AI Research Fellow / Senior Research Fellow

About the role

Imperial College London and Nanyang Technological University (NTU) are seeking AI Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems. The research programme represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS).

What you would be doing

IN-CYPHER is comprised of four interacting themes, spanning the design of intelligent medical devices through to the use of their data in informing personalised healthcare. Allied to other programmes in Singapore and the UK, it represents a unique opportunity to be at the forefront of research and development into securing the vital information that flows from implantable, wearable and connected medical devices, and the intelligent personalised healthcare systems that consume such data. The four themes are: 

• Theme 1 Protecting Implantable Devices
• Theme 2 Securing Connected Wearables & Healthcare Systems
• Theme 3 Algorithms for Privacy, Security and Provenance
• Theme 4 Clinical Innovation & Translation

Connected medical devices are increasingly employed in the drive towards increasingly personalised health, and in delivering virtually all aspects of healthcare. With key researchers and teams from both Lee Kong Chian School of Medicine and Imperial College Healthcare NHS Trust, we seek to develop deep technologies that are informed by threat models for the emerging area of personalised medicine, and specifically where patient stratification or treatment personalisation leverages processes that use data-driven machine learning.

What we are looking for

Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span embedded systems, and the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare.

We are particularly looking for research engineers with the following backgrounds:

• Medical Imaging
• Medical time-series analysis
• Foundational Models
• Medical AI
• New Learning Paradigms
• Representation Learning

The collaborating Departments include senior academics from the Department of Metabolism, Digestion and Reproduction and the Department of Bioengineering at Imperial – the largest Biomedical Engineering Department in the UK – and senior researchers from the School of Computer Science and Engineering (SCSE), School of Electrical and Electronic Engineering and the Lee Kong Chian School of Medicine at Nanyang Technological University. Candidates will be employed by Imperial Global Singapore, a research division of Imperial College London, consistently ranked within the top 10 of the QS University Rankings. Candidates must be resident and based in Singapore, but there will be opportunities for research visits to Imperial’s London-based locations.

Further information

Positions will be initially for 1 year fixed term (subject to 6-month probation) with potential for extension.

Please apply at the apply button above.

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 9 November 2025.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel v.schlegel@imperial.ac.uk, indicating your research interests and their alignment to the programme.

Questions about the recruitment process should go to  hrigsingapore@imperial.ac.uk.

Positions are based 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.

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