Total 50 science rd research job vacancies in F&B / Tourism / Hospitality category in Hong Kong

After School Enrichment Teacher 

Subject: English language / Maths / Sciences (Preferably can teach at least two subjects)
Location: Bukit Timah Plaza,  Thomson Plaza, Parkway Centre (Discuss the location during the interview but you will need to travel to multiple Centres when needed) 
Working days and time: Monday to Friday [During school term: 9.30am-7pm / During school holidays: shifts between 7am-7pm]
Salary: $2500-$3500

Job Description

A. Student Care

• Support the daily operations of the centre, including both administrative and teaching duties. 
• Ensure customer care experience for both prospective and existing clientele (from handling enquiries and collecting payments). 
• Ensure the overall safety of the learning environment•
• Prepare progress reports for students on a termly basis

B. Holistic Enrichment

• Prepare materials and deliver enrichment lessons for students on designated days. 
• Plan and facilitate special events and/or excursions during MOE-scheduled school holidays. 

C. Academic Teaching

• Deliver lessons for assigned classes (in-house curriculum provided). 
• Effectively utilise teaching materials to create a stimulating and engaging learning environment. 
• Mark and grade students’ assignments with value-added feedback. 
• Perform required classroom administration responsibilities. 
• Connect with students' parents through regular written and/or verbal feedback. 
• Participate in level meetings/subject-sharing sessions

Job Requirements:

• Must be able to teach one of the subjects from P1 to P6 (English language / Mathematics / Science). 
• Bachelor's degree or equivalent. 
• Familiar with latest MOE syllabus. 
• At least 2-3 years of teaching experience. 
• Have experience teaching in group settings (of between 4 to 12 students).

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SHEE YOKE RU|R26161758 | The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Events & Research Coordinator (3-Month Temp) #HMS

About the Role

Are you passionate about applying psychological research to drive meaningful social impact? We are seeking an Associate Psychologist to support programme development, implementation science initiatives, and evidence-informed practice improvements within the social service sector.

This role is ideal for Psychology graduates with strong analytical skills who are interested in research, data analysis, and programme evaluation while contributing to initiatives that strengthen professional practices and service delivery.

Key Responsibilities

• Conduct literature reviews and evidence syntheses to support programme development and evaluation initiatives.

• Collect, analyse, and report data to inform programme improvements and implementation efforts.

• Set up and manage datasets of varying complexity and develop dashboards for research and operational insights.

• Support the design and execution of implementation and evaluation projects, including developing surveys and interview guides.

• Collaborate with internal and external stakeholders to identify innovative practices and technological solutions to enhance professional practice and work processes.

• Prepare reports, presentation materials, and knowledge-sharing resources for internal and external stakeholders.

Requirements

• Degree in Psychology or a related Social Science discipline.

• Good understanding of data management practices and basic statistical analyses.

• Strong interpersonal, written, and verbal communication skills.

• Proficiency in Microsoft Office applications, particularly Word and Excel.

• Ability to work independently and manage multiple priorities within tight timelines.

Preferred Qualifications

• Degree with at least Second-Class Honours or equivalent.

• Familiarity with implementation science concepts.

• Experience with data visualisation tools such as Power BI or Tableau.

• Knowledge of data analysis software such as SPSS, R, or STATA.

• Familiarity with AI-related tools.

• Experience in digital communications or design tools such as Canva, Adobe Photoshop, Piktochart, or video editing software.

• Prior research experience through academic projects, internships, or employment.

Why Join Us?

• Gain valuable experience in programme development and implementation science.

• Work alongside experienced psychology professionals in a collaborative environment.

• Develop expertise in research, data analytics, and evidence-informed practice.

• Contribute to initiatives that create positive social impact in Singapore.

Job Description

The project is related to exploration and application of artificial intelligence (AI) in design, analysis, discovery and validation of new ferroelectric and piezoelectric material for high-performance energy conversion or signal transmission functions. The materials particularly include ferroelectric and piezoelectric single crystals and thin films as demanded for producing competitive MEMES devices and ultrasonic transducers. The job scope covers design, growth, evaluation and analysis of ferroelectric and piezoelectric materials and related database generation for AI implementation, and relevant validation and demonstration.

Requirements:
• Ph.D in physics, material science, engineering; or a bachelor/master degree holder with expertise and skills related to data science (Scientist or Engineer position)
• Passion in creating new ferroelectric and piezoelectric materials, or application of AI in analyzing and discovering ferroelectric and piezoelectric materials.
• Any of R&D experience below: ferroelectric and piezoelectric characterization and analysis; data science, machine learning for design and validation of new materials; growth of piezoelectric single crystal; solid-state crystal growth; fabrication of ferroelectric thin films and ceramics.
• Good track record in technical publication, high performance record in university, or verifiable experience in the relevant areas as stated above.

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.

We are seeking a proactive and detail-oriented professional to lead the administration and governance of industry and research collaborations.

• Basic Up to $6,500 + Attractive Bonuses
• West Area
• Permanent role

Responsibilities:

• Lead the full lifecycle management of College-level research agreements, including pre-contract advisory, drafting, internal clearance, negotiation support, execution, amendments, extensions, and project closure.
• Advise faculty and stakeholders on appropriate agreement structures, templates, and collaboration processes, ensuring alignment with University policies and governance requirements.
• Review agreements and key contractual clauses, identifying governance, compliance, operational, intellectual property, liability, and risk considerations prior to legal submission.
• Coordinate with Schools, faculty, central offices, and external stakeholders to facilitate timely negotiations, issue resolution, execution of agreements, and proactive management of bottlenecks or risks.
• Support College-level research initiatives and partnerships through the preparation of strategic reports, briefing notes, presentations, and summaries for leadership, senior management, and funding agencies.

Requirements:

• Possesses a Bachelor's Degree with 3 - 5 years of relevant experience in research administration, research agreements, research partnerships.
• Experience in managing complex research or industry agreements and engaging multiple internal and external stakeholders.
• Familiarity with Singapore’s research, innovation, and enterprise (RIE) ecosystem, including public-sector research funding and collaboration frameworks, would be advantageous.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec ‘s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd – 11C5781

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking an outstanding Senior Research Scientist to lead cutting-edge research in Artificial Intelligence, Computer Vision, Vision-Language Models (VLMs), Multimodal AI, and Agentic AI Systems.

The successful candidate will drive the development of next-generation AI technologies for healthcare, biomedical, and scientific applications, translating fundamental AI advances into impactful real-world solutions.

Key Responsibilities

Research & Innovation

• Lead and conduct high-impact research in Artificial Intelligence, Machine Learning, and Computer Vision.
• Develop novel algorithms and models in areas such as:
• Multimodal Learning
• Foundation Models
• Generative AI and Large Language Models
• Computer Vision
• Agentic AI Systems
• Design scalable AI systems capable of integrating heterogeneous data sources, including imaging, sensor, text, and clinical data.
• Develop methodologies for prediction, reasoning, decision support, and knowledge discovery.

Translational AI

• Drive the development of reusable AI platforms, foundation models, and intelligent agent systems.
• Translate AI innovations into healthcare, biomedical, and scientific applications.
•  Lead collaborations with clinicians, scientists, academic institutions, government agencies, and industry partners.
• Contribute to technology transfer, intellectual property generation, and commercialization opportunities.

Scientific Leadership

• Publish high-quality research in leading AI, machine learning, and application-domain conferences and journals.
• Contribute to grant proposals, project planning, and intellectual property development.
• Mentor junior researchers, engineers, and students.
• Represent IHPC in collaborations with academic, clinical, government, and industry partners.

Requirements

Essential

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Biomedical Engineering, or a related discipline.
• Strong track record in AI/ML research demonstrated through publications, patents, or impactful projects.
• Strong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
• Experience developing and evaluating machine learning and deep learning models.

What We Offer

• Opportunity to work on nationally significant AI initiatives.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting both fundamental AI research and real-world translation.

Job Description

The AI Research Scientist will contribute to clinical foundation model workstream for primary-care decision support. The role will focus on adapting open and/or institutionally approved foundation models to Singapore primary-care use cases, such as hypertension and cardiometabolic-renal multimorbidity scenarios involving diabetes, dyslipidaemia, CKD risk, medication burden, preventive care and follow-up planning.

The scientist will prepare structured training and evaluation data from clinical vignettes, synthetic cases, guideline-grounded Q&A, and eHINTS-like longitudinal data extracts where available. The role will support supervised fine-tuning, reinforcement learning or preference alignment experiments, and model evaluation against clinical templates, guideline compliance, safety constraints and usability requirements.

Key Responsibilities

• Prepare model-ready datasets from clinical vignettes, synthetic consultation cases, longitudinal records and guideline-derived tasks.
• Develop and run fine-tuning, instruction-tuning, preference-alignment and/or retrieval-augmented generation experiments for GP-oriented clinical tasks.
• Implement evaluation scripts for guideline adherence, factuality, safety alerts, medication recommendations, missing-data handling and structured output quality.
• Support multimodal and longitudinal data modelling where patient histories, lab trends, medications, notes and care plans need to be represented over time.
• Work with clinical collaborators to translate hypertension and multimorbidity requirements into model tasks, prompts, labels and acceptance criteria.
• Document experiments, datasets, model cards, limitations and reproducibility steps for internal review.

Required Qualifications and Skills

• PhD Degree in computer science, AI, biomedical informatics, computational science, data science or a related quantitative field.
• Hands-on experience with Python and modern deep-learning frameworks such as PyTorch, Hugging Face Transformers, vLLM or equivalent.
• Working knowledge of LLM fine-tuning, prompt engineering, retrieval-augmented generation, evaluation pipelines and reproducible ML experimentation.
• Ability to process structured and unstructured clinical data safely, including tabular records, notes, medications, lab values and guideline documents.
• Good understanding of model evaluation, error analysis, data quality control and responsible AI practices in healthcare or other high-stakes domains.

Preferred Experience

• Experience with clinical NLP, medical LLMs, healthcare datasets, FHIR/EMR-style data, or guideline-based decision support.
• Experience building synthetic data, simulation-based cases, or benchmark datasets for healthcare AI.
• Familiarity with primary-care chronic disease management, especially hypertension, diabetes, lipids, CKD risk and medication safety.
• Experience with GPU-based model training, experiment tracking, and deployment-oriented inference optimization. 

Job Summary

About Us

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs), agentic AI and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health. We are looking for AI (Senior)Scientist strong applied AI skills ready to build large-scale systems, and you will contribute to innovations that make real impact in healthcare.

Key Responsibilities

• Research & DevelopmentDevelop novel architectures, training strategies, and optimization methods for LLMs, agentic AI, vision foundation model and multimodal foundation models.Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.
• Translation & CollaborationPrototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.
• Scientific LeadershipPublish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).Contribute to open science initiatives (datasets, model releases, benchmarks).Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Qualifications

Minimum Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, vision foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.

Preferred Qualifications

• Experience in large-scale LLM and/or foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

What We Offer

• Opportunity to push the frontiers of AI research while delivering real-world healthcare impact.
• A multidisciplinary environment with leading AI scientists, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Support for publications, conference participation, and translational pathways including licensing and spin-offs.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Senior Research Scientist to conduct cutting-edge research in Artificial Intelligence and Machine Learning, with a focus on advancing AI-driven scientific discovery across healthcare, life sciences, biology, and biomedical research.

The successful candidate will lead the development of next-generation AI technologies, including foundation models, multimodal learning systems, scientific machine learning, generative AI, and agentic AI systems that accelerate scientific discovery and translate research innovations into real-world impact.

Key Responsibilities

Research & Innovation

• Develop AI models and platforms that accelerate discovery in healthcare, life sciences, and biomedical research.
• Advance foundation models that learn from large-scale biological, clinical, molecular, and scientific datasets.
• Develop AI systems for:
• Multi-omics analysis
• Drug discovery and therapeutic development
• Precision medicine
• Biomarker discovery
• Disease prediction and prognosis
• Scientific knowledge extraction and reasoning
• Build agentic AI systems capable of hypothesis generation, experiment design, scientific reasoning, and autonomous discovery.
• Develop methodologies that integrate experimental data, simulations, scientific literature, and domain knowledge to support scientific decision-making and discovery.

• Collaborate with clinicians, biologists, healthcare researchers, and domain scientists to translate AI innovations into real-world applications.
• Drive the development of reusable AI platforms, foundation models, and scientific discovery systems.
• Contribute to technology transfer, intellectual property generation, and commercialization opportunities.
• Lead collaborations with academic institutions, healthcare organizations, government agencies, and industry partners.

Scientific Leadership

• Publish high-impact research in leading AI, machine learning, healthcare, and scientific journals and conferences.
• Contribute to grant proposals, project planning, and strategic research initiatives.
• Mentor junior researchers, engineers, and students.
• Represent IHPC in collaborations with academic, healthcare, government, and industry partners.

Requirements

Essential

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computational Biology, Biomedical Engineering, Computer Engineering, or a related discipline.
• Strong track record in AI/ML research demonstrated through publications, patents, or impactful projects.
• Strong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
• Experience developing and evaluating machine learning and deep learning models.
• Experience working with large-scale datasets and computational infrastructure.
• Strong interest in applying AI to scientific discovery, healthcare, and life science challenges.

Preferred

• Experience in one or more of the following areas:Foundation Models for ScienceComputational Biology and Multi-OmicsDrug Discovery and Molecular ModelingBiomedical AIPrecision MedicineScientific Knowledge GraphsScientific Reasoning and Agentic AI SystemsHealthcare AI and Clinical Decision SupportGenerative AI for Scientific Discovery

What We Offer

• Opportunity to work on nationally significant AI for Science, Healthcare, and Life Sciences initiatives.
• Access to world-class computational infrastructure, large-scale scientific datasets, and advanced research facilities.
• Collaboration with leading AI researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting both fundamental AI research and translational impact.
• Opportunities to shape the future of AI-driven scientific discovery and healthcare innovation.