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 Asst. Prof. Yang Liu on conducting research under a project on “Large Models for Control and Optimization”. The main responsibilities of the position include:

1. Develop AI algorithms for the research project
2. Implement the algorithms with Python and conduct numerical experiments
3. Theoretical analysis
4. Write papers

Qualifications / Discipline:

- Ph.D. degree in Mathematics

Skills:
- Control/optimization theories and algorithms, deep learning, Python

Experience:
- Experience in developing advanced control, optimization and deep learning algorithms are required

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A research assistant position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of disease outbreaks.

Major duties and responsibility of the position include but are not limited to:

• Data collection and management
• Literature review
• Data analysis using software such as R
• Research coordination
• Preparation of reports, presentations, manuscripts.

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Candidate must possess excellent written and verbal communication skills. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Good proficiency in the following areas is preferred:

1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint
2. Experience in R, Python

The successful applicant is expected to possess at least a Bachelor’s Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience.

Recruitment is open immediately and will continue until the position(s) is filled. Applicants should send a brief statement of interest, CV, references and other relevant supporting information in their application. They may contact [email protected] (PI: Borame L Dickens) for further information.

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 successful candidate will work with PI Ben Wainwright in the department of biological sciences at NUS.

Using samples from multiple marine species that have been collected along an approximate 6000km east to west transect from Sumatra to Papua New Guinea, the candidate will work on a project that seeks to explain why the marine ecosystems of the Coral Triangle are so biologically diverse, what facilitates and what restricts gene flow in the region, and finally, how can this information be used to advance marine conservation planning in Southeast Asia.

The main responsibilities of the position include, but are not limited to:

• DNA extraction, PCR, High-throughput DNA sequencing library preparation (Illumina, PacBio, ONT) and the associated techniques.
• Ensuring and maintaining smooth operation of the laboratory (ordering stocks, maintaining training records etc.)
• Assist in various administrative duties as part of project management.
• Analyze data and be involved in the production of peer reviewed articles.

The lab has numerous unique marine datasets/samples that candidate is welcome and encouraged to work on and pursue individual research interests.

Qualifications

BSc in Biology, Environmental Studies, Ecology and Evolution or related discipline. The candidate should have an interest in Marine Science and the conservation of marine ecosystems.

Skills:

• Familiar with molecular techniques (e.g., PCR, gel electrophoresis, DNA extraction, DNA Sequencing etc.).
• Familiarity/proficiency with data analysis in the R environment, ideally using population genetic tools such as APE, STACKS, adegenet etc. and the analysis of microbial amplicon data sets.
• Independent and self-motivated, and organised with attention to detail.
• Proficiency in English, both spoken and written, that are essential for communication of findings in scientific and other media.

Experience:

• Working knowledge of molecular labs and how they function.
• Analyzing evolutionary data (e.g., SNPs), and/or microbial amplicon data in packages such as DADA2 or QIIME2 etc.
• Proficiency with R.

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

Work on hands-on experiments for few of the following tasks:

1. Design, Simulation, and Fabrication of Piezoelectric MEMS such as FBAR, SAW, MEMS resonators, MEMS microphones, and MEMS microspeakers
2. Fabrication of integrated sensors based on CMOS compatible process
3. Fabrication of nanosensors using e-beam lithography
4. Design and testing of MEMS devices for biomedical related applications and environment monitoring related applications
5. Design, modelling and testing of neuromorphic computing devices using MEMS and/or resistive elements
6. Write 2 or more research papers based on derived data of the above devices in the first year in the top-notch journals
7. Write research grant proposals
8. Supporting and guiding the experiments of FYP students and MSc students

Qualifications

1. PhD Degree in Electrical Engineering
   
2. Have learned Machine Learning related courses for one semester at post-graduate level and earned score of A- or better
3. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
4. With 3 years and more experience in making and testing Piezoelectric MEMS devices
5. With 2 year and more working experience in MEMS, Resonators design and Robotics applications
6. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS
7. Having more than three 1st-authored international peer-reviewed journal papers (for RF)
8. 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 successful candidate will work with Dr Gloryn Chia on developing cancer vaccines.

We are seeking a highly motivated Research Fellow with expertise in Bioinformatics to join our team. The successful candidate will work closely with clinicians and scientists to develop and implement bioinformatics pipelines for identifying and validating cancer vaccine candidates, with the goal of translating research findings into clinical applications.

Responsibilities will include analyzing bulk and single-cell RNA sequencing data to uncover immune interactions within the tumor microenvironment (TME). Additionally, candidates will explore 3D protein structures to investigate protein-protein interactions and delve into the fundamental mechanisms underlying gene function. This will involve studying gene regulation, expression dynamics, and their impact on cellular pathways to uncover critical insights into disease biology and therapeutic targets.

The main responsibilities of the position include:
Bioinformatics analysis

Qualifications

• Qualifications / Discipline: Bachelor of Science or PhD in Bioinformatics

• Skills: R and/or Python

• Experience: Research or bioinformatics experience

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a novel near-eye display technology for augmented reality (AR).

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Conduct research towards a novel near-eye display for augmented reality and develop a prototype.
• Coordinate procurement and liaison with vendors/suppliers and carry out other project related activities.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• A Bachelor/Master’s degree in computer, mechanics or related programmes.
• Knowledge and experience in near-eye display for VR/AR will be advantageous.
• Able to build and maintain strong working relationships with people within and external to the university.
• Show strong initiative and take ownership of work.
• Teamwork spirit

Key Competencies

• >= 2 years of research experience in near-eye display technologies for VR/MR.
• Teamwork spirit and ownership attitude.

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 Prof Frank Stephan, Prof Yang Yue and Prof Sanjay Jain on Mathematical Logic and Theoretical Computer Science under a project on connections between Automata Theory, Computa-tional Complexity and Recursion Theory.

The main responsibilities of the position include:
- Working with the PIs and other RFs on research topics in Mathematics. The topics are on automata theory, complexity theory and recursion theory.
- Writing, publishing and presenting papers (research findings) in journals and conferences.

Qualifications / Discipline:

- PhD in Pure Mathematics or Theoretical Computer Science.

Skills:
- Knowledge of Mathematical Logic, in particular at least one of Recursion Theory, Computational Complexity and Automata Theory.

Experience:
- Research experience on university level expected, either by prior employment or by work on a PhD thesis or published papers.

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 Prof. Somin Park on next-generation optoelectronics under a project on start-up grant.

Our group is looking for candidates with a background in material synthesis (organic synthesis, polymer chemistry), photoelectron spectroscopy, photophysical characterization, or practical experience in optoelectronic applications. The ideal candidate will have the opportunity to develop and lead their own research projects while collaborating with interdisciplinary teams worldwide and providing mentorship to fellow team members.

The main responsibilities of the position include:
• Design and optimize materials for various optoelectronic applications
• Conduct electrical photophysical characterizations
• Mentor and supervise graduate students and research assistants working on related projects

Qualifications:

- A PhD in Chemistry, Physics, Materials Science and Engineering, Chemical Engineering, or related fields
- Strong publication record in peer-reviewed journals

Skills:
- Material design, characterizations
- Good communication skills, both written and verbal in English

Experience:
- Material synthesis, advanced characterizations, and practical experience in optoelectronic applications

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 Lu Jiong on scanning tunneling microscopy under a project on "Atomic engineering of zigzag-edged graphene nanoribbons towards next-generation spintronics".

The main responsibilities of the position include:

1) Atomic-scale material design
2) Quantum nanoscience

Qualifications / Discipline:

- PhD in Chemistry or Physics

Skills:
- Scanning tunnelling microscopy

Experience:
- Atomic-scale characterization

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 QIU Yunyan on polymeric materials design and synthesis under a project on "Constructing precise mechanically interlocked polymers for highly dynamic and functional materials".

The main responsibilities of the position include:
- Developing new catalytic systems for controlled synthesis of mechanically interlocked polymers and frameworks;
- Identifying suitable monomers for controlled polymerization reactions;
- The synthesis and characterizations of functional polymers with control over their molecular weights and dispersities.

Qualifications / Discipline:

- Doctoral degree in Polymer Chemistry or Organic Chemistry

Skills:
- The design and controlled synthesis of polymeric materials
- Metal catalysed polymerization reactions
- Polymer characterizations
- Device fabrication

Experience:
- Extensive experiences in the design and precision synthesis of polymers and their structural characterizations

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 Department of Geography, NUS, is now firmly established as Asia’s leading Department of Geography, consistently ranked among the top geography departments globally, and part of NUS’s College of Humanities and Sciences. This reputation is in part built upon research excellence in three key areas: tropical environmental change, social and cultural geographies, and political and economic geography. We currently host around 40 faculty and more than 70 research students and staff (https://www.fas.nus.edu.sg/geog/).

We are looking for a Research Assistant or Research Associate to help to take our department’s research to the next level. The position of Research Assistant or Associate will be offered based on the qualifications and experience of the candidate.

Job Description

The key responsibilities for the Research Assistant / Associate will include but are not limited to:

• Work with various Principal Investigators and Research Groups in the Department to document research achievements and produce research reports
• Conceptualisation and execution of research related content that will communicate the Department’s achievements on various communications and media platforms, including but not limited to Instagram and LinkedIn
• Day-to-day management of the Department’s media and communications platforms
• Work with internal and external stakeholders to conceptualise and organise research related events and programmes

Qualifications

• Bachelor or Master’s degree in the social sciences. A background in media, marketing and/ or communications is advantageous
• Prior experience in research writing, communication and dissemination
• Proven ability in digital communications and marketing, including social media engagement
• Self-driven, highly motivated, collaborative, and able to work unsupervised and as part of a team
• Willingness to acquire new skills

Interested applicants are invited to submit a two-page CV, a media portfolio (if available), names and contact details of two referees, and a one-page cover letter explaining the candidate's past experience and aptitude in relation to the advertised role through the NUS Career Portal by 14 February 2025.

Further enquiries can be directed to Dr Shaun Teo ([email protected]).

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

Work on hands-on experiments for few of the following tasks:

1. Design, Simulation, and Fabrication of Si Photonics such as Near IR/Mid IR Si photonics; Near IR/Mid IR Photodetectors; Si photonics sensors; Nanophotonics sensors
2. Fabrication of integrated photonics based on CMOS compatible process
3. Fabrication of plasmonics based nanophotonics structures using e-beam lithography
4. Design and testing of photonics devices for biomedical related applications and environment monitoring related applications
5. Design, modelling and testing of photonic neural networks (PNN) using Si Photonics
6. Write 2 or more research papers based on derived data of the above devices in the first year in the top-notch journals
7. Write research grant proposals
8. Supporting and guiding the experiments of FYP students and MSc students

Qualifications

1. Have learned MEMS or Si Photonics related courses for one semester at post-graduate level and earned score of A- or better.
2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
3. With 3 years and more experience in making and testing guided-wave based photonics devices
4. With 2 year and more working experience in MEMS and Photonics design
5. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS;
6. Fluent in English speaking and writing
7. Having more than 3 1st-authored international peer-reviewed journal papers (for RF)

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 – which is the top ranked university in Asia – is recruiting a full-time Senior Research Fellow (Biostatistician) for the Saw Swee Hock School of Public Health (SSHSPH). The position will specifically work in the Biostatistics and Modelling Domain (BSMD) of SSHSPH. Researchers with existing research activities applying statistical methods in cancer, epidemiological studies, health promotion, physical activity, nutrition and primary care are particularly encouraged to apply.

Responsibilities include:

• establishing an independent research programme;
• providing statistical support for collaborative, multidisciplinary research;
• course design and teaching; and
• graduate student advising.

Qualifications

1. A recognized Doctoral degree in a relevant discipline with a strong post-doctoral research record;
2. Track record of publishing in international peer-reviewed journals;
3. Ability to generate and maintain an independent stream of funding;
4. Ability to teach public health courses at both undergraduate and graduate levels;
5. Ability to work in multidisciplinary teams;
6. Ability to work with culturally diverse populations.

Additional requirements to be appointed to the tenure track:
1. Track record of publishing in high-impact international peer-reviewed journals;
2. Experience in leading independent research studies;
3. Ability to develop an internationally renowned research programme.

Job Description

The Cardiovascular and Metabolic Disorders (CVMD) Programme houses state-of-the-art technologies for profiling mitochondrial function and metabolic adaptations in human patients and other model organisms, and undertakes translational and clinical research in cardiovascular and metabolic disorders.

Dr Wang Yibin’s laboratory has a long-standing research interest in the fundamental mechanisms of cardiovascular and metabolic regulations in physiology and diseases. The laboratory employs state-of-the-art genomic and metabolomic approaches, aiming to identify novel players and mechanisms in transcription and post-transcription regulation, stress-signaling pathways as well as novel therapeutic targets relevant to cardiometabolic disorders. Dr Wang’s laboratory has an outstanding track-record of mentoring and supporting scientific career for students and fellows.

The selected candidate will perform a variety of research activities under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Life Sciences or Biomedical Science and/or post-graduate Medical Degree with at least 3 years of relevant research experience. Training in Genomics and Metabolomics would be desired.
• Demonstrated very good knowledge, skills and expertise in R-package with potential to achieve research excellence.
• Proven track record in the form of high impact publications.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

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

We are seeking Postdoctoral Fellows to join our research team to work with PI and co-PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. The primary focus of this position is on developing destination choice models for future land use and transport systems using data-driven approaches.

Key responsibilities include:
• Collecting and analyzing relevant data.
• Designing tour-based destination choice models.
• Facilitating developed models into existing tour-based transport framework.
• Leading funded research projects, supervising research students, and preparing research proposals and reports.

This Postdoctoral researcher position is funded in the areas of urban and transport planning. Candidates should demonstrate strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.

Job Requirements

• Possess a PHD degree in related discipline such as transportation engineering, operations research, computer engineering/science, or related disciplines.
• Strong knowledge and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication 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

We are seeking Postdoctoral Fellows to join our research team to work with PI and co-PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. The primary focus of this position is on developing destination choice models for future land use and transport systems using data-driven approaches.

Key responsibilities include:
• Collecting and analyzing relevant data.
• Designing tour-based destination choice models.
• Facilitating developed models into existing tour-based transport framework.
• Leading funded research projects, supervising research students, and preparing research proposals and reports.

This Postdoctoral researcher position is funded in the areas of urban and transport planning. Candidates should demonstrate strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.

Job Requirements

• Possess a PHD degree in related discipline such as transportation engineering, operations research, computer engineering/science, or related disciplines.
• Strong knowledge and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication 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 Construction Performance Analytics & Innovation Research Unit (cPAIRu) at the Department of the Built Environment, National University of Singapore, concentrates on three primary research areas:
1) Project/Organization Performance Analytics and Innovations;
2) Project/Organization Management Strategies for Green Building & Infrastructure; and
3) Project/Organization Digitalization and Innovations.

As a leading international center for research and consultancy in the built environment industry, cPAIRu drives project and organizational innovations and fosters collaborations with both local and international academic and industry partners, while contributing to national development goals through partnerships among students and staff.

The cPAIRu is seeking a Research Assistant experienced in leading and executing research projects independently. The role demands a solid knowledge of project management and an in-depth understanding of digital transformation in the built environment industry. This includes knowledge of technological competencies, organizational readiness, regulatory and strategic developments, applications of smart technology, change management, and performance assessment. The Research Assistant's responsibilities will extend to administrative and management tasks associated with research projects, as well as pursuing a PhD degree under the guidance of the PI.

Ideal candidates should possess substantial research experience in relevant fields, robust data analysis skills, and, preferably, proficiency in programming for GenAI.

The successful applicant will perform academic development work as well as field practical work together with the other research staff/students under the guidance of the PI.

Job Requirements

• BEng/BSc in a relevant field, such as Project Management, Facilities Management, Infrastructure Management, Civil Engineering, Building Science, or related fields
• Solid knowledge and familiarity with project management, technological competencies, organizational readiness, regulatory and strategic developments, applications of smart technology, change management, and performance assessment
• Strong communication, team management, and independent problem-solving abilities
• Fluency in oral and written 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

About Us
The National University of Singapore invites applications for Research Assistant (Engineer) in the Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine. The Alice Lee Centre for Nursing studies consist of a team of passionate and committed faculty, who takes pride in conducting multi-disciplinary and innovative research in different aspects of healthcare. Our commitment enables the translation of research into impactful healthcare outcomes and improve lives. More information on the department is available at https://medicine.nus.edu.sg/nursing/

The Role
In this position, you will be working on software engineering for implementing source code to develop a stand-alone mobile app-based platform for the collection, analysis of
data related to managing heart conditions. You will work closely with software engineers, data analysts, project managers and industry partners to produce software design and architectures for prototyping and validating platforms towards managingwellness for end users.

Responsibilities

What Will The Role Include
• Collaborate with the design team, other software engineers and product managers to design, build, enhance, and test new features
• Write clean and maintainable code that is properly tested and reviewed
• Understand the product thoroughly; Analyse, design and develop functionalities based on product requirements
• Work with researchers to implement and develop parallel and distributed systems
• Identify and fix problems to improve stability and user experience
• Explore and evaluate the practicality of new technologies to improve existing processes and/or products
• Participate in regular development meetings and client engagement events

Qualifications

• Bachelor's or Master’s degree in Computer Science, and Computer Engineering
• 2-3 years of front-end software engineering experience; candidate should prepare their software engineer portfolio repository for review
• Experience with iOS mobile app development is a must
• Knowledge of at least one of the server-side languages (Java, .NET, Python, Docker, Flask)
• Proficiency with fundamental front-end languages such as HTML, CSS, React Native, Flutter and JavaScript
• Understanding of JavaScript frameworks such as Angular JS, React
• Experience with prototyping software (Figma Developer Mode) is a must
• Candidate should be organized, meticulous, independent and has good communications skills
• Candidate should be able to work independently as well as be a player in multidisciplinary teams

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and relevant research. Informal enquiries are welcome and should be made to Dr Abhinit Kumar Ambastha, E-mail: [email protected]
Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

PURPOSE OF POSITION:

The Research Assistant works under the general direction of Professor Steven Tingay at Curtin University’s Bentley campus, creating a presence for the Curtin Institute of Radio Astronomy (CIRA) in Singapore. They undertake a variety of research support tasks, which may include a mix of administrative, logistical, experimental and/or technical (where applicable) tasks.

DUTIES:

Undertake research support tasks and where applicable, perform technical support tasks which may include, but are not limited to:

Research and Administrative Support

• Liaise with relevant internal and external stakeholders as necessary.

• Liaise with project stakeholders and participants to arrange activities.

• Coordinate requirements, and prepare materials for, research activities/experiments/field trips.

• Perform experiments and/or contribute to research activities with the skills required for the position.

• Undertake literature reviews.

• Assist with the preparation of funding applications.

• Undertake data collection and preliminary analysis.

• Assist with the drafting of progress reports and publications.

• Assist with the preparation of materials and organisation for conference presentations and workshops.

• Facilitate input and updating of research information/activity in relevant databases.

Technical Support

• Assist the research team in the operation of equipment.

• Conduct basic maintenance and minor repairs of research group equipment.

• Monitor and initiate ordering of materials, consumables and equipment, participate in stocktakes, and ensure that delivered goods (including chemicals) and equipment are checked, catalogued, stored and secured by applicable procedures.

• Update and maintain standard operating procedures for all aspects of research group operations including safety, hazardous substances, equipment and workspaces.

• Ensure that research program equipment and laboratory areas are appropriately maintained and cleaned.

Other

• Undertake occasional travel to Curtin University’s Bentley campus in Western Australia to engage with staff and students based at CIRA.

• Comply and adhere to applicable occupational health and safety criteria at all times.

• Comply with applicable legislation and regulations relevant to the research area’s activities and Curtin University requirements.

• As a member of the Curtin University community, demonstrate the highest possible standards of professional and personal conduct, modelling Curtin University’s Values and Signature Behaviours.

• Undertake other activities which the incumbent might reasonably be expected to do, and which are consistent with the accountabilities and responsibilities as listed above.

SELECTION CRITERIA:

Essential:

1. Completion of a relevant degree; or an equivalent combination of relevant experience and/or education/training.

2. Demonstrated experience in relevant scientific/research methods, techniques, and protocols.

3. Demonstrated organisational and administrative skills with the ability to coordinate activities and prioritise tasks.

4. Demonstrated analytical and problem-solving skills with the ability to collate and analyse data.

5. Demonstrated effectiveness in both written and oral communication skills with the ability to liaise effectively with colleagues and stakeholders and to produce documentation which is clear and concise.

6. Demonstrated competence in the use of word-processing and spreadsheet packages, including the ability to generate reports.

7. Demonstrated ability to work autonomously as well as effectively as part of a team.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is available in the research group of Professor Ho Ghim Wei at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).
The successful candidate will be expected to:

• Develop sustainable electronic materials and components, emphasizing eco-friendly processes and materials.
• Investigate and optimize the electrical, mechanical, thermal, biochemical properties of hydrogels.
• Collaborate with interdisciplinary teams, including materials scientists, biochemical scientists, and electronic engineers.
• Publish journal papers and meet grant deliverables.
• Perform routine laboratory duties.
• Assist with other tasks and responsibilities as assigned by their immediate supervisor.

Qualifications

• Possess a PhD Degree in advanced functional materials and devices for flexible electronics.
• Hands-on experience with material synthesis, advanced characterization tools, and laboratory instruments.
• A track record of publishing in high-impact journals related to materials science, electronic engineering, or related fields.
• Self-motivated, detail-oriented, and capable of working independently.
• Demonstrated ability to work effectively in multidisciplinary teams

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.

We are seeking for a research engineer to join our research team to work with PIs and co- PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. This position's primary focus is developing tour-based destination choice models for Singapore’s future land use and transport systems using data-driven approaches.

Key responsibilities include:

• Collecting and analyzing relevant data;
• Designing tour-based destination choice models;
• Integrating developed models into Singapore’s existing tour-based transport framework;
• Working on research projects, supervising research students, and preparing research proposals and reports.

Job Requirements

• Possess a Bachelor and or MEng/MSc degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines).
• Masters graduates without experience are welcome to apply.
• Candidates should demonstrate a strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.
• Strong interest and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication 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 laboratory of Presidential Young Professor (PYP) Liu Yuxin in the Biomedical Engineering Department at National University of Singapore seeks a Research Fellow (PDF) with strong enthusiasm and interest in neurotechnology, organoid intelligence, brain-machine-interface research.
The successful candidate is required to work on a groundbreaking project aimed at developing and testing advanced neural probes that overcome the limitations of current technologies. This position offers a unique opportunity to be at the forefront of neural engineering, with a focus on dual-modality neural monitoring and developing organoid intelligence as a biological computer. He / she is required to perform the followings:

Key Responsibilities:

• Design, fabricate, and optimize neural probes using state-of-the-art materials and techniques.
• Conduct in vivo experiments to validate the performance of the developed probes in recording electrophysiological and/or neurochemical signals.
• Develop neural interface for biological computing using 3D cultures of human brain organoid
• Collaborate with a team of neuroscientists, engineers, and other researchers to advance the project goals.

More information on is available at https://www.lab-liu.com/ and https://cde.nus.edu.sg/bme/staff/dr-liu-yuxin/

Qualifications

• Educational Background: Possess a PhD in Neural Engineering, Biomedical Engineering, Flexible Electronics, Electrical Engineering, Computer Science and Engineering, Material Science and Engineering, or related fields.
• Research Interests: Demonstrate a strong interest in neural engineering, flexible electronics, and brain-machine interfaces. Exhibit scientific curiosity and motivation to conduct scientifically rigorous experimental work.
• Technical Experience:Prior experience in single-unit recording is essential.
  Experience with cell culture, particularly in culturing neuron cells, is highly advantageous.
  Previous experience in microfabrication for neural probes is highly advantageous.
  Experience in fast-scan cyclic voltammetry (FSCV) for neurochemical recording is highly advantageous.
• Research Excellence: Exhibit excellence in conducting independent research with strong critical thinking and experimental design skills. Show enthusiasm for working in a multidisciplinary team and leading a multidisciplinary project.
• Technical Knowledge: Demonstrate a robust technical understanding of bioelectronics, neural engineering, and flexible electronics.
• Communication Skills: Possess strong written and spoken communication skills.
• Open to fixed term contract

Please include the following in your application:

1. A detailed CV.
2. A 5-slide presentation summarizing your previous research accomplishments.
3. Contact information for four referees.

Join us in advancing the frontier of neurotechnology!

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 quantum algorithms, including their design, analysis, and implementation – for Quantum application
• Explore algorithms for applications in fields such as optimization, machine learning, chemistry and biology simulation, finance and cryptography.
• Develop and optimize hybrid quantum-classical algorithms for near-term quantum devices.
• Collaborate with software engineers to implement and test quantum algorithms on hardware platforms (e.g., gate-model quantum computers or quantum annealers).
• Collaborate with industry partners for research and development of Quantum computing applications.
• Publish research findings in high-impact journals and present results at leading conferences.

Qualifications

• Candidate must hold a PhD in numerical quantum physics or similar.
• The candidate must have a strong background in numerical computations, with expertise in exact diagonalization and/or tensor networks. Competences in neural networks will also be considered.
• Familiarity with QIBO is desirable.

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 QIU Yunyan on polymeric materials design and synthesis under a project on "Constructing precise mechanically interlocked polymers for highly dynamic and functional materials".

The main responsibilities of the position include:
- Developing new catalytic systems for controlled synthesis of mechanically interlocked polymers and frameworks;
- Identifying suitable monomers for controlled polymerization reactions;
- The synthesis and characterizations of functional polymers with control over their molecular weights and dispersities.

Qualifications / Discipline:

- Doctoral degree in Polymer Chemistry or Organic Chemistry

Skills:
- The design and controlled synthesis of polymeric materials
- Metal catalysed polymerization reactions
- Polymer characterizations
- Device fabrication

Experience:
- Extensive experiences in the design and precision synthesis of polymers and their structural characterizations

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School, Singapore. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Social and Psychological Aspects of Ageing, Family Caregiving, Productive Ageing, Falls Prevention, Community-Based Health and Social Care Services, Ageing and the Environment, and Health Communication.

CARE actively engages with government and community partners to identify research gaps and inform implementation strategies to enhance the experience of ageing in Singapore. CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults, and their caregivers, in Singapore.

CARE’s quantitative research on ageing in Singapore is based on individual-level data collected through both cross-sectional and longitudinal community-based surveys of older adults and/or their caregivers. CARE is seeking to appoint a post-doctoral researcher to join the team as a Research Fellow, for conducting quantitative research and its publication and dissemination. A Senior Research Fellow position will be offered to candidates who demonstrate substantial relevant work experience and advanced skills in the field.

• Conceptualize and conduct quantitative analyses of individual-level survey data
• Draft and submit at least 4 papers per year in high-impact scientific journals, as lead author or co-author
• Write and edit policy/research briefs (at least 1 per year)
• Present and disseminate findings at international and national conferences, stakeholder meetings, and in public media outlets
• Develop and conduct workshops in quantitative research methods (at least 1 per year)
• Supervise and support the conduct of cross-sectional and longitudinal surveys
• Lead or assist in the writing and submission of competitive grant applications
• Assist with CARE’s other initiatives where required

Job Requirements:

• PhD in Gerontology, Sociology, Demography, Epidemiology, Economics, Public Policy, Public Health, or related fields
• Possess strong quantitative analysis skills and relevant experience in data preparation and analysis
• Familiarity with concepts relevant for geriatrics and gerontology research
• Proficient in Stata or R
• Have excellent written and spoken communication skills
• Motivated, detail-oriented, and able to work with others in a multidisciplinary setting

Interested applicants should fill up the online application on the Duke-NUS website. Please attach:

1. Cover letter stating your interest in the position
2. CV
3. Writing sample (single- or first-authored academic manuscript, published or unpublished)
4. Names and contact information of three referees.

Applications will be considered on a rolling basis. Only short-listed applicants will be notified.