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EPSRC DTP Studentship - Adaptive brain-machine interfaces

Location: Cambridge
Company: University of Cambridge
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Brain Computer Interfaces are an emerging technology that will revolutionise neuroscience and medicine. A central obstacle in this field is understanding how neural activity evolves over time as animals and humans learn and adapt. This is a collaborative project between theorists and experimentalists to develop and provide proof of principle of robust, reliable neural decoding algorithms and a deeper understanding of neural data. The project will build on ongoing collaborative work between groups in Cambridge and Harvard Medical School, with opportunities to develop new collaborations.

A strong interest in neuroscience or biology is essential, as well as an ability to initiate and organise collaborative work, and communicate across disciplines. Strong, demonstrated programming skills are required and a familiarity with statistical signal processing and machine learning is desirable. We particularly encourage applications from underrepresented groups.

EPSRC DTP studentships are fully-funded (fees and maintenance) for eligible UK students. International (including EU) students will be considered for partial funding (home-level fees and maintenance) from the DTP. We recommend that international students follow the instructions below and apply for admission to the PhD via the applicant portal by 3 December, in order that they can also be put forward for funding from the Cambridge Trust for the home-overseas fee difference if selected.

Further details about eligibility and funding can be found at:

Applicants should have (or expect to obtain by the start date) at least a first class degree in an Engineering, Mathematics, Computer Science, Statistics, or a related subject.

To apply for this studentship, please send your two page CV and a statement describing your research interests and motivation to Dr Timothy O'Leary ( as soon as possible and no later than 28 February 2021.

Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply for admission through the University's Graduate Admissions application portal; this can be done before or after applying for this studentship. Note that there is a £70 fee for PhD applications. The applicant portal can be accessed via: The funding is conditional on submitting this application before 31 March 2021.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

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