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

  •  PhD
  •  Not Specified
  •   United Kingdom
  • $$  Fully funded, including tuition fees, stipend, and additional program costs

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.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.

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The University of Edinburgh Information

The University of Edinburgh Grants

International PhD Studentships in Efficient and Reliable Probabilistic Machine Learning, UK Established in 1583, The University of Edinburgh is a non-profit public higher education institution located in the urban setting of the small city of Edinburgh (population range of 250,000-499,999 inhabitants), Scotland. Officially accredited and/or recognized by the Privy Council, The University of Edinburgh is a very large (uniRank enrollment range: 40,000-44,999 students) coeducational higher education institution. The University of Edinburgh offers courses and programs leading to officially recognized higher education degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 436 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International applicants are eligible to apply for enrollment.

Eligibility Criteria

  • 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.
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Offered 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.

Application Process

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.

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