Connectionists: Ph.D. positions in lifelong learning and neuromorphic AI/ML at Loughborough University

[Andrea Soltoggio]

Dear Connectionists,



We would like to invite candidates to apply for funded Ph.D. positions in AI and ML at the Computer Science Department at Loughborough University.



Topics of interest involve AI/ML areas such as lifelong learning, bio-inspired neural computation and spiking neural networks with a particular focus on applications in reinforcement learning, robotics, and edge-AI.



Details.

This new field of AI seeks to create machines that learn during a lifetime similarly to biological brains. This research continues and advances recent progress from the DARPA projects Lifelong Learning Machines (L2M) and Shared Experience Lifelong Learning (ShELL). The candidates will join a growing research group of Ph.D. students and postdocs working in the same area, and have access to the latest computational devices such as Nvidia A100 cards. Collaboration opportunities with world-leading AI laboratories will be encouraged and supported. Different projects will focus on aspects such as multi-agent neural reinforcement learning, neuromodulation, continual learning, low-power edge-computing, neuromorphic algorithms and implementations. Applications areas include autonomous vehicles and agents, advanced industrial systems, drones and other distributed robotic systems.



Further additional  links to our latest news and papers:
https://www.azorobotics.com/News.aspx?newsID=12518

https://openreview.net/forum?id=BJge3TNKwH

https://arxiv.org/abs/1703.10371

https://www.frontiersin.org/articles/10.3389/fncom.2021.666131/full
https://ieeexplore.ieee.org/abstract/document/9534283



Loughborough University

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career.



Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in computer science or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: artificial intelligence, neural networks, robotics.



Funding information

Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects within the School. Funding decisions will not be confirmed until early 2022. The studentship is for 3 years and provides a tax-free stipend of £15,609 per annum for the duration of the studentship plus tuition fees at the UK rate.  International (including EU) students may apply however the total value of the studentship will cover the International Tuition Fee Only.



The position will be starting in October 2022 under the supervision of Dr. Andrea Soltoggio and Dr. Shirin Dora. If interested, please get in touch by emailing a.soltoggio at lboro.ac.uk<mailto:a.soltoggio at lboro.ac.uk> or s.dora at lboro.ac.uk<mailto:s.dora at lboro.ac.uk> .



Sincerely,



Andrea Soltoggio and Shirin Dora


--
Dr.  Andrea Soltoggio (he/him or they/them)
Senior Lecturer (Associate Professor) in Artificial Intelligence
Department of Computer Science, School of Science
& Intelligent Automation Centre
https://www.intelligent-automation.org.uk/about-us/centre-staff
& Centre for Information Management
https://www.lboro.ac.uk/departments/sbe/cim/

Haslegrave Building, N.2.03
Loughborough University
LE11 3TU, UK

Email: a.soltoggio at lboro.ac.uk<mailto:a.soltoggio at lboro.ac.uk>
Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

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