Total 570 Science / R&D / Research job vacancies

Purpose of the Post

Imperial Global Singapore, Imperial College London’s formal research and innovation entity in Singapore, is seeking an experienced senior postdoctoral research fellow for the NH3-SOFC research programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global Singapore (IGS) offices, located on the campus of the National University of Singapore.

The programme aims to develop solid oxide fuel cells that can effectively and efficiently use ammonia directly as a fuel source while maintaining high performance and durability. To overcome challenges related to material compatibility, anode degradation due to nitrification, slow chemical/electrochemical processes, and performance loss, the research will explore new materials, catalysts, and cell designs. There will be two cell types of interest in this programme: i) oxygen-ion and ii) proton-conducting ceramic membrane electrolytes. The project will span the length scales, from materials discovery, including with computational approaches, through mechanical properties and microstructure optimisation to incorporation into short stacks for durability testing.

This post will be dedicated to the development of operando characterisation approaches appropriate to the development of high performance and degradation resistant electrode materials for use in either oxide ion conducting or proton conducting solid oxide fuel cells. The post holder will work closely with the computational team to analyse new candidate materials that demonstrate potential for electrocatalytic ammonia decomposition. Initial candidate materials will include high entropy oxides, nitrides and oxide nitrides, each of which have shown initial promising hydrogen production capabilities. Research will involve the structural and electrochemical characterisation of materials, including in-situ and operando methods, supporting their deployment into short stacks in collaboration with the team at Nanyang Technological University. We will also explore the potential to undertake isotopic ammonia labelling of the electrode candidates.

Candidates will be employed by Imperial Global Singapore, a research division of Imperial College London, consistently ranked within the top 5 of the QS University Rankings. Candidates will be resident and based in Singapore, but there will be opportunities for research visits to Imperial’s London-based locations, and the position is a great opportunity to gain international research experience in the South-East Asian Region.

Contract type: Full-time fixed term until 30 September 2027 (A minimum six-month extension is anticipated and potential further renewal for an additional three to five years). Post will be subject to 3 months’ probation period. 

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Professor Stephen Skinner s.skinner@imperial.ac.uk.

Questions about the recruitment process, should go to the HR at Imperial Global Singapore hrigsingapore@imperial.ac.uk.  

Key Responsibilities

The post-holder will be required to develop strong working relationships with a range of stakeholders and work independently in the role. They will bring technical knowledge to the programme and work with the researchers to publicise the programme. Based at IGS at CREATE Tower on the National University of Singapore’s campus in Singapore, coordination with Principal Investigators based at NTU and Imperial, as well as occasional travel to Imperial College London in the United Kingdom and synchrotron and neutron facilities will be required.

The successful applicant will perform the following roles/activities:

Research Activities and Laboratory Management

· Write progress reports and prepare results for annual report publication and presentations.

· Undertake a personal programme of research overseen by the project leads in the area of electrode materials development and characterisation for direct ammonia solid oxide fuel cells

· Attend progress and management meetings as required and network with the other research groups where appropriate.

· Attend relevant national and international workshops and conferences as necessary to support the aims of the programme.

Other Duties

· Undertake any necessary training and/or development

· Undertake appropriate administration tasks

· Attend relevant meetings

· Observe and comply with all IGS policies and regulations, including the key policies and procedures

· Undertake specific safety responsibilities relevant to individual roles, as set out by IGS

Positions are based full time in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore

Job descriptions cannot be exhaustive and the post holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

Imperial Global Singapore is committed to equality and values diversity. IGS adheres to Imperial Values and Behaviours framework.

Person Specification 

Requirements

Candidates/post holders will be expected to demonstrate the following Essential (E)/Desirable (D)

Education

a PhD (or equivalent) in any field of materials science, physics, chemistry, or a closely related discipline with a focus on solid oxide cell technologies; (E)

Experience

Practical experience within a research environment and publication in relevant and refereed journals (E)

Practical experience of the advanced structural and electrochemical characterisation of inorganic solid oxides for high temperature operation (E)

Experience in communicating with multiple parties in a vibrant and multidisciplinary and multinational environment (E)

Experience in working in a highly organised manner (E)

Experience in presenting key issues to senior managers and academic staff (E)

Knowledge

Technical knowledge of characterization of solid oxide cells or related/contributing research activities (E)

Knowledge of the stability and degradation phenomena prevalent in solid oxide cells (D)

Mechanistic understanding of the key process occurring in both oxide ion conducting and proton conducting solid oxide cells (D)

Skills & Abilities

Practical experience of operating one or more analytical/characterisation instruments including X-ray diffraction, electron microscopy, thermal analysis, X-ray photoelectron spectroscopy, synchrotron and/or neutron techniques. (E)

Expertise in the processing and analysis of microstructural data, including 2D and 3D tomography (D)

Experience of data analysis from a wide variety of analytical techniques including, but not limited to, X-ray diffraction, Electron microscopy, Electrochemical cell testing, Thermal analysis, etc (E)

Experience of relaxation-based and/or isotopic labelling techniques including the design, handling, and analysis of isotope-enriched materials and experiments for the investigation of diffusion, reaction mechanisms, transport phenomena. (D)

Highly confident and articulate with outstanding communication and persuasive skills both verbally and in writing (E)

Demonstrated ability to undertake operando structural/in-situ materials characterisation (D)

Demonstrated ability to work in a collaborative environment (E)

Ability to transfer skills and knowledge to colleagues effectively (E)

Demonstrated ability to develop and apply new concepts (E)

A creative approach to problem-solving (E)

Excellent organisational and time management skills, ability to prioritise and multi-task (E)

Ability to produce clear, concise and accurate written materials (E)

Highly motivated and enthusiastic in developing the programme (E)

Other

Willingness to work as part of a team and to be open-minded and cooperative (E)

A flexible attitude towards work (E)

Discipline and regard for confidentiality and security at all times (E)

Willingness to undertake any necessary training for the role (E)

Willingness to travel both within the Singapore and to the United Kingdom, and other destinations as required to conduct and disseminate research (E)

Willingness to work out of normal working hours (including weekends) if the requirements of the project demand. (E)

Imperial Global Singapore is committed to equality of opportunity and to eliminating discrimination.  All employees are expected to:

1) Champion a positive approach to change and opportunity

2) Encourage inclusive participation and eliminate discrimination

3) Communicate regularly and effectively within and across teams

4) Consider the thoughts and expectations of others

5) Deliver positive outcomes

6) Develop and grow skills and expertise

7) Work in a planned and managed way

Employees are also required to comply with all IGS policies and regulations, paying special attention to:

• Confidentiality
• Conflict of Interest
• Data Protection
• Equal Opportunities
• Financial Regulations
• Health and Safety
• Information Technology
• Smoking
• Private Engagements and Register of Interests
• The regulations of CREATE Tower and of Singapore

They must also undertake specific training and assume responsibility for safety relevant to specific roles, as set out on the College Website Health and Safety Structure and Responsibilities page. 

IGS observes the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published.

IGS believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. IGS is committed to ensuring that, in cases where this research is deemed essential, animals in are treated with full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to:

http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/ 

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands while working on research projects in SIT. 

About the DIGNIFIED programme

The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with desirable organoleptic and nutritional properties. Our mission is to enhance the quality of life for elderly individuals by creating innovative, nutritious, and visually appealing food products that cater to their specific dietary needs.

Job Description: 

We are seeking a highly motivated Research Fellow to join our team for a fixed-term project. The successful candidate will contribute to the development of food products within the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, with a specific focus on Level 5 (Minced & Moist). This role will involve applying food structure understanding to formulate and optimise products with appropriate texture, appearance, and nutritional quality, while supporting laboratory trials, product evaluation, and data analysis to guide product refinement.

Key Responsibilities:

• Conduct literature reviews on food structure, texture-modified foods, ingredient functionality, and the IDDSI framework, with a focus on Level 5 (Minced & Moist) foods.
• Apply a strong understanding of food structure and structure–property relationships to design and develop elderly-friendly food products with appropriate texture, cohesiveness, moisture retention, appearance, and nutritional quality.
• Plan and conduct laboratory trials to evaluate product performance and support the translation of food structure knowledge into practical formulation strategies.
• Collect, analyse, and interpret experimental data to understand product behaviour and drive iterative product refinement.
• Document formulation rationale, experimental findings, and product development outcomes in technical reports, presentations, and research publications.
• Collaborate with a multidisciplinary team, including food scientists, clinicians, and engineers, to develop products that are scientifically grounded, practical, acceptable, and aligned with end-user needs.

Job Requirements:

• A Ph.D./Doctorate in Food Science, Food Engineering, Materials Science, or a related field with experience in food structure, food materials, texture-modified foods, or a related research area. Only candidates with Ph.D./Doctorate qualification will be considered and possibly shortlisted for an interview. 
• Strong understanding of food structure and structure–property relationships, and their application to food formulation and product development.
• Ability to evaluate how ingredient functionality, microstructure, and processing conditions influence product texture, stability, appearance, and eating quality.
• Strong analytical and problem-solving skills, with the ability to interpret experimental results and translate findings into practical product refinement strategies.
• Proficiency in data analysis software such as Microsoft Excel or other statistical tools.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a multidisciplinary team.
• Demonstrated commitment to strong research ethics and data integrity

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 Summary

Job Purpose

The Knowledge Engineer will be responsible for designing, constructing, and maintaining knowledge graphs derived from heterogeneous enterprise documents. The role involves leveraging Large Language Models (LLMs) for knowledge extraction, ontology-driven structuring, and question answering over knowledge graphs to support intelligent search, reasoning, and decision-making systems.

Key Responsibilities

• Leverage LLMs to extract structured knowledge (entities, relations, attributes) from unstructured and semi-structured documents such as:Maintenance manualsProduct design documentsTroubleshooting guidesLessons learned reports
• Process documents in multiple formats, including Word, PDF, PowerPoint, and Excel.
• Design, construct, and maintain knowledge graphs, including:Schema and ontology designEntity and relationship modellingData normalisation and validation
• Implement and manage knowledge graph storage using graph databases such as Neo4j and GraphDB.
• Develop LLM-powered question answering and interaction pipelines over knowledge graphs, enabling:Natural language queriesContext-aware and explainable responses grounded in structured knowledge
• Collaborate with domain experts and stakeholders to refine ontologies, extraction logic, and use cases.

Required Skills & Experience

• Strong understanding of ontology design, knowledge graph modeling, and semantic data representation.
• Proficiency in Python, with experience building data processing and NLP pipelines.
• Solid understanding of prompt engineering and LLM-based workflows.
• Hands-on experience working with LLMs, including both:Closed-source models (e.g., GPT-based APIs)Open-source models (e.g., LLaMA, Qwen, etc.)
• Experience with graph databases, particularly Neo4j and/or GraphDB.

Preferred / Advantageous Skills

• Experience in information extraction, document understanding, or NLP pipelines.
• Familiarity with RDF, OWL, SPARQL, or Cypher is a plus.
• Experience integrating LLMs with structured knowledge sources (e.g., KG-augmented QA, RAG with graphs).

Key Competencies & Attributes

• Strong analytical and problem-solving skills, with the ability to translate unstructured information into well-defined data models.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Good communication skills to engage with technical and non-technical stakeholders.
• Demonstrated willingness to continuously learn and keep up with advances in LLMs, NLP, and knowledge engineering.

The Energy Research Institute @ NTU (ERI@N) conducts applied research in advanced energy systems and sustainable infrastructure. This position supports an ERI@N-led project on integrating non-conventional geothermal energy into data centre cooling in Singapore.

We are seeking a Research Fellow to lead the development of advanced modelling and design methodologies for integrated hydrogen-energy systems, with a focus on thermal integration of metal hydride storage systems.

The Research Fellow will develop CFD models, process simulations, and system-level integration strategies to enable efficient hydrogen desorption driven by waste heat. The role includes the design and optimisation of thermal management systems, supporting the development of scalable and deployable hydrogen solutions.

The research will directly contribute to the development of applied energy technologies with strong industrial relevance and near-term deployment potential.

Key Responsibilities

• Develop CFD models for thermal management and heat transfer within metal hydride storage systems, including internal heat exchanger design and thermal enhancement strategies.

• Design and optimise heat integration solutions for hydrogen desorption using waste heat from high-temperature systems.

• Develop process flow diagrams (PFDs) and system-level models for integrated hydrogen-energy systems.

• Perform multi-physics modelling (thermal, fluid, and mass transfer) of hydrogen storage and release processes.

• Support system architecture definition, thermal loop design, and control strategies for integrated systems.

• Conduct techno-economic and performance analysis of integrated hydrogen systems.

• Contribute to system integration, commissioning, and experimental validation activities.

• Collaborate with international industrial and academic partners in applied R&D projects.

• Prepare technical reports, scientific publications, and funding proposals.

• Support project management activities, including coordination, reporting, and stakeholder engagement.

• To develop and assess geothermal-driven cooling architectures through modelling, optimisation, and techno-economic analysis, supporting low-carbon cooling solutions for Singapore’s data centre sector.

Job Requirements

• PhD in Mechanical Engineering, Energy Engineering, Chemical Engineering, or related field.

• Strong expertise in CFD (ANSYS Fluent / OpenFOAM or equivalent) for heat transfer and fluid flow.

• Experience in thermal system design and heat integration, preferably involving high-temperature systems.

• Experience with hydrogen systems, metal hydrides, or gas-solid thermal processes is highly desirable.

• Experience in process modelling and simulation (e.g., Aspen, Modelica, MATLAB, Python).

• Strong understanding of heat exchangers, thermal loops, and multi-physics systems.

• Experience in techno-economic analysis and system optimisation.

• Familiarity with system integration and experimental validation is an advantage.

Additional Skills

• Ability to work in applied, industry-driven R&D environments.

• Experience in proposal writing and project management is highly desirable.

• Willingness to travel and work in international environments.

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

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)

WhatsApp me your resume for quicker processing! ☺️
WhatsApp: https://wa.me/6596112291 (Kyra)
Voon Yih Boon Reg No: R22106724 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Qualifications

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

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

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

Key Responsibilities

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

Requirements

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

Preferred Qualifications

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

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

Job Summary

The Incumbent will support the Group's regional business development, strategic partnership, and project assessment initiatives, with a focus on banking, financial technology, and digital transformation opportunities. Working under the guidance of management and senior team members, the role will conduct research, business and operational analysis, market intelligence gathering, stakeholder coordination, and project assessment activities. The incumbent will assist in evaluating business opportunities, preparing analytical reports, and coordinating with Group companies, business partners, and prospective clients across the region to support the Group's strategic growth objectives.

The incumbent will work closely with and report regularly to the Japan Headquarters on regional initiatives and strategic opportunities. The role requires regular engagement with senior management, Group companies, and stakeholders across the Group's target markets, including Japan's banking and financial services sector, to facilitate information gathering, analysis, and collaboration in support of the Group's business objectives.

Key Responsibilities

1. Support the Group's regional business development and strategic initiatives through preliminary assessment of business opportunities, preparation of analytical findings, and coordination of evaluation activities in the banking, financial services, and financial technology sectors.
2. Engage with prospective clients, business partners, and Group companies to understand business objectives, operational needs, and collaboration opportunities.
3. Assist in conducting business process reviews, requirements-gathering sessions, and operational assessments to support feasibility evaluation of potential projects and partnerships.
4. Document current-state business processes, workflows, operational requirements, and discussion outcomes, and prepare structured analysis reports for management review.
5. Support the analysis of business, functional, and non-functional requirements to identify gaps, risks, dependencies, and improvement opportunities.
6. Coordinate discussions and information exchange between prospective clients and relevant Group entities on digital banking, core banking, and financial technology initiatives.
7. Support the preparation of business proposals, feasibility studies, presentation materials, and management reports for internal decision-making.
8. Conduct market research, competitor analysis, and industry intelligence gathering to support the Group’s strategic planning and regional expansion initiatives.
9. Support the evaluation of solution proposals, proof-of-concept activities, technology assessments, and business cases conducted by Group companies and partners. Assist in the planning, development, and delivery of client presentations, solution positioning, and business pitches to prospective clients and strategic partners.
10. Liaise with internal and external stakeholders to support project assessment, partnership discussions, and business development initiatives.
11. Prepare research findings, management reports, and updates for Headquarters and senior management on business opportunities, project assessments, and stakeholder engagement activities.
12. Track and maintain records of ongoing opportunities, stakeholder engagements, and project evaluation activities for management reporting.
13. Undertake any other advisory, analytical, or coordination tasks as assigned by management to support the Group’s strategic objectives.

Requirements:

• Bachelor’s Degree in Business Administration, Finance, Information Technology, Computer Science, Engineering, or a related discipline.
• At least 5 years of relevant experience in consulting, project management, application delivery support, business analysis, business development, banking technology, or financial services.
• Experience in core banking systems, digital banking platforms, lending systems, payment systems, Banking-as-a-Service (BaaS), or other financial technology solutions.
• Experience in business requirements gathering, business process analysis, solution assessment, and stakeholder management.
• Ability to engage with both business and technical stakeholders and translate business requirements into practical analysis and recommendations.
• Strong analytical, problem-solving, and communication skills.
• Experience coordinating cross-functional teams, vendors, consultants, and project stakeholders in a regional or multinational environment.
• Excellent presentation, report writing, and stakeholder engagement skills.
• Experience working with banks, financial institutions, or banking technology providers, preferably with exposure to banking operations, core banking systems, and financial services practices across regional markets, including Japan. Practical experience in the development, implementation, enhancement, or support of IT systems within Japan's banking and financial services sector will be highly advantageous.
• Good understanding of banking industry practices and banking-related IT systems, with exposure to the Japanese banking market, including technology architecture, operational processes, and digital transformation initiatives. Ability to analyse, compare, and assess differences between Japan-market requirements and regional market requirements.
• Ability to bridge business and operational requirements between Headquarters, regional entities, and market stakeholders, including those in Japan, and provide recommendations that align with both Group objectives and local market needs.
• Experience in research, market intelligence, project coordination, stakeholder support, or strategy support functions would be advantageous.
• Excellent command of spoken and written Japanese and English to review business and technical documentation, and to support regular communication with Headquarters, Group companies, and business partners in Japan and other international markets.

Job Purpose

The Research Fellow / Research Engineer (with focus on Data Analytics and Digital Dashboards) will support applied research and innovation in community and allied health by turning clinical, operational and service data into practical analytics outputs, digital dashboards, KPI trackers and evidence reports. The role focuses on hands-on data analytics, project coordination and implementation support for community care projects.

This role is focused on Data Analytics and Digital Dashboards. The candidate should have good project-management discipline and experience coordinating projects or workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through timely and usable analytics outputs.

Key Responsibilities

Applied Research & Development

• Perform clinical needs assessment and workflow analysis for organisational innovation transition, focusing on but not limited to the community and aged care sector, including nursing homes, hospitals, home-based care, and palliative care settings.
• Develop healthcare solutions and innovation roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, and care automation.
• Develop and execute healthcare innovation projects by conducting experiments, data collection, and analysis for Proof of Concept (POC) and implementation for organisations in, but not limited to, the community care sector, and simulated environments within SIT and / or the Living Lab.

Industry Collaboration

• Support collaborations with industry partners to understand problem statements and contribute to solution development.
• Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned project workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate technical reports, presentations, dashboards, project trackers, and documentation on the development, validation, deployment, and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned analytics, documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — Data Analytics and Digital Dashboards: clean, structure, analyse, visualise and report health/service data; develop dashboards, KPI trackers and management reports; support evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate data insights into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Nursing, Health Sciences, Biomedical Engineering, Clinical Research, or a related field or related disciplines with relevant experience in research, engineering, product development, or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., commercialisation, care automation, health economics).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving healthcare, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this Data Analytics and Digital Dashboards role, relevant experience in data analytics, dashboard development, business intelligence, data visualisation, health/service data management, KPI tracking, data cleaning, statistical or operational reporting, or equivalent analytics tools and methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of healthcare innovation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in data analytics and dashboards, including data cleaning, data structuring, analysis, visualisation, dashboard development, KPI tracking and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned analytics outputs and project outcomes toward the overall KPI commitments.

Job Purpose

The Research Fellow / Research Engineer (with focus on Healthcare Design and Business) will support applied research and innovation in community and allied health by translating health-related workflow needs, user insights and business requirements into practical service-design outputs, implementation plans, value propositions and evidence reports. The role focuses on healthcare design, business scoping, project coordination and implementation support for healthcare projects.

This role is focused on Healthcare Design and Business. The candidate should have a deep understanding of health-related workflows and experience coordinating project implementation with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical design, business and implementation outputs.

Key Responsibilities

Applied Research & Development

• Perform clinical needs assessment, user research, service-journey mapping and workflow analysis for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings.
• Develop healthcare service-design concepts, business requirements and implementation roadmaps for organisational transition, focusing on but not limited to caregiver workload reduction, care-process redesign, adoption planning and care automation support.
• Support healthcare innovation projects by coordinating user feedback, pilot planning, implementation activities, data collection and outcome documentation for Proof of Concept (POC) and deployment in community-care or healthcare settings.

Industry Collaboration

• Support collaborations with industry and healthcare partners to understand workflow pain points, user needs, business requirements and implementation constraints, and contribute to practical solution development.
• Assist in project scoping by gathering workflow, design, business and implementation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned healthcare design, business and implementation workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate project reports, presentations, service maps, user-journey documentation, business-case inputs, implementation trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned design, business, implementation documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — Healthcare Design and Business: conduct user and workflow research; prepare service maps, implementation plans, business-case inputs and value-capture documentation; support evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate workflow and business insights into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Health Sciences, Nursing, Healthcare Management, Design, Business, Service Design, Biomedical Engineering, Clinical Research or related disciplines with relevant experience in healthcare design, business scoping, project implementation or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., service design, business model development, commercialisation, care automation, health economics and value capture).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving healthcare design, service redesign, business scoping, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this Healthcare Design and Business role, relevant experience in health-related workflow analysis, user research, service design, business scoping, implementation planning, stakeholder engagement, value proposition development, benefits tracking or equivalent design/business methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of healthcare design, business and implementation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in healthcare design and business, including workflow analysis, user research, service mapping, business scoping, implementation planning, benefits tracking and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned design, business, implementation and project outcomes toward the overall KPI commitments.

Job Purpose

The primary responsibility of this role is to lead the research and technical development of a high-frequency ultrasound imaging platform, including hardware-software integration and advanced signal processing algorithms for structural and functional imaging, in order to deliver clinically relevant prototypes, high-quality publications, and translational outcomes for the project.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met.
• Lead the design, development, and experimental validation of high-frequency ultrasound imaging methods, with emphasis on high-frame-rate acquisition, coded excitation, tissue harmonic imaging, adaptive/specular beamforming, and functional imaging approaches such as Doppler and elastography.
• Drive the integration of hardware and software components into a functioning imaging platform suitable for laboratory and pre-clinical/clinical-environment testing.
• Plan and execute research studies, including phantom, benchtop, and application-oriented validation experiments, and analyze the resulting data rigorously.
• Develop, implement, and optimize signal and image processing algorithms using appropriate programming environments and computational tools.
• Contribute to the definition of system specifications, experimental protocols, validation metrics, and milestone tracking across the project work packages.
• Prepare technical reports, journal papers, conference papers, presentations, and documentation required for project reviews, dissemination, and future translation/commercialization.
• Supervise and mentor junior research staff and students, including guidance on experiments, coding, data analysis, and scientific writing.
• Support project management activities, including procurement inputs, coordination with collaborators, and contribution to risk assessment, quality documentation, and regulatory-readiness activities.
• Contribute to intellectual property development, invention disclosure preparation, and identification of translational and commercialize.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Ph.D. in Electrical Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline.
• Strong background in at least one of the following: ultrasound imaging, medical signal processing, beamforming, image reconstruction, elastography, Doppler imaging, or computational imaging.
• Demonstrated experience in algorithm development and scientific programming, preferably in Python, MATLAB, C/C++, or related environments.
• Proven research track record through peer-reviewed journal publications and/or conference presentations in relevant areas.
• Experience in experimental research involving imaging systems, instrumentation, data acquisition, and quantitative validation is highly desirable.
• Familiarity with AI/deep learning methods for medical imaging is advantageous.
• Experience in hardware–software integration, GPU/FPGA acceleration, or translation of research into prototype systems would be an added advantage.
• Ability to work independently while contributing effectively in a multidisciplinary research team.

Key Competencies 

• Strong analytical and problem-solving skills.
• Ability to translate research questions into implementable technical solutions.
• Scientific rigor and attention to detail in experimental design and validation.
• Proficiency in algorithm development, data analysis, and technical writing.
• Project planning and execution skills, including the ability to manage multiple technical tasks in parallel.
• Initiative, ownership, and the ability to work independently with minimal supervision.
• Effective communication and collaboration skills for working with clinicians, engineers, students, and external collaborators.
• Mentoring and supervisory ability for junior team members and students.

Major Challenges

• Integrating multiple research components, including hardware, data acquisition, signal processing, and user-facing outputs, into a coherent and robust imaging prototype.
• Achieving demanding technical targets in high-frequency ultrasound, such as high frame rates, high resolution, sufficient SNR, and reliable functional imaging performance.
• Balancing scientific novelty with practical constraints related to computation, hardware limitations, reproducibility, and translation readiness.
• Managing uncertainty and iterative refinement in research while still delivering project milestones, publications, and demonstrable outcomes.
• Translating advanced methods into workflows that are robust enough for broader testing and future adoption.

Job Purpose

The primary responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day-to-day technical execution of the project.

Key Responsibilities

• Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging.
• Support experimental setup, data collection, phantom preparation, system calibration, and routine operation of imaging hardware and associated measurement equipment.
• Conduct bench top and phantom experiments according to defined protocols, and assist in organizing, processing, and documenting experimental data.
• Develop and maintain software scripts, processing pipelines, and visualization tools for imaging experiments and performance evaluation.
• Support system integration activities involving sensors, data acquisition hardware, software interfaces, and computational workflows.
• Help prepare technical documentation, reports, figures, and datasets needed for project reviews, publications, and presentations.
• Maintain laboratory records, inventory, and equipment logs, and support procurement, setup, and troubleshooting of components and consumables.
• Assist in training and supporting students or project users in the use of the developed systems and software.
• Perform other project-related technical duties assigned by the Principal Investigator or senior research staff.

Job Requirements

• MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology, Instrumentation, Computer Engineering, Signal Processing, or a related field.
• Good knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development.
• Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments.
• Experience in experimental work, data collection, and system troubleshooting is desirable.
• Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable.
• Ability to follow technical protocols accurately and to maintain clear documentation of work performed.
• Ability to work effectively both independently and under the guidance of senior researchers.

Key Competencies

• Technical aptitude and practical problem-solving ability.
• Good programming and data handling skills.
• Careful and systematic approach to experiments, testing, and documentation.
• Attention to detail and commitment to data quality and reproducibility.
• Willingness to learn new technical skills and adapt to evolving project needs.
• Good teamwork and communication skills.
• Ability to manage time effectively and support multiple concurrent project activities. 

Job Purpose

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. 

The primary responsibility of this role is to contribute to an industry innovation research project on developing artificial intelligence (AI) solutions for train operations and maintenance. 

Key Responsibilities

• Work closely with faculty members, researchers, students, and collaborators on research activities and technology development.
• Support research and development in Artificial Intelligence and related areas for train operations and maintenance.
• Assist in the coordination and management of the research project.
• Coordinate finance tracking, reporting, and communications with industry and research partners. 

Job Requirements

• Bachelor/Master/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines.
• Experience in project management, research administration, or coordination of large-scale projects is highly preferred.
• Familiarity with finance management, budget tracking, procurement, or grant administration will be an added advantage.
• Experience in areas such as Machine Learning, Deep Learning, Computer Vision, Large Language Models, Data Analytics, or Intelligent Systems will be advantageous.

Key Competencies

• Prior experience in research project coordination and management
• Basic knowledge about finance tracking and reporting
• Capabilities of communication and organisational skills

Job Description

The Senior AI Research Scientist will be working on clinical multi-agent CDS engineering workstream. The role will design and implement the MAS harness that coordinates GP, pharmacist, specialist, guideline/evidence, medication-safety and workflow agents for primary-care decision support. The system should support pre-consult briefs, iterative re-inference during consultation, safety checks, and structured next-best-action recommendations.

The scientist will be responsible for translating clinical workflow requirements into an executable architecture: agent contracts, orchestration logic, memory/state management, tool interfaces, retrieval layers, evaluation harnesses and observability. The role will also lead simulation-based testing and validation using clinical vignettes, synthetic cases, public benchmarks and protected clinical data pathways where approved.

Key Responsibilities

• Design and implement the MAS/CDS harness, including agent roles, orchestration policies, memory/state handling, tool calling, guardrails and error recovery.
• Build simulation-based evaluation workflows that generate cases, run multi-agent consultations, compare outputs with labels or clinician review, and record failure modes.
• Engineer validation pipelines for guideline compliance, medication safety, role adherence, hallucination detection, uncertainty handling, and workflow usability.
• Integrate clinical foundation models, retrieval components, guideline knowledge bases, structured patient data and clinician feedback loops into a coherent CDS prototype.
• Lead technical design for pre-consult briefs and iterative consultation support, including re-inference when new patient information, lab results or clinician inputs are added.
• Collaborate with clinicians, product/workflow teams and evaluation teams to define acceptance criteria, benchmark scenarios, safety thresholds and pilot-readiness evidence.
• Mentor junior researchers/engineers and establish engineering standards for reproducible MAS experiments, audit trails, dataset versioning and model/system documentation.

Required Qualifications and Skills

• PhD degree in AI, computer science, machine learning, biomedical informatics, computational science or a related field.
• Strong hands-on experience building LLM applications, agentic systems, orchestration frameworks, evaluation harnesses or production-grade AI research prototypes.
• Deep understanding of LLM evaluation, retrieval-augmented generation, tool use, safety guardrails, observability, state management and experiment reproducibility.
• Ability to design validation approaches for clinical AI systems, including synthetic and real-world data evaluation, clinician review workflows and error analysis.
• Strong software engineering skills in Python and modern AI system stacks; able to convert research ideas into maintainable prototypes and reusable platforms.

Preferred Experience

• Experience with clinical decision support systems, medical LLMs, healthcare workflow integration, FHIR/EMR/eHINTS-like data pathways or regulated AI evaluation.
• Experience with multi-agent frameworks, simulation environments, LLM-as-judge systems, benchmark construction, or safety testing for high-stakes AI.
• Knowledge of primary-care chronic disease management and clinical safety issues such as polypharmacy, contraindications, formulary constraints and care-gap detection.
• Track record leading small technical teams, mentoring junior researchers, and coordinating with clinical, product and governance stakeholders.