Total 3,510 research nurse job vacancies in Education / Training category in Singapore

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to:

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Job Description

· Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Structural assessment of the test models as well as other support to be used in the experimental setup.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models’ behaviour and response by use of appropriate sensors like load cells or custom strain gauges.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

· Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Structural response and health monitoring of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

· Any other duties as assigned by supervisor.

Job Requirements

· Bachelor’s/ Master’s Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

· Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

- Offshore engineering, marine engineering, marine structures, hydrodynamics, naval architecture.

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

- CAD software such as SolidWorks, Rhino, AutoCAD

- Engineering tools such as SESAM and ABAQUS

- Programming codes such as Python, MATLAB, or equivalent.

· Model experiments in wave flumes, wave tank or ocean basin.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with a high degree of professional integrity.

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 Summary:
The Scientific Officer conducts surveillance and outbreak investigations, designs and supervises experiments, and leads projects related to public health. They will develop new diagnostic methods, analyze data, supervise staff, and write reports and publications. The role involves both management and lab work, including collaboration with internal and external teams.

Main Duties and Responsibilities:

Specific:

1. Develops and maintains lab tests for surveillance and outbreak investigations.
2. Compiles and submits surveillance reports.
3. Supervises medical technologists and graduate students, addressing technical issues and ensuring quality control.
4. Develops and optimizes new assays and methods.
5. Assists in coordinating outbreak investigations with the Deputy/HOD and MOH.
6. Validates test results and ensures quality control procedures.
7. Updates manuals and protocols to maintain service quality.
8. Assists with department inspections and biosafety management.
9. Conducts risk assessments for lab procedures and ensures safety compliance.
10. Supports grant applications and collaborates with local and international labs.
11. Provides expert input on diagnostic methods and new technologies.

General:

1. Complies with safety, ethical, and infection control standards.
2. Participates in team meetings and laboratory operations.
3. Assists in ordering lab supplies and equipment.
4. Works overtime or on weekends as needed.
5. Performs other tasks as directed by supervisors.

Job Requirements:

• Ph.D. in Microbiology, Life Sciences, Molecular Biology, or related field (preferred).
• Minimum 5 years’ experience in Molecular Biology, Clinical Diagnosis, or Infectious Disease.
• Ability to lead research projects and work in a team.
• Strong communication skills, both oral and written.

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

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 Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, NUS, seeks a Research Assistant/Associate to support an innovative project developing prognostic digital biomarkers of aging using physical activity data from wearable devices. This position will contribute to advancing personalized healthcare through data-driven approaches to risk segment populations to enable health promotion and longevity.

Position Overview

The successful candidate will support the analysis of physical activity data and health outcomes to develop digital biomarkers of aging and risk stratification models. The multidisciplinary team aims to process large-scale physical activity datasets and contribute to the development of an interactive healthcare dashboard. This is a 12-month position with the possibility of extension based on grant funding.

Main Duties and Responsibilities

1. Data Analytics & ProcessingDevelop a plan to process and analyze physical activity data from wearable devices
   Support the development of risk stratification models
   Assist in integrating health outcome records with physical activity data
   Identify a pathway to implement statistical and machine learning techniques for biomarker identification
   Develop plans for validating risk stratification models
2. Planning Technical DevelopmentSupport development plans for the creation of interactive dashboards for data visualization
   Identify data quality control and security protocols
   
3. Research SupportHelp prepare materials for future grant applications
   Assist in preparing research documentation and reports
   Support stakeholder coordination and technical strategy development
   Contribute to research team meetings and discussions
   Any other tasks deemed necessary by the research team
   

Qualifications

1. Education & ExperienceResearch Assistant: Bachelor's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   Research Associate: Master's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   
2. Technical SkillsProgramming proficiency in relevant software systems such as Python or R
   Experience with statistical analysis and machine learning
   Experience in data preprocessing and data harmonization
   Familiarity with healthcare data standards
   
3. Professional SkillsStrong analytical and problem-solving abilities
   Excellent attention to detail
   Good project management skills
   Ability to work in a collaborative research environment
   

Benefits

1. Competitive salary commensurate with qualifications
2. Professional development opportunities
3. Access to research computing facilities
4. Health insurance coverage

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc

We are looking for a Research Engineer to Support research in exploring mechanistic interpretability of vision-language models. Vision-Language Models (VLMs) are powerful tools for processing and understanding text and images. This research aims to study the processing of visual tokens in the language model component of VLM. The role will focus on analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.

Key Responsibilities:

• Conduct research and analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Bachelor’s / Master’s degree in computer science or related field
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Conduct research and analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

​

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

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc

We are looking for a Research Engineer to develop, implement, and oversee techniques and systems in Trust Technology and related areas such as privacy, security and blockchain, which are important components of digital trust platforms. The role will focus on emerging technologies that engenders trust and espouse the values of fairness, safety, and privacy in digital technologies.

Key Responsibilities:

• Conduct research into trust technologies testing – translating algorithms, tools, and frameworks into working prototypes that can explain how research outputs can be productized into new capabilities.
• Work closely with Centre’s researchers to design and develop system implementation work from research into the product.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Bachelor’s degree in computer science/ engineering or related fields.
• Proficiency in Python; experience with Java, C/C++, Go, and PyTorch/TensorFlow is a plus.
• Proficient with Linux (e.g., Ubuntu, CentOS) and shell scripting with experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Familiarity with version control systems (Git) and collaborative development tools.
• Experience in developing and deploying machine learning models, especially in NLP and LLMs, including tasks like data preprocessing, feature extraction, and model training/evaluation. Strong knowledge of machine learning, deep learning (e.g., knowledge graphs, AI testing, machine unlearning).
• Experience in end-to-end ML system development (data exploration, feature engineering, model training/evaluation) with strong understanding of software engineering principles and best practices as well as attention to ethical considerations in AI, including data privacy and security.
• Ability to communicate technical concepts to both technical and non-technical stakeholders, with strong analytical, problem-solving, and collaborative skills
• Self-motivated, able to work independently in a fast-paced environment.

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

Job Title: Postdoctoral Researcher (3D-printed Injection Molds)

Scope of the Research:

The project aims to investigate the feasibility of fabricating 3D-printed moulds for injection moulding. The objective of the project includes:

• To identify materials and additives used for the process
• To fabricate well-defined micro and nanostructures by additive manufacturing
• To fabricate hierarchical structures with well-defined inner morphologies

• To characterize the properties of the fabricated structures
• To automate the fabrication process
• To modify or develop instruments applicable to the developed process

The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists.

Qualification, Skills, and Experiences:

• PhD (for postdocs) or M.S./B.S. (for research assistants) in chemistry, materials sciences and/or related fields • Experiences in digital fabrication (3D printing, laser cutting, fluid dispensing)
• Experiences in the design and manufacturing of scientific instruments
• Experiences in microfluidics, microfabrication
• Experiences in digital fabrication, CAD, and 3D drawing and modelling
• Good track record of scientific publications
• Excellent written and oral communication skills in English

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Associate, Microbiome & Bioinformatics

We are looking for a Research Associate to join the laboratory of Dr Anni Zhang at SBS. This role focuses on a cutting-edge project, “Predicting DNA-Protein Binding to Enhance Bacteria-Based Cancer Therapy Safety and Efficacy.”

Key Responsibilities:

• Collect and analyze bacterial sequencing data.
• Design bioinformatics and statistical models to detect selective sweeps in the gut microbiome.
• Provide guidance on other microbiome-related projects within the lab.
• Other duties as assigned.

Job Requirements

• A Master's degree in Quantitative Biology or a related field, with a focus on bioinformatics.
• Strong communication skills in English - essential for data analysis and communication with stakeholders
• Experience in developing statistical models.
• Strong background in microbiology and mathematics.
• Personal attributes: patient, curious, cooperative, and meticulous.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

Research Fellow position is immediately available at the Hematopoietic Stem Cell Laboratory located at National Cancer Centre Singapore. The Hematopoietic Stem Cell Laboratory laboratory under Prof William Hwang is looking to for RF who can bring the skillset to the hematopoietic stem cell expansion platform.

Education Qualifications:

- PhD with minimum 2 years of relevant experience with specialisation in stem cell culture.

- Good oral and written English.

Relevant Experence:

- Perform induced pluripotent stem cells (iPSCs), hematopoietic stem cells (HSCs) and/ or mesenchymal stromal cells (MSCs) culture.

- Experience with induced pluripotent stem cells is a plus.

- Experience with cell expansion systems (suspension or adherent types).

- Ability to read, analyse and interpret scientific data and publications.

- Ability to author or review protocols, technical reports and technology transfer documents.

- Ability to define problems, collect data, establish facts, and draw conclusions.

- Able to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies.

- Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, 10X genomics, Mass Spectrometry and bioinformatics will be valued.

- Excellent organisational skills.

- Proficient in molecular biology techniques (e.g. DNA and RNA isolation, qRT-PCR, sequence analysis, plasmid cloning, protein analysis and western blot), data analysis (E.g RNA-seq).

- Experience in generation and expansion of iPSC's, T cells, NK cells, HSCs and/or MSCs.

- Immunostaining, microscopy and image analysis (e.g. FISH).

- Experience in handling tissue samples for derivation of cell lines.

- Ensure continuous professional development by keeping up to date with all technical knowledge and skills in line with current best practices.

The following laboratory skills are desirable:

- Stem cell biology and differentiation.

- Transcriptomics, metabolomics and proteomics with advanced bioinformatics analysis.

- Flow cytometry, FACS and high throughput screening analysis.

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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and wellbeing of Singaporeans across the life course.

Job Description:

We are seeking for a highly motivated individual to take on the functional role that combines data management and data science skills for OMOP data curation & data analytics of Integrative Adolescence Research Programme (IARP).

Job Responsibilities:

• Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation (HDR UK CaRROT mapper).
• Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
• Perform advanced analytics atop the OMOP Common Data Model for population-level analyses and data visualizations

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (Python, R).
• Knowledge/experience on OHDSI OMOP framework and regulatory data submissions.
• Good team player and communication skills for collaborative research.
• 3 to 5 years' experience.

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.

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 open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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

NTU’s School of Materials Science and Engineering (MSE) seeks a highly skilled and innovative researcher to drive advancements in small molecule electroconversion, with a strategic focus on ammonia. The role involves integrating expertise in computational modeling, machine learning, materials synthesis, and characterization to develop cutting-edge, sustainable solutions in energy systems. This position supports NTU MSE’s mission to lead world-class research that addresses pressing global challenges in energy storage and environmental sustainability. The successful candidate will contribute to high-impact publications and pioneering projects that reinforce NTU’s leadership in transformative research.

Key Responsibilities:

• Conduct research to design and develop advanced electrode materials and catalytic systems for small molecule electroconversion, focusing on ammonia.
• Utilize computational tools, such as Materials Studio, along with machine learning techniques (Python, Matlab), to simulate and optimize material properties and reaction mechanisms.
• Synthesize and characterize materials using advanced techniques, including XRD, Raman spectroscopy, TEM, and XAFS, to evaluate structural stability and performance.
• Perform electrochemical testing and develop protocols to assess catalytic and energy storage efficiency.
• Integrate experimental results with machine/deep learning and theoretical insights to identify and understand new reaction mechanisms.
• Publish findings in high-impact journals and present at international conferences to enhance NTU’s academic reputation.
• Collaborate within multidisciplinary teams to ensure project milestones are met and contribute to the the project research goals.
• Lead and contribute to innovative solutions addressing challenges in electrochemical processes for sustainable energy systems.

Job Requirements:

• Ph.D. in Chemistry, Materials Science, or a closely related field, with a strong focus on electrochemistry, catalysis, or energy materials.
• Expertise in material synthesis, advanced characterization (XRD, Raman, TEM, XAFS), and electrochemical testing methodologies.
• Proficiency in computational modeling tools and machine learning (Python, Matlab) for predictive and analytical purposes.
• Demonstrated research background in designing and optimizing electrode materials and catalytic systems for energy applications.
• Strong publication record with papers in high-impact journals, showcasing significant contributions to material science and electrocatalysis.
• Problem-solving skills with a demonstrated ability to integrate experimental and theoretical approaches to address complex research challenges.
• Familiarity with electrochemical cell assembly/design, testing, and visualization tools (e.g., Photoshop).
• Proven organizational and project management capabilities to deliver impactful and timely research outcomes.

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

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and wellbeing of Singaporeans across the life course.

Job Description:

We are seeking for a highly motivated individual to take on the functional role that combines data management and data science skills for OMOP data curation & data analytics of Integrative Adolescence Research Programme (IARP).

Job Responsibilities:

• Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation (HDR UK CaRROT mapper).
• Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
• Perform advanced analytics atop the OMOP Common Data Model for population-level analyses and data visualizations

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (Python, R).
• Knowledge/experience on OHDSI OMOP framework and regulatory data submissions.
• Good team player and communication skills for collaborative research.
• 0 to 3 years' experience.

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (postdoc) positions in the Department of Chemical and Biomolecular Engineering at National University of Singapore (NUS).

The primary objectives of these two positions are to foster a profound design principle towards novel, cost-effective electrocatalysts and reactors for the efficient conversion of CO2/CO into liquid fuels. Furthermore, these roles will involve exploring the potential for synergizing biochemistry and electrochemistry, with the overarching goal of enhancing selectivity and efficiency in the conversion of CO2 into multi-carbon products. Extensive state-of-the-art infrastructures for materials synthesis and physical characterizations are established at the Department.

The research fellows are required to help in guiding young students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

The applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field. Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environments.

We are seeking a highly motivated and skilled Research Officer to join our team. The successful candidate will be responsible for implementing and optimizing algorithms for the generation of synthetic RNAs. This role involves a strong emphasis on computational biology, algorithm development, and the application of machine learning techniques to simulate RNA sequences and structures.

Key Responsibilities:

• Develop, implement, and optimize algorithms for generating synthetic RNA sequences with specific properties.
• Collaborate with cross-functional teams to integrate these algorithms into our synthetic biology platform.
• Analyze large datasets to validate the accuracy and efficiency of generated synthetic RNAs.
• Work closely with experimental biologists to design in silico RNA sequences that can be tested in the lab.
• Contribute to the development of software tools that assist in the design and simulation of synthetic RNAs.
• Stay updated with the latest research and technological advancements in the field of RNA biology and synthetic biology.
• Document research findings and present them at internal meetings and external conferences.

Requirements:

• A Master or Bachelor degree in Computational Biology, Bioinformatics, Synthetic Biology, Computer Science, Statistics, or a related field.
• Strong programming skills in languages such as Python, R, or C++.
• Experience with RNA sequence analysis, algorithm development, or machine learning is preferred.
• Familiarity with RNA secondary structure prediction and synthetic biology principles is a plus.
• Ability to work independently as well as collaboratively in a multidisciplinary research environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

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.

We are expanding our laboratory unit at the Pediatric Brain Tumor Research Office, SingHealth Duke-NUS Academic Medical Center. This is a Research Officer position. You will be working on molecular and cellular characterization of genes and biochemical/functional experiments related to translational aspects of human carcinogenesis, as well as mouse models.

Requirements:

- Bachelor of Science with Honors.
- Technical competence in a broad set of laboratory skills.
- Laboratory experience in molecular biological and cell culture techniques will be required.
- Experience in handling experiment with laboratory mice.
- Fluent in both written and spoken English.
- Ability to work independently, a good team player with good communication skills and dedication to the job.
- Conscientious, well organized and efficient in work management.
- Basic skills in computing and statistics analyses.

You are expected to work in a very friendly laboratory environment, with great learning opportunities, and mentorship from a clinician-scientist. Motivated individuals with good academic performance are encouraged to apply.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Centre for Holistic Inquiry into Lifelong Learning (CHILL).

The Research Fellow will be responsible for working closely with the Principal Investigator (A/Prof Suranga Nanayakkara). He/She will work in developing effective pedagogical strategies for CET (Continuous Education and Training) courses. Their work will involve developing potential strategies based prior work and in-house qualitative/quantitative data collections, designing interventions based on these strategies, testing and piloting them across various adult/lifelong learning courses.

Major responsibilities include:

1. Working with A/Prof Suranga Nanayakkara and Senior Research Fellow at CHILL to conduct original, impactful research.

2. Taking the lead on research & development work related top pedagogical strategies for CET (Continuous Education and Training) courses.

3. Contributing to disseminate research outcomes to the audience in the field of Adult Learning/Education/Learning Sciences through presentations, demos and journal/conference papers.

4. Participating in project meetings as well as industrial/academic events.

Qualifications

• A PhD in Learning Sciences, Education or related field
• Expertise in Adult Learning Theories and Frameworks
• Expertise in Qualitative Research Methods
• A strong research background with proven publication track record
• Excellent communication skills (written and verbal) and interpersonal skills

Why join us

NUS is a world-class university (ranked within the top 10 in the world) that provides an outstanding and supportive research environment. The CHILL is an excellent environment with a diverse team which will accelerate your research career.

The initial term of appointment will be 1 year (renewable). The selected candidate will be offered competitive salaries and benefits.

CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity, leveraging NTU’s core competencies in Engineering, Exact Sciences, International Studies and Business, among others.

We have a dedicated core team that uses its domain expertise and global experience while leveraging on NTU’s vibrant research culture and comprehensive R&D infrastructure to deliver state-of-the-art R&D projects. We engage with local as well as global agencies and industry partners to develop capabilities for a number of areas of strategic importance including:

• cyber worthiness of autonomous vehicles
• cyber risk management, advanced threat intelligence
• secure-by-design for IoT and policy
• governance of cybersecurity

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

We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent systems, addressing security challenges, and exploring information propagation theories to enhance the robustness and efficiency of these systems in real-world applications.

Key Responsibilities:

• Designing and developing multi-agent systems for large language models (LLMs).
• Investigating the security challenges and information propagation theories in multi-agent system.
• Writing high-quality research papers based on research findings.
• Developing research proposals related to multi-agent systems and their applications.

Job Requirements:

• PhD degree in Computer Science, Artificial Intelligence, or related fields.
• Strong research background in multi-agent systems and large language models.
• Expertise in security issues and information theory applied to multi-agent systems.
• Proven research experience in publishing high-quality research papers in top-tier conferences and journals.
• Proficiency in advanced programming and computational modeling tools (e.g., Python, distributed systems).
• Good written and oral communication skills.
• Entry level candidates are welcome to apply.

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

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 Candidate will be working on dynamic modelling and simulation of the powertrain of a full electric tug vessel, mainly using MATLAB/Simulink. The simulation models will be used to investigate the steady state and transient behaviour of the ship’s electric propulsion system.

Key Responsibilities

• Development of dynamic models of the ship’s electrical propulsion system including energy storage systems.
• Investigate steady-state and transient behaviours of an all-electric ship’s electrical system in various operational scenarios.
• Carry out mission-specific electrical power consumption analysis
• Electrical propulsion and ESS design optimization.
• Any other duties as assigned by the supervisor.

Job Requirements

• Bachelor's Degree or above in the areas of Electrical Engineering, Mechanical Engineering or Marine Engineering
• Other relevant disciplines are welcome to apply
• Background in programming languages and related research project experience is ideal

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

Qualifications

• Master's degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.