Total 727 research nurse job vacancies in Singapore

Responsibilities

• Plan and provide nursing care to meet the patients' needs
• Maintain accurate and up-to-date documentation of patients, treatments and conditions
• Assist in supervision of junior nurses and ancillary staff

Requirements

• Registered with the Singapore Nursing Board
• Minimum 1 year’s ward experience
• Good interpersonal skills, with the ability to relate well to people of all levels
• Able to perform shift duties

• Checking patient's vital signs and talking to them to assess their condition
• Overseeing the dialysis treatment from start to finish
• Making sure patients are given the correct medications ordered by their doctors
• Participate in the development and implementation of the patient’s short- and long-term plan of care and monthly progress notes

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

EA License No: 20C0270

EA Personnel No: R22110981

EA Personnel Name: Law Mei Fong

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 ward

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

COMPANY DESCRIPTION

With a capacity of around 430 beds, Peacehaven provides compassionate, individualized, holistic care to all without discrimination. We offer a comprehensive gamut of services to care for the sick, frail and elderly who have physical or mental disabilities with minimal or no appropriate caregiver support at home.

Peacehaven has also been awarded the bizSAFE level 4 status which affirms our commitment to safety and health standards at the workplace.

The Salvation Army, Singapore - Peacehaven Nursing Home

RESPONSIBILITIES

Assist Manager in assessment, planning, implementation and evaluation of nursing care and service delivery. To maintain accurate records of care, participate in orientation and in-service education programs and supervise other staff as required.

Clinical Care

• Work under supervision of Manager to analyse, plan, implement and evaluate nursing. care for residents. Coordinate and implement care plans for the residents.
• Pack and serve medication and update residents/clients medical records.
• Conduct rounds to ensure residents are well and safe and report any abnormality for immediate/timely treatment and follow up with supervisor.
• Carry out changes made during medical consultations and update progress notes.
• Identify problems related to illness and decline in functional, cognitive abilities and advocate early medical attention.
• Support the care staff in attending to the needs of the residents for activities of daily living.
• Supervise and carry out complex procedures as required.
• Be familiar with all aspects of nursing care and emergency evacuation procedures to be able to attend to emergencies that may arise.

Quality

• Assist and supervise activities and rehabilitation programmes to enhance the quality of life for residents.
• Maintain systematic inventory control of drugs in RLA and all assets acquired in order to achieve optimal utilization and safe storage.
• Practice proper decontamination procedure and infection control and ensure safe custody of residents.
• Promote effective and co-operative working relationships in an interdisciplinary team within the RLA and with all the internal and external customer groups to deliver quality service to residents and visitors. Utilize good communication skills to develop and maintain productive relationships within RLA, with other departments, disciplines agencies and the public.
• Participate in multidisciplinary meeting, quality improvement programs, organizational committees, workgroups activities.

Training & Development

• Supervise and guide staff in their duties. Evaluate and discipline the performance of all staff within scope of responsibility.
• Educate, train, and supervise residents, families and caregivers. Provide health education to residents and families.
• Orientate new staff of professional and non-professional nursing personnel.

Others

• Attend regular nursing and department meetings that affect policies relating to delivery of health care services.

Bachelor of Nursing degree

Job Requirements

• Registered with Singapore Nursing Board
• Good interpersonal and communication Skills with people of all levels
• Demonstrate skill and knowledge in the eldercare sector

Working Hours

44 hours per week

Shift duty according to nursing roster

Working Location

9 Upper Changi Road North Singapore 507706

COMPANY DESCRIPTION

With a capacity of around 430 beds, Peacehaven provides compassionate, individualized, holistic care to all without discrimination. We offer a comprehensive gamut of services to care for the sick, frail and elderly who have physical or mental disabilities with minimal or no appropriate caregiver support at home.

Peacehaven has also been awarded the bizSAFE level 4 status which affirms our commitment to safety and health standards at the workplace.

The Salvation Army, Singapore - Peacehaven Nursing Home

RESPONSIBILITIES

• Assist the Staff Nurse in the assessment, planning, implementation, and evaluation of nursing care and service delivery.
• Lead, mentor, guide, and support staff members in caring for residents, drawing from training received under Industry Skill Certificate, Institute of Technical Education, or equivalent approved courses.
• Assign roles to team members for each shift, ensuring efficient distribution of responsibilities.
• Ensure the adherence to schedules regarding residents' needs and actively engage residents in a variety of activities.Demonstrate the ability to identify abnormalities, including monitoring behaviors of concern, and promptly escalate them to the designated staff.
• Maintain the standards of care as per the policies and procedures of the Organization.

Diploma in Nursing

Job Requirements

• Valid practising license as an Enrolled Nurse with the Singapore Nursing Board.
• National Institute of Technical Education (ITE): Certificate in Nursing or its equivalent.

• Dynamic and good team player.

• Good interpersonal and communication skills.

Working Hours

44 working hours, 6 days a week

Working Location

The Salvation Army Peacehaven Nursing Home

9 Upper Changi Road North Singapore 507706

Job Description & Requirements

• Manage and plan the care management of individual patient using the 4-prong Systematic Approach to Nursing Delivery comprising Assessment, Planning, Implementation and Evaluation.
• Participate in Physician rounds and carry out treatments/investigations.
• Participate in action plans for the unit to enhance employee engagement and maximise employee performance.
• Maintain current trends in nursing practice and management through formal education and self-development.
• Ensure customer satisfaction, resolve and follow through quality/service class.
• Demonstrate competency in nursing core & special skills.
• Supervise junior nursing personnel in providing quality nursing care.
• Peform duties as assigned by the Nurse Manager.
• Diploma in Nursing/Degree Qualification.
• At least 3 years of Staff Nurse II experience in an acute hospital setting is advantageous.
• Registered with Singapore Nursing Board.
• Excellent interpersonal Skills
• Good customer service skills.
• Good telephone etiquette.

Reporting to the Nurse Manager, the Enrolled Nurse is required to work in a multi-disciplinary team to provide palliative care to patients with terminal illness and end-stage organ failure. You will assist the Staff Nurse in performing comprehensive palliative care assessment for our patients with terminally illness and end-stage organ failure and provide guidance and supervision of new Nursing Aides and participate in quality improvement activities.

Requirements:

• Nitec / Certificate in Nursing
• Valid Practicising License with Singapore Nursing Board
• Minimum 2 years in clinical experience and palliative care setting
• Ability to work independently and as a team member
• Possess good communications and interpersonal skills
• Good knowledge of MS Office applications (Word, Excel, PowerPoint)
• Attentive to details and able to multi-task
• Required to work 3 shifts

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

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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.

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• Lead advanced research in the formulation and processing of functional materials for 3D printing, materials characterization and analysis.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations.

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, or a related field.
• Strong background in materials characterization and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will study, via computational modeling and analytical techniques (reduced-order models) where appropriate, the flow of complex fluids through complex domains, subject to non-linear conditions such as, phase change, and temperature and pressure dependence of the fluid properties.

Qualifications

1. Substantial experience in computational techniques, molecular dynamics, complex flow simulations, advanced numerical methods and large-scale problems.
2. Strong programming and analytical skills are required. Experience in python, Fortran, C++ and parallel computing are a plus.
3. Good publication record in peer-reviewed journals for fluid mechanics.
4. A Ph.D. degree in relevant fields related to Mechanics, Applied Mathematics, Computer Science, and Mechanical Engineering.

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 Research Fellow (Postdoc) will conduct experimental and numerical studies in the field of coastal dynamics, including measurements and numerical modelling of turbulent processes in breaking waves, sediment transport, etc. The tasks involve particle image velocimetry (PIV) or particle tracking velocimetry (PTV) measurements of air-water interaction in a shallow water depth, turbulence in the presence of sediment concentrations, turbulence in wave-current interaction, etc. CFD model will be developed and validated with these experiments.

Qualifications

• Possess a PhD degree with research experience.
• Have with relevant background in coastal, ocean, and hydraulic engineering.
• Prior experience and knowledge of hydraulic laboratory experiments (e.g. with PIV/PTV) and numerical modelling (e.g. with DNS) of turbulent flow structures are preferred.
• Applicants must have a PhD degree and research experience.
• Strong written and spoken communications.
• Strong quantitative and analysis skills.
• Prior experience in publishing good publication record is advantageous.
• Open to fixed term contract

Relocating to Norway, this is full time role .

Our client is a start-up developing solutions to bring small-scale hydropower plants into the future, turning them into flexibility resources for the energy market.

By creating intelligent control systems to coordinate hydro power production and utilise supercapacitors, it enabling these resources to operate in the frequency market and help stabilise the power grid.

You’ll join a team backed by industrial investors and public investment funds.

working along with a dynamic work environment with high skilled scientists from all over the world.

You will involve in building pioneering technology for energy optimization and stabilization of the power grid through advanced software.

Combining physics-based and data-driven modeling with state-of-the-art control and machine learning methods to build cutting edge autonomous solutions.

You’ll dive into complex R&D tasks like:

Modeling the dynamics of hydro power systems and power grid to serve as digital twins for simulation, estimation and control

Developing learning algorithms that fit models to real-world data.

Using models to develop advanced autonomous control solutions.

Creating predictive solutions to optimise operation and detect problems.

Qualifications

You have an engineering degree (M.Sc./Ph.D.) within cybernetics engineering, dynamical systems, optimization, estimation, or control.

You’re fluent in mathematical modeling, coding, automation, control systems, and/or machine learning.

Your expertise lies in fields like parameter estimation, machine learning/AI, nonlinear systems, Kalman filters, Bayesian methods, and adaptive control design.

Knowledge of hydro power, power grid or power electronics technologies are an avantage, but not a requirement.

If you specialise in one or more of these areas, you’ll be a great fit!

Personal Traits We Value:

Someone who are structured and good at planning.

You can break down complex problems into concrete, manageable tasks.

You combine theoretical knowledge with practical problem-solving.

You love team collaboration but also enjoy diving deep into technical challenges.

Motivated by solving the unsolvable, and thrive in a fast-paced, results-oriented environment.

Responsibilities:

• You will be exposed to different social research domains and streams of research methodologies
• Manage client-focused research projects, conduct analysis, and present insights in a visual and impactful manner. At the same time, you will be involved in scripting, sampling, and data processing of research studies.
• Assist in developing new methods of data collection using various software and other data related tools assigned to you at intervals.
• Account Management: Manage client queries, expectations and relationships to ensure client satisfaction
• Design, plan, execute, and manage research projects suitable for client needs
• Scripting of survey questionnaires with logic implementation
• Processing of research data using software with syntaxes and codes
• Monitor quantitative fieldwork and adhering to project schedules / deadlines
• Quality check and audit survey implementation to ensure accuracy of results
• Perform coding of open-ended (free text response) answers where required
• Create highly actionable and digestible reports in PowerPoint
• Present results of study confidently to external clients
• Drive the exploration of new research methodologies and data collection software
• Any other tasks as may be assigned by Head of Department

Requirements

• Minimum Bachelor’s degree (in Psychology / Social Sciences / Mathematics / Statistics / Business / Engineering / numerical fields)
• Strong interest in market research and willing to learn
• Versatile individual with a keen interest to pick up complimentary research skillsets
• Able to work with ambiguity and perform under pressure
• Strong quantitative and data analytical skills required
• Strong communication skills, both written and interpersonal
• Competent in MS Office, with some experience in data collection and/or statistical software e.g. SPSS (must), R, STATA etc. will be plus

Interested candidates, do submit your resume in MSWord to [email protected] or contact 62251232

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

We are seeking to recruit a proactive and motivated research assistant to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research assistant, you will assist with conducting and monitoring microalgal cultivation bioprocesses via analytical techniques to achieve maximal product titres, yields, and rates. You will also assist with processing the microbial proteins for optimal digestibility, flavour, and nutritional profiles. The candidate will work closely with postgraduate and postdoctoral researchers. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Assist in data analysis and preparing formal reports, publications, and presentations.
- Perform general lab housekeeping and maintain safety documentation.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper equipment operation and maintenance.
- Remain updated on current scientific literature related to microbial foods.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- Bachelor’s or Master’s degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Knowledge in any of the following areas will be advantageous: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing.
- Strong verbal and written communication skills in English are required.
- Good communication and interpersonal skills to engage within a culturally diverse and cross-disciplinary team.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Excellent problem solving and analytical skills.
- Meticulous, well-organised, and detail oriented.

ISCE2 is seeking a talented Research Engineer to be part of a dynamic, multi-disciplinary team to develop next generation green and sustainable technology for the biomanufacturing of fine and specialty chemicals. This position offers an opportunity to work enzyme and bioengineering to develop new enzymes for more streamlined manufacturing of complex molecules. The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, enjoy laboratory work, and has excellent communication and teamwork skills. The successful candidate may be responsible for but not limited to:

• Conduct experiments related to molecular biology, including molecular design and cloning
• Perform protein expression in bacterial systems, including molecular cloning, fermentation in bioreactors/shake flasks, and protein separation and immunoassays
• Design, plan and execute experiments based on proposed project scope
• Be comfortable with the use of technology to aid experiments
• Support screening, biocatalysts characterization and hits validation efforts
• Analyze data, interpret results and troubleshoot
• Presentation at regular project meetings and summarize results in reports
• Presentation and review of relevant literature
• Assist in the preparation of scientific communications, publications, figures and posters
• Perform general lab housekeeping
• Other duties as assigned by the manager

Requirements:

• BSc or Masters degree with some laboratory experience, preferably in Microbiology, Biotechnology, Chemical Engineering or Biological Engineering.
• Preferred hands-on experience with microbial culture.
• Experience with bioreactors will be advantageous.
• Preferred hands-on experience with molecular cloning and bioanalytical techniques, such as PCR, SDS-PAGE, LC-MS, Western blot, ELISA or other immunoassays, etc.
• Team player who is self-motivated and enjoy applied research work in a multidisciplinary environment
• Adaptable to team-oriented goals and requirements
• Good problem-solving skills
• Rigorous data analysis and interpretation skills
• Meticulous, attention to details and organized
• Excellent oral/written communication, documentation and organization skills
• Ability to prioritize responsibilities and multi-task

ISCE2 offers a challenging and rewarding work environment with opportunities for career development. If you are passionate about science and sustainability, and want to make a difference in the world, we encourage you 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 NUS Centre for International Law (CIL) is accepting applications for Research Associate for its Energy Law and Policy Programme (ELP). The ideal candidate would be interested in working on globally-oriented energy governance issues with a regional focus, particularly topical issues of a cross-cutting nature. CIL encourages its research staff to develop independent and joint research within its areas of focus. Candidates with interdisciplinary research experience/perspectives are encouraged to apply.

In addition to conducting research, the Research Associate (RA) is expected to assist in planning and organising international and regional conferences, workshops and training courses for government officials; and to be involved in drafting background papers and/or reports for such events.

In the case of cross-cutting issues, the RA is expected to collaborate with other research teams within CIL to ensure efficient and effective research outcomes. He/ She is also expected to contribute to the development and maintenance of an internal knowledge base as well as efforts to keep the CIL website and other research-related social media platforms up to date.

The successful candidate can look forward to working at the forefront of governance issues as part of the global energy transition and contributing to shaping the future of energy governance at both the global and regional levels. CIL also provides opportunities for its research staff to attend regional and international conferences, workshops and symposiums. There would also be opportunities to work with leading international and regional experts in this field and gain valuable exposure to a range of energy governance issues and perspectives. The successful candidates can look forward to joining a small collegial team that values team work and excellence.

Qualifications

• A Juris Doctor (JD) or a Master of Laws (LLM) in international law with a demonstrable interest in energy and/or environmental governance issues and strong research, writing and analytical skills.
• Candidates with strong IT skills and experience creating and managing engaging social media content across various platforms will have an added advantage.
• Candidates with a particular interest in Southeast Asia and its regional institutions are strong encouraged to apply.

Application Procedures

Interested applicants are invited to apply online via the NUS Career Portal with the following documents:

• Detailed curriculum vita
• Cover letter that demonstrates why you should be considered for the relevant position
• Two samples of written work
• Names/contact information of two (2) referees

Applications are assessed on a rolling basis and only short-listed candidates will be contacted. For enquiries, please contact Ms Huong Tam at [email protected]

More Information

About Centre for International Law (CIL)

The Centre for International Law (CIL) was established in 2009 as a university‐level research institute at National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law. As a university-level research institute, CIL is expected to engage in multi-disciplinary research as well as legal research. For more information on the Centre including its vision and mission please see www.cil.nus.edu.sg.

Energy Law and Policy Programme

The Energy Law & Policy Programme is a new programme area which CIL is developing, building on its existing Nuclear Law and Policy Programme which now forms part of the new ELP Programme. The Programme is headed by Denise Cheong, who was previously the head of CIL’s Nuclear Law & Policy Programme. For further information on the Energy Law and Policy team and their projects, events and publications, please visit https://cil.nus.edu.sg/

Nanyang Business School is seeking a full-time Research Associate to work with Professor Sharon Ng in the Division of Marketing. The candidate is expected to assist Prof Ng with on-going research projects, and to work on projects of their own interest. In particular, we seek candidates with interest in understanding how people respond to new technology (e.g., robotics, AR, AI). We are also interested in candidates who may want to explore the intersection of culture and technology. One core aspect of this role will be to help the faculty to design and conduct experiments. The candidate will be included as an author/co-author on publications from the projects.

Key Responsibilities:

• Project management
• Literature review
• Ideation
• Conducting of experiment
• Drafting the paper

Job Requirements:

• Master degree in Psychology, Sociology, Marketing, or related social science discipline. Prior work (including but not limited to dissertation) must involve statistical analyses of survey and experimental data.
• Excellent academic record and work ethic required.
• Excellent written skill is required. The candidate should be able to write a research paper well.
• Enthusiasm for research required.
• Working knowledge of SPSS is necessary. Knowledge of other statistical tool is a plus.
• Prior publication in marketing peer review journals is a plus

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

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Chiba group. The Chiba group in CCEB is pursing development of new synthetic routes that allows for efficient synthesis of biologically active complex organic molecules of pharmaceutical interests.

The Research Fellow will take on a significant role in the development of new molecular transformations utilizing polysulfide anions as photocatalysts for the synthesis of complex molecules.

Key Responsibilities:

• Conduct daily experiments in synthetic chemistry and catalysis.
• Analyze data obtained from experiments
• Oversee the project team to ensure timely progress and achievement of research goals.
• Submit weekly reports summarizing experimental results and progress.
• Present research updates in group meetings through oral presentations.
• Assist in planning and preparing future funding proposals.
• Summarize research findings for paper publications.

Job Requirements:

• PhD in Synthetic Organic Chemistry with more than 5 years’ experience in the relevant areas as graduate and/or postdoctoral fellow level in advanced institutions
• Proficiency in using various analytical equipment such as NMR, Mass Spec, IR, UV-vis and Potentiostat.
• Ability to handle air-sensitive materials and work with transient species in synthetic chemistry

We regret that only shortlisted candidates will be notified.

The Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) in 2013. As a renowned research institute, ATMRI focuses on finding innovative solutions to advance air traffic management (ATM) and catalyze the transformation of ATM systems in the region. The institute is at the forefront of research, integrating advanced AI, data analytics, and human-centered approaches to enable next-generation ATM systems.

We are seeking a highly motivated and independent Research Fellow to conduct innovative research in air traffic management, especially on the application of human factor in interface design for air traffic management.

Key Responsibilities:

• Develop the assessment framework for controller workload, communication and coordination efficiency, and decision making effectiveness when operating under and transitioning from normal and multi-sector planner staffing levels.
• Analyzing and optimizing users' human factor performance to ensure smooth transition between staffing level and effective use of ATM tools.
• Conducting qualitative and quantitative research to collect user feedback by analyzing bio-signal data or questionnaires.
• Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge, communication and collaboration among experts from diverse backgrounds to integrate knowledge
• Spearhead research initiatives, publish in leading journals and conferences, mentor students, and collaborate with academic and industry partners to drive the deployment of next-generation ATM systems.

Job Requirements:

• A PhD degree in human factors, aerospace engineering, operations research, or a related field.
• Proven research expertise demonstrated through publications in SCI Q1 journals and ATM-focused conferences.
• Strong theoretical background in human factors for air traffic management systems.
• Proficiency in programming (Python, C++, MATLAB).
• Excellent English communication and writing skills - for research purposes
• Ability to work independently and as a team leader, managing multiple tasks across research and project objectives.

Join us to contribute to cutting-edge research and help shape the future of air traffic management!

We regret that only shortlisted candidates will be notified.

The Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) in 2013. As a renowned research institute, ATMRI focuses on finding innovative solutions to advance air traffic management (ATM) and catalyze the transformation of ATM systems in the region. The institute is at the forefront of research, integrating advanced AI, data analytics, and human-centered approaches to enable next-generation ATM systems.

We are seeking a Research Associate to conduct innovative research in air traffic management, especially on the application of human factor in interface design for air traffic management.

Key Responsibilties:

• Assists in development of the assessment framework for controller workload, communication and coordination efficiency, and decision-making effectiveness when operating under and transitioning from normal and multi-sector planner staffing levels.
• Analyzing and optimizing users' human factor performance to ensure smooth transition between staffing level and effective use of ATM tools.
• Conducting qualitative and quantitative research to collect user feedback by analyzing bio-signal data or questionnaires.
• Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge
• Publishing in top-tier journals and conferences, mentoring students, and collaborating with industry and academic partners to deliver impactful results.

Job Requirements:

• A Master’s degree in Human Factors, operations research, or a related field;
• Domain knowledge in ATM is highly advantageous.
• Strong research contributions, evidenced by publications in SCI Q1 journals and peer-reviewed conferences.
• Proficiency in programming (Python, C++, MATLAB).
• Excellent English communication and writing skills - for research purposes
• Capable of managing multiple tasks effectively, both independently and as part of a collaborative team.

Join us to contribute to cutting-edge research and help shape the future of air traffic management!

We regret that only shortlisted candidates will be notified.

Dementia Singapore is seeking a creative and dynamic Senior Executive to help grow DementiaHub.SG – Singapore’s first one-stop resource portal on dementia. Dementia Hub is positioned as a community-facing resource platform providing credible informational support to persons with dementia, caregivers, care practitioners and the community to navigate through the dementia journey and bring about a more dementia-inclusive society.

In this role, you play an active and pivotal role to write and publish useful content and continuously improve the quality of resources and interactive experience of the portal. You will be responsible for helping the team to build a stronger online presence through the creation and dissemination of high-quality content to captivate and engage readers who have been impacted by dementia.

Job Responsibilities

• Write, proofread, and publish articles for the website, research/evaluation reports, and other resources covering the latest developments in dementia care and research. This would include evidence-based practices, innovative research tools, and techniques, all contributing to the resource portal.
• Proactively identify and explore emerging topics within communities impacted by dementia to ideate and deliver refreshing new content themes to support these communities.
• Partner with key collaborators and stakeholders to co-author articles and create dementia-related resources. This involves both strategic planning and the production of content that addresses the needs of the dementia care community.
• Manage administrative tasks, which includes documenting the notes of meetings, managing project schedules, coordination of project activities, monitoring and documenting the services provided, and billing.
• Provide research support for projects including literature review, conducting of focus groups, interviews and surveys, data analysis, and interpretation of findings.
• Assist in the preparation of evaluation/research reports, and presentations to stakeholders.
• Any other duties as assigned.

Requirements

• Hons / Degree in Psychology, Social Sciences, Gerontology or Health-related fields with at least 3 years of relevant working experience of similar role.
• Strong written communication skills, including academic and report writing.
• Strong interpersonal and oral communication skills.
• Excellent organisational and time management skills.
• Experience in data collection for qualitative research studies preferred.
• Positive self-starter and comfortable with ambiguity and change.
• Able to work independently and a responsible team player.

About The Role

Senior Analyst Fundamental Research Asia Pacific is an operational role and is part of the department Financial Markets Asia/Pacific.

This position is active in providing fundamental research on covered bonds and financial institutions for clients in the capital markets business in Asia/Pacific and Europe. It serves as the central contact for research topics in Asia/Pacific. Additionally, it develops research topics to meet the department's objectives and the objectives of LBBW Research, while maintaining relationships with internal and external stakeholders and between Asia Pacific and Head Office.

Main Tasks/Responsibilities

1) Fundamental Research Analyst for Financials/Covered Bonds

• Responsibility, ensuring coverage in terms of both quality and quantity and publication of Research on the following topics:

1. Covered Bonds in general and covered bond programmes of selected jurisdictions
2. Selected Financial Institutions
3. Research for primary market transactions

• Responsibility for regulatory issues related to covered bonds and financials.
• Responsibility and development of Covered Bond Research of LBBW Research
• Marketing and presentation of research results in Asia/Pacific and Head Office.

2) Multiplicator role for Research in Asia/Pacific

• Responsibility as the primary point of contact for research-related topics at the LBBW Singapore Branch; Leverage established networks: internally (e.g., Sales, DCM, LBBW AM in Head Office); externally (e.g., rating agencies, associations).
• Representing Research in Financial Markets Asia/Pacific externally and internally and in LBBW Head Office.
• Holding regular and ad-hoc meetings with relevant colleagues in Financial Markets Asia/Pacific and Head Office to coordinate research tasks
• Support function for research-related activities of DCM APAC
• Responsibility and development of research topics for the Asia Pacific client base in cooperation with the relevant reporting lines
• Support with Research to LBBW’s strategic Asia related initiatives

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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.