Job Description:

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

This position is based in Singapore.

Responsibilities:

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

Experience:

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Visiting Associate Professor will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the trial on time. Timely input on projects related to design and implementation of interventions focused on learning and school readiness.

Main duties and responsibilities

Oversee the general management of the project;

1. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
2. Assist with any other duties assigned by the Department.

Qualifications

The applicant should:

• Have a PhD in Education or related disciplines; preferably with experience in research;
• be able to work independently and in a team, have an investigative nature, attention to detail; and
• have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint.

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

Duties & Responsibilities

• Manage assigned projects on NUS campuses (planning, design development, procurement, contracts administration, site supervision, liaison with various stakeholders, testing and commissioning, management of project account and defect liability issues.)
• Ensure that projects complete within schedule and approved budget and is properly handed back to the NUS user and over to the maintenance team at Asset Enhancement section, CAM.
• Work closely with the consultants and ensure that projects comply with NUS's policies and guidelines.
• Provide progress updates on assigned projects for routine/ ad-hoc management reporting.
• Assist in any other duties as assigned.

Qualifications

• A good bachelor’s degree or master’s Degree from a recognized University, preferably in area of Architecture/ Engineering/Construction Management/ Quantity Surveyor, and registrable with the Board of Architectures (BOA) Singapore; Professional Engineers Board (PEB) Singapore and/or Singapore Institute of Surveyor and Valuers respectively.
• Minimum of 8 years of relevant working experience in construction project coordination, design management, contract administration, project management and defects management.
• Experience in consultancy services will also be considered.
• Experience in handling new building development or Addition & Alteration (A&A) projects.
• Knowledge in local regulations; working knowledge of the authorities’ submission requirements.
• Resourceful with excellent communication skills
• A team player with a positive attitude and drive.

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 Assistant 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 one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Assistant will work closely with the IHDP’s Biobank Team. The RA’s principal role will be to work in general practices of biosample transporting, processing, storage, data entry and other tasks as assigned by Reporting Officer,

Main Duties and Responsibilities

The Research Assistant/Research Associate will:

1. Process a wide range of biosamples that includes but not limited to blood and stool.
2. Provide and maintain accurate laboratory record and data
3. Adhere to all laboratory safety and procedures in accordance with the laboratory SOPs.
4. Maintain the highest standard of professional conduct and record keeping in accordance with SOPs
5. Perform laboratory housekeeping as assigned
6. Must be work at 3 sites as rostered
7. Must be able to work on weekends
8. Perform other duties as assigned by Reporting Officer

Qualifications

The applicant should:

1. have a bachelor’s degree in biomedical science, Life science or related discipline.
2. Must have laboratory experience and competent in pipetting
3. Able to work in a fast-paced environment
4. Able to work independently and in a collaborative manner with interdisciplinary team
5. Effective verbal and written communication skills
6. Strong desire to learn continuously

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

Only shortlisted candidates will be notified.

Interested parties may apply on NUS Career portal and please contact Ms H’ng, [email protected] should there be any queries pertaining to the position.

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, and a focus is on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

• Perform data management including data cleaning, quality and consistency checks,and preparation of codebooks.
• Workwith other researchers on interpreting and analysing quantitative data.
• Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
• Conduct follow-up assessments of study participants over the phone.
• Support other project management tasks.
• Assist with other initiatives at CARE where required.

Job Requirements

• Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology,Social Work, or other related disciplines.
• Prior work experience in quantitative data analysis will be advantageous.
• Possess strong communication and interpersonal skills.
• Able to take initiatives to learn on the job and manage assigned tasks.
• Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.
• Candidates with relevant work experience may be considered for a Research Assistant(Senior) position.

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

An exciting opportunity has arisen for a highly motivated Senior Research Fellow/Research Fellow to join the Centre for Holistic Initiatives (CHILD) for Learning and Development, Yong Loo Lin School of Medicine, National University of Singapore. CHILD brings together experts in the field of translational research, child health and development, and implementation science to accelerate the use of evidence in policy and practice and give every child the best start in life.

The successful candidate will support the Centre by i) conducting research projects aligned to the Centre’s strategy and key priorities, ii) preparing reports, publications and materials for funding bids, iii) providing supervision and mentorship to junior researchers, particularly in the area of mixed methods research, and iv) facilitating workshops and engagement activities.

Job Responsibilities

The successful candidate will:

• Work closely with the team leads, cross-disciplinary research teams and collaborators.
• Design, plan, undertake and deliver research and evaluation projects using both quantitative and qualitative designs.
• Provide expert methodological and statistical advice to Centre staff across Centre projects.
• Provide advanced statistical analyses and data visualizations using R, Python, or STATA for presentation of important findings in policy briefings and peer-reviewed publications
• Lead writing for reports, peer-reviewed publications, and grant proposals
• Contribute and lead, where appropriate, research dissemination activities at internal and external meetings and conferences.
• Provide supervision and mentorship of research students, assistants, and interns
• Work closely with stakeholders from across the early childhood sector.
• Carry out administrative duties as needed
• Any other duties as assigned by the supervisor

Qualifications

A PhD in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or a related discipline.

Experience: Candidates with experience in the following areas are encouraged to apply:

• Mixed methods applied research
• Multivariate statistical analyses and meta-analysis techniques using R, Python, or STATA
• Behavioural or Social Sciences applied to child health/development
• Implementation Science
• Programme Evaluation
• Education/Health Services or Applied Research

Skills

The candidate should also possess:

• Experience undertaking or leading independent research studies, as appropriate for career stage
• A strong grounding in mixed methods and applied educational, behavioural or health research – broadly defined
• Outstanding data analysis and visualization background
• Ability to search, summarize, and synthesize previous research in areas of interest to CHILD
• Strong project management and coordination skills, with attention to detail and critical thinking abilities
• Track record of publishing in peer-reviewed journals and presentations in international or national scientific conferences, commensurate with career stage
• Excellent command of spoken and written English with excellent communication skills to present findings to English-speaking stakeholders
• A team player with an ability to work independently
• Highly motivated, proactive, and goal-oriented
• Keen interest in the area of early child development and passion for research translation and communication

Application

Please submit your application, supported by:

• a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations)
• a cover letter introducing yourself, career goals and earliest start date as well as your suitability and interest in the position
• a writing sample that reflects your analytic skills and communication abilities.
• full contacts of three (3) referees to this job portal

The appointment title and salary grade commensurate with the candidate qualifications and experience. Interested applicants are invited to submit via the NUS career portal. Applicants can email [email protected] with any questions. Only shortlisted candidates will be contacted.

About CHILD

What Being Successful in the Role Looks Like The successful candidate will work closely, collaboratively, and competently as part of an interdisciplinary team within CHILD. They will have excellent writing, presentation, and project management skills. They can perform data analysis/data visualization, willingly learn from and share knowledge with others. He/she fits into, supports, and builds CHILD’s open and positive work culture.

About CHILD: The Centre for Holistic Initiatives for Learning and Development or CHILD was established under the umbrella of the NUS Yong Loo Lin School of Medicine (NUS Medicine) with the Lien Foundation. In collaboration with partners - the Centre for Evidence and Implementation (CEI) and A*STAR’s Institute for Human Development and Potential (A*STAR IHDP), CHILD brings together experts in the field of translational research, child development, and implementation science to help give children the best start to life.

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 position is available NUS Yong Loo Lin School of Medicine, National University of Singapore. The job entails work in a laboratory, clinical and involves administrative duties.

Major Duties and Responsibilities:

1. Contribute to DSRB/IRB application process, support ethics and regulatory related administrative work including DSRB/IRB and HSA applications
2. Coordinate training requirements and documentation
3. Ensure study file set up, documentation and maintenance, including investigator files and logs
4. Conduct subject pre-screening, assist with informed consent, adverse event reporting, and follow-up activities with regulatory bodies
5. Coordinate subject visits and manage study execution, including collection of study questionnaires, measurement of physiology parameters, and collection of non-invasive images
6. Maintain study database.
7. Monitor studies ensuring compliance with institutional guidelines, HBRA, and GCP.
8. Assist with study closure including archiving of study records (medical records, study documents, investigator files, subject files etc.), post-study audits/ inspections and monitoring.
9. Participate and present updates in study related meetings.
10. Take minutes of meetings for vetting.
11. Generate study progress reports as required.

Roles and Responsibilities

• Assist with participant recruitment for research studies, including consent taking, filing and ensuring studies are conducted in compliance with necessary regulatory guidelines
• Purchasing products and services where necessary, including preparing recommendation reports, track orders and ensure timely delivery, and keeping records of purchases.
• Assist overall day-to-day administrative activities for Research Programme
• Assist Admin Lead with CVD TRP website maintenance and update.
• Assist to prepare and edit reports, presentations and other documents.
• Assist Admin Lead with secretariat functions to arrange and coordinate Programme’s events or meetings, including creating and distribution of meeting minutes, preparing facilities for scheduled meetings and arranging refreshments, if required.

Qualifications

• Bachelor in a related discipline in the Biomedical/Life Sciences with a minimum 1 year of experience
• GCP-trained and familiar with the regulatory landscape in Singapore
• Some experience working in/with a clinical research or healthcare industry
• Sound written and verbal communications skills
• Possess maturity and good interpersonal skills
• Independent and good team player
• Self-driven, meticulous, and organized and strong organisational skills
• Relevant experience with managing large projects, lead facilitation of group meetings and managing budgets will be an advantage
• Good proficiency in MS Office applications such as PowerPoint, Excel
• Have a strong interest to interact with a wide variety of people

JOB DESCRIPTION

• Responsibilities: mouse colony management, genotyping, mouse surgery, immunostaining, tissue sectioning and staining, and other technical support requested by lab members
• Provide technical support for research

JOB REQUIREMENT

• Bachelor in Biological Science and Life Science disciplines or equivalent
• Experience with animal work will be valued
• Excellent organizational and interpersonal skills
• Highly motivated, passion for science, committed to laboratory work and able to work flexible hours
• Ability to multitask, work independently and also as part of a team
  Excellent communication (verbal and written) and presentation 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

Position Overview:

We are seeking a highly motivated Embedded System Engineer to join our team as a Research Engineer. The successful candidate will be responsible for selecting, programming, testing micro-controllers, and building corresponding circuitry and PCB for our cutting-edge research projects. This role offers an exciting opportunity to contribute to groundbreaking research in flexible electronics.

Key Responsibilities:

• Program micro-controller for realizing target functions.
• Design circuitry and PCB for corresponding micro-controller.
• Help with requirement analyse and micro-controller chip selection.
• Document design processes, results, and findings for academic publication.
• Stay updated on emerging trends and technologies in flexible electronics and related fields.

Qualifications

Qualifications:

• Master C/C++, have proficient embedded development and MCU development capabilities, and good programming habits.
• Familiar with communication ports, including UART, SPI, IIC and GPIO.
• Able to read hardware schematics, capable for driver writing and optimization, and familiar with Renesas, Nordic and STM32’s commonly used chips;
• Familiar with BLE working principle and commonly used BLE chips.
• Familiar with micro-controller developing tools (e.g. Keil, IAR)
• Experience with PCB design and proficiency in PCB design tools (e.g. Altium Designer)
• Bachelor's or Master's degree in Electrical and Computer Engineering, Electronics Engineering, Mechatronic Engineering, automation, or related field.
• Solid digital and analogue circuit knowledge foundation.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration abilities.

Preferred Qualifications:

• Expertise in MATLAB or Python for upper computer software development.
• Familiarity with biomedical signal processing or wearable electronics.
• Prior research experience in an academic or industrial setting.
• Additional expertise in wireless electronics design

Benefits:

• Competitive salary based on qualifications and experience.
• Opportunities for professional development and growth.
• Collaborative and innovative work environment.
• Access to state-of-the-art research facilities and resources.
• Potential for authorship on research publications, patents and presentations.

Job Description

The SingHealth Duke-NUS Academic Medical Centre (AMC) draws on the collective strengths of SingHealth and Duke-NUS Medical School (Duke-NUS) to drive the transformation of healthcare and provide affordable, accessible and quality care to patients.

The Centre for Clinician-Scientist+ Development (CCS+D) supports the research pillar of academic medicine in SingHealth Duke-NUS AMC by nurturing aspiring and talented clinicians with passion and interest in research, including clinician scientists, clinician investigators and clinician innovators. The Centre provides support at the developmental stage of their research career, through personalised consultations and structured training geared towards improving research and leadership skills.

CCS+D is inviting applications from experienced faculty experts and medical researchers who can nurture SingHealth clinicians with passion and interests in research and innovation. The responsibilities will include but not limited to the following: -

• Provide grantsmanship advisory & consultations with clinicians to improve their chances of success in obtaining research grant funding. General discussions with clinicians would involve their research themes, research hypothesis formulation, types of grant funding targeted and strategies to achieve their research/innovation career goals.
• Detailed grantsmanship guidance for clinicians’ grant applications which include the following aspects:

1. Evaluating the importance of the research questions
2. Evaluating the feasibility of the study designs and research plans
3. Improving the storytelling and organization of writing to ensure well-flowing content
4. Training clinician researchers in presentation skills
5. Providing advice regarding research methodologies and statistical analysis plans
6. Supervising rebuttals to grant reviewers’ comments
7. Supervising interview preparation including mock interviews

• Provide individualised research career advisory to aspiring clinician-researchers in collaboration with the Centre’s Director and principal lead faculty members.
• Serve as a speaker at research workshops or seminars organised by the Centre
• Be part of the internal grant review committee to assess the suitability of pilot research studies for funding.
• Teaching research methodologies to clinicians and medical students. Although this is not a primary role of this position, teaching tasks may be required from time to time.

Job Requirements

• Recognised medical or PhD Degree.
• Has excellent track record of research accomplishments - demonstrated by having a high number of publications, multiple national grants achieved and experience serving on national grant review panels.
• Dedicated in nurturing aspiring clinicians for promoting academic medicine and research.
• Self-motivated and proactive in guiding and supervising clinicians to frame competitive translational and clinical research, to forge the pathways from bench discoveries to bedside applications. (Note: Developing independent research work is not a requirement for this role)
• Able to work with clinicians across different disciplines on research proposal writing for research topics based on general medical knowledge but not specific expertise.
• Possess strong logical and analytical thinking abilities as well as verbal communications and interpersonal skills with excellent scientific writing and presentation style.
• Strong attention to details and able to write succinctly and logically.
• Able to adapt and thrive in a constantly evolving work environment.

** This is a full-time position based at Duke-NUS Medical School in Singapore.

We regret that only shortlisted candidates will be notified.

Job Duties

• Ensuring a high level of quality in the services and deliverables provided by the company
• Involved in the quality assurance and service level agreement of maintenance projects
• Actively assisting maintenance customers to monitor issues, changes, and handle queries they have
• Work with the technical team to ensure that all fixes for maintenance projects are delivered on time
• Manage and ensure timely delivery of projects
• Liaising with clients to discuss and identify their project requirements
• Evaluate and resolve any discrepancies and problems that arises during project delivery
• Actively engaging customers to find out their level of satisfaction with the services provided
• Initiate processes to improve the service level provided by the company
• Analyze, remove, and proactively prevent roadblocks across team to meet quality standards, project milestones, and business objectives
• Ensure project output consistently meets requirements and standards
• Outstanding candidates will be groomed and trained for management role, to lead a team in the future

Qualifications and Skills

• Minimum Degree in Information Technology, Computer Science or equivalent.
• Preferably at least 1 year of experience in IT Software or related field.
• Certifications in Project Management are advantageous.
• Working knowledge in MS Office, Project Management and Visio.
• Able to handle multiple tasks/projects simultaneously.
• Customer-oriented person with excellent communication skills, both written and verbal.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

AI Singapore (AISG) seeking a highly organized and detail-oriented individual to join our team as a Research Fellow. The Research Fellow will collaborate with researchers, faculty, and external stakeholders to facilitate the research, evaluation and deployment processes involved in research projects.

Duties & Responsibilities

In this role, you will:

• Participate in the full research projects to deployment pipeline and help conceptualize, develop research or evaluation experiments, and then implement the systems to execute these experiments.
• Conduct data annotation, collection, and analysis for research projects.
• Conduct landscape and literature reviews to understand the potential solutions and the state-of-the-art models.
• Manage research projects with minimal supervision, develop new research methodologies and contribute to innovative approaches, design and execute experiments or studies to advance knowledge in a specific field.
• Work closely with Principal Investigators and researchers for benchmarking various baseline models.
• Contribute to disseminate research outcomes through presentations, demonstrations and top conference papers.

Qualifications

• A PhD degree in Computer Science/Computer Engineering, or related disciplines
• Possess strong background in Computer Vision (CV) and Artificial Intelligence (AI); Research background in Large Multimodal Models (LMMs) / LLM security is a plus
• Excellent knowledge in deep learning frameworks, e.g., PyTorch, Tensorflow
• Strong first-author publication records in top-tier AI conferences; Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus
• Good communications skills in both written and verbal English
• An adventurous spirit and willingness to learn and experiment with new ideas and new domains
• Demonstrated ability to work independently as well as collaboratively in a team 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

The Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to thermal management of flexible electronics. You will play a key role in designing and fabricating flexible electronic devices, with a specific focus on solving challenges related to overheating and heat dissipation.

Responsibilities:

• Design and fabricate integrated thermal management system for flexible electronics devices, including RF devices.
• Conduct thermal simulations to identify potential thermal issues and optimize the heat dissipation capabilities of the devices.
• Develop and implement innovative thermal management materials, structures, and approaches to address overheating challenges in flexible electronics.
• Explore and evaluate new materials for efficient heat transfer, storage, and dissipation in flexible electronic devices.
• Collaborate with interdisciplinary team members to integrate thermal management solutions into the overall device design and fabrication process.
• Perform experimental characterization of thermal properties and performance of flexible electronic devices using appropriate measurement techniques and equipment, including IR thermal imaging and thermal reflectance system.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

To apply, please submit your application materials, including a cover letter and curriculum vitae.

Review of applications will begin immediately and continue until the position is filled.

Qualifications

Candidate should meet at least 4 criteria from the following list:

• Bachelor’s or Master’s Degree in Electrical Engineering, Chemistry, Materials Science, or a related field with a focus on flexible electronics and thermal management.
• Strong background in thermal management of electronic devices.
• Proficiency in thermal simulation software for analyzing and optimizing thermal performance.
• Knowledge of thermal management techniques and strategies for flexible electronics, including heat dissipation mechanisms and materials.
• Experience in developing and characterizing novel materials for heat transfer, storage, and dissipation in electronic devices.
• Familiarity with experimental techniques for thermal characterization, such as thermal imaging and thermal reflectance.
• Strong problem-solving skills and ability to think critically about thermal management challenges in flexible electronics.
• Excellent written and verbal communication skills, with the ability to present research findings effectively.
• Track record of research publications in reputable scientific journals.

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 (NUS) invites applications for the role of Research Assistant/Research Associate with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at the NUS, to spearhead and conduct research and development to better enable the future challenges arising from rising ambient heat. Appointments will be made on a two-year contract basis, with the possibility of extension.

The Research Assistant/Associate who will play a key role in assisting in the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique opportunity to not only develop your expertise in research planning and execution, but also to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat. There are also opportunities to pursue a part-time PhD with HRPC.

Main Duties and Responsibilities

The main areas of responsibilities of the role will include but not limited to the following:

• Working with research PIs and teams to develop new research ideas
• Performing literature searches, assimilating, and summarizing key information, as well as identifying knowledge gaps
• Designing and conducting relevant studies and surveys (qualitative and quantitative, including lab and outfield studies)
• Establishing and managing large databases
• Interpreting and analysis of data
• Generating reports and present data to relevant stakeholders
• Contributing to conference presentations and write papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once

Qualifications

A minimum qualification of a Bachelor’s degree in Exercise Science, Physiology, or equivalent. Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office, data management and online meeting tools) would be required as well.

In addition, the role will require the following job relevant experience or attributes:

• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Two or more years of research work experience would be an advantage
• Proven knowledge of data collection methods
• Good written and verbal communication skills
• Good presentation skills and ability to write research reports for publication in reputable journals

Additional Skills

• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and outside routine hours for data collection and undertake further training in relevant data collection procedures
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment

Application

The role is based in Singapore.

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 National University of Singapore invites applications for Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber 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.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Associate (Computational and Laboratory Biology) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in both mathematical/machine learning methods and biological laboratory techniques. He or she will also be responsible for data analysis and for developing computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of statistical and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline. Industry experience in biotech or pharma would be an advantage.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Process and extract biological samples (tissue and clinical origin) for -omics analysis;
2. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. genomics, transcriptomics, proteomics);
3. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
4. Develop and maintain databases and data pipelines for biological data;
5. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
6. Communicate research findings through publications, presentations, and reports;
7. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

1. Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
2. Hands-on experience and skills in standard biological laboratory techniques;
3. Strong programming skills in relevant languages such as R and/or Python;
4. Experience with biological data analysis and interpretation;
5. Knowledge of biological systems and processes;
6. Excellent communication and collaboration skills;
7. Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber 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.

JOB DESCRIPTION

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 5 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication 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

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 2 - 3 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication 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.

Associate Financial Analyst (Process Solution)

12-month contract

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

About This Role:

You will support and work hand in hand with the Financial Planning and Analysis team for the Southeast Asia region under the guidance of the Commercial controller. The Financial Planning & Analysis (FP&A) organization plays an important role as trusted business partners to businesses, supporting all analysis, reporting, and business planning needs. The team produce budgets, forecasts; create and analyze business metrics and identify cost savings opportunities; deliver economic insight into the relationships between costs and revenues to improve the financial success of the business going forward.

Key Responsibilities:

• Assist in handling day to day deliverables, weekly sales landing, monthly analysis & periodic forecasts exercises
• Assist in downloading, collecting, compiling, verifying information to provide controller with accurate and timely information for decision-making.
• Work with Client’s Business Services team to ensure accurate month end closing and follow up on clarifications.
• Drive & manage Capital expenditure (CapEx) reporting processes as well as collaborate with relevant teams for APAC CapEx projects.
• Any other ad hoc duties as required by APAC commercial controlling team

Requirement:

• Diploma or bachelor’s degree in finance or accounting or related fields
• Proficient in the use of MS Excel (Vlookup, Pivot) and MS Power-point.
• Understanding of management accounting with strong understanding of financial statements (P&L, Cash Flow, and Balance Sheet).
• A self-starter, curious, forward thinking and innovative.
• Possess strong, logical, and analytical thinking skills with attention to detail and accuracy.
• Hands-on team player who possesses a can-do attitude and is able to handle ambiguity.
• Good interpersonal skills with the ability to communicate effectively across all levels and build good working relationships.

Reg No: R22104540

EA License no: 94C3609

DesCartes Program (work package 9) is looking for research assistant in UI/UX design and library development. The objective is to develop a user interface and implement libraries as required for the DesCartes Builder, a novel open-source framework for designing, validating, and integrating innovative hybrid AI models and methodologies.

DESCARTES PROGRAM

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

DESCRIPTION

To facilitate the development of the next generation of urban systems, the DesCartes Program is currently developing a software framework that brings together AI components, physics models and data, modelization and control aspects. This framework, the DesCartes Builder, shall play an integral role in developing robust hybrid AI pipelines, as required for the design and deployment of digital twins of urban applications. As a research assistant, you will play a key role in developing the Builder:

• Craft a user-friendly interface:Design an intuitive interface that allows users to define, manipulate and execute the hybrid AI pipelines with flexibility and ease.
• Develop reusable components: Create robust and reusable libraries that will form the foundation of the DesCartes Builder framework.

EXPERIENCE & QUALIFICATIONS

• Minimum Requirements Bachelor or Master in computer science or engineering.
  A first relevant professional experience (master, internships…).
• Required Skills: Rigor, ability to work with autonomy and with a results-oriented mindset.
  Good interpersonal and communication skill; teamwork.
  Knowledge of Python and basics of machine learning
  Basics of UI/UX design
• Preferred Skills: Strong software engineering skills and development methodologies
  Experience with UI/UX design and UI libraries such as Qt,
  Knowledge of C++ & software optimization,
  Experience with Linux development environment (bash, make, etc.),
  Familiarity with machine learning and deep learning libraries (PyTorch, scikit-learn, etc.).
• Keywords: software engineering
  user interface
  library development
  human computer interface
  machine learning
  artificial intelligence

FURTHER INFORMATION & CONTACT

Gross Monthly Salary Range (SGD): 5,500 to 8,000 (depending on suitability and experience).

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.

Interested applicants, please send your application to:

• Blaise Genest (Prof): [email protected]
• Eduardo de Conto: [email protected]
• DesCartes – Hiring: [email protected]

Please send your application as a single PDF file including CV, cover letter and name/contact (including email addresses) of two referees.

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.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a master’s degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

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

STATEMENT OF PURPOSE

The Memory Aging & Cognition Centre (MACC) is a Research Center within the National University Health System funded by the Singapore National Medical Research Council that focuses on the study of dementia and cognitive impairment in the elderly. The MACC currently has 4 research themes on (i) neurochemistry, molecular pathology and biomarker discovery, (ii) neuroimaging, (iii) clinical assessment and (iv) epidemiology.

We are seeking a highly motivated Research Assistant to join our team at the MACC. The successful candidate will play a pivotal role in the daily operations and maintenance of the laboratory, as well as the handling of samples obtained from human or animal studies. The successful candidate will also have opportunities to work on various laboratory testing/techniques and contribute to the team's research effort in neurochemistry and blood biomarkers of Alzheimer's disease and vascular cognitive impairment.

Duties and Responsibilities

1. Handle samples obtained from human (blood, plasma, serum, post-mortem brain tissues) or animal studies, including the proper processing, documentation, tracking, storage and retrieval of samples.
2. Ensure compliance with laboratory safety protocols and regulatory requirements.
3. Manage and coordinate daily operations and maintenance of the laboratory, including administrative duties.
4. Support the PI and Research Fellows in experimental procedures related to neurochemistry and blood-based biomarkers research.
5. Assist the PI and Research Fellows in supervising and training students and junior researchers.

Qualifications

1. Bachelor's degree in Biomedical or Life Sciences.
2. Meticulous, attention to details, able to work independently, strong organization and documentation skills.
3. Previous work experience in the following area(s) is advantageous:

• Handling human and/or animal specimens as well as biobanking
• Neurochemistry laboratories, biomarker-related laboratories, pharmaceutical laboratories and/or research animal laboratorie

4. Knowledge of lab safety regulations/guidelines is desirable.

The candidate should possess the ability to work independently (with training) in a highly collaborative and international research environment, and be able to demonstrate initiative, technical independence and excellent communication skills. The successful candidate will be expected to be self-motivated in neurochemistry and biomarker research projects within the MACC under the supervision of the MACC Director, PIs and Research Fellows, as well as collaborators in NUHS and Duke-NUS.

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

The primary responsibility of this role is to deliver on an industry-partnered Ignition research project where you will be part of a collaborative team exploring innovative ways of characterizing the physical and rheological properties of liquid personal care products and understanding the impact of these properties in product design and process development.

Key Responsibilities

• In this role, you will perform shear and extensional rheological characterization of a large variety of liquid personal care products including lotions, topical oils, and more. We will explore innovative and emerging methods of rheological characterization and analyzing rheological data to extract material parameters to build a database of materials. Working with our industrial partner we will establish an understanding of rheological properties that are useful for product formulation and process design related to lab and larger scale extrusion/dispensing applications.More specific responsibilities include:
  • Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
  • Undertake development of rheological protocols and characterization of liquid personal care products
  • Formulate model materials with various additives to understand their impact on product rheology
  • Design, execute, and interpret experiments independently and with support from the PI.
  • Prepare and deliver written articles, reports, and presentations for industrial partners and external audiences.
  • Attend and present at regular group meetings to receive feedback on work done and future plans
  • Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
  • Coordinate procurement and liaison with vendors/suppliers.
  • Work independently, as well as within a team.

Job Requirements

• Have relevant competence in the areas of rheological characterization and analysis, wet lab work, material formulation
• Have a degree in pharmaceutical engineering, chemical engineering, mechanical engineering, food or materials science/engineering, or a related field. Possessing a Master’s degree will be advantageous.
• Knowledge of any of the following will be advantageous: material dispensing/extrusion processing, material science, textural and sensory analysis

Key Competencies

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should have 2-3 years of experiences in doing research.