Boasting a diverse array of academic programs, the university cultivates an enriching environment that empowers students to explore their passions and contribute meaningfully to the advancement of knowledge.
Set against the picturesque backdrop of Edinburgh’s iconic landmarks, the vibrant campus exudes a distinctive energy that fosters creativity and fosters critical thinking skills among its students.
At the heart of the university’s ethos is its distinguished faculty, comprised of experts celebrated for their groundbreaking contributions across various academic disciplines. These dedicated educators go beyond conventional teaching methods, nurturing an environment that stimulates independent thought and intellectual curiosity.
With small class sizes ensuring personalized attention, students have ample opportunity to actively engage with their coursework and forge meaningful connections with both peers and professors.
Complementing its academic offerings, the university provides a wealth of extracurricular activities, cultural events, and student-led clubs, enriching the collegiate experience beyond the confines of the classroom. From sports groups to art societies, students have access to a plethora of opportunities for academic and personal growth.
The University of Edinburgh is more than an institution of learning; it is a vibrant community that nurtures well-rounded individuals poised to make positive contributions to their respective fields and society at large.
University of Edinburgh Scholarship Description:
- Host University: University of Edinburgh
- Host Country: United Kingdom
- Study Level: PhD Level
- Scholarship Type: Full Funding
- Scholarship Worth: £1,000 – £29,700
- Eligible Countries: National and International Students
- Subjects Available: Efficient & Reliable Probabilistic Machine Learning
- Application Deadline: March 12th, 2024.
University of Edinburgh Scholarship Benefits:
- Complete coverage of full-time PhD tuition fees, accommodating both students with a Home fee status (£4,712 per year) and those categorized as overseas fee status (£29,700 per year). This financial assistance guarantees that chosen candidates can pursue their research aspirations without the encumbrance of tuition fees, fostering an atmosphere conducive to academic achievement.
- An annual tax-free stipend of GBP £18,622 over a period of 3.5 years. This generous stipend provides essential financial backing, empowering scholars to concentrate on their research and scholarly endeavors without the added burden of financial worries. The stipend not only recognizes the commitment and dedication necessary for successful doctoral research but also aims to allure and retain outstanding talent in the realm of probabilistic machine learning.
- An additional allocation of £1,000 per year is allocated to cover supplementary expenses associated with the research program. This extra financial support guarantees that students possess the resources required to fully engage in their academic and research undertakings, fostering a comprehensive and rewarding experience throughout the PhD program’s duration.
Eligibility Requirements:
- Evidence a strong grasp of mathematics, statistics, probability, and programming, supported by outstanding performance in relevant coursework or successful completion of pertinent projects. This condition underscores the significance of a solid academic footing in foundational areas essential for advanced exploration in probabilistic machine learning.
- Display adeptness with modern deep learning frameworks, encompassing, but not restricted to, PyTorch and JAX. Proficiency in utilizing these tools is imperative for candidates to effectively engage with the intricate methodologies and techniques utilized in the research program, ensuring seamless integration into the academic community.
- Possess a Bachelor’s Hons degree with a classification of 2.1 or higher, or its equivalent, and/or hold a Master’s degree in fields such as Computer Science, Mathematics, Physics, or Engineering. This academic prerequisite guarantees that candidates possess a comprehensive comprehension of the pertinent subject matter, equipping them for the demands and rigor of doctoral-level investigation.
- Exhibit proficiency in English language proficiency, both orally and in writing. This linguistic proficiency requirement is crucial to facilitate efficient collaboration and dissemination of research discoveries within the global academic sphere, aligning with the university’s dedication to fostering international cooperation and inclusivity.
Application Process:
Those who are interested must submit their applications through EUCLID, the university’s admissions site.
“Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology” is the particular program that is intended for application, with a start date of September 2024.
In their submission, candidates must specifically include “Efficient and dependable probabilistic machine learning” and name Dr. Antonio Vergari as their assigned research supervisor.
All academic transcripts and certificates, along with any necessary certified translations, should be included with the application materials.
Additionally, candidates must provide documentation of their fluency in the English language.
A two-page research proposal, out of which candidates explain how their past experiences and present interests relate to the designated research post, is a crucial component of the application.
Official Website:
For more and detailed information, please visit the university’s official website