AI Research Fellow

Imperial College London and NTU are seeking (Senior) Research Fellows to join the IN-CYPHER programme on the cybersecurity of connected medical devices and systems. The research programme represents a UK–Singapore collaboration and will be based at Imperial Global Singapore (IGS). We are particularly looking for AI Research Fellows with the following backgrounds: Medical Imaging Medical time-series analysis Foundational Models Medical AI New learning paradigms and representation learning As an AI Research Fellow, the successful candidate will conduct fundamental research aligned with the programme and translate research outputs to achieve impact within the Singapore healthcare environment. IN-CYPHER comprises four interacting themes, spanning the design of intelligent medical devices through to the use of their data in informing personalised healthcare. The four themes of IN-CYPHER are: Theme 1 Protecting Implantable Devices Implantable and wearable medical devices – including sensors and active devices – operate under strong design constraints. Our research in this area seeks to embed secure design from first principles at the most fundamental levels (silicon or substrate) of device design; we also consider post-quantum cryptographically secure techniques in the immediate future. Theme 2 Securing Connected Wearables & Healthcare Systems Medical devices increasingly incorporate connectivity and are designed to be in use for long periods. There is a constant risk of zero-day exploitations; we seek solutions to detect breaches in intricate networks and data flow pipelines, embedding security at hardware level. Theme 3 Algorithms for Privacy, Security and Provenance To control active medical devices – such as closed-loop drug-delivery systems – data moves across different communications channels; data provenance and integrity are important. Data-driven algorithms may expose protected patient characteristics, posing challenges for operational use and product development cycles. Theme 4 Clinical Innovation & Translation Personalised medicine includes the use of data for closed-loop drug delivery (e.g., insulin delivery). With key researchers from Lee Kong Chian School of Medicine and Imperial College Healthcare NHS Trust, we seek to develop threat models for emerging personalised medicine and explore data-driven approaches to improve patient outcomes. Given the span of our research, we seek highly motivated researchers to join IN-CYPHER. We are developing intelligent technologies that span embedded systems and the protocols used to control and communicate sensitive patient information, up to interventional devices and systems for personalised healthcare. We seek candidates with drive and passion to be self-motivated innovators, to conduct fundamental research and translate findings into real-world applications. Candidates with strong publication profiles are welcome, but the ability to assimilate the complexities of healthcare technology and patient data and to work as part of a diverse team is critical. A willingness to contribute and lead on high-quality research outputs is essential. The collaborating Departments include senior academics from Imperial’s Department of Metabolism, Digestion and Reproduction and the Department of Bioengineering (the largest Biomedical Engineering Department in the UK) and senior researchers from the School of Computer Science and Engineering, School of Electrical and Electronic Engineering, and the Lee Kong Chian School of Medicine at NTU. Candidates will be employed by Imperial Global Singapore, a research division of Imperial College London, based in Singapore with opportunities for visits to Imperial's London locations. Informal enquiries are welcome. Please email Dr Viktor Schlegel at with your research interests and alignment to the programme. Questions about the recruitment process should go to HR at Imperial Global Singapore Key Responsibilities Main Duties Take initiatives in conducting and planning own scientific work Identify and develop suitable techniques for the analysis of data Maintain highly organised and accurate records of work Maintain and promote the highest standards of scientific integrity Actively participate in all aspects of the IN-CYPHER research programme Report research activities both internally and externally Present findings to colleagues and at national/international conferences Publish in high-quality refereed journals Collaborate with scientific, clinical and translation partners to translate research ideas into real-world applications and/or positive societal impact Attend relevant workshops as necessary Develop contacts and research collaborations within IGS, Imperial, NTU and the wider community Promote the positive reputation of IGS and the IN-CYPHER Programme Contribute to grant proposals to secure funding for the research programme Participate in group research meetings and internal seminars Contribute to the smooth running of IN-CYPHER and related programmes under IGS Assist in supervising undergraduate interns, postgraduate research students and research assistants as required Comply with IGS and CREATE practices and attend safety courses when appropriate Any other duties as deemed reasonable by scientific and operations managers of IGS, IN-CYPHER and investigators Other Duties Undertake any necessary training and development Undertake appropriate administration tasks Attend relevant meetings Observe and comply with all IGS policies and regulations including: Confidentiality Conflict of Interest Data Protection Equal Opportunities Financial Regulations Health and Safety Information Technology Smoking Private engagements and Register of Interests Regulations of CREATE Tower and Singapore Positions are based in Singapore at Imperial Global Singapore on the CREATE campus at the National University of Singapore Job descriptions cannot be exhaustive and the post holder may be required to undertake other duties broadly in line with the 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 engineering, computer science, applied mathematics, or a closely related discipline; (E)At Senior Research Fellow: 2 to 5 years of post-doctoral research in a field allied to one of the IN-CYPHER themes (E)Experience Practial experience in research and publication in relevant refereed journals. (E)Significant experience in topics relevant to IN-CYPHER (E) Machine Learning and AI AI in Healthcare Machine learning for time-series analysis Foundational ML models AI privacy, security and safety Experience in: (D) Industrial experience hospital environments strongly interdisciplinary research Experience in analysis, interpretation and visualisation of scientific data (E)Practical experience in tools/techniques relevant to themes 3 and 4 (E) Data-driven research in clinical/medical environments medical device design medical regulatory processes ISO 13485; ISO 27001; ISO 14971 NIST 800-53; 800-53/FI; 800-30 Experience of supervising students (D)Knowledge Knowledge of research methods and statistics (E)Knowledge of data presentation and analysis for themes 3 and 4 (E)Knowledge of methods to develop and analyse computational models (E)Knowledge of techniques relevant to themes 3 and 4 (D)Skills & Abilities Ability to conduct a detailed literature review (E)Ability to develop and apply new concepts (E)A creative approach to problem-solving (E)Excellent verbal communication and collaboration skills (E)Excellent written communication for scientific publication (E)Ability to direct the work of a small research team and motivate others (E)Ability to organise own work with minimal supervision (E)Ability to prioritise work to meet deadlines (E)A skill-set aligned with at least one of themes 3 or 4 (E)Other Willingness to work in a team, be open-minded and cooperative (E)A flexible attitude towards work (E)High level of discipline and regard for confidentiality and security (E)Willingness to undertake necessary training (E)Willingness to travel within Singapore and to the UK, and other destinations as needed (D)Willingness to work outside normal hours if required (D)IGS is committed to equality and to eliminating discrimination. Employees are expected to: Champion a positive approach to change and opportunity Encourage inclusive participation and eliminate discrimination Communicate regularly and effectively within and across teams Consider the thoughts and expectations of others Deliver positive outcomes Develop and grow skills and expertise Work in a planned and managed way Employees must comply with IGS policies including: Confidentiality Conflict of Interest Data Protection Equal Opportunities Financial Regulations Health and Safety Information Technology Smoking Private Engagements and Register of Interests Regulations of CREATE Tower and Singapore They must undertake safety responsibilities as set on the College Website Health and Safety Structure and Responsibilities page. IGS observes the San-Francisco Declaration on Research Assessment (DORA). IGS evaluates applicants on the quality of their work rather than journal impact factors. IGS notes that animals may be used in research where necessary for developing new treatments. For further details, applicants are directed to: Interested candidates are invited to submit applications through the following link: #J-18808-Ljbffr