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Research Fellow in Cognitive Neuroscience

Employer
Global Academy Jobs
Location
United Kingdom
Closing date
May 8, 2018

Job Details

Do you want to apply your technical skills to help solve real world problems?

Do you have experience in working with brain computer interfaces or applying machine learning algorithms to large datasets?

Would you like to join an exceptional team of collaborators in cognitive neuroscience, computer science and engineering to develop a novel commercial BCI system?

We are seeking a highly motivated Early Career Researcher to join the Perception-Action-Cognition group at University of Leeds to participate in an industry-funded research project working to develop and apply signal processing and machine learning techniques to human physiological data (i.e. electroencephalogram, movement). This position will involve you leading on the research and development of a novel commercial system that tracks performance using EEG. 

 

To explore the post further or for any queries you may have, please contact:

Dr Faisal Mushtaq, School of Psychology Tel: +44 (0)113 343 6640; Email: f.mushtaq@leeds.ac.uk

 

The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies. The University is a charter member of Athena SWAN and holds the Bronze award. We will be happy to consider job share applications and are committed to flexible working for all our employees.

 

 

Company

Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.

"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."

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