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International PhD Studentships in Efficient and Reliable Probabilistic Machine Learning, UK

The University of Edinburgh is providing a International PhD Studentships in Efficient and Reliable Probabilistic Machine Learning in the UK.

This educational program is to assist talented and deserving students who want to commence a PhD degree programme. The funding is open for the academic year 2024/2025.

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The School of Informatics is one of the largest in Europe and currently the top Informatics institute in the UK for research power, with 40% of its research outputs considered world-leading (top grade). The University of Edinburgh is constantly ranked among the world’s top universities and is a highly international environment with several centres of excellence. As the sixth-oldest university globally, the University of Edinburgh boasts a rich legacy of knowledge creation, dissemination, and curation.

Application Deadline: Complete applications submitted by 12 March 2024 will receive full consideration; after that date, applications will be considered until the position is filled.

Brief Description

  • University or Organization: University of Edinburgh
  • Department: School of Informatics
  • Course Level: PhD
  • Award: Fully funded, including tuition fees, stipend, and additional program costs
  • Access Mode: Online
  • Number of Awards: Two
  • Nationality: Domestic and International students
  • The award can be taken in United Kingdom

Eligibility

  • Eligible Countries: Open to all nationalities
  • Acceptable Course or Subjects: The scholarship will be awarded in any subject offered by the university
  • Admissible Criteria: To be eligible, the applicants must meet all the following/given criteria:
  • A strong background in math, statistics, probability, and programming, as demonstrated by grades in relevant courses or by previously taken projects.
  • Proficiency with modern deep learning frameworks such as PyTorch, JAX.
  • A Bachelor’s Hons degree (classification 2.1 or above, or equivalent) and/or Master’s degree in Computer Science, Mathematics, Physics, or Engineering.
  • Proficiency in English (both oral and written).
  • Previous experience in probabilistic modeling and programming is desirable.

How to Apply

Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following program: Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology with a start date of September 2024.

Applicants should state “Efficient and reliable probabilistic machine learning” and the research supervisor (Dr. Antonio Vergari) in their application. The start date is September 2024, but other start dates can be considered.

Benefits

The funded studentships starting in the academic year 2024/25 cover:

  • Full-time PhD tuition fees for a student with a Home fee status (£4,712 per annum) or overseas fee status (£29,700 per annum).
  • A tax-free stipend of GBP £18,622 per year for 3.5 years.
  • Additional program costs of £1,000 per year.

Applicants must submit:

  • All degree transcripts and certificates (and certified translations if applicable).
  • Evidence of English Language capability.
  • A short research proposal highlighting how previous experience and current interests match this position (max 2 pages). This is perhaps the most crucial document, take your time to carefully write it!
  • A full CV and cover letter (max 1 page).
  • Two references (it is the applicant’s responsibility to ensure reference letters are received before the deadline).

Only complete applications will be considered.

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