[visionlist] PhD (fully funded for UK/EU students) in multisensory Brain-Like AI

Michael Proulx mproulxjhu at gmail.com
Thu Mar 14 12:55:47 -04 2019

Modelling Brain-Like Intelligence in an evolutionary context for AI


A challenge for AI research is to operate autonomously in natural
environments. Although many organisms can respond adaptively to the natural
world in milliseconds, the computational complexity in interpreting natural
images is an on-going fundamental problem. One suggested solution is to
pursue research on Brain-Like Intelligence (Sendhoff, Koerner & Sporns,
2009) as a means of creating biologically-inspired solutions that might
provide a generalised approach to the computational demands of multiple
sensory inputs and potential motor outputs. The promising perspective to
develop Brain-Like AI has been hampered by the mistaken view that
intelligence is a hallmark of “highly evolved creatures”; instead, the
pluralistic view that all creatures have evolved adaptive sensory and motor
capabilities for different environments might better endow autonomous
robots with the flexibility necessary to use different computational
approaches attuned to the environment.

This project is associated with the UKRI CDT in Accountable, Responsible
and Transparent AI (ART-AI), which is looking for its first cohort of at
least 10 students to start in September 2019. Students will be fully funded
for 4 years (stipend, UK/EU tuition fees and research support budget).
Further details can be found here:

The approach will be multisensory and task-based, to understand the best
biological approaches (e.g., seeing or hearing?) to solve natural
computational problems (e.g., how to find food). The supervision for this
project will be interdisciplinary and thus provide training and theory from
the perspectives of (psychology, primary supervisor Dr Michael Proulx),
evolutionary neuroscience (Dr Alexandra de Sousa), and computer science
(Prof Eamonn O’Neill).

Desirable qualities in candidates include intellectual curiosity, a strong
background in maths and programming experience. Applicants should hold, or
expect to receive, the equivalent of a UK First Class or good Upper Second
Class Honours degree in a relevant field. A master’s level qualification
would also be advantageous.

Informal enquiries about the project should be directed to Dr Michael
Proulx m.j.proulx at bath.ac.uk .

Enquiries about the application process should be sent to
art-ai-applications at bath.ac.uk .

Formal applications should be made via the University of Bath’s online
application form for a PhD in Computer Science:

Start date: 23 September 2019.

Funding Notes:

ART-AI CDT studentships are available on a competition basis for UK and EU
students for up to 4 years. Funding will cover UK/EU tuition fees as well
as providing maintenance at the UKRI doctoral stipend rate (£15,009 per
annum for 2019/20) and a training support fee of £1,000 per annum.


Michael J. Proulx, PhD

Associate Professor (Reader) in Psychology

Deputy Director, Research

Department of Psychology

University of Bath

m.j.proulx at bath.ac.uk


Twitter: @MichaelProulx <https://twitter.com/MichaelProulx>

Director, Crossmodal Cognition Lab


Deputy Director, REal and Virtual Environments Augmentation Labs

Department of Computer Science

http://www.bath.ac.uk/reveal <http://reveal.bath.ac.uk/>
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