience in multimedia forensics, especially in detecting deepfakes or manipulated audio/video content, this will be considered favorable.
• Committed to full-time employment at NUS, Singapore.
• Preference to candidates with strong research background relevant for the project, determined via interviews.

How To Apply
If interested, please send your resume including a cover letter, CV, and a brief statement of your work undertaken in previous positions. The initial term of appointment will be 1 year, extensible to 1 more year upon review of satisfactory performance. Selected candidates will be offered competitive salaries and benefits.

NUS is a reputed world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked (within the top 15) among the computing departments of the world.

Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

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 Assistant in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Assistant will be responsible to, and work closely with, the Principal Investigator (PI) and his study team to successfully deliver research outcomes in the areas of ageing, stroke and cardiovascular diseases.

Familiarity and experience with molecular, cell biology, staining, advanced microscopy techniques, and computational analytical methods will be considered favorably.

Preference will be given to candidates who are able to analyse omics data and with familiarity with statistical softwares including SPSS or R.

Responsibilities also include the day to day management of laboratory operations such as procurement, preventive maintenance of equipment and laboratory safety.

Qualifications

The applicant should:

1. Have a good degree in life sciences, biomedical sciences, biochemistry, or equivalent from a well-recognized university, with a minimum of 2 years experience.
2. Able to work independently and in a team, and must have good interpersonal and communication skills
3. Possess good organizational skills
4. Have knowledge of common computer applications, e.g. MS office, PowerPoint, Excel, SPSS, “R”, Stata etc

Appointments will be made on a yearly contract basis with the possibility of extension.

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

Only shortlisted candidates will be notified.