3 x Postdoctoral Positions in Reinforcement Learning for Healthcare (AI Clinician) @ Imperial College

[Aldo Faisal]

Dear All

We are looking for machine learning, causal statistics and computational neuroscience minded people to join our rapidly growing team around developing Reinforcement Learning for medical interventions.  Recruitment is on a rolling basis, but for administrative  purposes we have a first cut-off end of this month. If you want to move beyond Atari games and work on intervention-based ML that will have impact on medial practice and eventually patient lives - do join us as we have received the unique opportunity to join us to work  on the ML theory, ML practice and a rapidly growing team working on the hospital IT, regulatory and clinical side of our AI for Healthcare testbed for "Level 2 autonomous medical treatment”. 

Details below

Kind regards

Aldo

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3 x Postdoctoral Positions in Reinforcement Learning for Healthcare  (AI Clinician) @ Imperial College

Job Summary 

Research Associate salary: £40,858 - £48,340 per annum*
Full-time, Fixed term to start ASAP for 2 years with the possibility for extension

Our vision is to establish the computational foundations for an „AI clinician“, an AI system informed by millions of patient records that is using Reinforcement Learning (RL) to learn optimal treatment policies for critically ill patients (Komorowksi et Faisal, 2018, Nature Medicine; Gottesman et al, 2019, Nature Medicine). Prof Aldo Faisal, has been awarded a prestigious UKRI Turing AI Fellowship in Reinforcement Learning for Healthcare for which are recruiting up to 3 post-doctoral Research Associates. 

Our machine learning research goal is centred on developing what is needed as a theoretical foundation for taking our „AI clinician“ proof-of-principle all the way to clinical deployment, and expanding its capabilities and responsibilities. Our Research Associates doing fundamental work will be supported by a team of experienced Researchers and a program grant to take the AI Clinician through the regulatory and technical challenges of clinical deployment. The AI Clinician programme is grounded in the established foundations of clinical decision support systems, which will run as a bed-side recommender system watching over the patients state second-by-second and prompting specific clinical interventions to undertake as the patient state evolves. 

Duties and responsibilities
The aim of the project is the advancement of foundational Reinforcement Learning methods with the immediate application to clinical intervention and involves the unique opportunity to develop core machine learning theory and see it evaluated with clinical end-users as needed. 

We are therefore searching for our UKRI Turing AI research programme areas at the interface of: 

1. Causal Inference & Reinforcement Learning
Despite the parallels between optimal sequential decision making in Causal Inference (Dynamic Treatment Regimens) and continuous control in RL, there has only been some initial work linking these (Barenboim & Pearl, 2016; Johnson et al 2017; Gottesmann et Faisal…, 2019, Nature Med) and we are keen to synthesize these into a common theory. 

2. Foundations of Reinforcement Learning
Advancing RL methods to cope with partial observability, risk, sparseness or the size of vast data sets, (including Distributional RL & Fusing Off-policy & On-Policy learning; Off-Policy Learning in POMDPs; Neural ODEs for RL), e.g. see Li & Faisal, 2021, AAAI; 

3. Explainable AI & Cognitive Neuroscience
We believe that Explainability in AI requires us to develop empirical methods for measuring how well humans were explained and how much trust this explanation has caused, establishing a clear link to cognitive neuroscience. E.g. see Beyret, Shafti & Faisal, IROS 2019, Shafti et Faisal, IROS 2020. 

Location: London
Salary: £40,858 to £48,340 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 2nd March 2021
Closes: 31st March 2021
Job Ref: ENG01585

How to apply

For further details on this opportunity visit https://www.imperial.ac.uk/jobs/ and search using vacancy reference number ENG01585. Candidates should also 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

Informal enquiries regarding post please contact Aldo Faisal: aldo....@imperial.ac.uk 

For queries regarding the application process contact Jamie Perrins: j.pe...@imperial.ac.uk 

Closing Date: 31^st March 2021 (midnight) 

Apply

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Aldo Faisal, PhD

Professor of AI & Neurocscience

UKRI Turing AI Fellow

Director, UKRI Centre for Doctoral Training in AI for Healthcare

Director, Behaviour Analytics Lab, Data Science Institute

Dept. of Bioengineering

& Dept. Of Computing

Imperial College London

SW7 2AZ London 

UK

@FaisalLab
www.FaisalLab.org
aldo....@imperial.ac.uk
http://www3.imperial.ac.uk/people/a.faisal