Total 2,106 Science / R&D / Research job vacancies in Overseas

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.

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:

• Designing and developing scalable algorithms for building Data+AI systems.

• Writing research papers of high quality based on research results

• Building deployable Data+AI systems based on the research results.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• 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.

• 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.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local production of its fiber (vegetables, mushrooms etc.) by 2035. The candidate would be working in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

The successful candidate will work in Work Package 3.3: Urban Demo Lab. In this role, you help translate research results from across the program into demonstrators and settings for collaborative exploration that allow key stakeholders to engage with emerging food production technologies – and each other. The Urban Demo Lab serves as a platform where researchers, industry partners, and other stakeholders explore applications, provide critical design feedback and identify opportunities for further innovation: it serves as an attractor for future projects and strategic alliances that maximize the urban impact of ongoing research and development.

As an innovation facilitator, your work provides the active interface that is needed between research, technology translation, and stakeholder engagement. By stimulating dialogue and collaborative learning, you identify critical friction zones and promising ways forward, effectively accelerating the uptake of scientific innovations in real-world applications.

Key Responsibilities:

• Collaborate with research teams to identify key elements of research suitable for demonstration.

• Facilitate workshops, meetings, and stakeholder sessions to explore research outcomes, gather feedback, and identify innovation opportunities.

• Translate scientific insights into demonstrators, prototypes, or other formats such as an overall performance dashboard that communicate application potential to diverse audiences.

• Contribute to identifying and engaging potential partners or funders interested in further development of promising ideas.

Job Requirements:

• Completed PhD in a relevant field (e.g., food systems, food production, sustainability transitions or related fields).

• Systems thinker with an interest in innovation in food production and controlled environment agriculture

• Experience translating scientific research into practical applications, demonstrators or stakeholder-facing outputs.

• Excellent communication skills and ability to work across disciplinary and organizational boundaries.

• Experience facilitating interdisciplinary collaboration, workshops, or stakeholder engagement is an advantage.

We seek 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 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.

Key Highlights:

• Office Hours: Monday-Friday
• Nearest MRT: Buona Vista MRT Station
• Be a part of a longitudinal research study on child and youth resilience in out-of-home care, supporting research activities.

Key Responsibilities:

• Support content review processes by checking accuracy, consistency, and completeness across research materials and outputs
• Assist in proofreading, copyediting, and formatting of research manuscripts and reports
• Coordinate review workflows involving internal teams and external collaborators to ensure timely feedback and approval cycles
• Support preparation and collation of materials for dissemination activities, presentations, and stakeholder engagements
• Perform administrative support tasks including drafting emails, scheduling meetings, and documenting meeting minutes
• Maintain proper documentation of research workflows, data handling processes, and project outputs to ensure transparency and traceability
• Assist the team with general coordination and operational support for ongoing research projects

Key Requirements:

• Background in social sciences such as psychology, sociology, economics, media/communication, or related fields
• Prior experience in research support roles is advantageous
• Familiarity with qualitative and/or quantitative research methods is preferred
• Understanding of social science research methodologies and basic statistical reporting is an advantage
• Strong writing, editing, and proofreading skills with attention to detail
• Proficiency in data handling tools such as Excel; knowledge of SPSS, R, Python
• Strong organisational skills with the ability to manage multiple tasks and deadlines
• Effective communication skills and ability to work collaboratively in a multidisciplinary team
• Meticulous, detail-oriented, and committed to producing accurate and high-quality work

Only shortlisted candidates are notified. Thank you.

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BGC Group Pte Ltd (Outsourcing Department)

EA 05C3053

Position : Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

If you are keen to apply, please send me your resume and job applied for on WhatsApp at 9789 3505 or email me at anabel.thesupreme@gmail.com (˶ᵔ ᵕ ᵔ˶)

❄️Anabel Boon Xue Qi | Recruitment Consultant (R25159272) |

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

Job Duties

• Under broad direction, leads the selection and development of composites, elastomers, plastics, lubricants, and other non-metallic material systems across multiple complex projects, applying advanced materials engineering principles.
• Drives end-to-end materials development, including formulation, processing, qualification, and field deployment.
• Serves as a subject matter expert in non-metallic materials and processes for molded, formed, and formulated products.
• Leads investigation and deployment of alternative materials and processes to improve performance, reliability, and cost.
• Integrates data-driven and AI-enabled approaches into materials design, optimization, and scale-up workflows.
• Provides technical leadership on strategic material sourcing and supplier engagement.
• Advises on resolution of complex field and manufacturing issues, with direct impact on product performance and service quality.
• Embeds reliability, HSE, quality, and project management rigour across all activities.
• Contributes directly to value creation through technology differentiation and performance improvement.

Requirements

• Undergraduate degree in Materials Science, Chemistry, Chemical Engineering, or related discipline with ~10–15 years of relevant experience.
• Advanced degree (MS/PhD) preferred.
• Demonstrated depth in non-metallic materials systems (polymers, elastomers, composites) and their processing.
• Experience applying data science and/or AI/ML methods to accelerate materials development or optimize performance is highly desirable.
• Track record of leading complex technical programs and influencing cross-functional stakeholders.

Key priorities/expectations

• Deliver differentiated non-metallic material systems for demanding applications.
• Accelerate development cycles through integration of modelling, data, and AI tools.
• Provide technical leadership across projects and mentor junior engineers/scientists.
• Anchor reliability and field performance in all material selections and designs.

Key skills & competencies

• Non-metallic materials systems (polymers, elastomers, composites)
• Materials development & qualification (formulation → field deployment)
• Data-driven / AI-enabled materials design and optimization

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/Global-Research-Partnerships-Consultant-%28Part-Time%29/33472-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Centre

The Centre for Biomedical Ethics (CBmE), Yong Loo Lin School of Medicine, National University of Singapore, is a leading centre for teaching, research and engagement in biomedical ethics, health law, clinical ethics, research ethics, public health ethics, AI ethics, neuroethics and related fields.

CBmE is responsible for the development and delivery of the Health Ethics, Law and Professionalism programme across the undergraduate medical curriculum, and also contributes to postgraduate and continuing professional education in bioethics. The Centre works closely with academic, clinical, policy, regulatory and professional stakeholders in Singapore and internationally.

As CBmE continues to grow its international research profile, regional partnerships and global engagement, the Centre seeks to appoint a part-time International Research Partnerships Consultant to provide specialist support for international research collaboration, strategic academic partnerships, grant development and outward-facing academic engagement.

About the role

The Part-Time Consultant will support the Centre’s international collaborations, strategic partnerships and outreach beyond Singapore. The role is intended to strengthen CBmE’s international profile and research development capacity by supporting the identification and development of international collaborations, research networks, funding opportunities and strategic initiatives. It is a part-time, advisory and project-based role.

The appointment will be offered on a part-time consultancy basis for up to 25 hours per week, subject to agreed deliverables.

Responsibilities of the role as below:

• Support the Head of CBmE in international engagement strategy, including priority regions, institutions, networks and partnership opportunities aligned with the Centre’s mission in biomedical ethics, health policy, research ethics, clinical ethics, neuroethics, AI ethics and related areas.
• Identify and assist with large international grant opportunities
• Identify, maintain or facilitate philanthropic support opportunities, including working with the Development Office of YLLSOM
• Work with CBmE academic and leadership teams to identify areas where international collaboration can strengthen research impact, policy engagement, education, public engagement and capacity building.
• Provide academic development support for international initiatives, including scoping new partnership models, shaping value propositions, preparing concept notes, and advising on pathways for collaborative programmes, networks, funding opportunities and thought leadership activities, including identifying new income stream opportunities.
• Support CBmE’s international positioning by identifying emerging trends and opportunities, and advising on how CBmE can contribute to international debates and collaborations.
• Support the development of outward-facing international materials, including partnership briefs, strategic narratives, concept papers, talking points and presentations for external stakeholders.
• Help track and review the progress of selected international engagement opportunities, including key contacts, next steps, strategic value and possible follow-up actions for CBmE leadership.
• Assist the Head in international engagement, impact, and research as required.
• Undertake other strategic liaison, advisory and partnership development duties as agreed with Head of CBmE, within the scope of the consultancy.

Qualifications

ESSENTIAL CRITERIA

Applicants should have:

• A good degree, in a field relevant to bioethics.
• Significant experience in research management in an international context, research facilitation, academic centre administration and strategic research support within the University sector.
• Experience supporting academic collaborations involving more than one institution, country or region.
• Experience with grant development, funding applications, research budgets, funder liaison, grant reporting or research portfolio coordination.
• Experience preparing reports, briefings or materials for donors, philanthropic partners, funders or senior institutional stakeholders.
• Strong understanding of how academic research centres operate, including the relationship between research, grants, partnerships, institutional processes and external engagement.
• Excellent written and oral communication skills, including experience preparing high-quality materials for academic, institutional, funder, donor, policy or senior stakeholder audiences.
• Strong organisational skills, sound judgment, discretion and professionalism.
• Ability to work independently in a part-time advisory role while collaborating constructively with academic, administrative and leadership colleagues.

DESIRABLE CRITERIA

• Experience working in or with a leading research-intensive university or internationally recognised academic institute.
• Experience in working with biomedical ethics, practical ethics, health policy, clinical ethics, research ethics, AI ethics, neuroethics, public health ethics or a related area.
• Experience supporting the development or growth of a research centre, academic programme, research network or strategic initiative.
• Experience supporting substantial externally funded research portfolios.
• Experience working across time zones, institutional systems and cultural contexts.

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-%28structural-system-analysis%29/33487-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) invites applications for a postdoctoral Research Fellow position under the supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. The successful applicant will lead the design and verification of a novel modular long-span structural system and contribute to constructional metal 3D printing research in the later stage of the project.

The Research Fellow is expected to:
•    Propose conceptual structural systems for modular long-span transfer slab/truss assemblies.
•    Analyse structural performance under static loading, vibration, and elevated temperatures.
•    Assess productivity, constructability, and carbon footprint of novel structural system.
•    Finite element analysis of composite structural systems and joints.
•    Contribute to metal 3D printing research and its effective use in construction.

Job Requirements

Essential:
•    Possess a PhD in Civil and Structural Engineering.
•    A strong portfolio of research and publications related to structural engineering, especially on structural system analysis and finite element modelling.
•    Excellent communication and collaboration skills.

Desired:
•    Practical experience in structural design and construction industry
•    Building information modelling 

Our client is one of the leading players in the medical devices manufacturing sector. Due to business needs, they are now recruiting a Quality Engineer to be part of their Quality team for ongoing transformation projects. They are located in the east.

The Quality Engineer's responsible is:

• Act as the Quality representative for new product development and sustaining projects within the medical device portfolio.
• Provide quality and compliance support throughout the product development lifecycle, including design changes, design reviews, verification & validation, usability studies, process validation, and labeling activities.
• Lead risk management activities, including Risk Management Plans, Hazard Analysis, Risk/Benefit Assessments, and Design/Process FMEA.
• Partner with cross-functional teams to identify product risks, investigate potential failure modes, and implement effective risk control measures.
• Ensure compliance with ISO 13485, FDA regulations, customer requirements, and applicable quality standards.
• Develop, review, and maintain quality procedures, SOPs, and documentation to support product development and Quality Management System (QMS) requirements.
• Support internal, supplier, and external audits, including the investigation and closure of non-conformities.
• Drive continuous improvement initiatives to enhance product quality, process effectiveness, and QMS compliance.
• Serve as a Quality Subject Matter Expert (SME) and provide guidance to engineering and project teams on quality and regulatory matters.

Job Requirements:

• Degree in life science related discipline
• Min 5 years experience in quality design within medical devices sector
• Experience in ISO13485

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R2198636 (Oh Puey Xin)

• Location:  Woodleigh
• Working Days: 5.5day
• Working Hours -Monday to Friday 1030am to 7pm- Saturday 9.30am to 1.30pm
• Salary : $2,200 - $3,400

Job Responsibilities

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 5) to ensure completion of daily homework.
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct unique enrichment programmes.
• Ensure safety and timely transfer of students from school to student centre.
• Ensure safety of children within the premises.
• Any other ad-hoc duties as delegated by Centre Director.

Job Requirements

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Basic Salary: $3000-$3500
Working Hours: Mon-Fri | 10am-7pm
Working Location: Near Farrer Park MRT

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct franchise unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements

• Diploma or higher in Math or Science.
• Minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects (Preferably Both Math & Science)

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

• Drive the design and implementation of a mathematics programme that reflects international school standards and best practices.
• Champion Singapore Math approaches across grade levels, adapting them to suit diverse student backgrounds.
• Lead professional learning through workshops, coaching, and mentoring to strengthen teacher expertise.
• Collaborate with school leadership to monitor student progress, refine teaching strategies, and raise achievement outcomes.
• Model exemplary mathematics instruction through demonstration lessons, joint planning, and classroom mentoring.

Requirements:

• Recognised teaching qualification with a strong foundation in mathematics education.
• Proven experience coordinating or leading mathematics programmes in an international school setting.
• Deep knowledge of Singapore Math pedagogy and progression pathways.
• Background in teacher training, curriculum development, and instructional leadership.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.