Research Fellow in the Application of Machine Learning to Optimising Brain Simulations

Updated: 3 months ago
Location: Leeds, ENGLAND
Deadline: 11 Feb 2024

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Are you an ambitious researcher looking for your next challenge? Do you have an established background across AI and simulation modelling? Do you have a passion to apply this knowledge to model whole brain dynamics? Do you want to further your career in one of the UK’s leading research-intensive Universities?

You will be part of the BBSRC funded multidisciplinary research project: A C. elegans whole-brain digital twin. The research work is led by the University of Leeds (Schools of Computing) and involves collaboration with an experimental lab at MIT. 

You will work on the project to apply the latest mathematical tools and Machine Learning technologies to develop, implement, optimise, test and apply a simulation platform for modelling whole brain activity in C. elegans – the microscopic roundworm. You will be highly motivated in exploring the available data, developing effective optimisation methods, and using the platform to address fundamental questions in computational neuroscience and AI. 

To explore the post further or for any queries you may have, please contact: 

Prof. Netta Cohen , Professor of Complex Systems

Email: [email protected]  

OR

Prof. David Hogg , Professor of Artificial Intelligence

Email: [email protected]


Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Engineering & Physical Sciences
School/Institute:  School of Computing
Category:  Research
Grade:  Grade 7
Salary:  £37,099 to £44,263 p.a.
Working Time:  37.5 hours per week
Post Type:  Full Time
Contract Type:  Fixed Term (18 months - to complete specific time limited work)
Release Date:  Monday 15 January 2024
Closing Date:  Sunday 11 February 2024
Interview Date:  To be confirmed
Reference:  EPSCP1144
Downloads:  Candidate Brief

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