Total 3,569 research nurse job vacancies in Education / Training category in Singapore

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Nanyang Environment and Water Research Institute, NTU is looking for a Research Fellow with expertise in chemical reactors to develop an improved prototype for a thermocatalytic process.

The project is funded by National Environment Agency, Singapore to address one of the largest problems in waste management – the problem of plastic waste pollution. A significant fraction of plastic waste has substandard quality for mechanical and chemical recycling even after sorting and cleaning. The Research Fellow will work on the design, fabrication and testing of a chemical reactor system that will use pyrolysis-chemical vapor deposition (CVD) technology for converting these plastic waste streams (specifically, contaminated and rejected plastics) into multi-walled carbon nanotubes (MWCNTs) and hydrogen. The role of Research Fellow is to design a system prototype that can effectively mitigate the impact of impurities from diverse plastic waste streams on production outputs and can be operated in a continuous mode.

Key Responsibilities:

The candidate will be undertaking full research work and administrative duties during the term of employment within the following areas:

• Experimental work on plastic waste conversion into carbon nanotubes and hydrogen.
• Design, procurement, installation and operation of the prototype system;
• Investigation of system performance and determining factors that influence the yield and quality of outputs;
• Development of improvements in system design to mitigate the factors decreasing quality and yield of outputs;
• Development of a continuous process;
• Liaising with vendors regarding the feasibility of scale up and conducting a cost-benefit analysis.
• Publishing research papers and documenting developed intellectual property.
• Reporting the progress to stakeholders (internal and external).

Job Requirements:

• Ph.D. degree in a field relevant to chemical reactor engineering (e.g., Chemical Engineering, Thermal Engineering, Mechanical Engineering, Process Engineering or other).
• PhD thesis or postdoctoral experience related to chemical reactor engineering for at least one of the following areas: (a) catalytic reactors, (b) continuous reactors.
• First-author publications in the areas mentioned above.
• High proficiency in English (e.g., TOELF, IELTS, GRE) for preparation of research papers.
• Ability to prepare well-written technical reports and research papers.
• Ability to prepare decent quality presentation decks, figures and illustrations.
• Ability to build formal and informal partnerships and work collaboratively with others to meet shared objectives.
• Ability to consistently achieve results, even under challenging circumstances.

We regret to inform that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on analyzing and improving the quality of the LLM generated code. Successful candidate will be part of an active research team led by Prof Sun Jun from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Survey existing approaches on evaluating and improving the quality of LLM generated code
• Evaluate the quality of LLM generated code objectively using multiple metrics, particularly regarding soundness
• Propose approaches for improving the code generation based on consistency
• Implement the proposed approach and experiment it with state-of-the-art LLMs
• Evaluate the effectiveness of the proposed approach and write a paper

• PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 4 years of relevant research experience in program analysis
• Basic knowledge/Proficiency in programming software/languages such as Python and Java will be positively considered/ is required
• Demonstrated experience and know-how on LLMs
• Experience with at least one programming software/language, such as Python is preferred
• Excellent working knowledge of AI and Machine Learning
• Good analytical, technical and problem-solving skills
• Applicants with research publications in the area of formal methods, software engineering, cyber-security and LLM area will be advantageous
• Self-motivated individuals who can work independently and collaboratively with team members

#LI-JN2

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

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 NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

Responsibilities

• Conduct research within assigned area of fixed income market coverage using information sources, including financial statements, earnings reports, published research, financial databases, corporate and management access
• Generate timely, and actionable bond investment ideas. Work with other members of the research team to evaluate a comprehensive range of bonds and bond funds
• Achieve and maintain a coverage list of bond issuers, and provide periodic research recommendations for bonds in the coverage list and newly issued bonds
• Communicate these investment ideas to the investing public and internal stakeholders through research reports, presentations, and other channels
• Contribute investment views and research in collaboration with the regional offices
• Contribute to the growth of the firm's fixed income business
• Undertake additional/ ad-hoc duties and projects assigned

Requirements

• Bachelor degree holder in a related discipline (accountancy, economic, finance or business administration), preferably with investment research experience
• Experience working with systems such as Bloomberg is desirable
• Good understanding of financial statements, bond mathematics, and macro drivers
• Demonstrated strong analytical skills, numerical capability, and attention to detail
• Excellent communication skills. Strong command of both spoken and written English. Mandarin speaking capability is a plus
• Demonstrated interest in and passion for investing
• Able to multi-task and meet constant deadlines

We have several available postdoctoral and research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references. Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. Only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop and implement the data and model interface for the AI/Data Twin platform with IoT or BMS systems.
• Debug and deploy the AI/Data Twin platform in on-site or cloud environments.
• Collaborate with the team to develop automation tools to optimize integration and deployment processes.
• Regularly maintain deployed platforms and perform data analysis.
• Prepare system delivery documents and maintenance reports.
• Quickly identify issues and develop solutions.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Automation, or a related field.
• 2-3 years of experience in DevOps and IT systems maintenance (Linux).
• Proficient in operating systems, Docker, and Kubernetes.
• Skilled in Shell programming and fundamental Python programming.
• Familiar with cloud platforms such as AWS and Azure.
• Understanding of DevOps and automated testing tools, such as Ansible and Selenium.
• Excellent communication and problem-solving skills.
• Priority given to those with a background in power systems or cooling systems.
• Ability to quickly learn new technologies.

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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer. The successful candidate will work on experiments and numerical modelling of 3D breaking waves and wave-current interaction. The candidate should have strong knowledge background in terms of waves, currents, turbulence, etc. Experience with experiments and CFD model will be advantageous. Only shortlisted applicants will be notified.

Job Requirements

• Possess at least a Masters degree in Civil Engineering with related research experience.
• Candidates with background in fluid mechanics, coastal and ocean engineering, experimental methods are encouraged to apply.
• Strong written and spoken communications.
• Good in quantitative analysis.
• Strong written and spoken communications.
• Good knowledge of CFD analysis and programming skill is an advantage.
• Open to fixed-term contract.

Please apply here: https://talent.sage.hr/jobs/9ace774d-e61b-4f47-836f-9fe098d9a2b1

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Cybersecurity Research Fellows with the following backgrounds:

- Cybersecurity Research & Engineering

- Cybersecurity threat modelling

- Network Intrusion Detection

- Cryptography

- Anomaly Detection

- AI Security

As Cybersecurity Research Fellow, the successful candidate will contribute to the programme by conducting fundamental research aligned with the programme and translating research outputs to achieve impact within the Singapore healthcare environment.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for. Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

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 NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

Our department is seeking to hire a responsible and talented Research Fellow (RF) to support research aiming to develop AI embedded methods and tools to facilitate the testing procedure of Continental products. This project needs the employee to apply computer vision AI techniques and learning algorithms to build toolkits that automatically generates complete architecture of test cases and corresponding labels, which will spend plenty of time in traditional manual testing. The RF is also involved in some academic works including, reinforcement learning, computer vision, and software testing.

Key Responsibilities:

• Conducting the research in AI domains (e.g., reinforcement learning and image recognition), software testing, program synthesis
• Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially software testing (automatic test case/plan generation)
• Conducting the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models
• Participating in co-operation with Continental’s development team
• Interacting with Continental business units
• Developing and integrating AI algorithms into the real development progress
• Preparing academic publications such as pattern, research paper
• Contributing to seasonal and annual report writing and presenting

Job Requirements:

• PhD degree in Artificial Intelligence, Computer Science, Software Engineering
• Strong background and research experience in artificial intelligence, software engineering, automatic testing, program synthesis
• Excellent background and experience in programming language, especially python
• Good communication and report-writing skills
• Strong responsibility for research and work

We regret that only shortlisted candidates will be notified.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, and biodiesel manufacturing, and grains processing and merchandising. It has over 1,000 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50 other countries. The Group is backed by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for an assistant research officer to join Wilmar’s corporate lab (WIL@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres to predict quality parameters related to the product.

Main responsibilities of the incumbent (not limited to):

• Manage and pre-process data
• Ability to code and script based on specified tasks
• Statistical analysis and machine learning experience in the following area
• Forecasting using time series data
• Neural networks, in particular recurrent and long short term memory networks
• Versatile in applying computational techniques to solve open problems
• Participate in seminars and research-in-progress meetings within the team and collaborators

Job requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Machine learning and statistical background
• Positive learning attitude towards new ideas

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 Assistant Professor Andrea Phua’s lab on a range of projects, primarily “Investigating the cognitive functions of neuronal cilia in dorsomedial striatum- mediated goal-directed learning”.

The main responsibilities of the position include:

• Conducting mouse behavior experiments
• Conducting mouse brain stereotaxic surgeries
• Managing mouse breeding colonies
• Performing molecular biology experiments e.g. virus vector production

Qualifications

The candidate should hold a Bachelor’s Degree in Biological Science, Biomedical Science, Biotechnology or Veterinary Technology. Polytechnic diploma holders with relevant skills and experience are also encouraged to apply.

Skills:

• Strong interest in neuroscience research
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Experience in small animal care, surgery and husbandry
• Understands small rodent behavior
• Good knowledge of molecular biology e.g. genotyping, molecular cloning, virus vector production, mammalian cell culture

About the Company

DQ Lab Pte Ltd is a global social enterprise based in Singapore. It is dedicated to providing global benchmarking tools of the DQ global standards through real-time data assessment and visualization that empower individuals, organizations, and nations to be digitally safe and competent. DQ Lab is affiliated withDQ Institute (DQI), an international think-tank that is dedicated to setting global standards for digital intelligence and to ensuring the safety, empowerment, and well-being of individuals, organisations, and nations in the digital age. DQI seeks to promote and coordinate digital intelligence education worldwide by using the DQ framework as a set of global standards for digital literacy, skills, and readiness (https://www.dqinstitute.org/; https://www.poweredbydq.com/ ).

Responsibilities

We are looking for researchers who can bring their talents to contribute to the evaluation and accreditation of digital literacy educational programs. This exciting project will involve partnership work with large scale international organisations such as the international telecommunications union (ITU), IEEE, the G20 Civil Society, and others.

As a Research & Development Analyst, you will bring enthusiasm, energy, and passion to your work on issues at the forefront of education and technology. Our team values problem-solving, analytical and statistical skills. Our ideal candidates are smart, creative, analytical thinkers with meticulous attention to detail.

The researcher will take the lead on a scheme where DQ Lab evaluates and accredits the educational content of partners and clients. You will manage relationships with international partners including governments, NGOs, schools, universities, and private companies. Moreover, you will study their educational materials, evaluate their alignment with DQ Global Standards and produce on-/off-line reports and presentations while working alongside our partner organisations.

You will be part of an international team working closely with colleagues from data science and IT development. In addition, you will work closely with partners and advisors who work at the cutting edge in the fields of psychology, public policy and education research. You will engage with partners from globally renowned NGOs and social enterprises as well as figures from various governments.

Important Requirements

● Highly knowledgeable in psychology, education or political science

● Have a keen interest in education, technology and future readiness

● Have a bachelor’s or master’s degree in psychology, education or another relevant field

● Should be independent and able to work as part of a small team

● Curious, creative and willing to learn

Desired Background

● Education: Hold a bachelor’s or master’s degree in psychometrics, psychology, education, political science, global studies or a related field.

● Experience: Relevant professional experience with research or technology companies is desirable.

Knowledge, Abilities, and Skills

MUST

● Exceptional theoretical and practical knowledge in the conception of studies and questionnaires.

● Excellent verbal and written communication skills.

● Be able to research strategy and support the strategic direction.

● Be able to translate science to educators and policy makers.

● Be able to understand statistics and to communicate with data scientists.

● Be able to work effectively independently and as part of a team.

● Be able to adapt to a dynamically changing environment.

PREFERRED

● Agile in managing multiple tasks and priorities.

● Strong analytical and problem-solving skills.

● Experienced in UX/UI design or product management.

● Strong interpersonal skills; ability to work effectively independently and as part of a team.

● Proven problem-solving skills.

● Excellent interpersonal and 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 Life Sciences Institute is a research centre dedicated to the understanding of fundamental biological pathways in human health and disease, environmental science and industrial processes.

We promote scientific discovery through creative and multidisciplinary approaches in an environment that is highly collaborative. We also seek to integrate our pioneering basic research with the application and exploitation of new research discoveries. LSI brings together scientists and clinicians from five NUS faculties and supports advanced core facilities and cutting-edge research infrastructure.

We are looking for an individual trained in cell culture, transfection and standard molecular biology assays such as confocal microscopy, flow cytometry, western blot, immunohistochemistry.

The job would include performing:

1. In vitro experiments with cell culture
2. Standard molecular biology assays such as immunostaining, convocation microscopy, flow cytometry, cryosectioning
3. Performing in-vivo experiments with rodents - involves rodent anaesthesia, perfusion, dissection
4. Helping out with purchasing items and laboratory housekeeping

Qualifications

Applicant should:

• Successfully completed Bachelor's Degree in Life Sciences
• Preferably have prior knowledge in tissue cryo-sectioning, preparation of paraffin-embedded tissues and familiar with immunofluorescence staining of animal tissues.
• Be comfortable with animal handling. Prior experience is preferred but not required
• Preferably have prior experience in basic laboratory techniques such as cell culture, histology, and confocal microscopy is advantageous.
• Proficient in English.
• Preferably be proficient in lists of software eg. ImageJ, GraphPad Prism and BioRender.
• Be highly motivated, independent, detail-oriented

Please include your cover letter, CV and names of 3 references (name, institution, email) upon application. Shortlisted candidates will be contacted.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for a Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for optimizing enzyme production.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statistical analysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently hiring for a position of Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for food product development.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statisticalanalysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

The Dementia Research Centre (Singapore) at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore is looking for candidates with PhD training and a research track record in Biomedical science, Psychology and engineering or related disciplines to support our growing portfolio of exciting multimodal neuroimaging analyses in neurodegenerative disorders, especially under the Science of Learning initiative. We are a vibrant team studying brain alterations in the preclinical cognitively normal individuals and in early stages of young and late-onset dementia in subjects from Singapore using multimodal structural and functional brain imaging and statistical analyses to predict disease progression and conversion.

Job Description

The candidate will provide research support to the principal investigator and team in the organisation, processing and analyses of neuroimaging data as well as using various neuroimaging, biomarker and neurocognitive data for developing advanced machine learning algorithms for disease prediction and progression for dementia-related studies at the Dementia Research Centre (Singapore), in adherence to the International Council for Harmonisation Good Clinical Practice (ICH GCP) and protocol requirements. This position offers an excellent opportunity to develop and refine in demand skills in clinical research in the field of ageing and dementia especially under the new Science of Learning initiative at the centre. Successful candidates will assist in high value research endeavours and perform a variety of functions, such as:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging studies
• Organize, fine-tune and execute neuropsychological testing
• Perform project coordination and assist with data collection, organisation and data management under the purview of the grant
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Job Requirements

• PhD in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

A research fellow position is available in the DNA and RNA Editing (DaRE) Laboratory at the School of Chemistry, Chemical Engineering and Biotechnology (CCEB) in NTU. The laboratory, led by Assoc Prof Tan Meng How, works on developing and applying cutting edge biotechnologies, including high throughput next generation (NGS) sequencing, CRISPR-Cas, and deep learning methodologies to read, write, and decipher the genome and transcriptome of living cells. The research fellow will be involved in efforts to develop and/or apply new tools and methodologies to push the boundaries of genomics and synthetic biology.

Key Responsibilities:

• Develop and/or apply new genome and transcriptome engineering technologies
• Perform functional genomics assays and other wet-lab experiments
• Analyze experimental data and prepare reports and presentations
• Write and publish high-impact journal papers
• Guide graduate and undergraduate students

Job Requirements:

• A PhD degree from a reputable university in science or engineering
• Strong research experience in biological sciences, bioengineering, biotechnology, or a related discipline (such as genomics, genetics, computational biology, cell biology, molecular biology, synthetic biology etc.)
• Outstanding publication track record, preferably with a first-author paper in a high-impact journal
• Demonstrated ability to work well in a team
• Good working knowledge of the latest genomic technologies

To apply, please submit a CV, brief statement of research interests, and contact information for at least two references to [email protected].

We regret that only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

Key job purpose

• Conduct investigations on the bonding and debonding of adhesively bonded composite joints with modified adhesives via induction heating by developing a in-situ heating – peeling testing device.

Key Responsibilities:

• Deep drive into the modification of adhesives with magnetic particles and investigate the hysteresis heating response under the induction heating.
• Able to fabricate the long fiber reinforced composite materials with modified adhesives for their joining and investigate the debonding response Develop necessary test matrix to do comprehensive parametric studies
• Develop in-situ induction heating and debond test set-up for the peel tests.
• Capabilities in advanced finite element or machine learning tools for process optimisation
• Disseminate the research outcomes into Journal publications, conference presentations and patents, where appropriate.

Job Requirements:

• PhD degree in materials engineering or mechanical engineering or chemical engineering with good relevant track record and experience.

We regret to inform that only shortlisted candidates will be notified.

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science program, ‘Proteins4Singapore,’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in plant and food technology, food chemistry, materials science, and business sustainability. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Job Summary

We are seeking a highly motivated and skilled Research Fellow to join our dynamic research team focusing on designing, adapting, and implementing cutting-edge mechanical and electronic systems for a decentralized food manufacturing model. As part of the Proteins4Singapore project, this role involves on utilizing simulations and advanced control systems to optimize and ensure quality in novel food textures and forms. This position plays a critical role in advancing sustainable protein solutions for urban environments through interdisciplinary collaboration, drawing expertise from mechanical engineering, mechatronics, and food engineering. This is a 1-year contract with the possibility of extension after the first year.

Key Responsibilities

• Develop a closed-loop control system to synchronize high-moisture extrusion and shape manipulator systems with a seamless integration and quality assurance.
• Integrate a variety of non-invasive sensors for a continuous and active monitoring on a food shape manipulator system.
• Develop and adapt custom firmware to integrate extrusion, in-line monitoring and control system with software protocols.
• Work closely with interdisciplinary teams to combine multiscale structural analysis with food processing methods, such as 3D printing and extrusion, supporting the project’s overarching goals of promoting sustainable food technologies and creating novel approaches for analyzing food texture.
• Engage in collaborative research, data analysis, and interpretation, while contributing to the writing of research papers, reports, and presentations for dissemination at conferences and in peer-reviewed journals.
• Participate in lab meetings, seminars, and collaborative research discussions to align with project goals and objectives.
• Supervise junior group members including undergraduate and doctoral students.

Key Competencies

• Proficient in firmware and software development, with experience in real-time systems, control algorithms, and open-source platforms.
• Strong background of at least 3 years in mechatronics, electronic systems, and automation; ideally experience with CFD, FEM simulations, and rheology for material flow analysis.
• Experience with food processing technologies, particularly food-grade and semi-solid materials, and a focus on safety and user-centric design.
• Publication as key author in related journals.
• Excellent communication skills, both written and verbal, in particular communication of complex scientific concepts to both specialists and non-specialists in a multidisciplinary research environment.
• Proven ability to conduct independent research and collaborate in multidisciplinary teams including working effectively within deadlines.
• Self-motivated and adaptable, with strong problem-solving skills and the ability to thrive in a dynamic, fast-paced research environment.

Qualification Requirements

• Ph.D. in Mechanical Engineering, Mechatronics, Food Processing, Industrial Engineering, or cognate discipline from a reputable university.
• Demonstrated ability in firmware programming and real-time process control integration.
• Strong communication skills, both verbal and written, with the ability to document processes and present findings effectively.

What we offer

• A collaborative and inclusive research environment.
• Access to state-of-the-art laboratory facilities and equipment.
• Opportunities for professional development and career growth.
• Engagement with a leading research team committed to advancing an emerging topic of global relevance.

Applications

Please send your complete application including a cover letter and detailed CV to [email protected].

Only shortlisted candidates will be contacted.

We are looking forward to your application!

Duke-NUS Medical School (Duke-NUS) was established through a landmark collaboration between two world-class institutions; Duke University and National University of Singapore, with the objective of providing innovative education and impactful research that enhance the practice of medicine in Singapore and beyond.

The Centre of Regulatory Excellence (CoRE) was established at Duke-NUS in 2014 with the mission of forming regional platforms and networks to grow competencies, build capacity and promote thought leadership in regulatory science and health policy in the Asia Pacific, with a focus on South-East Asia.

CoRE has established a strong and highly regarded education portfolio for industry professionals and regulators. The Centre also enables thought leadership and policy innovation in areas of health products regulation, and its expanded scope now includes issues related to global health, health policies and health system strengthening. Its key focus areas are digital health, vaccines & pandemic preparedness, advanced and innovative therapeutics, innovative clinical trials, and medical devices.

The roles and responsibilities of the successful candidate would include: -

• Contribute to the development and maintenance of training components including online courses, in collaboration with external technical experts.
• Engage network of experts locally and regionally, to ensure the accuracy and practical relevance of training courses.
• Ensure close alignment and consistency of training in support of the University’s pedagogy and maximising the learner’s engagement.

Qualifications

• Degree in Biomedical, Life Sciences or equivalent with minimum 2 years of knowledge, skills and expertise in the relevant field.
• Competent and experienced in developing and constructing training materials for tertiary education.
• Prior experience in regulatory affairs and knowledge of healthcare settings of the ASEAN region will be advantageous.

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 is seeking a Research Associate/Research Fellow (Research Manager) 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 lead and coordinate BISI's research initiatives. You will play a crucial role in shaping and executing our strategic research agenda, ensuring timely delivery of projects, and maintaining strong relationships with key stakeholders.

Main Duties and Responsibilities

• Contribute to the ongoing development and organise BISI’s research programme to support its strategic direction and mission.
• Lead the tracking, timely reporting and development of research budgets and individual projects, including existing grants and future funding bids, such that the research and project work can be delivered efficiently.
• Monitor research progress, and identify and implement project management interventions to keep research activities on track.
• Plan and monitor research design, data collection, data storage, documentation and reporting in line with the highest ethical standards and Institutional Review Board (IRB) requirements.
• Oversee project teams, staff allocation, budgeting and procurement processes to support programme productivity and continuity.
• Prepare and coordinate reports on programme progress for a variety of audiences.
• Regularly communicate with BISI management team and stakeholders, internal and external (e.g., relevant government ministries).

Qualifications

The candidate should possess:

• A Master’s or PhD in Psychology/Behavioural Science/Public Health or any discipline related to health or biomedical sciences.
• Minimum of five (5) years of project/programme management experience with the ability to juggle and complete multiple projects with diverse stakeholders within an academic or healthcare setting.
• Working knowledge in research ethics and HBRA is advantageous.
• Experience supporting the full cycle of Institutional Review Board activities, from application, management, documentation and reporting for studies involving human participants.
• Ability to write, edit, and produce reports and other formal documents of communication.
• Ability to produce, manage and understand financial documents, particularly in the context of research grants.

Qualifications

• Successful management and coordination of research staff, including research assistants, students and interns.
• Excellent organisation and problem-solving skills.
• Proficient in Microsoft Office programs (Word, Excel, PowerPoint and Outlook) and project management tools.
• Excellent command of spoken and written English.
• A team player with an ability to work independently.
• Highly motivated, proactive, and goal-oriented.
• Keen interest in the area of behavioural and implementation sciences for research translation and communication will be advantageous.

Application

What Being Successful in the Role Looks Like

The successful hire works closely, collaboratively and competently as part of an interdisciplinary team within BISI. He or she is excellent in writing and presentation and has exceptional grantsmanship and project management skills. He or she can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up BISI’s open and positive work culture.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Shao Chuen, 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.

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

National University of Singapore

Yong Loo Lin School of Medicine

Alice Lee Centre for Nursing Studies (ALCNS)

Research Assistant

Appointment period: 1 year in the first instance, with a possibility of extension up to 1 year.

Expected commencement of work: ASAP

Duties and Responsibilities

The appointee will assist the project leader with the following:

1. oversee the general management and assist in the administrative and secretarial support to project (e.g. organizing regular research meetings, meeting minutes recording);
2. assist in literature review and manuscript preparation;
3. conduct literature searches, using SPSS to enter data, analyze data and maintain trial databases, as well as assist in preparing both progress and final reports of the projects;
4. undertake the day to day running of the project at the study site (such as assist in ethical application and amendment, recruitment, provision of intervention, and data collection in study sites);
5. maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. work on other tasks as assigned.

Qualifications

The applicant should:

1. have a degree in nursing/psychology/public health or related disciplines;
2. experience working with research project management or having a honors degree will be preferred;
3. experience in conducting interventional research;
4. be able to work independently and with a team, have an investigative nature and attention to detail;
5. have knowledge of computer applications (such as SPSS and MS Office, PowerPoint); and
6. have good communication skills with patients and colleagues, and fluency in English.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and interventional research.

Formal application:

Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.