University of Sussex PhD Scholarship in Machine Learning and AI 2019

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Last updated on: 13-Jun-2020
EligibilityPostgraduates in computer science or equivalent
RegionUnited Kingdom
AwardGBP 15,009 per annum and fee waiver
DeadlineClosed

This scholarship is closed for further applications. It is expected to be launched by 08, 2020. You can follow this scholarship for further updates.

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About the Program

The University of Sussex is inviting applications from students having a master's degree in Computer Science or equivalent for fully-funded PhD Scholarship in Machine Learning and AI 2019 in its Wearable Technologies Lab. The selected scholars receive a fee waiver for three years and a tax-free stipend of GBP 15,009 per annum. 

Scholarship
  • University of Sussex PhD Scholarship in Machine Learning and AI 2019 DeadlineClosed
    Eligibility

    To be eligible for the scholarship, an applicant must -

    • Hold a Master's degree in Computer Science, Physics, Mathematics, Computer Engineering, Electrical Engineering or equivalent. 
    • Have prior experience in machine learning and in embedded and wearable systems.
    • Have excellent technical skills such as programming in Matlab, C/C++, or Python. 
    • Have experience with deep learning frameworks and Linux.
    • Be proficient in spoken and written English.
    Benefits

    The selected scholars will receive -

    • A stipend of GBP 15,009 per annum for three years
    • Fee waiver for three years
    Documents
    How can you apply?

    Interested candidates can submit their updated CV to Dr Daniel Roggen (daniel.roggen@ieee.org) for further discussion about the application. 

Terms and Conditions
  • The applicants must commit to pursue leading research and publish results in top venues.
  • Applicants, who are self-motivated, able to work independently and in an interdisciplinary environment, and have an inquiring mind may get preference.  
  • An ideal candidate is required to have a passion for contributing to the development of novel wearables which can improve the quality of life. 
  • Having outstanding technical skills and a strong interest in research at the crossroads of machine learning, signal processing, embedded systems, sensor technologies and their applications gives an extra-edge to the applicants. 

To know more, click here

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