Connectionists: PhD student position in neural data analysis, University of Edinburgh (Arno Onken)

[Arno Onken]

A fully funded PhD position is available in the group of Arno Onken at
the University of Edinburgh, on the development and application of novel
methods for analysing multi-modal and multi-scale neural recordings. The
group collaborates closely with the experimental groups of Nathalie
Rochefort (University of Edinburgh, joint EPSRC-funded project to start
in March) and Shuzo Sakata (University of Strathclyde). Potential
projects are interdisciplinary, bridging computational neuroscience,
statistical modelling and machine learning. The successful applicant
will join the Institute for Adaptive and Neural Computation
(http://www.anc.ed.ac.uk/) which hosts strong research groups in the
relevant fields.

Applicants should have a strong quantitative background (e.g. math,
statistics, computer science, physics, computational neuroscience), good
programming skills and a keen interest in interdisciplinary research. A
background in neuroscience is desirable, but not essential. The position
is available to UK/EU applicants. Other excellent applicants may be
eligible for international postgraduate scholarships - please get in
touch. The start date is flexible.

Interested applicants should submit their application to the Institute
for Adaptive and Neural Computation:
https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&edition=2018&id=489

For further information, please contact Arno Onken (aonken at inf.ed.ac.uk).

-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.