Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, the Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between the University of Cambridge, Nanyang Technological University and the National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

The project:

In the context of the multi-partner project HYCOMBS (https://www.cares.cam.ac.uk/research/hycombs/), which is part of Singapore’s CREATE investment in Decarbonisation (https://www.nrf.gov.sg/files/Media_Release_CREATE_Decarbonisation_Challenge_with_ANNEX_A__B_final.pdf), a large number of positions have become available to research hydrogen and ammonia combustion.

The project is a collaborative effort between CARES, CNRS, NTU, NUS, NTNU (National Technical University of Norway) and Tohoku University (Japan). All the positions are held in Singapore and will normally last 2 years in the first instance, with the possibility to extend if funding is available. The successful candidate will be working under the academic supervision of one of the project’s partners depending on the particular skills and interests of the researcher. Short stays in Japan, France and Norway for working in the partner laboratories are envisaged for some of these positions. In the first instance, your application will be reviewed by CARES and re-directed to the appropriate institution and Primary Investigator.

CARES: www.cares.cam.ac.uk

Tohuku University: https://www.ifs.tohoku.ac.jp/eng/

CNRS: https://www.cnrsatcreate.cnrs.fr/

NTNU: https://www.ntnu.edu/ept

NUS: https://cde.nus.edu.sg/me/

NTU: https://www.ntu.edu.sg/mae

Who are we looking for?

We are seeking highly motivated combustion researchers to work in the following areas:

1) Kinetics: (i) Experiments with flow reactors and laminar flames. The successful applicant will be skilled in analytical combustion chemistry systems such as gas chromatography and laser detection; (ii) Development of detailed and reduced chemical mechanisms. Experience in combustion chemistry modelling is needed.

2) Laminar and turbulent flame fundamentals: (i) Experiments with laminar pulsed and turbulent swirl flames. Skills in flame rig design, laser diagnostics and optical methods for flames are needed. (ii) Modelling with combustion Computational Fluid Dynamics (DNS, LES), with experience in the fundamentals of turbulent combustion, CFD and massively-parallel computations.

3) High-pressure combustion: Experiments and simulations for reciprocating engines and gas turbines. For the experimental positions, the successful candidate must be skilled in optical diagnostics, engine combustion, swirl combustion, fluids handling and data analysis. For the modelling positions, experience in CFD of engines or gas turbine combustors is a prerequisite.

4) Detonations and ignition risk analysis with CFD. The position involves high-order CFD methods for capturing detonations and turbulent flow analysis for ignition. The successful candidate must be experienced with CFD.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D. The experimental positions need strict adherence to Health & Safety protocols and experience in developing experimental facilities at a professional level.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-hycombs. If you have any questions, please feel free to reach out to the HR team at [email protected].

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:

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

Tasks may include the following:

• Conduct technical and policy reviews focusing on the global energy landscape, hydrogen economy, hydrogen technologies, and supportive policies.
• Perform techno-economic analyses on energy supply chains using mathematical tools.
• Write reports and publish articles in reputable academic journals.
• Perform administrative duties, which include organizing seminars, workshops, and conferences, along with fulfilling other responsibilities as assigned by the Head of Division or Principal Investigator.

Job Requirements

• Possess a master’s degree in energy systems modelling, engineering, or a related quantitative research field.
• Have a deep understanding of and interest in energy and environmental issues, notably the hydrogen economy, hydrogen supply chain, energy security, renewable technologies, and decarbonization strategies.
• Capable of working independently and in collaboration with team members.
• Experience in energy systems modelling, techno-economic analysis, Python programming, or life cycle analysis would be beneficial.
• Relevant practical experience in industry or government agencies within the energy and environmental sectors in Singapore would be highly valuable.
• A track record of publications in reputable journals related to energy, environment, and/or systems modeling would be an advantage.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

We are seeking a dedicated and experienced Assistant Nurse Manager to join our team at St. Andrew's Nursing Home (Tampines North). The ideal candidate will be a senior staff nurse with extensive clinical experience and a robust background in infectious control. This role offers an exciting opportunity for a seasoned professional looking for a new challenge in a leadership capacity.

KEY RESPONSIBILITIES

• To oversee the team of registered and enrolled nurses, nursing aides and healthcare assistants

Quality and Patient Safety

• Responsible for compliance of all nursing standards as stipulated by Ministry of Health (MOH) and Singapore Nursing Board (SNB)
• Lead quality assurance activities to monitor and evaluate the quality and appropriateness of nursing care. Ensures quality audits are planned and conducted periodically. Follow up with areas for corrective improvements
• Promote evidence-based practices or nursing care delivery
• Ensure written policies and procedures and work process are available and up to date to guide the nursing care delivery

Care Delivery

• Ensure the smooth transition of residents from acute to chronic care and back to the community, where possible
• Direct care of the residents to ensure compliance to standards

Infection Control:

• Develop, implement, and monitor infection control policies and procedures in compliance with national guidelines and best practices.
• Conduct regular audits and assessments to ensure adherence to infection control protocols and address any compliance issues.
• Provide training and education to staff on infection control practices and emerging infectious diseases.
• Investigate and manage infection outbreaks, coordinating with relevant health authorities as necessary.

Staff Resources

• Ensure appropriate skills mix and adequate manpower resourcing for all shifts and types of services

Staff Development

• Direct and facilitate staff development, skills and competency upgrading through various opportunities. These may include formal education, in-house training or approved online learning programmes
• Guide orientation/induction programmes and preceptorship for all new staff
• Support the Nursing Director in nursing home management and deputizes in her absence

Qualifications:

• Education and Licensing:Bachelor of Science in Nursing (BSN) or equivalent.
  Registered Nurse (RN) license with the Singapore Nursing Board (SNB).
  Certification or training in infection control is highly desirable.
  Basic Cardiac Life Support (BCLS) certification is required.
  
• Experience:Minimum of 5 years of clinical nursing experience, with at least 2 years in a senior staff nurse or leadership role.
  Proven experience in infection control and management, including handling infection outbreaks and implementing infection control protocols.
  Demonstrated experience in a managerial or supervisory role, preferably in a hospital or healthcare setting.
  
• Skills and Competencies:Strong leadership, organizational, and interpersonal skills.
  Excellent communication and problem-solving abilities.
  Proficient in clinical assessment, patient care, and infection control practices.
  Ability to work effectively under pressure and manage multiple tasks.
  

Additional Information:

• Work Hours: Monday - Friday

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.

MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world’s leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.

Job Location: Neuros

Job Summary

The Genomics lab is looking for a Research Scientist, whose main focus is to develop NGS workflow for academic and clinical research service, and train technical personnel, leading to the implementation of these new workflow in a commercial service lab environment. The appointment holder is expected to have advanced degree with working experience in NGS technologies. The ideal candidate would be well-balanced between having the discipline to work in a commercial service laboratory environment, and a passion for translating innovative, newly developed laboratory tests for commercial implementation.

Roles and Responsibilities

• Lead the molecular assay development and validation efforts in a commercial service lab setting.
• Demonstrate hand-on leadership to successfully implement NGS service workflow in the commercial service laboratory.
• Design, plan and execute validation tests, establish QC criteria, write validation plan and report.
• Lead the SOP writing and technology transfer to the operations team.
• Propose and implement process improvements and EQA.
• Work closely with other Scientists and Product Managers to provide scientific inputs related to company products and testing services.
• Support other commercial activities as required.

Desired Skills & Competencies

• PhD. in related Science background with 1 – 2 years’ experience in molecular biology or related field.
• MSc. in related Science background with 3 – 5 years’ experience in molecular biology or related field.
• Demonstrated independent research & development work in a molecular biology lab setting.
• Strong understanding and working experiences on NGS technologies is highly desirable.
• Experience in developing and implementing new molecular assays in a commercial service laboratory is an added advantage.
• Experience in single cell sequencing will be added advantage.
• Be a ‘hands-on’ person who welcomes challenges, works independently or as part of a team, and can communicate effectively at all levels.

We appreciate your interest in the above-mentioned position, however, due to overwhelming response, only shortlisted candidates will be contacted.

Summary:

Being a new entrant in Singapore's R&D landscape, Skywork AI Singapore is dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation models and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. The work on Agents delives into both virtual and physical agents, propelling us into the forefront of AGI development.

Skywork AI Singapore is partnering with universities in Singapore, to invite motivated candidates to enroll in a PhD program and work at Skywork AI Singapore. Successful candidates will become full-time employees of Skywork AI and should qualify to be admitted into the PhD Programme at one of the universities in Singapore.

Candidate's Expectation:

• Work with our research scientists to conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community
• Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into business products

Desirable Experience:

• Demontrate a strong interest in a career in computer science
• Keen to study and perform research in areas such as Artificial Intelligence, Computer Vision, Deep Learning, Game AI, Natural Language Processing, Reinforcement Learning, and Speech Recognition. (Preferably but not limited to)
• Proficiency in differentiable programming frameworks such as PyTorch, TensorFlow, and JAX
• Possessed Bachelor's or Master's Degree in Computer Science/Engineering, Statistics, Mathematics, Data science, or related fields is highly desirable
• Not a recipient of, or hold any other scholarship or other award of a monetary nature (Excluding bursary and financial aid);
• Must meet the postgraduate admission and academic requirements
• For existing PhD candidates, must be 2 years or less into the postgraduate program

IPP trainees will be able to enjoy the following benefits:

• A Monthly salary of SGD6,000, in addition to CPF (for citizens and PRs), Medical Insurance, and many employment perks
• Sponsorship of tuition fee for 4 years
• Conference and travel allowances
• Computing equipment and GPU resources

Apply:

Interested candidates may send the latest Curriculum Vitae, transcripts, motivation letter and publication list to [email protected] to explore this exciting opportunity. Kindly indicate in your motivation letter, the University and intake that you have applied to e.g. NUS August 2025 intake.

We are committed to fostering diversity and welcome candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab.

JOB DESCRIPTION – VETERINARY NURSE

· Responsible for ensuring the safe and effective administration of anaesthesia and monitoring of animals undergoing surgical or diagnostic procedures e.g. MRI imaging. The role involves working closely with veterinarians and other veterinary nurses to provide high standards of care for animal patients.

▪ Perform general anaesthesia for companion animals including exotics species inclusive but not limited to birds, rabbits etc.

o Assess animals pre-operatively, including reviewing medical history and evaluating health status for anaesthesia suitability.

o Prepare and calculate accurate doses of anaesthetic drugs as per the veterinarian’s instructions.

o Perform nursing duties such as placing catheters, preparing patients for general anaesthesia.

o Set up and maintain anaesthesia equipment, ensuring proper functionality and safety.

o Assist in the induction, maintenance, and recovery of animals under general anaesthesia.

▪ Perform general anaesthesia monitoring for patients

o Monitor vital signs (e.g., heart rate, respiration rate, blood pressure, oxygen saturation, temperature) during anaesthesia and report any abnormalities to the veterinarian. Be competent in using multiparameter monitors.

o Implement appropriate corrective measures during anaesthesia as directed.

o Ensure smooth recovery post-anaesthesia, including close observation of animal behaviour and vital parameters.

o Administer pain relief medications as prescribed and provide comfort to animals during recovery.

▪ Equipment Management

o Clean and perform regular maintenance checks of anaesthetic equipment and report any malfunctions or need for repairs.

▪ Post general anaesthesia recovering of patients

o Ensure patients are well recovered from general anaesthesia.

o Ensure patients are transferred fully to other departments post general anaesthesia.

▪ Administrative Duties

o Perform stock taking of inventory and drugs and maintain accurate and detailed records of drugs administered, medical records and equipment status.

o Ensure controlled drugs inventory are well maintained and medical records written.

▪ Collaboration with Other Departments

▪ Work collaboratively with veterinary surgeons, veterinary nurses, and PCA to ensure smooth workflow.

▪ Participate in team meetings, case discussions, and training sessions.

▪ Provide training and guidance to junior staff on anaesthesia protocols and procedures.

▪ Attend in-patient surgical rounds in the morning during scheduled workdays

Requirements:

- Candidate should at least possess a diploma in veterinary technology/nursing. For a senior position, a degree in veterinary medicine would be preferred.

- Experience in a GP veterinary clinic/hospital would be advantageous.

SURGICAL DEPARTMENT

JOB DESCRIPTION – VET NURSE

▪ The Veterinary Surgical Nurse plays a critical role in assisting veterinarians during surgical procedures and ensuring the highest standards of perioperative care. This includes preparing the surgical area, maintaining aseptic techniques, monitoring patients, and supporting recovery.

▪ Surgical Assistance:

o Assisting the surgical specialist and nurses in the care and treatment of inpatients.

o Prepare the operating room with necessary instruments, equipment, and supplies.

o Assist veterinarians during surgical procedures by passing instruments, holding tissues, and maintaining a sterile field.

o Ensure proper functioning of surgical equipment before and during procedures.

▪ Patient Care:

o Conduct pre-operative assessments, including taking vital signs and preparing animals for surgery (e.g., shaving, cleaning surgical sites).

o Monitor patients during surgery, tracking vital signs and maintaining accurate records.

o Provide post-operative care, including monitoring recovery and administering medications as prescribed

o Monitoring and provide in-hospital care to stable post operative patients in the wards.

▪ Patient Admission & Coordination:

o Assist nurses with triage and assist with new case admissions.

▪ Assist with taking radiographs.

▪ Restraining patients for examination and treatments.

▪ Administrative Duties:

o Maintain detailed and accurate records of surgical procedures, patient care, and medications administered.

o Assist in managing surgical inventory, including ordering and stocking supplies.

o Schedule and coordinate surgical appointments as needed.

o Attend in-patient rounds and engage in self-learning such as attending continuing development lectures and reading of books and journals.

o Participate in daily surgical rounds.

Requirements:

- Candidate should at least possess a diploma in veterinary technology/nursing. For a senior position, a degree in veterinary medicine would be preferred.

- Experience in a GP veterinary clinic/hospital would be advantageous.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is looking for applicants for research engineer positions to support 3D-IC package fault localisation and failure analysis (FA) techniques with ANSYS High Frequency Structure Simulator (HFSS). The applicant will work closely with our researchers to understand and derive insights from scientific experiments and data. The applicant will also assist in the design and development of a physical test vehicle for the measurement of simulated results.

Responsibilities will include:

1. Contribute to defect classification and localization through simulation defect modelling.
2. Involve in 3D-IC forward predictive modelling (i.e. include chip and circuit blocks) by generating training materials.
3. Design of mock IC test vehicles for high frequency electromagnetic and DC magnetic field measurement and testing.

Qualifications

• A bachelor’s or higher Degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• Candidate with experience in microelectronic research, characterisation, metrology, electrical testing, FA and strong in data analysis will have advantage. Knowledge of AI/ML/DL development and ANSYS/TCAD modelling.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focuses on developing the technology and demonstrating Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research engineer with proven knowledge and experience in researching, designing, and testing of microwave circuits and subsystems.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Experience in the simulation and design of microwave circuits and subsystems.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• Open to fixed-term contract.

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

Principal Investigator: Associate Professor Catherine ONG, Department of Medicine

The Infectious Diseases Research Laboratory at the Department of Medicine, Yong Loo Lin School of Medicine is looking for highly motivated and well-qualified candidates for the post of Research Fellow to work on Murine models of Tuberculosis. The lab works on translational research i.e. spanning cellular, murine and human TB research. This position provides an excellent opportunity for persons looking to further experience in translational research including robust interactions with clinicians.

https://medicine.nus.edu.sg/medi/catonglab/index.html

https://discovery.nus.edu.sg/5460-catherine-w-m-ong

Main Duties and Responsibilities

The Research Fellow will design and execute experiments in M. tuberculosis infection of mice, processing of samples, and associated readouts including flow cytometry, immunohistochemistry, molecular biology including immunofluorescence. State-of-the art techniques include spatial transcriptomics and bioinformatics can be learnt and applied. Spatial transcriptomic work is also expected from human tissues. The person will lead in the day-to day running of experiments in the Biosafety Level 2 (BSL2) and BSL3 setting, and is expected to work independently, in coordination with other junior and senior team members in the laboratory and clinicians. Supervision of junior lab members such as undergraduates and postgraduate PhD students is expected. Work with live M. tuberculosis is expected in a BSL3 setting. BSL3 experience would be advantageous but not a requirement.

Qualifications

Applicants should have:

• A PhD degree in life science and skilled in handling murine models
• A minimum of 2 years of BSL2 experience with skills in molecular biology and immunohistochemistry/immunofluorescence
• Ability to help mentor and train junior staff members and students
• A proven track record of outstanding written, oral presentation and communication skills
• Excellent skills in project management
• Ability to work on grant proposals including writing, meeting with collaborators, and reviewing proposal opportunities

All interested applicants should send their job application interest, full CV with the cover letter and the reference letters of three referees with the referees’ contact details to the NUS Career Portal.

1. JOB PURPOSE

The job-holder is responsible to ensure personalised and cost-effective care is provided by nursing staff to patients in accordance to established policies and procedures, standards of nursing care and practices. Responsible for the effective and efficient running of the ward/department assigned.

2. DUTIES AND RESPONSIBILITIES

2.1 Primary Responsibilities and Duties (80%)

2.1.1 Oversees the team of RN/EN, NA/HA under her charge.

2.1.2 Responsible for compliance of all nursing standards as stipulated by MOH and SNB.

2.1.3 Leads quality assurance activities to monitor and evaluate the quality and appropriateness of nursing care of the ward.

2.1.4 Ensures quality audits are planned, conducted periodically and follow up with corrective improvements.

2.1.5 Ensures written policies and SOP is available and up to date to guide nursing practices.

2.1.6 Provides direct care to patients to ensure compliance to standards.

2.1.7 Ensures smooth transition of residents from acute to chronic care and back to community where possible.

2.1.8 Ensures appropriate skill mix and adequate manpower resourcing for all shifts and types of services for area under his/her purview.

2.1.9 Directs and facilitates staff development, skills and competency upgrading through in-house training, approved online learning or formal education opportunities.

2.1.10 Guides orientation/induction programmes and preceptorship for all new staff.

1.1.1 Prepares roster and daily staff assignment for the ward/department.

1.1.2 Supports the SNM in nursing home management and deputizes her in her absence.

1.1.3 Works with Allied Health on preventive and rehabilitative programs for the

Residents

1.2. Secondary Responsibilities and duties (20%)

1.2.1 Promotes evidence-based practices or nursing care delivery.

1.2.2 Demonstrates awareness of current nursing and health care practices.

2.2.3 Monitors and analyses trends and changing needs of patients in institutional

settings.

2.2.4 Carries out any other duties as assigned by the supervisor.

3. JOB SPECIFICATIONS/ REQUIREMENTS

3.1 Qualifications and Experience

3.1.1 Locally Trained Registered Nurse with Advanced Diploma in Nursing/ Bachelor’s degree in Nursing or equivalent preferred.

3.1.2 Foreign Trained Registered Nurse with Degree or Diploma in Nursing with Board Pass (Professional Regulation Council, PRC).

3.1.3 Registration with Singapore Nursing Board.

3.2 Abilities and Attributes

3.2.1 Demonstrates leadership ability and management skills.

3.2.2 Strong sense of integrity.

3.2.3 Possesses good inter-personal and supervisory skills.

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between University of Cambridge, Nanyang Technological University and National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

Who are we looking for?

We are looking to fill research position in maritime decarbonisation modelling:

Computational Fluid Dynamics simulations of ammonia and methanol engines will be performed, leading to a better understanding of the pollutant-generation processes. In addition to excelling in handling turbulent combustion theory Extensive, experience in combustion CFD is necessary.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-c4t-cn14. If you have any questions, please feel free to reach out to the HR team at [email protected].

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Process Systems Engineering and Machine Learning (AI) for Chemical Engineering. The ideal candidate would have experience in developing first principle process models in Matlab/gPROMS or Python, process optimization, machine learning for chemical processes.

What skills do you have?

Working with chemical process data. Understanding process design, process optimization. Coding in Python. Developing ML workflows.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-process-system-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

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.

About AIDF

The Asian Institute of Digital Finance (AIDF) is a university-level institute at the National University of Singapore (NUS), jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.

The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.

Position Overview

An exciting opportunity exists to join NUS-AIDF as a Research Assistant under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.

Career Benefits:

• Gain a detailed understanding of a cutting-edge quantitative credit risk model.
• Further your knowledge in quantitative modeling and financial analysis.
• Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
• Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
• Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.

Qualifications

• Fundamental quantitative skills, preferably those obtained during a bachelor’s degree in mathematics, computer science, economics, finance etc.
• Good programming skills (Julia, Python, Matlab, SQL, etc.) or financial fundamentals are ideal
• Good team player with strong sense of responsibility and strong communication skills
• Highly self-motivated
• Willing to learn new technical skills

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Machine Learning (AI) for Chemistry and Chemoinformatics. The ideal candidate would have experience in working with chemical databases, developing machine learning workflows based on chemical data for synthesisor properties prediction. The successful candidate would have good understanding of machine learning methods and have experience of coding in Python.

What skills do you have?

Working with chemical data. Coding in Python. Working with different types of data. Working with chemistry related ML tools.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-chemoinformatics-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

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

• Develop and implementation of structural optimization schemes for customized reinforcement configuration in reinforced concrete component.
• Conduct mechanical testing on steel-concrete composite elements.
• Collaborate with team members to ensure that all project milestones are achieved on schedule.
• Document findings comprehensively and prepare detailed reports for further analysis and review.

Qualifications

• PhD degree (or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields.
• Experience in research for structural optimization is desirable.
• Strong computational analysis skills and proficiency in using laboratory equipment.
• Ability to work independently and as part of a multi-disciplinary team.

We are seeking a dedicated and experienced Assistant Nurse Manager to join our team at St. Andrew's Nursing Home (Tampines North). The ideal candidate will be a senior staff nurse with extensive clinical experience and a robust background in infectious control. This role offers an exciting opportunity for a seasoned professional looking for a new challenge in a leadership capacity.

KEY RESPONSIBILITIES

• To oversee the team of registered and enrolled nurses, nursing aides and healthcare assistants

Quality and Patient Safety

• Responsible for compliance of all nursing standards as stipulated by Ministry of Health (MOH) and Singapore Nursing Board (SNB)
• Lead quality assurance activities to monitor and evaluate the quality and appropriateness of nursing care. Ensures quality audits are planned and conducted periodically. Follow up with areas for corrective improvements
• Promote evidence-based practices or nursing care delivery
• Ensure written policies and procedures and work process are available and up to date to guide the nursing care delivery

Care Delivery

• Ensure the smooth transition of residents from acute to chronic care and back to the community, where possible
• Direct care of the residents to ensure compliance to standards

Infection Control:

• Develop, implement, and monitor infection control policies and procedures in compliance with national guidelines and best practices.
• Conduct regular audits and assessments to ensure adherence to infection control protocols and address any compliance issues.
• Provide training and education to staff on infection control practices and emerging infectious diseases.
• Investigate and manage infection outbreaks, coordinating with relevant health authorities as necessary.

Staff Resources

• Ensure appropriate skills mix and adequate manpower resourcing for all shifts and types of services

Staff Development

• Direct and facilitate staff development, skills and competency upgrading through various opportunities. These may include formal education, in-house training or approved online learning programmes
• Guide orientation/induction programmes and preceptorship for all new staff
• Support the Nursing Director in nursing home management and deputizes in her absence

Qualifications:

• Education and Licensing:Bachelor of Science in Nursing (BSN) or equivalent.
  Registered Nurse (RN) license with the Singapore Nursing Board (SNB).
  Certification or training in infection control is highly desirable.
  Basic Cardiac Life Support (BCLS) certification is required.
  
• Experience:Minimum of 5 years of clinical nursing experience, with at least 2 years in a senior staff nurse or leadership role.
  Proven experience in infection control and management, including handling infection outbreaks and implementing infection control protocols.
  Demonstrated experience in a managerial or supervisory role, preferably in a hospital or healthcare setting.
  
• Skills and Competencies:Strong leadership, organizational, and interpersonal skills.
  Excellent communication and problem-solving abilities.
  Proficient in clinical assessment, patient care, and infection control practices.
  Ability to work effectively under pressure and manage multiple tasks.
  

Additional Information:

• Work Hours: Monday - Friday

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Job Responsibilities:

• Assist in the execution phase of grant and industry projects, including monitoring project milestones, risks, costs, and schedules.
• Collaborate with various functions within the organization to resolve roadblocks and ensure the programme and projects deliver key outcomes within the allocated time and budget.
• Update and maintain the internal research project database, and external engagement tracking.
• Support the Quantum Programme Office (QPO) in managing and ensuring proper and updated records of project variations, grant proposals, publications, patents, and technology disclosures.
• Administer overseas travel arrangements, including checking travel plans, budgets, and ensuring proper documentation and approval in compliance with existing policies.
• Assist the team in organizing technology road-mapping and scientific workshops/symposiums.
• Assist the QPO team in day-to-day operations and administrative duties.

Job Requirements:

• Degree in Science, Technology, or Engineering.
• Proficiency in relevant software and tools such as MS Excel, MS Project, and PowerBI preferred.
• Strong attention to detail.
• Ability to manage multiple tasks and projects simultaneously.
• Excellent problem-solving, analytical, and systems thinking abilities.
• Resourceful and independent.
• Ability to work collaboratively with internal and external stakeholders.
• Strong written and verbal communication skills.
• Familiarity with quantum technologies and their applications is advantageous.
• Minimum of 5 years of experience working in the public R&D sector

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

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Computing Systems
• Programming Languages & Software Engineering

Job Requirements

• A Master’s degree in Computing; and
• Experience in research of LLM inference and training acceleration systems.
• Experience in paper and publications in LLM.

Job Responsibilities:

• Assist in the execution phase of grant and industry projects, including monitoring project milestones, risks, costs, and schedules.
• Collaborate with various functions within the organization to resolve roadblocks and ensure the programme and projects deliver key outcomes within the allocated time and budget.
• Update and maintain the internal research project database, and external engagement tracking.
• Support the Quantum Programme Office (QPO) in managing and ensuring proper and updated records of project variations, grant proposals, publications, patents, and technology disclosures.
• Administer overseas travel arrangements, including checking travel plans, budgets, and ensuring proper documentation and approval in compliance with existing policies.
• Assist the team in organizing technology road-mapping and scientific workshops/symposiums.
• Assist the QPO team in day-to-day operations and administrative duties.

Job Requirements:

• Degree in Science, Technology, or Engineering.
• Proficiency in relevant software and tools such as MS Excel, MS Project, and PowerBI preferred.
• Strong attention to detail.
• Ability to manage multiple tasks and projects simultaneously.
• Excellent problem-solving, analytical, and systems thinking abilities.
• Resourceful and independent.
• Ability to work collaboratively with internal and external stakeholders.
• Strong written and verbal communication skills.
• Familiarity with quantum technologies and their applications is advantageous.
• 1-2 years of experience working in the public R&D sector preferred

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

The National University of Singapore invites applications for Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

1. Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)
2. Provide effective updates to the stakeholder on the work done
3. Liaise with the relevant departments for logistic and finances related matters
4. Document and tabulate financial payments received and / or made to support the study
5. Up keeping study materials including procurement and inventory tracking.
6. Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date
7. Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

1. Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

1. Able to work independently and meticulously
2. Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.
3. Possess strong interpersonal skills
4. Flexibility to work on weekends (if needed. i.e for outreach event)
5. Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia 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 3 referees.

We regret that only shortlisted candidates will be notified.