Connectionists: Applications for 2022-23 entry OPEN:: MSc in Computational Cognitive Neuroscience, Goldsmiths (London, UK)

[Max Garagnani]

Apologies for cross-posting –

Please could you forward the following announcement to any potentially interested party:

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The MSc in COMPUTATIONAL COGNITIVE NEUROSCIENCE  at Goldsmiths, University of London (UK)
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is now ACCEPTING APPLICATIONS for 2022-23 ENTRY.

Note that places on this programme are limited and will be allocated on a first-come first-served basis.
If you are considering this MSc, we recommend applying now rather than later to avoid disappointment.


The course builds on the multi-disciplinary and strong research profiles of our Computing and Psychology Departments staff. It equips students with a solid theoretical basis and experimental techniques in computational cognitive neuroscience, providing them also with an opportunity to apply their newly acquired knowledge in a practical research project, which may be carried out in collaboration with one of our industry partners (see below).  Applications range from computational neuroscience and machine learning to brain-computer interfaces to experimental and clinical research.

For more INFORMATION ABOUT THE COURSE please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/

HOW TO APPLY:
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Submitting an online application is easy and free of cost.

Simply visit https://bit.ly/2Fi86SB and follow the instructions.


COURSE OUTLINE:
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This is a one-year full-time or two-years part-time Masters programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering); however, individuals with different backgrounds but equivalent experience will also be considered.

The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out 'in house' or in collaboration with an external partner, either from academia or industry.

For samples of previous students' MSc projects, visit: https://coconeuro.com/index.php/student-projects/

For information about funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/fees-funding/

LINKS WITH INDUSTRY:
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The programme benefits from ongoing collaborative partnerships with several companies having headquarters in UK, USA, Germany, Italy, and Japan. Carrying out your final research project with one of our industry partners will enable you to acquire cutting-edge skills which are in demand, providing you with a competitive profile on the job market and paving the way towards post-Masters internships and job opportunities.

Here are examples of career pathways that our alumni have taken: https://coconeuro.com/index.php/alumni/

For any other specific questions, please do not hesitate to get in touch.

Kind regards,
Max Garagnani
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Joint Programme Leader, MSc in Computational Cognitive Neuroscience
Senior Lecturer in Computer Science
Department of Computing
Goldsmiths, University of London
Lewisham Way, New Cross
London SE14 6NW, UK
https://www.gold.ac.uk/computing/people/garagnani-max/

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