Total 3,585 research nurse job vacancies in Education / Training category in Singapore

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for a research associate to work on the development of an AI-power capsule endoscope that emulate a human eye for tracking a fast moving object.

The research associate will work on a project to conduct the investigation on development of ingestible robotic system to enable continuous monitoring of disease relevant biomarkers and decision-making for on-demand delivery of therapeutics in the gastro intestinal tract in a non-invasive and automated manner. Novel sensors and actuators as well as their circuit design interface and algorithms for will be investigated.

Key Responsibilities:

• Development of circuit for implementing FPGA and microcontroller for implementing edge computing in ingestible/implantable electronics.
• Development of AI accelerator for encryption of wireless communication in medical electronics.

Job Requirements:

• MSc in Electrical and Electronic Engineering, computer engineering, or related field
• 4-year research experience in related area
• Expertise in embedded system and FPGA
• Knowledge in interfacing circuit design for low power sensing and wireless communication
• Experiences in biosensors and actuators for biomedical applications are highly preferred
• Publication track record is an advantage
• Proficiency in basics of programming languages such as C, C++ and Python

We regret that only shortlisted candidates will be notified.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Conduct research on computer vision, deep learning and AI, addressing a wide range of challenges in deep learning, computer vision, AIGC, graphics, large multi-modality models, diffusion models, video generation, 3D generation, video understanding, self-supervised learning, and autoregressive models.

- Explore the application of large-scale/super-large-scale visual foundation models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

- Possess research and practical experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, large-scale training and RLHF.

- Proven track record of high-impact research.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

- Possess coding skills in C/C++ and Python.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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 Division of Allergy & Immunology at the Department of Paediatrics, Yong Loo Lin School of Medicine, NUS is looking for highly motivated and enthusiastic candidates with a keen interest in clinical translational research in allergic disease to join our team as a Research Assistant. We run large cohort studies, observational and population health studies in Paediatric Allergy and Immunology to better understand childhood allergic diseases such as atopic dermatitis (eczema) and food allergy, with the goal of understanding disease prevalence, natural history and endophenotypes; developing diagnostic tools and therapeutic strategies and advocating for clinical policy changes that would serve to improve health outcomes for children with allergic disorders.

Appointments will be made on an annual contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and collaborate with, the Principal Investigator and study team members to conduct various research projects in the field of Paediatric Allergy & Immunology to ensure the successful completion of study measures in a timely manner to achieve high quality and impactful deliverables. The RA’s principal role will be to perform clinical research-related procedures such as subject screening and recruitment, subject follow-ups, coordinating the collection and processing of biological samples, data collection, management and processes, data entry, cleaning and analysis.

Main Duties and Responsibilities

The Research Assistant will be involved in conducting research visits and study procedures and will be accountable to the Principal Investigator (PI) and Project Lead.

The RA will :

1. Assist with Subject screening and recruitment, conduct study visits, perform study procedures and collection of data sets and in strict adherence to approved study protocols, ICH Good Clinical Practice and other applicable regulatory bodies;
2. Assist with biological sample processing, storage and analysis;
3. Maintenance and organization of the investigator site files (ISF), preparation and submissions of documents and/or reports (e.g study amendments, study status reports) to the ethics committee;
4. Assist with grant status reports and preparation of study progress slides during regular meetings with Co-Is and Collaborators;

Main Duties and Responsibilities

1. Assist with consolidation and management of data, data cleaning and data analysis;
2. Conduct literature review, manuscript preparation and administrative aspects in relation to grant write up and submissions;
3. Assist with any other duties of a similar nature that are delegated by the PI and/or Project Lead.
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures, and uphold a culture of camaraderie and excellence in the team

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position

Qualifications

The applicant should:

1. Have a Bachelors in Biomedical science, Allied Health or related field
2. Have Basic Laboratory skills e.g pipetting, centrifugation
3. Be able to work independently and in a team, have an investigative nature, attention to detail, self-motivated with initiative
4. Have outstanding organizational skills and interpersonal communication skills
5. Have basic computer literacy in applications such as MS office (Word, Excel) PowerPoint and Adobe
6. Having experience in the conduct of clinical studies, maintenance of ISF, use of REDCap, GraphPad Prism, SPSS and related platform; performing skin prick tests, skin swabs, phlebotomy, data and sample collection will be advantageous

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Alicia Kang, 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 the NUS Career Portal.

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor HUANG DEJIAN on Plant proteins for Cultivated meat under a project on SUSTAINABLE PRODUCTION OF CULTIVATED MEAT: MEDIA, SCAFFOLDS AND BIOPROCESS.

The main responsibilities of the position include:
1) Coordinate activity of progress of sub-projects of this grant funded by government (Singapore Food Agency)
2) Lead development of plant proteins as new edible biomaterials for scaffold fabrication and coating materials to improve cyto-affinities
3) Write progress reports of the grant
4) Write invention disclosures
5) Write manuscripts for publication
6) Write grant proposals related to the plant protein work
7) Supervise junior students

Qualifications

Qualifications / Discipline:
PhD degree majoring in Food Science and Technology or closely related fields.

Skills:
Skilled at extraction of plant proteins and Natural products. Food analysis methods such as HPLC, SDS-PAGE, proximate analysis, cell culture skills, imaging molecular biology experimentation skills. Good communication skills in writing and spoken English skills in scientific writing including creative graphic presentation.

Experience:
0-3 years of working experience.

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant for Saw Swee Hock School of Public Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to model the impact and cost-effectiveness of contact-transmissible infectious diseases. This role offers the opportunity to contribute to cutting-edge research, collaborate with a team of experts, and work on other infectious disease analyses.

Job scope:
• To undertake high-quality research, including contributing to drafting major grant proposals and/or leading in drafting small grant proposals;
• To develop and extend mathematical and economic models of contact-transmissible infectious diseases.
• To support ethics applications;
• To contribute to peer-reviewed publications and other outputs, including as lead author;
• To collaborate with modellers, economists, and epidemiologists at NUS and other institutions.
• Contribute to drafting grant proposals and co-authoring publications.
• To review the latest research on contact-transmissible infectious diseases regularly.
• To disseminate research findings through presentations at international conferences and meetings with key partners (e.g., WHO).
• To contribute to the broader research community through journal and grant reviews.
• To participate in mandatory NUS training and keep abreast of advancements in research methods.

Requirements:
• Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science.
• Experience with quantitative research, preferably related to infectious disease modelling.
• Strong analytical and data management skills using electronic medical records, clinical trials, and observational data.
• Experience with statistical software (e.g., R) and programming languages (e.g., R, C/C++, Python).
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively within a team.
• Strong organizational skills and time management.

The following knowledge and experience would be advantageous:
• Experience contributing to research grant applications.
• Experience with teaching and assessment (desirable but not essential).
• Experience with epidemiological modelling of infectious diseases (especially sexually transmitted diseases).
• Experience with data analysis using statistical inference techniques.
• Experience with health economic evaluations.
• Experience with parallel and/or high-performance computing.

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Interested applicants are invited to apply directly at our NUS career portal and submit the following documents by 15 Feb 2025:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

For further enquiries, please contact Dr Kiesha Prem ([email protected]).

Please note that only shortlisted candidates will be contacted.

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

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.

The PI’s research lab focuses on soft electronics, soft robotics, energy conversion and thermal management.

We are looking for a Research Fellow to deliver project milestones for the field of iontronics particularly on energy harvesting, actuator and sensing integration. The role will focus on research on iontronics applications for future energy and soft electronics.

Key Responsibilities

• Interest in iontronics development
• Skills on ionic conducting polymer preparation
• The position requires interdisciplinary skillset, strong communication skills and ability to manage complexity
• Participate in the conduct of research project with research team members to ensure completion of deliverables
• Collaborate with internal and external stakeholder on commercialization potential of the research outcomes
• Mentoring and train junior students in the lab
• Assist in grant writing
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers
• Assist in high quality reports and documents that consolidate research findings

Job Requirements:

• PhD degree in materials science or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in energy harvesting, sensing and actuators
• Familiarity with required scope on flexible electronics
• Good written and oral communication skills in English – essential for research purposes
• Proficiency in materials synthesis, characterization, electrical data measurements and analyses
• Competent in process integration
• Excellent skillsets in fabrication of ionic conducting polymers
• Advanced knowledge in 3D printing and inkjet printing
• Expert in energy harvesting, Passion in sensing and actuators integration
• Interpersonal skill (Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)
• Candidate with prior experience of more than 2 years working on energy harvesting or actuators
• Candidate with prior knowledge on device fabrication and electrical measurements
• Expert knowledge in novel materials for energy harvesting

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

We are currently recruiting a Research Assistant to work in translational respiratory research investigating infectious and immune consequences in chronic inflammatory lung diseases such as asthma, COPD and bronchiectasis. The individual should have a track record in molecular biology techniques such as DNA/RNA extractions & RT- PCRs. and should be comfortable in handling patient derived specimens. The individual should be able to work independently, multi-task & work collaboratively in a cross-disciplinary research environment.

Successful candidates will have the opportunity to work with an international and multidisciplinary team of investigators including close collaborations with respiratory and infectious disease clinicians nationally and the other schools within the wider NTU community where the lab already has existing collaborative projects.

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

Key Responsibilities:

Laboratory:

• Ensure that lab is adequately stocked with clean glassware, chemicals, etc. required for experiments
• To operate and maintain microbiome & other lab equipment
• To perform biological sample processing, DNA extractions, PCRs, basic microbiological techniques
• To perform daily lab management tasks such as inventory of supplies and samples, preparing sample processing media and solutions, ordering supplies and stocks, general housekeeping
• Ensure that standard operating procedures and safety regulations are followed
• To perform other related duties

Administrative:

• Maintain a systematic record of all purchases & track sources of funding
• Liaise with vendors and administrative office to ensure proper purchase requisitions, goods delivery and prompt payment of supplies
• To prepare lab for safety audits and maintain and update lab safety folder and inventories
• To assist post docs with conducting research studies by preparing sample packs, study questionnaires etc., coordinate and work closely with research teams from multiple sites across Singapore

Key Requirements:

• Degree in life sciences or equivalent in any relevant field of molecular biology
• Expertise in molecular and microbiological laboratory techniques
• Basic level Microsoft Excel & PowerPoint skills
• Good written and oral communication skills
• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details/ excellent organizational / time management skills

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Conduct research on computer vision, deep learning and AI, addressing a wide range of challenges in deep learning, computer vision, AIGC, graphics, large multi-modality models, diffusion models, video generation, 3D generation, video understanding, self-supervised learning, and autoregressive models.

- Explore the application of large-scale/super-large-scale visual foundation models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

- At least 3 years of working experience in research or with relevant working experiences;

- Possess research and practical experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, large-scale training and RLHF.

- Proven track record of high-impact research.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

- Possess coding skills in C/C++ and Python.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

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.

Key Responsibilities

• Study correlated twisted materials and other topological quantum materials with strong correlations
• Predict nonlinear responses of quantum materials
• Provide theoretical support for our experimental collaborators
• Work collaboratively and train junior lab members

Job Requirements

• PhD in Physics
• Self-motivated with solid background in group theory
• Related research experience in topological quantum materials
• Able to work as a team and independently in an interdisciplinary team
• Published at least 1-2 publications as a first author in top international peer-reviewed journals

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information).

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

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a Research Fellow with strong expertise and publication record in algebra, combinatorics, finite geometry, or a closely related area of mathematics.

Key Responsibilities:

• Propose methods to tackle open problems concerning optimal configurations in finite geometry
• In cooperation with PI and Co-PI, carry out numerical studies to identify promising directions for constructions and nonexistence results for equiangular tight frames
• Produce mathematical proofs for conjectures that arise from numerical studies

Requirements:

• PhD in mathematics
• Deep knowledge in algebra, combinatorics, finite geometry, or a closely related area of mathematics
• Good track record of publications in algebra, combinatorics, finite geometry, or a closely related area of mathematics

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

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

Key Responsibilities:

• The successful candidate will be expected to help manage our mouse colony (implementing and managing complex breeding regimes, weaning, time-pregnancies, surgeries, tail clipping etc.).
• The candidate will be expected to perform these tasks independently after the requisite training has been given.
• In addition, candidate will assist research fellows with performing standard lab work and experimental mouse procedures, including tissue processing, histology and cell culture, as well as contributing to general lab tasks.

Key Requirements:

• Degree in Biological Science and Life Science disciplines or equivalent.
• Prior experience in working with mice is highly advantageous, but not essential.
• Successful candidates should have a passionate enthusiasm for research, be self-motivated, highly organized, enjoy working as a team and have good communication skills.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in transition metal catalysis at the Zhong Group. CCEB is a newly established interdisciplinary joint school under College of Engineering and College of Science at NTU Singapore. The Zhong group works at the interface of organometallic and organic chemistry to develop new generations of transition metal catalysts and reagents for novel organic transformations.

The Research Fellow will take on a significant role in conduct cutting-edge research in transition metal catalysis and organic methodology.

Key Responsibilities:

• Conduct routine lab research and data analysis in organic chemistry and organometallic chemistry.
• Assist in instrument installation and maintenance, and acquisition of lab consumables.
• Mentor junior researchers and teach organic chemistry lab skills, oversee lab safety.
• Present research progress in group meetings and private meetings.
• Organize results for publications.

Job Requirements:

• PhD in organic chemistry
• At least 5 years of experience in synthetic organic chemistry and/or asymmetric catalysis as PhD/post-doc in advanced institutions.
• Solid analytical skills including NMR, mass spec, chiral GC/HPLC, polarimeter, IR, UV/VIS, etc.
• Experience in handling air-sensitive compounds with Schlenk techniques or glovebox.

We regret that only shortlisted candidates will be notified.

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

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

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.

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations
• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics.
• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding.
• Enthusiasm, good communication skills, and being able to conduct independent research.

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

We are looking for a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The position will focus on modeling the dynamics and fabricating cryogenic components for the superconducting levitation of ferromagnetic particles.

This levitated, freely precessing particle forms a system of correlated spins, capable of rapidly averaging out quantum uncertainty. By harnessing this system, we aim to develop quantum sensors with sensitivities that exceed the standard quantum limit.

This position is based in the Quantum Innovation Centre (Q.Inc) and Institute of Materials Research and Engineering (IMRE). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Learning to operate a dilution refrigerator

Job Requirements:

• Bachelor's or master’s in physics, Applied Physics, Precise Instrumentation, or related fields
• Past experience in the job activities listed above is preferred, but a strong willingness to learn is sufficient. Trainings will be provided.
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Basic programming skills (e.g., Python, MATLAB)
• Mechanical design
• Ability to work as a team and communicate effectively

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

An exciting opportunity has arisen for a highly motivated Research Associate to join the multidisciplinary CDU team to work on the design, implementation of programs, and leading research teams and assisting CDU Principal Investigators in research related to child development.

Job Responsibilities:

Undertake a variety of research-related activities including but not limited to:

• The design, planning, and execution of research projects using quantitative, and qualitative methods.
• Coordination and project management activities.
• Contributing to the writing of research reports, peer-reviewed publications and proposals.
• Dissemination activities at internal and external meetings and conferences.
• Working closely with the team lead, cross-disciplinary research teams and local and/ or international collaborators.
• Working closely with children, families, and stakeholders from across the early childhood sector.
• Supervision of research students, interns and research assistants where required.

Qualifications

• Master's Degree in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or a related discipline.
• Research experience demonstrating cross-disciplinary integration.
• Keen interest in the area of early child development and/or health behaviours.
• A strong grounding in quantitative, qualitative and/or behavioural research methods and data analysis.
• Evidence of peer-reviewed publications
• A team player with an ability to work independently
• Excellent command of spoken and written English
• Highly motivated, proactive, and goal-oriented
• Experience working with children and/or families and an interest in applied research is an asset for this position.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Nutritionist will be responsible for developing and implementing nutritional programs, conducting research, and analyzing data to support our health initiatives. This role requires a strong background in nutrition science and proficiency in data management and analysis tools.

Key Responsibilities

• Develop and implement personalized nutrition plans for clients based on their health needs and goals.
• Conduct nutritional assessments and provide evidence-based dietary recommendations.
• Collect, manage, and analyze nutritional data using various data management tools and software.
• Interpret data to identify trends and insights that can improve nutritional programs and outcomes.
• Collaborate with healthcare professionals, researchers, and other stakeholders to support nutritional research projects.
• Prepare detailed reports and presentations on nutritional findings and recommendations.
• Stay updated with the latest research and advancements in nutrition science and data analysis techniques.
• Educate clients and the community on nutrition and healthy eating habits through workshops, seminars, and written materials.

Qualifications

• PhD degree in Nutrition, Dietetics, or a related field.
• Certification as a Registered Dietitian Nutritionist (RDN) or equivalent.
• Proven experience in data management and analysis, preferably in a healthcare or research setting.
• Proficiency in data analysis software (e.g., SPSS, SAS, R) and data visualization tools (e.g., Tableau, Power BI).
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a multidisciplinary team.
• Strong organizational skills and attention to detail.

Preferred Qualifications

• Knowledge of statistical methods and research design.
• Experience in public health nutrition or community nutrition programs.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for a Research Fellow to support the research for the project titled: Resistive Memory Endurance Enhancement Utilizing Smart Mitigation and Recovery Techniques.

Key Responsibilities:

The Research Fellow will work on the assigned project to conduct the research on development of resistive circuits design. The candidate must have good experience in the areas listed below, possesses excellent skills. The roles of this position include:

• Development of robust resistive circuits design
• Test chip design and layout
• Good testing skills

Job Requirements:

• PhD degree in Electrical and Electronic Engineering or related field
• Expertise in resistive memory circuits design
• Excellent publication track record is an advantage
• Test chip design and testing experience are advantages
• Excellent verbal and written communication skills

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assistant Professor Andrea Phua’s lab on a range of projects, primarily “ Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility”.

The main responsibilities of the position include:

• Performing confocal fluorescence microscopy experiments
• Conducting computational image processing and analyses
• Establishing and executing technical workflows for brain tissue processing in visualizing spatial protein and gene localization

Qualifications

The candidate should hold a Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biochemical Engineering or a related field.

Skills:

• Strong interest in neuroscience research, with motivation to pursue further academic training in the field
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Demonstrated track record in confocal fluorescence microscopy and associated super-resolution techniques
• Proficient in image processing techniques (e.g. deconvolution, denoising) to enhance image resolution and quality for visualization and quantification
• Experience in implementing machine learning techniques for automated detection and quantification of events in microscopy images is required
• Familiarity with immunofluorescence and RNA-FISH techniques
• A good foundation in biostatistics, with the ability to apply statistical methods to analyze experimental data will be necessary
• Some experience in microfluidic device fabrication will be a plus

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for experienced individuals with a strong background in thermal energy systems, computational modelling, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced thermal energy storage solutions and computational techniques, focusing on discovering novel materials and optimizing energy systems through CFD and machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

• Develop new materials for energy storage and thermal management.

• Lead in experimental work, design and conduct experiments to validate the discovery.

• Assist or conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development

• Assist or conduct artificial intelligence (AI) techniques for material discovery and/or device design

• Conduct other required works by the PI

• Write scientific papers/technology/reports and other work-related documents

Key Responsibilities:

• Develop new energy storage materials.
• Design experimental facilities and conduct experiments for energy storage technologies.

Job Requirements:

• PhD degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

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

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.

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Project Overview

This research project aims to grasp dynamic changes in hotel capital investments and their influences on tourism-related local businesses before, during, and after the pandemic on two geographic scales -- region (Asia-Pacific) and city (Singapore). This aim is outlined by the following three objectives:

• Examining the significance of sustainable development attributes in explaining the spatial distribution of new hotel development projects across selected cities in the Asia-Pacific region;
• Estimating the influences of new hotel development projects on the establishment of tourism-small business enterprises within and around hotel districts in Singapore; and
• Drawing evidence-based policy implications along with specific measures for cities to rebuild and expand the capacity of urban tourism in the Asia-Pacific region and Singapore.

Job Description

The Research Assistant (one-year contract) will undertake the following research activities:

• Meeting with the principal investigator (PI) and team members regularly;
• Supporting the progress of key tasks;
• Collecting and organizing international hotel investment and other urban spatial datasets
• Visualizing multiple urban tourism, transport, environment, and economic attributes on a geographic information system (GIS) platform; &
• Developing hotel location choice and small business birth models
• Exploring new software applications for spatial data analyses.

This Research Assistant position will be arranged based on the Urban Planning & Economic/Environmental Policy Research Team, led by PI Prof. Jin Murakami, with support from the Humanities, Arts and Social Sciences (HASS) Cluster/Green Economy and Sustainability Initiative in SUTD.

Requirements

• Bachelor degree in Urban Planning, Environmental Studies, Economics, Business, Civil Engineering, Systems Engineering, Information Science, or related fields*
• Strong data management and quantitative analysis skills
• Proficiency with programing, coding, and/or statistical software (e.g., Python, R, STATA)
• Knowledge and experience of GIS software applications (ArcGIS and/or QGIS)
• Interest in data visualization skills – preferred
• Sufficient report writing and communication skills in English

To Apply

Interested applicants should email:

(1) a cover letter expressing specific interest in this position.

(2) a detailed CV with information on (i) education qualifications, (ii) working

experience, (iii) list of publications, (iv) name/title/contact of at least one reference, and (v) citizenship status.

(3) any writing sample to Dr. Jin Murakami at [email protected]. Subject should indicate: Full-time Research Assistant – Urban Tourism Research

We regret that only shortlisted candidates will be notified.

Job Responsibilities:

• Manage research data and keep up-to-date research records, be able to perform data analyses and critically interpret generated data, and summarise research findings
• Search and sort out literature and database, identify key findings of previous research, and be able to paraphrase and consolidate key concepts of literature
• Conduct data collection independently (survey, classroom observation, FGD, interview, spoken and written language data)
• Process and generate descriptive data from surveys, classroom observation, FGDs, interviews and corpora independently
• Be able to construct teaching plans or test items independently
• Be able to design research tools for school-based project
• Project administration tasks such as scheduling and liaise with schools
• Be able to develop and maintain co-operative working relationships with Principal Investigator, colleagues and collaborators, be able to give feedback and share ideas or experience with others, and resolve problems in most situations
• Be able to report clearly on design and progress of research project
• Write research reports and papers, and be able to produce relevant write-ups for proposals under PI’s supervision

Job Requirements:

• Master’s degree or equivalent
• Excellent organizational skills and able to work independently within given deadlines
• Experience in working with teachers and students in Singapore schools
• Excellent problem-solving skills and project management skills
• Basic statistical knowledge and skills
• Good theoretical knowledge of research designs in general
• Good IT skills
• Strong interpersonal, written and verbal communication skills in both English and Chinese, to liaise with Chinese-speaking associates
• Basic knowledge in Chinese Linguistics and Language Teaching and Learning

(All applications will be in strict confidence. We regret that only short-listed candidates will be notified.)