University of Sussex PhD Scholarship in Machine Learning and AI 2019

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EligibilityPostgraduates in computer science or equivalent
RegionUnited Kingdom
AwardGBP 15,009 per annum and fee waiver
DeadlineClosed

About the Program

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Last Updated On : 13-06-2020   Posted By : Admin

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. 

  • 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
    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. 

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This scholarship is closed for further applications. It is expected to be launched by May, 2024. You can follow this scholarship for further updates.

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