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

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.

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.

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.

Responsibilities:

1. The primary role is to serve our salespersons or clients at the customer service counter or reception counter.

2. Process documents, collect commission (cash, cheque or online payments), sale of merchandise, use POS system, and handle office equipment (nets/credit card machines, copier machines, and computer terminals at the free seating area).

3. Data entry using our in-house systems (REMSPlus2, Admin module, e-submission) and using external systems (IRAS, HDB, CEA).

4. Manage walk-ins, emails, and telephone enquiries.

5. Frank mail and deposit at SingPost.

6. Collect and distribute mail.

7. Open and close the office, meeting rooms and training rooms.

8. Perform any other ad-hoc duties as and when assigned.

Requirements:

1. GCE ‘O’ Level and above.

2. Preferably someone who has work experience in customer service duties.

3. Excellent phone etiquette and possess good communication skills.

4. Ability to multitask and handle high volume of customers efficiently.

5. Computer literate in Microsoft Office.

6. Preference will be given to candidates who are available immediately or within short notice.

Benefits

· Friendly and Progressive Work Environment.

· Great Career Progression.

· Work from Home Leave

· Annual Leave up to 21 days

· Festive Leave

· Birthday Leave & Birthday Voucher

· Dress Code : Smart Casual

Other Information

· Working Location : Toa Payoh, (HDB Hub near Toa Payoh MRT Station)

· Five (5) day work week, Monday and Friday : 8.30am to 5.30pm, 9.00am to 6.00pm, 9.30am to 6.30pm (With 1 Hour Break)

Interested candidates are invited to submit a comprehensive resume, stating the current and expected salary, date of availability via APPLY NOW button.

We regret that only shortlisted applicants will be notified.

Responsibilities:

1. Checking completeness and accuracy of admission application.

2. Checking completeness and accuracy of renewal application.

3. Checking completeness and accuracy of exit application.

4. Submission of admission application to Council for Estate Agencies (CEA).

5. Data Entry.

6. Perform filing and general administrative tasks.

7. Telemarketing.

8. Assisting in any other ad hoc matters as and when assigned.

Requirements:

1. Diploma in Business Administrative or its equivalent.

2. Minimum three (3) years of administrative experience.

3. Knowledge on the procedures to process new applications with CEA will be advantageous.

4. Proficient in MS Excel/Word/PowerPoint.

5. Meticulous with numbers & attentive to details.

Benefits

· Conducive work environment

· Great Career Progression.

· Annual Leave up to 21 days, Additional 3 days’ Festive Leave.

· Dress Code: Smart Casual

· Medical & insurance benefit

· Overseas Staff Outing

· Birthday Voucher $50

Other Information

· Working Location : Toa Payoh, (HDB Hub near Toa Payoh MRT Station)

· 5-day work week, Mondays to Fridays : 9.00am to 6.00pm

Interested candidates are invited to submit a comprehensive resume, stating the current and expected salary and date of availability.

We regret that only shortlisted applicants will be notified.

Deployment:

Mondays to Thursdays: 7.00am to 4:15 pm, inclusive of 45 mins

lunch break

Fridays: 7.00am to 3:45pm, inclusive of 45 mins lunch break

Service not required on Saturdays, Sundays and gazetted public

holidays

Scope of Works:

Provide administrative support to the teachers

Administrative duties will generally include

1. Preparation and verification of documents

2. Maintaining and updating of detention records and data

3. Compilation of statistics

4. Filing and typing

5. Supervising and monitoring of detention classes and monitoring

of students on in-house suspension

Provide support to Operations Manager (OM) and AMs during school

holidays

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.

The Health, Safety and Environmental (HSE) Officer is responsible for identifying, assessing and advising on risks arising from the workplace or work processes, recommending measures to eliminate or minimise and control the risks and implementing the measures. He/She is also responsible for preventing or reducing health and environmental risks, and improving quality of processes.

Analytical and observant, he/she is required to identify risks and analytical to analyse risks. He/She is expected to supervise a quality, health, safety and environmental team and to work with internal and external stakeholders to accomplish his/her 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

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.

Responsibilities:

1. The primary role is to serve our salespersons or clients at the customer service counter or reception counter.

2. Process documents, collect commission (cash, cheque or online payments), sale of merchandise, use POS system, and handle office equipment (nets/credit card machines, copier machines, and computer terminals at the free seating area).

3. Data entry using our in-house systems (REMSPlus2, Admin module, e-submission) and using external systems (IRAS, HDB, CEA).

4. Manage walk-ins, emails, and telephone enquiries.

5. Frank mail and deposit at SingPost.

6. Collect and distribute mail.

7. Open and close the office, meeting rooms and training rooms.

8. Perform any other ad-hoc duties as and when assigned.

Requirements:

1. GCE ‘O’ Level and above.

2. Preferably someone who has work experience in customer service duties.

3. Excellent phone etiquette and possess good communication skills.

4. Ability to multitask and handle high volume of customers efficiently.

5. Computer literate in Microsoft Office.

6. Preference will be given to candidates who are available immediately or within short notice.

7. Need to be able to commit from 2 December 2024 to 30 April 2025.

Other Information

· Working Location : Toa Payoh, (HDB Hub near Toa Payoh MRT Station)

· Five (5) day work week, Monday and Friday : 8.30am to 5.30pm or 9.00am to 6.00pm. (With 1 Hour Break)

Interested candidates are invited to submit a comprehensive resume, stating the current and expected salary, date of availability via APPLY NOW button.

We regret that only shortlisted applicants 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 Fellow in the Centre for Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine. The centre aims to improve population health and well-being and healthcare delivery by accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The successful hire is expected to provide assistance to the BISI Faculty in i) delivering the research projects that the Centre’s research strategy has identified as key priorities, ii) contribute to the writing and applications for competitive grants, iii) leading/mentoring junior researchers within a collaborative research team, and iv) deliver some teaching in behavioural and implementation science in both undergraduate and post-graduate settings.

The role is primarily a research-orientated one, however the post-holder will be expected to contribute teaching in areas of their expertise within the Centre’s expanding teaching curriculum in behavioural and implementation sciences.

Main Duties and Responsibilities

This is a regular full-time position of which the contract is renewable, subject to performance.

The chosen candidate will:

• Work closely with the team leads, collaborators, cross-disciplinary research teams and support staff
• Design and undertake research and provide expertise across a variety of research-related activities

Research-Related

• Perform systematic reviews of available evidence
• Design, planning and execution of research projects with behavioural and implementation science components;
• Analysis and interpretation of research data (qualitative; quantitative or health economics);
• Writing of research reports, peer-reviewed publications and grant applications;
• Dissemination of research proposals and findings through presentations internally and externally at scientific meetings and conferences.

Education-Related

• Mentor junior research staff
• Deliver teaching in behavioural and implementation science in undergraduate and postgraduate settings.

Qualifications

The candidate should possess:

• A PhD in a relevant discipline

Research-Related

• Experience in undertaking or leading, as appropriate for career stage, independent research studies;
• Track record of publishing in peer-reviewed journals commensurate with career stage;
• Track record of publications/presentations in international or national scientific conferences.
• Experience in a variety of quantitative methods for study design, data management, analysis and reporting – including experience in epidemiology, biostatistics or health economics methods;
• Experience in research software (eg Stata, SPSS, nViVO, Treeage)
• Experience in contributing to research grant proposals will be advantageous

Education-Related

• Experience in delivering and facilitating courses, workshops and training;

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Huang Weilin 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

Duties and Responsibilities

(A) SPECIFIC (80%)

1. Conduct neuropsychological assessment and follow-up of patients and subjects for mood, anxiety, stress, resilience, personality traits, behaviour/habits, and emotional and social intelligence, ensuring standardised testing procedures are followed.
2. Collect, manage, and organise research data with attention to detail and data integrity.
3. Perform data analysis using statistical software (e.g. SPSS, R, Python) to identify trends and correlations related to cognitive impairment.
4. Assist in the preparation of research reports, manuscripts, and presentations for dissemination of study findings.
5. Maintain clear and accurate records of all research activities.
6. Collaborate effectively with a multidisciplinary team of researchers, clinicians, and data analysts.
7. Adhere to ethical guidelines and regulatory requirements for research involving human subjects.

​​​​(B) GENERAL (20%)

The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

(A) EDUCATION, TRAINING AND EXPERIENCE

1. BSc, BA, BA (Psych) or a related background. Final year students are welcome to apply.
2. Proficiency in data analysis and statistical software (e.g. SPSS, R, or Python).
3. Strong organisational skills and attention to detail.
4. Excellent communication skills, both written and verbal.

(B) LANGUAGE

Fluent in English and Mandarin (We are recruiting personnel to perform Chinese language cognitive assessment for a mandarin speaking elderly population).

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 Summary

Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is seeking a dedicated and skilled Research Fellow to lead research on the ectomycorrhizal fungi and associated microbial communities in Dipterocarpaceae tree species across urban and forested landscapes in Singapore. This position plays a key role in advancing knowledge on plant-microbe interactions, contributing to conservation and ecological health of Dipterocarpaceae trees.

Duties and Responsibilities

• Lead fieldwork initiatives for the survey and collection of soils associated with the ectomycorrhizal fungi and microbiome of Dipterocarpaceae tree species across diverse environments in Singapore.
• Conduct health assessments of surveyed Dipterocarp trees, gathering data to compare markers of healthy and unhealthy specimens.
• Coordinate with the National Parks Board (NParks) for site access and to ensure accurate sampling locations.
• Perform assays to quantify soil properties and nutrient content in collaboration with team members.
• Conduct untargeted metabolomics on soil samples to identify microbial and metabolite profiles.
• Work closely with interdisciplinary teams to drive research objectives and achieve project outcomes.

Qualification

• PhD in Plant Ecology, Environmental Science, or a related field.
• Proven field experience in sample collection and ecosystem surveys.
• Strong collaboration skills and the ability to work effectively within a multidisciplinary team.
• Excellent written and verbal communication 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 successful candidate will work with Prof Barbaros Oezyilmaz and Dr Toh Chee Tat on lab support, sample preparation and characterization under a project on Large area synthesis and applications of atomically thin amorphous materials.

The main responsibilities of the position include:

1. Direct growth of MAC on target substrates using a UV-based CVD approach.
2. Transfer of 2D material, layer-by-layer assembly of the all-carbon transistors and memristors
3. Electrical tests of the devices, exploration of the transfer curves of transistors with thin amorphous dielectrics
4. Characterization of MAC (e.g. optical, electrical, Raman spectroscopy, Atomic Force Microscope, Scanning Electron Microscope).
5. Device fabrication of test samples for potential applications.
6. Data analysis and physical interpretation of the results.
7. Manage lab safety, equipment maintenance and operations.
8. Meet key deliverables for industry collaboration.

Qualifications

• Qualifications / Discipline: Bachelor's or Master's degree in materials science, engineering, or a related field, with a focus on thin film deposition
• Skills: Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
2. Experience with electronics and the use of clean room is desirable

Role Overview

To assist in technical investigations in case of fault calls and regularly review the preventive and corrective maintenance activities for property in the aviation sector. He / She should be a competent problem solver on the ground, possessing strong technical knowledge in building and M&E maintenance and ability to liaise with service providers to ensure maintenance or repair works are carried out timely.

Role Responsibilities

• To review preventive and corrective maintenance works to ensure adherence to quality and safety standards and regulations
• To lead technical investigations in response to fault calls
• To review documentation on procedure and schedules of maintenance works
• To track inventory levels of spare parts, consumables and non-consumable items
• To prepare technical reports and / or monthly reports where required
• To conduct risk assessments in accordance to regulatory and organisational Workplace Safety and Health(WSH) policies and practices
• Responsible for initiating and tracking all purchase requisitions and closing of work orders, including thepreparation of costing for all proposed works to his supervisors for approval and liaison with client reps.
• Liaising with term and adhoc contractors for all appointed works and coordinating with relevantstakeholders for approval and work executions, including reporting work progress and completion.
• Reporting to the Engineer and appointed reporting supervisor for any adhoc work matters.

Role Overview

To assist in technical investigations in case of fault calls and regularly review the preventive and corrective maintenance activities for property in the aviation sector. He / She should be a competent problem solver on the ground, possessing strong technical knowledge in building and M&E maintenance and ability to liaise with service providers to ensure maintenance or repair works are carried out timely.

Role Responsibilities

To review preventive and corrective maintenance works to ensure adherence to quality and safety standards and regulations

To lead technical investigations in response to fault calls

To review documentation on procedure and schedules of maintenance works

To track inventory levels of spare parts, consumables and non-consumable items

To prepare technical reports and / or monthly reports where required

To conduct risk assessments in accordance to regulatory and organisational Workplace Safety and Health(WSH) policies and practices

Responsible for initiating and tracking all purchase requisitions and closing of work orders, including thepreparation of costing for all proposed works to his supervisors for approval and liaison with client reps.

Liaising with term and adhoc contractors for all appointed works and coordinating with relevantstakeholders for approval and work executions, including reporting work progress and completion.

Reporting to the Engineer and appointed reporting supervisor for any adhoc work matters.

Role Overview

• To assist in technical investigations in case of fault calls and regularly review the preventive and corrective maintenance activities for property in the aviation sector. He / She should be a competent problem solver on the ground, possessing strong technical knowledge in building and M&E maintenance and ability to liaise with service providers to ensure maintenance or repair works are carried out timely.

Role Responsibilities

• To review preventive and corrective maintenance works to ensure adherence to quality and safety standards and regulations
• To lead technical investigations in response to fault calls
• To review documentation on procedure and schedules of maintenance works
• To track inventory levels of spare parts, consumables and non-consumable items
• To prepare technical reports and / or monthly reports where required
• To conduct risk assessments in accordance to regulatory and organisational Workplace Safety and Health(WSH) policies and practices
• Responsible for initiating and tracking all purchase requisitions and closing of work orders, including thepreparation of costing for all proposed works to his supervisors for approval and liaison with client reps.
• Liaising with term and adhoc contractors for all appointed works and coordinating with relevantstakeholders for approval and work executions, including reporting work progress and completion.
• Reporting to the Engineer and appointed reporting supervisor for any adhoc work matters.

Cash Handling and Reconciliation: Receive and verify cash bags collected by couriers, ensuring quantities match Trust Receipts. Sort, pack, and seal cash bags for delivery to designated banks.
Issue and maintain manifests and Trust Receipts. Coordinate with couriers for bank deposits.
Manage cash float exchange, including packing, receiving, and banking.
Generate detailed reports on all cash transactions, including bags received and issued.
Maintain accurate records of float funds and conduct regular stock counts.

Inventory Management: Assist in issuing consumables to customers.
Record and track the quantity of consumables in and out of the vault.
Participate in periodic stocktaking of cash and consumables.

Security and Compliance: Adhere to strict security protocols and procedures to safeguard valuable assets. Maintain a secure and controlled environment within the vault. Ensure compliance with relevant regulations and internal policies.

Job Requirements:

• Previous experience in cash handling or a similar role preferred
• Strong attention to detail and accuracy
• Ability to work independently and as part of a team
• Excellent organizational and time management skills
• Strong numerical skills and basic computer literacy
• Ability to work in a secure environment with strict adherence to procedures
• Valid identification and clean background check
• Experience with vault management systems and security protocols
• Knowledge of relevant regulations and compliance standards

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 successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops