Research Associate in AI solution for early diagnosis of cancer in UK patients

The post is funded by the NIHR i4i cancer early detection programme under the project “AI-DIP: Artificial Intelligence to support cancer early diagnosis in general practice. (AI-DIP)” and will be based at Imperial College London with significant interaction with NHS, UK AI company ILASP Limited, and US SOAP-Health company. The project is led by Professor Brendan Delaney and this workstream by Professor Alessandra Russo.

This position is to carry out a research project on advancing robust and explainable hybrid AI technology powered by LLM in the context of healthcare. We will explore the engineering of a hybrid neuro-symbolic system, the modelling of relevant domain knowledge, and the training of Hybrid AI models on real world patient data. Research Associates will be expected to submit publications to refereed journals.

You will join a highly collaborative and multidisciplinary team, which includes PhD students and postdocs associates from Computing, Mathematics and Medicine in interdisciplinary settings with interactions with real stakeholders such as clinicians and patients.

Hold a PhD in computer science, mathematics, or a related discipline. Practical experience within a research environment and publication in relevant and refereed journals. Practical experience of deploying, developing, and maintaining software, possibly (although not required) in the healthcare setting. Knowledge in LLM, transformer models, design of experiments, and/or symbolic machine learning.

You will have the opportunity to continue your career at a world-leading institution. Imperial College is consistently in the top 10 world university rankings with the Department of Computing ranked top of the 2021 UK REF assessment. You will receive a sector-leading salary and remuneration package (including 38 days off a year) and a comprehensive early career development support package including 10 training and development days.

Fulltime, fixed term contract for 30 months to start ASAP (with possibility for extension). In addition to completing the online application candidates should attach: A full CV, A 1 page research statement on how your experience meets the above requirements. For informal enquiries about the position please email: Professor Alessandra Russo. For queries regarding the application process contact: Jamie Perrins.