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.

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills.

The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

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

Job Description:

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

Job Requirements:

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

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

Job Description

This is a full-time on-site role for a Research and Development Manager at Coval Technologies in Singapore. The Research and Development Manager will be responsible for leading R&D projects, managing research teams, and overseeing project execution. They will provide team leadership and contribute to the development of innovative nano coating technologies.

Qualifications

• A minimum of 10 years' experience with track record in formulating / developing new coating products with commercial release.
• Experience working with solvent-based paint chemistry
• Leadership abilities
• Experience in paint additive chemistry
• Project Management expertise
• Experience in industrial coating performance standards such as ISO, ASTM., etc.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to drive innovation and creativity in a team setting
• Experience in nanotechnology or surface coatings is a plus
• Advanced degree in Chemistry, Materials Science, or related field preferred

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint an exceptional candidate to the position of Postdoctoral Research Fellow to work on a major new project “Multifunctional and Adaptive Green-Grey Shorelines (MAGGShore)”. This interdisciplinary research aims to test strategies to enhance the ecological functioning of artificial shorelines.

The main responsibilities of the position include:

• Examine ecological processes on seawalls at multiple scales
• Identify suitable species and protocols for transplantation
• Develop and test new enhancement unit designs
• Coordinate with sister sub-projects
• Prepare research manuscripts, reports and presentations
• Mentor graduate and undergraduate students

Applicants should have completed a PhD in marine biology or ecology.They should have a history of publications consummate with their career stage. Research skills including leadership, excellent statistical and analytical skills, outstanding writing abilities, and the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with experience in hard intertidal systems, ecological engineering, and nature-based solutions will be given priority.

Qualifications

PhD in Marine Biology or Ecology

Skills:

• Experimental design and analysis (including expertise in R)
• Strong written and interpersonal communication skills
• Excellent time and resource management
• Certified and experienced scuba divers would be preferred

Experience:

• Ability to conduct experimental work in field, lab, and aquaria
• Experience working with intertidal invertebrates
• Familiarity with nature-based solutions/ecological engineering
• Publication record consummate with career stage

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Assist in administrative work to support the project
• Carry out intertidal and subtidal biodiversity surveys
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Qualifications

Applicants should have completed a Masters degree or equivalent in biology, marine biology, ecology, geography, environmental studies, or other similar discipline. We may also consider applicants with Segrees in Engineering, Architecture, or Landscape Design. The candidates should have a strong passion for marine-related research. Research skills including species identification, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Hold a bachelor’s and/or master’s degree in biology, marine biology, ecology, geography, environmental studies, or other similar discipline. We may also consider applicants with degrees in engineering, architecture, or landscape design.

Skills

• Experimental design and analysis (including expertise in R)
• Strong taxonomic and identification abilities
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience

• At least three years’ experience in a related field
• Ability to conduct experimental work in field, lab, and aquaria
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would be preferred

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor John S. Ascher on environmental modeling of mosquito vectors and stinging wasps and bees and other insects of importance for public and environmental health under the CNRS@CREATE, SPACE project.

The main responsibilities of the position include:

Working with the appointment PI to validate as fit for use an existing specimen and community science dataset of insects of importance for public and environmental health, especially mosquitoes and stinging wasps. The appointee will then conduct species distribution modeling based on an existing pipeline already established for bee research and documented in a publication. The candidate will start with highest priority mosquito species such as Aedes albopictus and other well known species of public health importance will move on to other species as time allows.

Qualifications

MSc or equivalent level qualification in Biological Sciences required.

Skills:

The candidate must be familiar with environmental modelling and SDMs using software such as R and MaxEnt. Preferably this includes ability to address spatial biases.

Experience:

Experience with entomology, specimen and other databases, and coding in R for environmental modelling desirable.

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

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.

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

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 Research Engineer will be involved in developing computer models for assessing climate change impacts on marine ecosystems. He/she will also be involved in collecting field data for calibrating and validating model systems. In addition to the above, the Research Engineer is expected to also participate actively in research meetings, present research findings, write reports and research papers.

Job Requirements

• Possess at least a good Bachelor’s degree in Civil and/or Environmental Engineering or equivalent.
• Experience in computational modelling in environmental engineering or climate change is preferred.
• Open to fixed term contract

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

• Robust perception, planning, and control for field robots
• Simultaneous localization and mapping
• Experimental robotics
• Novel mechanism synthesis and analysis
• Electromechanical system design experience is strongly preferred

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability .
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively communicate ideas and take constructive criticism
• Able to effectively work in a multi-disciplinary team and with third-party vendors

The position requires a B.Eng/M.Eng./M.Sc. in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

Job Description:

Be part of an exciting Team working on cutting-edge advanced packaging process technologies. Partner and work with various FAB users, to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to make sure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, and professional individual.
• Oversee the Team spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings, raise purchase requests accordingly.
• Take charge and provide day to day supports in all logistics needs and initiate material/spare parts procurement when required to ensure smooth Fab operations.
• Accountable for the inventory movements required to enable smooth lot operations across IME Premises.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time.
• Work seamlessly with various stakeholders to provide logistics support and deliver inventory on time.
• Work towards and employ critical thinking, put-up good initiatives to move forward to digitalization.
• Ability to work in a multi-task environment.

Experience:

• Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.
• At least 2 years of warehouse operations.
• Preferably some experience in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.

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.

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

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 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 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.

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.