Total 4,157 research assistant job vacancies in D04 Harbourfront,Telok Blangah, Sentosa Island

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The research involves a study and development of a learning and optimization platform powered by AI, Machine Learning and data analytics for applications.

Key Responsibilities:

• Conduct research and development related to AI and Computer Science
• Collect relevant dataset, and conduct experiments to gain insights on project-related research questions
• Presenting research results to collaborators at scientific meetings or producing reports/ publications

Job Requirements:

• PhD in Computer Science or related disciplines
• Good spoken and written English
• Strong research ability
• Strong leadership quality
• Good interpersonal skills

We regret that only shortlisted candidates will be notified.

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

For more details, please view: https://www.cares.cam.ac.uk/research/clic/

We are looking for a Research Fellow to support research activities on neuroimaging, and training-related brain changes in adults. The role will focus on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members.

Key Responsibilities:

• Perform computational modelling and analysis of the neuroimaging and behavioural data from cognitive and related domain tasks
• Development and implementation of neuroimaging data analyses pipelines
• Conduct analysis of data and summarise research findings
• Development and implementation of data transfer and curation protocols
• Liaise with other workgroups on data management and multi-modal analyses

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, biomedical engineering, computer science, or related fields.
• At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Advanced signal processing and programming skills (e.g. with Matlab, Python)
• Experience with neuroimaging techniques (MRI, EEG and/or TMS).
• Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc.
• Experience with statistical packages, especially R and SPSS
• Good statistical knowledge and skills
• Good IT skills (i.e., Microsoft Office®)
• Strong ability to work within a multidisciplinary team
• Strong interpersonal, written and verbal communication skills
• Excellent organizational skills and able to work within given deadlines

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

The Translational Materials Innovation Group, led by Professor Nam-Joon Cho, has world-leading expertise in multiple research areas, such as bio-interfacial science, including optical and acoustic biosensors, phospholipid assemblies, protein adsorption, membrane-active compounds, and antibacterial and antiviral applications.

Key Responsibilities:

• Conducts experiments related to drug delivery, nanoencapsulation and lipid nanoparticles
• Assists in interpreting and applying processes and procedures to conduct/monitor project progress
• Gathers information/ data and prepare documents for reporting/ papers
• Assists in and delivers training and coaching new members with relevant laboratory/ technical skills
• Knowledge of web platform establishment, progress management and external collaborator communication, and contents upload.
• Project performance targets & metrics development and tracking of the goals and KPIs.
• Planning and operation of the international meetings, conferences, seminars, and webinars
• Project related task reports as requested.

Job Requirements:

• Master’s degree in materials and mechanical engineering
• Experience in thesis and/or paper writing and publish
• Experience in research project collaboration with research institutes
• Experience in work software, including MS Office (Word, Excel, PowerPoint)
• Experience with lab management is preferred but not mandatory
• Excellent on/offline communication and organizational skills
• Able to work within teams
• Self-motivated, fast learner, and confident in presenting to and engaging with external stakeholders

We regret that only shortlisted candidates will be notified.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

We are looking for a highly motivated candidate to join us as a research fellow to facilitate the research program in the development of next generation steels funded by Singapore National Research Foundation led by Nanyang Assistant Professor Yi-sheng (Eason) Chen.

Key Responsibilities:

• Support the delivery of project goals
• Conduct high-quality research and disseminate outcomes in peer-reviewed journals and academic conferences
• Participate in supervising undergraduate and postgraduate researchers
• Collaborate with local/overseas research groups
• Establish one or more independent research programmes under the guidance of PI and other senior mentors
• Develop competitive funding proposals in collaboration with PI and other senior colleagues
• Engage in teaching undergraduate and graduate courses and contribute to curriculum development and pedagogical innovation
• Contribute to the development of international and local research communities
• Support the operation of PI's research group, including recuitment and external engagement
• Engage in developing and mainting a safe and inclusive work environment

Job Requirements:

• PhD in Materials Science or related fields
• Excellent proven skills in the fields of physical metallurgy and materials characterization
• Excellent communication skills and the ability to transmit research results into published research outcomes.
• Knowledge and experience in one or more of the following techniques: transmission electron microscopy (TEM), electron backscatter diffraction (EBSD), transmission Kikuchi diffraction (TKD), atom probe tomography, and associated sample preparation techniques including focused ion beam (FIB).
• Ability to work independently and to communicate effectively with team members
• Ability to work effectively under pressure to meet research deadlines
• Ability to work collaboratively with academic and industry partners
• Sound working knowledge and acute awareness of safety regulations and operating procedures within the laboratory environment.

We regret that only shortlisted candidates will be notified.

The Hwei-Ee Tan lab studies the fundamental biological basis of “gut-feelings”, how bacteria in the gut signals to the host to influence physiology and behaviour. Using mice as a mammalian model, the lab investigates how diet and microbiome factors modulates host phenotypes (e.g. food reward, anxiety behaviours, etc). Besides supporting curiosity-driven basic research on the gut-brain axis, his lab is also studying the brain-gut axis, to uncover host-microbe interactions. His lab’s work is multidisciplinary, the research scope covers diverse skills from molecular biology to systems neuroscience, physiology and behaviour. With top-tier research support from National Research Foundation Singapore, Brain & Behavior Research Foundation (NARSAD), etc, his lab at NTU LKCMedicine is actively recruiting talented postdoctoral research fellows, research assistants, and interns, and also open to sponsoring motivated PhD/Masters students. A short-term or part-time research assistantship may also be arranged for motivated trainees. Applicants are strongly encouraged to look up the lab’s website and email the PI with a cover letter and a CV/resume.

Key Responsibilities:

• The applicant must be exceptionally self-motivated, a team player, willing to assist with essential lab duties and learn new skills, and is expected to have relevant experience in one or more of these areas (e.g. mice/rodent handling, optogenetics and behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc).
• The research assistant will learn and assist with a range of work, including but not limited to molecular biology and histology procedures, microscopy, rodent behavioural assays, neuroscience optogenetic and chemogenetic techniques, functional recording and calcium imaging, mice surgery, data analysis and presentation, lab maintenance and office/administrative help.

Key Competencies / Requirements:

• Hold a Diploma or Bachelor degree in Biology or relevant disciplines
• Have a keen interest in the lab’s research theme on the microbiome gut brain neuroscience
• Be proficient in relevant techniques described above
• Be highly motivated and conscientious
• Work independently, and also have the ability to work effectively in a team
• Have good organisational, verbal and interpersonal skills

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

We are seeking a Postdoctoral Research Fellow to contribute to a project focused on using neural network quantum states and advanced machine learning algorithms for simulating realistic microscopic Hamiltonians for quantum spin liquid phases and other frustration driven quantum phases in interacting spin systems, that cannot be efficiently simulated using conventional numerical approaches.

Key Responsibilities:

• Construct realistic microscopic model Hamiltonians relevant to real quantum magnets that can host quantum spin liquid states, focusing on Kagome lattice antiferromagnets and the Kitaev model
• Use neural network quantum states with deep artificial neural network architectures to simulate such Hamiltonians
• Construct experimentally observable properties of quantum spin liquid states
• Collaborate with experimentalists to identify signatures of spin liquid states in candidate materials
• Extend to other frustration-driven novel quantum phases

Job Requirements:

• Ph.D. in Physics or related field
• Knowledge of quantum many body physics and quantum phase transitions
• Familiarity with neural network quantum states and artificial neural networks
• Experience in collaborating with experimentalists
• Proficiency in computational methods

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

We are seeking a Research Fellow to work on developing quantum algorithms for simulating quantum many body systems, focusing on topological phases in quantum spin systems.

Key Responsibilities:

• Develop quantum algorithms to measure non-local order in quantum many body systems
• Construct shallow quantum circuits to implement the quantum algorithms using software development kit, e.g., Qiskit
• Perform error analysis of algorithm developed and optimize for qubit and gate noise
• Use the algorithm developed to simulate microscopic Hamiltonians for complex many body systems that cannot be efficiently simulated on classical computers, focusing on topological phases in quantum spin systems
• Implement on quantum hardware

Job Requirements:

• Ph.D. in Physics or related field
• Knowledge of quantum many body physics and quantum phase transitions
• Familiarity with quantum information theory
• Experience in developing quantum algorithms
• Proficiency in computational methods

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• To conduct research into the WebAssembly programming language.
• To produce publications in top conferences and journals.
• To offer assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Preferably have experience in interactive theorem proving and/or Web programming.
• Capable of handling multiple tasks across projects and research activities.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Good knowledge in laboratory works as well as engineering of prototype system.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

NTI-NTU Corporate Laboratory is a collaboration between Nanofilm Technologies International Limited (“Nanofilm”, “NTI”), Nanyang Technological University (“NTU”) and supported by Singapore under RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s RIE2025 handbook – which emphasises the nation’s commitment to research and innovation, aiming to drive economic growth and address national challenges.

The Nanyang Technological University NTI-NTU Corporate Laboratory is seeking to hire a Research Associate. The selected candidate will innovate Optical and Metasurface Design.

Key Responsibilities:

• Responsible for optical system design and development for metasurface based SLM 3D Holograph Display, Near-Eye Display, Virtual Reality and Augmented Reality etc. applications.
• Good experience on optical lens and system (e.g. Metalens) design
• Research meeting arrangement with project PIs and researchers
• Perform and analyze material/optics characterization
• Prepare monthly reports and presentations for meetings and project deliverables.

Job Requirements:

• A Master degree in the areas of Optical Engineering and/or Photonics devices and System.
• Knowledge and/or experience in using optical simulation tools such as Zemax, CodeV etc.
• Good interpersonal skills with the ability to work independently and also in a team environment.
• Entry level candidates are welcome to apply.

We regret that only shortlisted candidates will be notified.

Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Engineer II.

Key Responsibilities:

• Conduct cutting-edge research in large language models, translating theoretical algorithms, frameworks, and methodologies into practical, working prototypes that demonstrate potential product applications.
• Collaborate closely with researchers and engineers to design and implement system architectures and software solutions that transition research findings into scalable, deployable products.
• Develop and build tools and frameworks to facilitate the transfer of LLM capabilities to industry partners, showcasing the practical value and impact of the research outcomes.
• Create and maintain comprehensive technical documentation, including white papers, presentations, and tutorials, to disseminate knowledge to a broader audience and enhance overall expertise in these emerging areas.
• Engage with international research communities and partners to stay abreast of the latest advancements in machine unlearning, contributing to discussions, collaborations, and initiatives that elevate Singapore’s position in the global AI and privacy research landscape.

Job Requirements:

• Minimum Masters’s degree in computer science/ engineering or related fields.
• Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
• Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
• Strong knowledge of machine learning and deep learning techniques, including knowledge graphs, machine unlearning, and AI testing.
• Proficiency in working with common Linux distributions (e.g., Ubuntu, CentOS) and familiarity with shell scripting and command-line tools.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a must.
• Experience with version control systems (e.g., Git) and collaborative development tools.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Experience in AI model testing methodologies, including robustness, fairness, and explainability assessments, as well as understanding data privacy and security considerations in AI.
• Good understanding of relational database and Unix shell scripting skills.

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

The Nanyang Business School (NBS) is recruiting a Research Scientist / Research Associate (Part-Time) in the area of data protection law and data privacy.

Key Responsibilities:

• Assist in primary legal research on databases such as Lexis-Nexis, HeinOnline etc
• Collate research materials found, inclusive of preparing summaries of research materials which involves reading and drafting written summaries of regulatory materials, legal judgments, and secondary materials
• Formulation and development of data governance structures and frameworks
• Other research administrative tasks

Job Requirements:

• Master in Law with extensive experience in research and/or in data protection law
• Strong communication and interpersonal skills
• Organised and meticulous
• Capable of following instructions meticulously

About Nanyang Business School

One of Asia’s leading business schools, the College of Business (Nanyang Business School), CoB (NBS) at NTU Singapore is committed to nurture talents by adapting to the fast-evolving business environment and developing leaders for today and tomorrow. We embrace the connection between business, technological innovation, and entrepreneurship while maintaining a strong focus on sustainability. This is evident in our inter-disciplinary and industry-relevant education and research.

We are a leading research-powered business school focusing on business education in a technology-driven world. Taking a principled, evidence-based, and inter-disciplinary approach, we produce top-notch and impactful research to tackle world-scale challenges, advance business theories, and enhance management practice.

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

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

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

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

We are looking for a Research Fellow (RF) who will develop computational electromagnetics codes for rapid characterization of the fields scattered from artificial metasurfaces.

Key Responsibilities:

The key responsibilities of the Research Fellow are

• Developing 3D integral equation / boundary element method-based codes.
• Accelerating these codes with matrix/tensor decomposition-based and fast Fourier transform-based schemes.
• Adopting these codes for multiple-CPU and/or GPU platforms via parallelization schemes.
• Validating these codes via canonical and real-world examples.

Job Requirements:

• PhD in Electrical and Electronic Engineering, Applied Mathematics, or related field.
• 3 years of research experience in the related area.
• Experience in code development for integral equation/boundary element methods.
• Good publication record.
• Proficiency in C/C++ or Fortran.
• Good written and oral communication skills.

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

We are looking to appoint a full-time Research Associate (History) at the School of Humanities in Nanyang Technological University (NTU).

The incumbent will be part of one of a collaborative team of researchers based in NTU’s History Department working on the history of environmental crises and epidemics in colonial Hong Kong led by Assistant Professor Florence Mok. The Research Associate will focus on examining how transnational networks which linked Hong Kong and other places, especially Southeast Asia, affected the development of the Cold War, which in turn influenced state’s response to different kinds of crises, political and natural.

The fellowship position is a fixed term post for 12 months, with a possibility of further extension.

About the Project

This study will make an original contribution to the political, social and environmental history of modern Asia, British colonialism and the Cold War by exploring how the colonial government and the Chinese society in Hong Kong mitigated environmental crises from 1945 to 1980, with the Cold War in the background. This is a period of historical significance: it witnessed growing policy initiatives, increased economic affluence and rising political and social consciousness. It will focus on how the state and popular responses to water shortages, in particular propaganda, were influenced by Cold War politics. The proposed study will use a traditional historical approach of examining published sources and archival manuscripts in Hong Kong and London.

Key Responsibilities:

• Examine the data collected from the Hong Kong Public Records Offices and the National Archives at Kew.
• Carry out literature survey on Hong Kong history and different theories, in particular work Cold War networks between Hong Kong and Southeast Asia, different forms of propaganda and approaches of crisis management.
• Coordinate with the History Research Fellow, the History Associate and PI, apply theoretical frameworks to the historical/archival findings.
• Use both qualitative and quantitative methods to analyse the effectiveness of the crisis management measures implemented by the colonial government in Hong Kong.
• Work with PI and turn the findings into journal articles for submission.
• Organise seminars and conferences on the research topic.

Job Requirements:

• MA/MPhil in History, specializing in post-war Hong Kong studies/the Cold War/ connections between Hong Kong and Southeast Asia.
• Knowledge in qualitative and quantitative methods and ability to analyse archival records and statistics.
• Ability to read and interpret Chinese sources, fluency in Cantonese would be advantageous as archival data collected from the Hong Kong Public Records Offices, and Chinese newspapers and mass media that we sampled would contain materials in Chinese /Cantonese.
• Excellent interpersonal skills, able to build productive relationships within the research team and beyond NTU.
• Highly self-motivated, capable of working independently as well as part of a team.

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

Application Procedure:
Please apply by submitting the following documents in Workday:

1) Curriculum Vitae

2) Cover letter of no more than 2 pages which addresses your suitability for the fellowship

3) Statement of no more than 1 page of your potential contribution to the project.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a new interdisciplinary school at NTU, inaugurated in August 2022. Our school hosts world-class education and research programs in organic and inorganic chemistry, physical chemistry, chemical engineering, and bioengineering. We aim to nurture future-ready researchers with the ability to tackle new challenges in chemicals manufacturing, healthcare, energy, food, and other important sectors.

This position is responsible for aiding the development of new synthetic methods in the labs of Asst Prof Phillip Grant, which aim to improve the efficiency of organic synthesis.

Key Responsibilities:

• Synthetic research in organic synthesis of small molecule drug-like compounds
• Characterisation of organic compounds
• Development of new methods to synthesise drug-like compounds
• Maintenance of key instruments
• Contribution to lab duties; e.g., purchase of chemicals
• Drafting reports and papers

Job Requirements:

• A PhD in organic chemistry.
• Prior experience in synthetic methods development and/or target oriented synthesis.
• Experience in scientific writing in English
• Experience in reaction optimisation.

For more information about the Grant lab, please visit (https://www.grant-lab.org/).

We regret that only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow. The Research Fellow will be working on high-resolution imaging, bioimaging and metrology projects at the centre.

Key Responsibilities:

• Expected to work with the PI and other team members for doing R & D and take key role for the development of the systems for bioimaging and metrology
• Conduct and coordinate research within NTU and collaborating partners in line with its research strategy under the supervision of the PIs and collaborators
• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings, and contribute to the external visibility of the centre.
• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

Job Requirements:

• PhD in Optical Engineering, Biomedical Engineering, Mechanical Engineering, Precision Engineering, Electronics Engineering, Physics or a similar discipline with optics and instrumentation background
• Previous experience in high-resolution imaging, bioimaging, optical measurements, metrology, spectroscopy, hyperspectral imaging (HSI), and machine vision are desirable
• Expertise in handling and maintenance of high power CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable
• Possess good programming, optical instrumentation, automation and image processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ)
• Proven publication track record would be an advantage

We regret that only shortlisted candidates will be notified.