Connectionists: Fully-funded PhD opening (UK home fees status) @ Imperial College London (Dr Danyal Akarca & Prof Daniel Goodman)

[Danyal Akarca]

*Fully funded PhD position opening*

Intelligent Systems and Networks Group

Department of Electrical and Electronic Engineering

Imperial College London



*Supervisors:* Dr Danyal Akarca & Prof Daniel Goodman

*PhD student status:* UK “Home” fee status (for information, see here
<https://www.imperial.ac.uk/study/fees-and-funding/tuition-fees/fee-status/#:~:text=Generally%2C%20you%20must%20be%20resident,is%20defined%20as%201%20September.>
)



We are seeking a PhD candidate to join us at Imperial College London. This
position offers a unique opportunity to explore the cutting-edge
intersection of neuroscience and artificial intelligence, with the broad
goal to investigateshared principles of computation within both artificial
and biological intelligent systems.



*Research topics:* These include, but are not limited to: (i) Information
and communication within brain circuits of modular network topologies; (ii)
Inductive structural and communication biases within brain-inspired neural
networks; (iii) Comparing neural coding schemes; (iv) Resource rationality
in task-solving neural networks and their scaling; (v) Evolutionary and
developmental models of heterogeneity in the brain. Relevant papers of the
supervisors include this
<https://www.nature.com/articles/s42256-023-00748-9>and this
<https://www.nature.com/articles/s41467-021-26022-3>.



*Requirements:* There is a requirement for a Master’s level degree (at
level Merit minimum) and that your undergraduate degree is at level UK 2:1,
but a 1st class and/or Distinction (respectively) would be highly
desirable. We welcome candidates from a broad range of disciplines,
including Neuroscience, Engineering, Physics, Mathematics, Machine
learning, Cognitive Science, and related fields. Applicants should have a
strong analytical and computational background, with proficiency in
programming languages commonly used in AI research (e.g., Python).
Experience with neural network modelling, machine learning algorithms, or
computational neuroscience tools is highly desirable. We are really looking
for individuals who are curious, driven, and passionate about research in
this exciting field. The ability to work collaboratively within a team and
communicate effectively with both technical and non-technical audiences is
essential.



The position comes with funding, covering tuition fees with a stipend,
covered by Danyal’s Imperial College Research Fellowship supported by
Schmidt Futures. *Note, this position can only support UK Home fee status
students. *This means that you would have been resident and settled in the
UK at the start of the PhD (i.e., living in the UK most of the time) for
the previous three years.



If interested, please send an email to both supervisors with a CV and a
paragraph summarising your interests (we welcome research proposals if you
have one, but not necessary to write one) at danyal.akarca at gmail.com and
d.goodman at imperial.ac.uk
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