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Research Associate in Foundational Reinforcement Learning for AI Clinician

Imperial College London - Department of Computing

Location: London
Salary: £46,593 to £54,630 per annum*
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th May 2024
Closes: 30th May 2024
Job Ref: ENG02892
 

South Kensington Campus

Research Associate salary £46,593 - £54,630 per annum*

Full-time, Fixed term start ASAP for 2 years. 

Job Summary

Our vision is to develop our semi-autonomous AI system for saving lives in intensive care, the “AI clinician”. Our team won three prestigious research grants including the UKRI Turing AI Fellowship to Prof Aldo Faisal, Rosetrees Interdisciplinary Award, British Medical Association Foundation John Molton Award towards Dr Padmanabhant Ramnarayan, M.D. our program is funding a number of positions to grow our AI Clinician team and apply to paediatric intensive care. The AI Clinician is informed by myriads of patient records that is using Generative AI from operational data to learn optimal pharmaceutical treatment policies for critically ill patients that we pioneered (Komorowski et Faisal, 2018, Nature Medicine; Gottesmann et al, 2019, Nature Medicine). On the clinical side of the AI Clinician we are a team spanning world-leading intensive care clinicians, Padmanabhan Ramnarayan (paediatric ICU) and Anthony Gordon (adult ICU) and Aldo Faisal (Director, UKRI Centre in AI For Healthcare) at Imperial College London. Our pioneering adult ICU system is now in clinical trials and being deployed in 4 intensive care units across London. 

This position is embedded in our AI Clinician team spanning a vibrant group of proactive research ranging from machine learning (reinforcement learning and generative AI), explainable AI and intensive care clinicians to experts supporting the human factors, patient & stakeholder engagement that will enable us to deploy this Digital Therapeutics flagship program in NHS hospitals in the course of these posts. The clinical aims of the project are to expand the expertise domain and capabilities of the AI Clinician to broaden the patient base by including paediatric intensive care units (PICUs) to help children and to broaden its action space to encompass ventilation decisions and control as well as fluid management. 

Duties and responsibilities

The role spans the domain from foundations of machine learning to data engineering for the deployment of the system in our trial hospitals, advancing off-line Reinforcement Learning and Decision Transformer research that underpins the AI Clinician. This position will advance machine learning methods for the AI Clinician with immediate application to clinical intervention this comprises reinforcement learning (e.g. Li & Faisal AAAI, 2021; but also including decision transformers) and/or causal learning methods (including dynamic treatment regimes). It offers the unique opportunity to develop core machine learning theory and see it evaluated through our team. 

Essential requirements

  • a PhD (or near to completion) or equivalent in a relevant field*
  • Relevant computer science/engineering/mathematics/physics or exceptional biomedical undergraduate background
  • Experience in the field of (one more multiple) Digital Healthcare, Reinforcement Learning, Machine Learning, Robotics, Computational Neuroscience, Recommender Systems Neural/Behaviour Data Analysis, Time Series Analysis, or relevant related backgrounds in control systems or Mathematics

Please see job description for full list of essential requirements. 

*Candidates close to completion of their PhD will also be considered but will be initially appointed as a Research Assistant within the salary range £41,694 - £44,888 per annum.

How to apply

In addition to completing the online application, candidates should attach:

  • A full CV
  • A short statement indicating what you see are interesting issues relating to the above post and why your expertise is relevant 

Closing Date: 30/05/2024 (midnight)

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