Location: | London |
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Salary: | £40,386 to £47,414 per annum, including London Weighting Allowance |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 31st January 2023 |
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Closes: | 19th March 2023 |
Job Ref: | 061445 |
Job description
We are seeking a highly motivated and conscientious post-doctoral researcher to join a very collaborative, interdisciplinary, and friendly research group at King's College London led by Dr Bipin Rajendran.
The successful candidate will work on the EPSRC Open Plus Fellowship awarded to Dr Rajendran that focuses on creating a smarter and greener AI. The focus of this researcher will be on developing novel event-driven AI algorithms for trustworthy decision-making motivated by the free energy principle. They will also work in parallel with another researcher who will be building nanoscale devices based on 2D materials and pursue the novel approach of using the undesirable imperfections of nanoscale devices as a resource for efficiently implementing free energy-based AI algorithms in hardware.
The post will be based in the Department of Engineering. The department is located at the Strand campus of King's, located in the centre of London.
The successful candidate should have a PhD in Neuroscience/Computer Science/Electrical Engineering and they should meet the following criteria
For an informal discussion to find out more about the role please contact Dr. Bipin Rajendran via email at bipin.rajendran@kcl.ac.uk.
This post will be offered on a fixed-term contract for 2.5 years
This is a full-time post - 100% full time equivalent
Key responsibilities
Carry out research on design, emulation, and benchmarking of novel event-driven AI algorithms inspired by the free energy principle.
Write papers and technical reports
Present research at conferences and external audiences including funding bodies
Work with PhD students to fulfil the objectives of the project
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
Essential criteria
Desirable criteria
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