Total 432 Others hr associate job vacancies in Education / Training category in The Philippines

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

We are looking for a Research Associate to work in mental health AI. The role will focus on development of novel multimodal AI models integrating speech, emotions, linguistics, alongside other key mental health modalities. You will also be required to participate in implementation science research pertaining to the deployment and efficacy testing of AI solutions. You will participate in grant and manuscript preparations and also participate in any high impact projects the group is currently working on.

Key Responsibilities:

• De-identification of mental health speech transcripts

• Design and extract text features for modelling ultra-high-risk outcomes

• Design and improve existing multimodal machine learning frameworks for predicting ultra-high-risk outcomes

• Implementation Science research --- including assistance in recruitment, administration of surveys, conducting AI enactment scenarios, analysis of data

• Take care of the Lab’s computing infrastructure--- including GPU-enable units and HPC server

• Manuscript and grant preparations --- for all research pertaining to mental health NLP and behavioral work. And to support grant administration, co-writing, and liaison with grant offices and administrative bodies.

• Research protocol development --- including the development of LLM-prompt workflows, deep learning and training and optimization processes, data transformation and feature engineering.

• AI model development --- training, development, deployment, post-deployment testing and monitoring of LLM and deep learning models pertinent to the mental health project.

Required educational qualification, experience, skills and competencies:

• Master (for Research Associate equivalent) qualification degree in data science, AI, mental health, implementation science psychiatry discipline or related field

• At least 1 years of relevant experiences in similar role / technical hands-on experience in data science and analytics

• Familiarity with PDPA, Good Research Practice, NLP and linguistics analysis

• Good written and oral communication skills (if applicable)

• Proficiency in python, R, Tensorflow, ML, deep learning, LLMs, statistical modelling

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

• Entry level candidates are welcome to apply

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-Associate-%28Electronics-Engineer%29/27085-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

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

Learn more about CQT at www.quantumlah.org

Job Description

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

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

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

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

Key Job purpose is to support a research project titled: Ultrasonic Diagnosis for cell SOH grading.

Key Responsibilities:

• Design and carry out ultrasonic experiments and develop signal processing techniques

• Simulate ultrasonic wave propagation in complex materials

• Draft and submit technical progress reports at regular intervals

Job Requirements:

• Master degree in Mechanical/Electrical/Civil/Computer Engineering or equivalent

• Good knowledge of ultrasonic NDT/SHM

• Good numerical simulation skills

• Good programming skills (Matlab, C++ or Python)

• Excellent communication and written skills

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

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The key objective is to support efforts to excellence in providing advanced education, spearheading groundbreaking research, and delivering unparalleled professional services.

We are seeking a highly self-motivated individual to join the School of Civil and Environmental Engineering (CEE) as a Research Associate. The successful candidate will be responsible for leading and managing research projects, with duties including (but not limited to) project administration, progress monitoring, and reporting.

Key Responsibilities:

• Lead research teams and projects to achieve defined objectives and deliver impactful outcomes.

• Conceive and develop novel research ideas to push the frontiers of biotechnology and bioprocesses.

• Oversee and monitor project progress, ensuring milestones and deliverables are met on time.

• Engage, manage, and liaise with stakeholders, including funding agencies, industry partners, and academic collaborators.

• Supervise and mentor graduate students, while contributing to grant proposal preparation and research publications.

Job Requirements:

• The individual is expected to possess at least a Master’s in Environmental Engineering, Chemical Engineering or a related field.

• Prior experience in biotechnology or bioprocesses related work is highly favorable.

• Good written and oral communication skills.

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

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. We are looking for a Research Associate to conduct life-cycle assessment on solid waste treatment and management systems.

Key Responsibilities:

• Design and implement experimental studies on solid waste treatment processes, including rigorous data analysis and comprehensive technical evaluation.

• Integrate experimental findings with quantitative modeling and life-cycle assessment (LCA) to assess system performance and environmental impacts.

Job Requirements:

• Master’s degree in Geotechnical Engineering, Environmental Engineering or related field

• At least 1 year of relevant experiences in life-cycle assessment

• Familiarity with related literature and software

• Good written and oral communication skills

• Entry level candidates are welcome to apply

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

We are seeking a highly motivated Research Associate/ Research Fellow to join our advanced sensors research team at NTU MAE. The successful candidate will support multidisciplinary research activities in biomechanics, robotics, and advanced materials within the laboratory.

Key Responsibilities:

• Support the team towards comprehensive literature reviews on injury biomechanics, physiological effects, computational modelling and related research topics.

• Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools.

• Design and conduct experimental studies using instrumented human manikins and other test platforms to evaluate biomechanical responses and validate simulation results.

• Assist in the design, fabrication, and characterization of tissue simulants and non-Newtonian materials, including support for 3D printing and additive manufacturing processes.

• Develop and optimize experimental setups, testing protocols and data acquisition systems for biomechanical and robotics-related research.

• Analyse experimental and simulation data, prepare technical reports, and document research findings.

• Support the integration of advanced materials and sensing technologies into robotics and other interdisciplinary research initiatives.

• Inline sensor system developmental work for 3D printing of non-newtonian materials.  Optimization of hardware configurations to maintain a food-grade environment, including development of testing protocols and validation procedures.

• Collaborate with faculty members, researchers, students and external partners to achieve project objectives and milestones.

• Assist in the preparation of research publications, presentations, grant reports, and project deliverables.

• Maintain laboratory equipment and ensure compliance with laboratory safety procedures and research best practices.

• Liaise with external vendors on custom sensors and related mechanical system development.  Manage technical specifications and acceptance testing.  Coordinate technical discussions with collaborators and project stakeholders.  Track project milestones, risks, and technical deliverables.

Requirements

• PhD's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related discipline.

• Knowledge of multi-physics modelling for non-newtonian materials.

• Experience with 3D printing technologies, sensors, system integration, experimental testing, or measurement systems will be advantageous.

• Familiarity with signal processing and analysis, control systems, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.

• Strong analytical, problem-solving, communication, and project coordination skills.

• Ability to work effectively both independently and within multidisciplinary teams.

We regret to inform 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.

The CLIC program is seeking one full-time Research Associate (with potential opportunities for reappointment). The research associate will support research activities focusing on cognitive flexibility and learning, and training-related brain changes among adults and adolescents. Given the highly inter-disciplinary nature of the project, the research assistant will be expected to take on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy.

• Support the recruitment of approximately young adults (18 – 30 years) from vocational institutions (e.g. ITE, polytechnics and universities) as well as from the general working population via community sampling (e.g. community centres, clinics, via social media platforms).

• Organize the collection of datasets

• Overview and standardize protocols for data coding, data entry and data analysis for the datasets

• Assist with the preparation of conference presentations journal papers

• Other administrative duties

Essential requirements:

• Master's degree in Psychology, Neuropsychology, Cognitive Neuroscience or a related discipline

• Prior experience in conducting adult cognitive testing and neuroimaging (fMRI, EEG)

• Prior experience with participant recruitment processes

• Prior experience and familiarity with data management protocols and ethical regulatory frameworks in Singapore

• Experience in performing general administration tasks for research projects

• Experience in producing research reports

• Good statistical knowledge and skills, including familiarity with statistical analysis software such as R and SPSS

• Good IT skills (Office®)

• Strong interpersonal, written and verbal communication skills

• Excellent organizational skills and able to work within given deadlines

• Excellent time management and organizational skills. 

We regret that only shortlisted candidates will be notified.

Please apply by uploading your CV and academic transcript to NTU job portal link.

If you have any questions, please feel free to reach out to us at clic@ntu.edu.sg.

We are seeking to appoint a Research Associate who will contribute to NTU's mission of advancing system security, privacy-preserving computing, and intelligent vulnerability analysis. The ideal candidate will provide strategic research support in bridging low-level system architecture with AI-driven security solutions. This role requires strong expertise in developing formally verified confidential computing environments, optimizing machine learning architectures for secure inference, and building multi-agent pipelines for protocol specification analysis. By driving these interdisciplinary efforts, the appointed researcher will play a pivotal role in NTU's strategic initiatives to build trustworthy, resilient, and efficient computing ecosystems, while fostering innovative collaborations across academia and industry.

Key Responsibilities:

• Conduct cutting-edge research at the intersection of system security, privacy-preserving computing, and intelligent vulnerability analysis.

• Design and implement formally verified, hardware-assisted isolation environments for confidential cloud computing.

• Formulate optimization strategies for machine learning architectures to enable high-performance secure inference.

• Develop multi-agent frameworks driven by large language models to systematically analyze protocol specifications and predict implementation vulnerabilities.

• Collaborate with academic and industry partners to translate advanced security paradigms into real-world applications.

• Prepare and co-author high-quality research papers for premier venues in security, systems, and software engineering.

• Contribute to proposal writing and grant applications in hardware-software co-design and AI-driven security.

• Support the supervision and mentorship of undergraduate and postgraduate students in related projects.

• Assist in building experimental platforms and validation datasets for protocol analysis and confidential computing frameworks.

Requirements:

• Masters degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in system security.

• Experience with privacy-preserving machine learning, AI-driven vulnerability analysis, and vulnerability detection tools.

• Knowledge of cryptographic protocols such as Multi-Party Computation.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Strong academic writing and publication track record, with contributions to international conferences (e.g., ICSE).

• Strong analytical and problem-solving skills, particularly in bridging low-level system architectures.

• Proficiency in experimental design, evaluation benchmarks, and reproducibility of results.

• Excellent communication and collaboration skills in multidisciplinary teams.

• Ability to mentor and support students in research activities and software projects.

We regret 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 Associate to work on Embodied AI Safety. The role will focus on designing, developing, and implementing novel algorithms and models to address emerging challenges in Embodied AI Safety, including attack and defense mechanisms.

Key Responsibilities:

The research associate will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Assisting with robot operation, debugging, and system integration

• Providing general support for the lab

Job Requirements:

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

• Knowledge and experience in AI safety, 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.

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-Associate-%28AI-Law%2C-Sustainability-and-Public-International-Law%29/32994-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for International Law (CIL) was established in 2009 as a university-level research institute at National University of Singapore (NUS). CIL engages in both legal and multi-disciplinary research on a wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. CIL's vision is to become a regional intellectual hub and thought leader for research and teaching in international law. Further information about CIL is available at https://cil.nus.edu.sg/

CIL invites applications for a one-year Research Associate position. We seek an early career scholar specialising in public international law with a strong interest in the governance of artificial intelligence (AI) and sustainability to work as part of the AI and Technology Law programme led by Dr Jon Truby. This position is part of CIL's expanding research programme on AI law, climate and environmental sustainability, and digital governance within the international legal framework. The Research Associate will have the opportunity to advance their research profile in a dynamic and supportive environment at the intersection of AI, sustainability and public international law.

Responsibilities: 

• Conduct high-quality research on the nexus between AI and digital technologies, international law and sustainability.
• Prepare and publish at least one substantial piece of scholarly work suitable for submission to a reputable journal during the appointment.
• Contribute to the development and delivery of CIL’s research agenda on AI, technology and sustainability, including conceptualising new projects and outputs.
• Assist in the preparation of project proposals related to AI governance, climate and sustainability in international law.
• Support the planning, development and organisation of seminars, workshops and conferences, and present research at academic seminars and similar fora.
• Monitor and analyse developments in international law related to AI, emerging technologies and sustainable development, and prepare briefings and research materials for CIL’s programmes.
• Support and expand CIL’s role in regional and global forums addressing legal frameworks for AI, digital technologies and sustainability.
• Contribute, where appropriate, to CIL’s broader research projects, events and initiatives.
• Reside in Singapore throughout the term of appointment, in accordance with NUS policies on residence and leave.

CIL provides its research staff with extensive professional development opportunities through NUS events, seminars, and training programmes. Staff members also have opportunities to participate in regional and international academic engagements, including conferences, workshops, and symposiums.

Qualifications

• An LLM, JD degree or equivalent experience, preferably with a focus on AI and/or sustainability or climate and environmental governance;
• Demonstrated scholarly interest in AI and technology law, together with a clear interest in sustainability or climate and environmental governance in international law;
• Proven strong research and writing capabilities, evidenced by publications, working papers or a high-quality dissertation;
• Strong analytical skills to navigate the intersections of AI, sustainability and international law, and to conduct both independent and collaborative research;
• High level of self-motivation and organisational skills, including the ability to manage research tasks, coordinate activities and consistently meet deadlines;
• Ability to collaborate effectively within a team, with excellent oral and written communication skills, and proficiency in relevant IT tools that facilitate research and collaboration.

Application Procedures

Interested applicants are invited to submit their applications through the NUS Career Portal with the following supporting documents:

• A cover letter outlining relevant experience, motivation for joining CIL, and research interests;
• A detailed curriculum vitae (maximum three pages) setting out educational background and work history
• University transcripts
• One sample of written work
• Names and contact information of at least three (3) referees.

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at huong.tam@nus.edu.sg

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-Associate-in-Institute-of-South-Asian-Studies-%28South-Asia%29/33467-en_GB/

We regret that only shortlisted candidates will be notified.

Research Associate (South Asia)

Established in 2004, the Institute of South Asian Studies (ISAS) is an autonomous research institute at the National University of Singapore. It is dedicated to research on contemporary South Asia. The Institute seeks to promote understanding of this vital region of the world, and to communicate knowledge and insights about it to policy makers, the business community, academia and civil society, in Singapore and beyond.

The Institute of South Asian Studies (ISAS) at the National University of Singapore is seeking to appoint a Research Associate to its research team.

Focus Areas

Candidates should have research interests in one or more of the following areas relating to South Asia:

• International Relations, Multipolarity and Multilateralism
• Politics, Society and Governance
• Trade and Economics
• Strategic Technologies
• Sustainability and the Environment

Requirements

• A Master’s degree in International Relations, South Asian Studies or a related discipline
• Strong theoretical and empirical grounding in South Asian politics, society, economics, development and/or international relations
• Demonstrated research and writing abilities, preferably with a focus on South Asia

Application

Interested candidates are invited to submit their cover letter, detailed curriculum vitae and a writing sample (an authored article related to South Asia) in PDF attachment. 

Remuneration will commensurate with qualifications and experience.

We regret that only shortlisted candidates will be notified.

The Division of Information Technology and Operations Management at Nanyang Business School is inviting applications for a Research Assistant or Associate (RA) position. The role is expected to begin in June 2026 or thereafter.

Job Responsibilities:

• The RA is expected to plan, organize and implement research projects, in collaboration with the principal investigators. The successful candidate will work closely with professionals in the field of AI, technology and medicine.

• Conduct literature reviews, coordinate schedules for data collection with survey and interview participants

• Assist in data collection, data transcription and analysis

• Contribute to the dissemination of research findings

Job requirements:

• Minimally a bachelor’s degree in a related field

• Excellent oral and written communication skills is required

• Able to work independently and meet deadlines

• Experience with qualitative methods and data analysis

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

We are seeking to appoint a Research Associate to support research in cybersecurity, trustworthy AI, and large language model security. The successful candidate will contribute to projects related to privacy-preserving AI interactions, trustworthy knowledge acquisition, and secure information processing in security-sensitive AI systems. The role will involve assisting in the design, implementation, and evaluation of methods for reducing privacy leakage, mitigating adversarial risks, and improving the security and trustworthiness of LLM-based systems. The candidate will also support the construction of research benchmarks, experimental evaluation, and the preparation of high-quality research publications. This position will contribute to NTU’s mission of advancing secure and trustworthy intelligent systems through interdisciplinary research in cybersecurity and artificial intelligence.
 

Key responsibilities:

• Conduct research on cybersecurity, trustworthy AI, and large language model security, with a focus on privacy-preserving AI interactions and secure information processing.

• Design, implement, and evaluate methods for trustworthy knowledge acquisition in LLM-based systems, including approaches to reduce privacy leakage and mitigate adversarial risks.

• Develop learning-based and evaluation-driven approaches to improve the security, reliability, and trustworthiness of AI systems in security-sensitive scenarios.

• Construct experimental platforms, benchmarks, and datasets for evaluating LLM security, privacy protection, and trustworthy AI applications.

• Conduct empirical experiments, performance analysis, and ablation studies to validate proposed methods and support reproducible research.

• Prepare and co-author high-quality research papers, technical reports, and project documentation, and collaborate with academic and industry partners on related research projects.

Requirements:

• A Master’s degree in Computer Science, Cyber Security, Artificial Intelligence, or a related discipline.

• Research or applied experience in cybersecurity, trustworthy AI, large language model security, privacy-preserving AI, or related areas.

• Experience with LLM-based systems, trustworthy knowledge acquisition, information retrieval, query rewriting, or AI security evaluation.

• Familiarity with privacy leakage, adversarial risks, secure information processing, and trustworthiness evaluation in AI or LLM-based systems.

• Experience in designing and conducting empirical experiments, including benchmark construction, dataset preparation, performance evaluation, and ablation analysis.

We regret to inform 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-Associate-%28Data-Engineering%29/33302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs — to deliver a unified, query table, and secure data platform that drives research, operational decision-making, and stakeholder dashboards. 

Key Responsibilities
1.  Environmental Data Platform
•    Design, build, and maintain a unified database to ingest and store diverse environmental data streams: rain gauge records, gridded temperature data, rainfall radar (e.g. OPERA, NEXRAD), satellite imagery, and computer vision model outputs.
•    Define and enforce common data schemas and ontologies across heterogeneous source formats (NetCDF, HDF5, GeoTIFF, CSV, JSON, REST/API feeds).
•    Implement scalable ingestion pipelines supporting real-time streaming and batch historical loads.
•    Ensure data traceability with robust metadata, provenance tracking, and versioning.

2.  Data Processing & Quality Assurance
•    Develop and maintain automated pipelines for data cleaning, outlier detection, and quality flagging.
•    Implement missing-data imputation methods appropriate to environmental time-series and spatial fields (e.g. interpolation, climatological fill, ML-based gap-filling).
•    Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote-sensing data types.
•    Document processing logic and maintain reproducible workflow configurations. 

3.  Visualisation & Dashboards
•    Design and develop interactive dashboards for operational and research users, displaying spatial maps, time-series plots, and aggregated statistics.
•    Integrate visualisation tools (e.g. Grafana, Superset, Plotly Dash, or custom web front-ends) with the data backend.
•    Collaborate with domain scientists to translate monitoring requirements into effective visual analytics.
•    Ensure dashboards remain performant and responsive under live data load. 

4.  Data Security & Governance
•    Implement and maintain role-based access control (RBAC) for all data assets.
•    Enforce data encryption at rest and in transit; manage secrets and credentials securely.
•    Support compliance with relevant data governance policies and institutional data-sharing agreements.
•    Maintain audit trails and access logs; respond to security reviews and risk assessments.

5.  Infrastructure & Operations
•    Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance.
•    Maintain CI/CD pipelines for data pipeline code; apply version control best practices.
•    Monitor pipeline health, set up alerting for failures, and respond to incidents.
•    Contribute to infrastructure-as-code practices (Docker, Kubernetes, Terraform or equivalent)

Job Requirements

•    Possess at least a Master’s degree in computer science, Data Engineering, Environmental Informatics, or a closely related field.
•    3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data.
•    Proficiency in Python (pandas, NumPy, xarray, or similar) and SQL; experience with at least one workflow orchestration tool (Airflow, Prefect, Luigi, etc.).
•    Hands-on experience with geospatial or scientific data formats: NetCDF, HDF5, GeoTIFF, GeoJSON, or similar.
•    Working knowledge of relational and time-series databases, with practical experience in data modelling.
•    Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
•    Solid understanding of data security principles: encryption, RBAC, secrets management. 
•    Open to fixed-term contract. 

Experience
•    Experience with environmental, meteorological, or hydrological datasets (radar QPE, NWP outputs, IoT sensor networks).
•    Familiarity with PostGIS or other spatially enabled database extensions.
•    Exposure to machine learning pipelines or MLOps practices for model output ingestion.
•    Experience building dashboards with Grafana, Apache Superset, Plotly Dash, or equivalent.
•    Contributions to open-source scientific data tooling (e.g. xarray, GDAL ecosystem).

Core Competencies
•    Preferably knowledge with Python, SQL, Bash
•    Time-series & geospatial DBs
•    Data pipeline orchestration
•    Cloud & containerisation
•    Dashboard & BI tools
•    Data security & RBAC

School of Electrical and Electronic Engineering (EEE) 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 undergraduate 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

EEE / Satellite Research Centre (SaRC):

SaRC is dedicated to performing R&D projects in space science and technology. SaRC has successfully developed, launched, and operated 13 satellites in orbit (2023). The Centre has more than 12 years of accumulated experience and data for satellite design and operation. SaRC has a full-fledged of facilities to realize spacecraft simulation, testing, integration, and operation. The engineering laboratory, clean rooms and mission control room are equipped with specialized equipment such as the thermal vacuum chamber and S/X band 6.1m antenna dish. SaRC is working closely with local SME, regional MNC, universities, and space agencies. The objective is to share and collaborate with international expertise to achieve excellence in space.

Key Job Purpose:

We are looking for a Research Associate to work on data assimilation system for regional numerical weather prediction (NWP) system. The role will focus on exploring and adding new space-based observations in the next-generation NWP system jointly developed by the Climate and Weather Research Alliance Singapore (CAWRAS). The candidate needs to have a good working knowledge in data assimilation methods such as 3D/$D-var, Ensemble methods and Kalman filters. Familiarity w JEDI-based data assimilation system is a good advantage. Prior knowledge and experience in satellite observation, pre-processing, quality control, error modelling and correction are an advantage. Good programming experience is required (eg: Python, Fortran, C++).

Key Responsibilities:

• Assimilate new satellite observations

• Analyze the impact of data assimilation on weather prediction

• Perform data-preprocessing, quality control, error modelling and correction

• Write reports and scientific publications

Job Requirements:

• Master qualification degree in Engineering or Computer Science or related field

• Familiarity w data assimilation and data processing

• Good written and oral communication skills

• Proficiency in programming and analysis

• Competent in data analysis and quality control

• Ability to work independently and as a team member

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