University College London (UCL)

Institute of Cognitive Neuroscience and  Deafness, Cognitive & Language research centre (DCAL)

Applications are invited for a Research Associate position under the supervision of Dr Mairead MacSweeney in the Visual Communication research group at the UCL Institute of Cognitive Neuroscience. The post-holder will be responsible for leading the development of and assessment of a computerised reading training programme for use with young deaf children.

The post is funded by the Wellcome Trust for 36 months.

For further details about the vacancy and how to apply on line please click here    or visit the 'Jobs at UCL' webpage and search for  Job Ref: 1317571

For informal queries, please contact Dr. Mairead MacSweeney m.macsweeney@ucl.ac.uk

Closing Date : 19/03/2011 by 5.00pm

Mairead MacSweeney

Wellcome Trust Senior Research Fellow

Institute of Cognitive Neuroscience

University College London

17 Queen Square

London

WC1N 3AR

and

Co-Director Deafness, Cognition and Language (DCAL) research Centre

University College London

49 Gordon Square

London

WC1H 0PD

tel: (+44)20 7679 1157 (internal 21157)

fax: (+44)20 7916 8517

UCL Institute of Cognitive Neuroscience & Institute of Neurology
University College London U.K.

POST-DOCTORAL RESEARCH FELLOW
Computational modelling of the neural mechanisms of spatial cognition

 
A post-doctoral research position in Neil Burgess’s lab at UCL is available for computational modelling of the interactions between grid cells and place cells in coding spatial location (see e.g. 1,2,3) and their role in human spatial memory and imagery in combination with parietal cortex (see e.g. 4,5,6). Applicants should have experience of computational modelling applied to neuroscience or cognition and of programming languages such as MatLab. Experience of analysis or acquisition of experimental data in neuroscience or psychology involving virtual reality, single-unit electrophysiology, fMRI or MEG would be a bonus.

Neil’s lab forms part of the UCL Institute of Cognitive Neuroscience (http://www.icn.ucl.ac.uk/), located close to the Gatsby Computational Neuroscience Unit (http://www.gatsby.ucl.ac.uk/), the Wellcome Trust Centre for Neuroimaging  (http://www.fil.ion.ucl.ac.uk/) and other facilities for research including  electrophysiology and virtual reality. For details of the lab’s research interests see:  http://www.icn.ucl.ac.uk/Research-Groups/Space-and-Memory-Group/. The post is part of a European Union grant on computational modelling of spatial cognition, with partners Fred Hamker (T U Chemnitz), Patrick Cavanagh (U Paris Descartes), Pieter Menendorp (Donders/Neijmegen) and Rufin Van Rullen (CNRS/U Toulouse).

The position will be available from March 2013, starting salary within UCL Grade 7 according to experience (£32,375 - £39,132, inc. London Allowance).

You should apply through “Current employment opportunities at UCL” on www.ucl.ac.uk/hr/jobs using Ref No 1305299.

If you have any queries regarding the application process, please contact Samantha Robinson, Personnel Officer, Institute of Neurology, 23 Queen Square, London, WC1N 3BG (email: IoN.HRadmin@ucl.ac.uk). Informal enquiries should be addressed to Prof Neil Burgess n.burgess@ucl.ac.uk.

Please quote Ref:  1305299

Closing date: Monday 28th January 2013

1. Burgess N, O’Keefe J (2011) Models of place and grid cell firing and theta rhythmicity. Curr Opin. Neurobiol. 21: 734-744.
2. Barry C, Ginsberg LL, O’Keefe J, Burgess N (2012) Grid cell firing patterns signal environmental novelty by expansion. P.N.A.S. In press.
3. Krupic J, Burgess N, O’Keefe J (2012) Neural Representations of Location Composed of Spatially-periodic Bands. Science, 337: 853-857.
4. Doeller CF, Barry C, Burgess, N (2010) Evidence for grid cells in a human memory network. Nature 463 657- 661.
5. Byrne P, Becker S, Burgess N (2007). Remembering the past and imagining the future: a neural model of spatial memory and imagery. Psychological Review 114 340-375.
6. Tcheang L, Bülthoff H, Burgess N (2011) Visual influence on path integration in darkness indicates a multimodal representation of large-scale space. P.N.A.S. 108: 1152-1157