Total 408 research nurse job vacancies in Singapore

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build hardware for the next generation of the ion trap quantum processor. This includes design and implementation of the modular and compact optical system for the laser beam modulation using acousto-optical and electro-optical modulators, delivery of the beams to the inside the vacuum chamber, and implementation of the diffraction limited optical system for ion imaging and addressing of the individual ions with the laser beams.

The successful candidate will be involved in all stages of the development cycle: collaborate with team members to define technical requirements, design, test and integrate the optical systems in the final product.

Job Requirements

We are looking for several optical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Ph.D. in optical engineering, physics or related areas;
• At least 1-2 years of experience in optical design, implementation and testing of the optical or laser systems is preferred.
• Experience in optical design, familiar with optical (for example, Zemax or OSLO) and mechanical (Autodesk or Solidwork) CAD software, able to assemble and test complex optical systems.

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 at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• 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:

The Institute for Functional Intelligent Materials (I-FIM) is looking for postdoctoral research fellows to work on topics in machine learning and its scientific applications. The successful candidate will work with Principal Investigators in I-FIM on these topics.

The main responsibilities of the position include conducting cutting-edge research in machine learning theory and algorithm research, with applications to materials and quantum sciences. Topics include (but are not limited to) the following:

• Data-driven multiscale modelling
• Approximation and optimisation theory of new architectures with applications in dynamics
• Learning and controlling deterministic and stochastic dynamics

Job Requirements

• PhD in (Applied) Mathematics, Computer Science, Physics or related fields
• Strong knowledge in machine learning and deep learning
• Familiarity with basic theory of dynamical systems, ODEs, PDEs, and stochastic processes
• Knowledge in computational physics and chemistry are desirable
• Ability to code in Python with at least one of the popular deep learning frameworks, e.g., Jax, PyTorch
• Academic research with strong publication record. The candidate should have published in top machine learning conferences and journals, such as ICML, ICLR, NeurIPS, JMLR, and/or top journals in applied sciences.

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

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research associate for polymeric biomaterials.

As a research associate in AM.NUS, you will be working on projects on the following areas:

• Synthesize new polymeric biomaterials for advanced bioinks.
• Undertake internal capability development projects and collaborative projects with researchers and industrial partners.
• Produce scientific research papers and grant proposals, and present in seminars, workshops, and conferences.
• Explore collaborations with researchers and industrial partners.
• Assist laboratory safety and procurement whenever necessary.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore (NUS)’s world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS will explore a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalized patient treatments.
AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) center in an Institute of Higher Learning in Singapore which comprises the following Faculties (Medicine, Science, Dentistry and Design & Engineering). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC).

Qualifications

• Master in Materials Science and Engineering/ Biomedical Engineering/Chemical Engineering/ Pharmacy or related field.
• Experience in polymer synthesis and characterization.
• Experience in cell culture techniques.
• Familiarity with 3D printing is an advantage.
• Proficiency in written and spoken English.

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• 
  
• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims at studying various threats in software defined networks (SDN) and developing security solutions for detecting anomalies and mitigation.

The Research Assistant (RA) will be responsible to assist in developing techniques such as AI/machine learning/deep learning , to model the normal behaviours and detect anomalies in SDN.

The work involves experimentation with a testbed and proof-of-concept demonstrations for use-cases. The work and findings will lead to top-tier publications, invention disclosures and proof-of-concept demonstrations.

Job Requirements

• A Masters or Bachelors degree in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in areas - network security, software defined networking, AI/machine learning/deep learning.
• Interests and skill in research and development.
• Software skill for testbed Experimentation and proof-of-concept demonstrations.
• 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

The Singapore Nuclear Research and Safety Initiative (SNRSI), a university-level research institute at NUS established in 2014, is committed to excellence in nuclear safety research. Within SNRSI, the Radionuclide Dispersion and Dose Assessment team specialises in modelling the migration and impact of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is dedicated to advancing the academic community while tackling real-world challenges faced by government agencies and stakeholders.

With several positions open for Research Assistant/Research Associate, we welcome motivated candidates to join us – an excellent opportunity to collaborate with colleagues from world-leading universities and develop essential skills in the exciting world of modelling and cutting-edge technologies, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths.

• Radionuclide dispersion modelling

The migration of radionuclides, in the air or water bodies (both surface and underground) will be modelled using either community dispersion models or in-house-developed codes. The aim is to enhance our understanding of how radionuclides are transported and dispersed in the environment, providing a robust foundation for further impact or consequence assessment.

• Radiological impact and dose assessment

Mathematical models or empirical approaches are employed or developed to quantitatively analyse radionuclide pathways. The radiation exposure doses, potential contamination of food or water sources are subsequently estimated. The goal is to provide reliable and practical references for emergency planning or mitigation measure implementation.

Qualifications

• A degree or higher qualification in a relevant field, such as physics, mathematics, environmental sciences, and computer science, etc.
• A strong understanding of fundamental physics, mathematics, and statistics.
• Proficient in Python programming. Having experience in other coding languages, such as C/C++, Fortran, MATLAB, or Linux shell scripting, is a plus.
• Experience with modelling using tools/models such as FLUENT/OpenFOAM, Deflt3D, ROMS, WRF, HYSPLIT, or RODOS is considered an advantage.

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

• Conduct research on the formulation, processing, and 3D printing of functional materials for actuation and sensing applications. This includes developing and optimizing material compositions, printing processes, and performing experimental characterization and testing to evaluate performance.
• 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, Chemical Engineering, or a related field.
• Strong background in materials formulation, polymer processing, 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 National University of Singapore invites applications for the position of Research Assistant / Engineer 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 Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:
• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers;

Initial appointment is a contract for a year, subject to renewal.

Interested applicants should send your CV to the NUS Career Portal.

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

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 Associate Professor Zhigang Yao on a project titled “Single Particle Cryo-Electron Microscopy: Reconstruction and Uncertainty Quantification”.

The main responsibilities of the position include:
• Collaborating with the research team to develop and apply neural network methods and manifold fitting theories for CryoEM 3D reconstruction.
• Conducting large-scale numerical experiments.
• Assisting with the preparation of research papers and presentations.

Qualifications

Qualifications / Discipline:
• A Bachelor degree in Mathematics, Statistics, or a related discipline.
• Solid foundation in mathematical concepts.

Skills:
• Proficiency in coding and programming (e.g., Python, MATLAB).
• Knowledge of neural networks and machine learning is advantageous.
• Strong problem-solving and analytical thinking abilities.

Experience:
• Experience with numerical methods or data analysis is preferred.
• Familiarity with manifold fitting theories is 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 Cybersecurity R&D Laboratory (NCL) is a shared national infrastructure that provides computing resources, repeatable and controllable experimentation environments, as well as application services for the cybersecurity R&D community. The infrastructure includes a cluster of 300 nodes that provides a wide range of provisioning mechanisms, security data and security services. NCL aims to provide a platform that fosters and encourages collaboration among researchers in academia, the industry as well as government bodies both locally and internationally through the sharing and validation of research outcomes. The laboratory was established in November 2015 and is funded by the National Research Foundation (NRF).

Job Description:

• Design and manage cloud-based computing system and network infrastructure
• Work on Security with AI, focusing on leveraging LLM for security applications
• Help to oversee our progress of our grants

Qualifications

• PhD in Computer Science or relevant
• Interest and experienced in looking for expertises in cloud security, applied cryptography, adversarial machine learning, etc
• Enthusiasm for problem-solving and able to work in a fast-paced environment
• Strong interpersonal skills with the ability to communicate effectively

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 Role

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators

Requirements

• A PhD in Computer Science, with specialization related to natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation 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 successful candidate will work with Assoc Prof Cai Zhenning on Numerical Simulation of Open Quantum Systems under a project on "Long-time Simulation of Open Quantum Systems for Spin Chains and Non-Relativistic Particles".

The main responsibilities of the position include:

1. Develop algorithms and write scientific papers for the research project.
2. Attend regular group meetings and present his research work.
3. Collaborate with other colleagues and students in the research group.

Qualifications / Discipline:

• PhD degree in Applied/Computational Mathematics

Skills:

• C/C++ and MATLAB programming languages, knowledge in partial differential equations and quantum mechanics.

Experience:

• At least two years of research experience in scientific computing

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a post-doctoral research fellow. The successful candidate will work on reliability analysis of a floating tidal-wave energy system. Candidates with expertise in reliability analysis and dynamic analysis of floating structures are preferred.

Job Requirements

• Possess a recognised PhD degree in offshore engineering, or a related discipline.
• Strong writing and communication skills
• Good publication record is advantageous
• 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

Research Fellow (postdoc) position in the Department of Chemical and Bimolecular Engineering at National University of Singapore (NUS). The primary objective of this position is to foster a profound design principle towards novel, efficient and robust electrochemical catalysts and reactors for the efficient conversion of CO2/CO into multi-carbon products, i.e., ethylene, ethanol and propanol.

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

Job Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Research Assistant for Saw Swee Hock School of Public Health

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

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

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

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

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

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

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

Please note that only shortlisted candidates will be contacted.

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 Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is 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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is 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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is 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

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Job Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential) - Demonstrated experience in using a range qualitative research methods (essential)
  - Track record of publishing in international peer-reviewed journals (desirable)
  - Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply
  

Skills

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas 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

The successful candidate will work with Dr Liujun Zou on physics under a project on Exploring novel quantum many-body states.

The main responsibilities of the position include:

Doing theoretical research, giving seminars, attending conferences, writing papers, etc.

Qualifications/Requirements

• Qualifications / Discipline: Outstanding achievement and promising potential in physics.

• Skills: All necessary skills in theoretical physics.

• Experience: Outstanding achievement in theoretical physics.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing 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 Fellow will be responsible for working closely with the Principal Investigator and lab members on topics of Quantum-Safe Security. He/she should possess experience or interest in the following research areas:

• Post-Quantum Cryptography
• Quantum-Safe Security

Job Requirements

• A PhD degree in a relevant area;
• Good publication record; and
• Experience in research.

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

Perform research in operando imaging guided materials design for sustainability

Qualifications

The successful candidate should possess the following:

• A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
• Highly motivated, committed, and capable of working independently as well as collaboratively
• Strong publication record in peer-reviewed journals
• Good communication skills in English (both written and oral)
• Prior experiences with the following will be a plus
• Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
• Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
• Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
• Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

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 PhD 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.