Total 4,496 research associate job vacancies in Hong Kong

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Job Description :

• Under general supervision, applies functional specifications and uses engineering tools to design hardware for product changes and new development.
• Independently processes data, writes engineering reports, and conducts diagnosis of routine hardware malfunctions.
• Contributes in reliability analysis such as risk assessments and Failure Mode Effects Analysis by compiling and examining data.
• Identifies the testing requirement at a system level with the emphasis on complying with test standards and Halliburton's Health, Safety, and Environment procedures.
• Contributes to Halliburton's Intellectual Property portfolio by preparing Invention Disclosures and recognizing ideas that have Intellectual Property potential without disclosing confidential information.
• Coordinates with project leads to produce project deliverables by assessing input requirements and applying functional specifications.
• Develops relationships through excellent communication skills and acts as a key resource to provide innovative solutions.
• May participate in professional societies in area of specialization.

Requirement:

Requires completion of a bachelor's degree in Mechanical Engineering or similar discipline; master's degree preferred.

Requires two years of related experience (requirement may be waived with master's degree).

Job Description

We are looking for a passionate and capable individual to work with flexible sensors, wearable technologies, and benchtop biochemical analytics.

1. Be familiar with electrochemistry and electrochemical detection/analytics, colorimetric assays, enzymatic reactions, and biochemistry.
2. Be familiar with, and regular/daily wet-lab processes, materials processing, sample preparation, and electrochemical device preparation.
3. Be familiar with device and materials characterisation, such as common electrochemical approaches (CV, amperometry, DPV, SWV, etc), impedance measurements, basic optical measurements, and standard microscopy.
4. Possess basic computational abilities such as python, basic AI skills, with a keen eye for automation.
5. Be highly motivated for intellectual output (problem solving, publications, IP and general knowledge creation), able to learn quick on the job, able to think outside the box for research and engineering solutions

Qualifications & Field of Study:

Bachelors in preferably biomedical engineering, or materials science and engineering; chemical or electronics engineering or related fields are also relevant.

1. Good understanding of sensing materials, conductive/semiconductive materials, electronic devices, electrochemical sensors, and their related device engineering/development and characterisation tools
2. Good with detailed hands-on work in wet lab, meticulous and attention to detail; good with characterisation measurements
3. Have sufficient computational knowledge and abilities to complement research, including basic programming language, basic AI skills, awareness of automation etc.
4. Basic awareness and knowledge of biosensors, wearables technology, healthcare/medtech landscape.

Other Requirements:

1. Strongly driven for intellectual output and knowledge creation
2. Resourcefulness in problem solving
3. Diligent and team player, work in multi-disciplinary environments.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Biological-Sciences%29/33316-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Molecular Breeding Laboratory at the Lee Hiok Kwee Functional Genomics Laboratories, Department of Biological Sciences led by Associate Professor Chew Fook Tim, is currently looking for TWO Research Fellows with relevant PhDs, and TWO Research Assistants with BSc(Hons) degree or MSc in relevant fields and background, to join the project on the Molecular Breeding of Leafy Greens and Fruiting Vegetables / Seed Innovation Hub.

The work would include:

• Large-scale Global Germplasm Evaluation and Assessment,
• Key Deep Phenotypic Definition and Evaluation, including molecular, cell culture-based and biochemical bioassays,
• Characterization of Genetic Control, Genome-wide Associations, and Functional Characterization of Candidates,
• Crossing, Cultivar and Lines Development,
• Integration of Genomic Data into Cultivation Processes,
• Multi-Location Trial Evaluations, 
• Project Management of External Collaborations, and
• Scientific Communications and Publications.

Qualifications

PhD Degree in Science and in related fields.

Skills:

• Strong motivation and leadership in pursuing challenging scientific questions.
• An ability to work well with interdisciplinary colleagues.
• Experience in mentoring and training junior researchers (including undergraduates and polytechnic interns).
• Excellent written and interpersonal communication skills.
• Good time and resource management skills.

Experience:

• Experience in Bioinformatics / Genetics / Statistics is mandatory and should be able to code in R.
• In addition, experience in Plant Molecular Biology techniques including CRISPR and Functional Characterization of Genetic Control, Large Scale -omics Technologies, and Data Analysis, would be an advantage.

About Us:

The National Cancer Centre Singapore (NCCS) is a leading national and regional tertiary cancer centre, attending to most of patients with cancer in Singapore’s public healthcare sector. We offer world class oncology care by having the best talent, giving the best care and doing the best research to improve cancer outcomes. Join us to build a meaningful career and offer patients hope for a cancer-free tomorrow.

About the Role:

The Division of Supportive and Palliative Care (DSPC) seeks a dynamic and compassionate individual to join our young and dynamic research team. Our research projects seek to improve care for patients with cancer, heart failure and other serious illnesses by developing, evaluating and implementing novel models of healthcare service delivery for palliative care, including the use of artificial intelligence.

You will perform a variety of activities under the supervision of the Principal Investigator and/or her designate.

Key Responsibilities:

- Screen and recruit research participants.

- Conduct semi-structured interviews or surveys with research participants at various settings (e.g. in-patient, out-patient, residential settings, virtual settings).

- Extract clinical data from medical records.

- Enter and manage study data.

- Assist in literature reviews and survey development.

- Assist with preparation of presentations and manuscripts.

- Attend to the administrative and logistic needs of research projects, including IRB submissions and report writing.

- Be involved in educational research activities.

Job Requirements:

- Bachelor’s degree in life sciences or social sciences or with 2 years of relevant experience in these fields.

- Prior experience or evidence of knowledge in conducting interviews/survey research/ scientific writing would be advantageous.

Job Summary

Role Overview

You will help leadership build and manage a balanced research portfolio — spanning themes, maturity levels, risk profiles, funding sources, and paths to real-world impact. You will develop investment cases, lead resource planning, and ensure that the institute’s research bets are strategically sound.

Key Responsibilities

• Support long-term research portfolio planning across themes, maturity levels, risk profiles, funding sources, and paths to impact.
• Develop investment cases and decision papers to support leadership discussions on major research bets and capability-building.
• Evaluate programmes based on scientific excellence, strategic relevance, and potential for real-world impact.
• Lead long-term planning for budget, headcount, infrastructure, compute, data, and platforms to support the institute’s goals.
• Partner with finance, HR, operations, IT, and research teams to align resource planning with strategic priorities.

Requirements

• Degree in science, engineering, business, finance, operations, or a related field; experience in R&D portfolio planning or resource management is advantageous.
• Strong understanding of research portfolio management, resource planning, budgeting, headcount planning, and programme evaluation.
• Ability to develop investment cases, decision papers, portfolio analyses, and resource plans for senior leadership.
• Strong cross-functional coordination skills, with experience working across research, finance, HR, operations, and IT teams.

Career Growth & Impact

• Manage a portfolio at national scale. You will oversee research investments spanning multiple domains, risk profiles, and funding sources — the kind of breadth usually found only at global R&D organisations.
• Influence major investment decisions. Your analysis and recommendations will directly shape which research bets the institute makes — and where it builds new capabilities.
• Build a versatile, cross-functional skill set. You will work at the intersection of science, finance, operations, HR, and IT — experience that is highly transferable across sectors.
• Accelerate your career. A strong foundation for progression into senior research management, chief-of-staff roles, or leadership positions in national research planning.
• on management.

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/33402-en_GB/?st=27EA650B338B5E357BE8807DDBD8CC0F4FE85C73

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. BAO Weizhu and his research group at NUS on modeling and simulation for semiconductor devises and scientific machine learning methods for PDEs arising from emerging applications.

The main responsibilities of the position include working with the PI and his research group on developing and analyzing efficient and accurate numerical methods for partial differential equations and related problems from different applications including semiconductor devices.

Qualifications / Discipline:  
•    PhD in Mathematics or applied science or equivalent

Skills:  
•    Modelling and simulation, computational science and engineering, scientific machine learning, etc. 

Experience:   
•    Research experience in modelling and simulation, and computational science and engineering including semiconductor devices.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Quantum-Engineering%29/33413-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Fellow to join our growing team developing next-generation electrical interfaces to diamond quantum sensors based on nitrogen-vacancy (NV) centers. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods.

The research will combine semiconductor device physics, quantum sensing, spin-dependent transport, and diamond electronics, with opportunities to explore hybrid platforms involving two-dimensional materials, field-effect devices, and advanced electrical detection techniques.

Key Responsibilities

•    Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting and controlling NV-center spin and charge states, including device design, fabrication, and characterization.
•    Semiconductor device architectures: Explore p-i-n, Schottky, field-effect, and related device structures for integrating diamond defects with electrical readout and control platforms.
•    Spin-dependent transport and recombination: Investigate spin-dependent electrical, optical, and recombination processes in diamond and related defect systems for quantum sensing applications.
•    Diamond–hybrid devices: Develop hybrid device architectures incorporating diamond with novel and/or CMOS-compatible materials, including graphene, silicon nitride, or other functional layers for electrical transduction.
•    Device modelling and simulation: Model carrier transport, charge-state dynamics, photoelectric processes, recombination pathways, and electrostatic device behaviour to guide experiments and optimize device performance.
•    Team collaboration and mentorship: Work closely with PhD students, research engineers, and undergraduate researchers while contributing to the growth of a multidisciplinary research programme.
•    Cross-disciplinary exploration: Engage with applications spanning quantum sensing, integrated electronics, semiconductor diagnostics, quantum materials, and bioelectronic sensing.

What We Offer
•    Opportunity to pioneer new approaches to electrical quantum sensing and spin-based technologies in diamond.
•    Access to state-of-the-art facilities for diamond characterization, device fabrication, optics, microwave engineering, and electrical measurements.
•    Freedom to pursue ambitious and innovative research directions at the intersection of quantum technology, semiconductor electronics, and advanced sensing.
•    Participation in building a new research programme from the ground up, with significant opportunities for intellectual leadership, technology development, and independent project ownership.
•    Strong emphasis on translation beyond academic publications, including the development of enabling technologies, prototype systems, intellectual property, and real-world sensing applications.
•    Opportunities to contribute to patent generation, technology commercialization, industry partnerships, and potential future spin-out ventures arising from the research.
•    Exposure to a broad range of application areas, including semiconductor diagnostics, advanced manufacturing, quantum instrumentation, materials characterization, healthcare technologies, and next-generation sensing systems.
•    Collaboration with experts across quantum sensing, nanofabrication, semiconductor devices, materials science, photonics, and engineering.
•    Strong support for publishing impactful research while simultaneously pursuing technologies that can deliver tangible scientific, industrial, and societal benefits.

Job Requirements

Job Requirements
•    PhD in Physics, Electrical Engineering, Materials Science, Applied Physics, or a closely related field.
•    Strong background in one or more of the following:
     o   Semiconductor device physics
     o   Quantum sensing or spin physics
     o   Diamond defects and color centers
     o   Electronic transport measurements
     o   Semiconductor characterization techniques
•    Experience with electrical device fabrication and characterization, including Schottky diodes, p-i-n structures, FETs, or related semiconductor devices.
•    Familiarity with low-noise electrical measurements, RF electronics, lock-in techniques, impedance spectroscopy, capacitance measurements, or microwave spin-resonance methods.
•    Experience with carrier transport simulations, semiconductor modelling, finite-element analysis, or device design tools is advantageous.
•    Knowledge of NV centers, spin-dependent recombination, charge-state physics, PDMR, ODMR, or related quantum defect systems is desirable but not strictly required.
•    Experience with graphene, hBN, other two-dimensional materials, or hybrid quantum-semiconductor devices would be highly advantageous.
•    Strong publication record, scientific communication skills, and ability to work independently while contributing effectively within a collaborative team.
•    Open to Fixed Term Contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Designing-for-Relational-Safety-in-Children's-Online-Peer-Interactions%29%2C-DID/33492-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are hiring a Research Assistant to contribute to a project focused on Designing for Relational Safety in Children's Online Peer Interactions. The project aims to understand, design, and evaluate sociotechnical supports that help tweens navigate the complexities of online peer interactions. A core concern is how children can protect themselves while preserving their relationships. Within this overarching theme, we offer intellectual flexibility in defining specific research inquiries and design directions based on the researcher's expertise and interests.

The successful candidate will contribute across the research trajectory, from qualitative grounding (e.g., conducting interviews with stakeholders such as teachers and parents, and running co-design sessions with children) to translating these insights into tween-centered interactive prototypes. The researcher is expected to disseminate findings through high-impact publications in top-tier HCI venues.

Qualifications

Minimum Qualifications:
•    A BS or MS in HCI, Design, Information Science, Computer Science (Human-centered), or a closely related field.
•    Research experience in HCI, preferably with exposure to academic publication or conference venues (e.g., CHI, CSCW, ASSETS or DIS).
•    Proficiency in qualitative and/or mixed-methods research, including experience in co-design ethnographic studies, etc.
 
Preferred Qualifications:
•    Experience working with children as study participants.
•    Experience in system prototyping, with the ability to translate conceptual design requirements into functional artifacts.
•    Technical expertise in integrating AI/ML features into user-facing systems.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant/33378-en_GB/?st=D69A109800B45D05A9B168D1AA363BC6A2D3EC43

We regret that only shortlisted candidates will be notified.

Job Description

The job holder will assist with provide data management, analytical and reporting support for research project.

Duties & Responsibilities 

• Clean and document survey datasets to ensure data accuracy, consistency and readiness for analysis
• Conduct predictive analysis using statistical and analytical methods to identify patterns, trends and insights from survey data
• Develop data visualisations, reporting outputs to communicate survey findings
• Prepare technical documentation and analytical reports and provide support in the interpretation and presentation of survey results for research purpose.
• Any other duties as assigned

Qualifications

• Degree in Data Science and Economics , Computer Science or a related discipline
• Experience in survey data management
• Proficient in statistical and analytical software
• Experience in development of data visualisation and analytical reports using relevant tools
• Strong analytical, problem solving and communication skills with ability to present findings clearly in both technical/non-technical way
• Ability to work independently, manage multiple tasks and meet project datelines in a research environment

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Biological-Sciences%29/33323-en_GB/?st=B5FA154F06D36FC5269C150E5001D81FCD76013F

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with A/P Lau On Sun on studying the production of stomata in plants under a project on Singapore Indoor Farming System.

The main responsibilities of the position include:
running a project in the lab where we aim to study the production and behavior of stomatal guard cells in plants. The work will involve the generation of transgenic plants, analyses of plant varieties and mutants, performing light and confocal microscopy, image analyses, and various in vitro and in vivo biochemical, molecular, and genomic analyses. The Research Fellow is also expected to mentor and train junior members in the lab.

Qualifications

PhD in Plant Molecular Biology, Cell Biology, Developmental Biology or related field.

Skills:
Expertise in basic and advanced molecular biology, biochemical, and genetic techniques in Arabidopsis and other relevant plant model systems (e.g. gene cloning, in vitro protein assays, protein-protein interaction, crossing and phenotyping plants, etc.) and microscopic analyses (e.g. light and fluorescent microscopy and imaging analyses).

Experience:
At least 4 or more years of related laboratory experience in molecular genetics in plants. Experience working with Arabidopsis and other plant species and have at least one submitted/accepted manuscript in reputable journals in relevant fields will be preferred.

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 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 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 to work on Multimodal Intelligence. The role involves developing and advancing novel algorithms for emerging challenges in Multimodal Intelligence, including Multimodal understanding and generation. The candidate is also expected to mentor students, lead research projects, and contribute to grant proposal development.

Key Responsibilities:

• Conduct cutting-edge research and publish in leading conferences and journals

• Mentor and supervise students in research projects

• Contribute to the development of grant proposals

• Provide general support for lab activities

Job Requirements:

• PhD degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in computer vision, machine learning, and deep learning

• Good written and oral communication skills

• Experience in leading research projects

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

We regret to inform you 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 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 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 Assistant to work on world model. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in world model, Multimodal Large Language Models and Video Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in world model, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

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

Job Description

We are seeking an Investment Professional to cover investment research in commodities, specifically, base metals and ferrous metals sector.

This role will work closely with the rest of the investment team to conduct in-depth research and analyze data on base metals and ferrous metals market, develop strategic portfolio plans aligned with risk-return objectives, assess and quantify risks associated with investment decisions, and collaborate with cross-functional teams while ensuring compliance with regional regulations.

This role needs to consistently act with integrity, due skill, care and diligence, uphold ethical standards, pay due regard to the interests of investors and treat them fairly by avoiding conflicts of interest.

Requirements

1. Education: Master's degree in finance, economics or a related field.
2. Experience: Minimum 6 years of experience in global base metals and ferrous metals research, trading and risk management.
3. Market Expertise: Deep knowledge of global base metals and ferrous metals markets, supply chains, regulatory frameworks and derivatives market.
4. Technical Skills: Proficiency in fundamental analysis of base metals and ferrous metals market and trading/risk platforms.
5. Soft Skills: Strong analytical thinking, strategic planning, cross-functional communication, and the ability to thrive in fast-paced, volatile environments.

COMPANY DESCRIPTION

THKMC was incorporated on 13 October 2011 as a charity to provide multiple social and welfare services to the community at large, and achieved an Institute of Public Character (IPC) status on 18 November 2011. THKMC is the charitable arm of Thye Hua Kwan Moral Society, which lives by the mission - To Serve Mankind - to help anyone who needs help regardless of their race, religion, colour, language, creed and culture. THKMC today serves more than 70,000 beneficiaries through more than 70 programmes across five Services, which include Disability, Early Intervention for Children, Family, Seniors' Community, and Therapy.

RESPONSIBILITIES

• Quantitative / qualitative research
• Interview participants
• NVIVO, R, SPSS, JANOVI experience will be a bonus

• Degree/Diploma in Social Work or Psychology
• Strong admin skills
• Strong excel skills.

• Interest in working with substance use population.