Nestled within the captivating allure of United Kingdom’s capital lies the renowned University of Edinburgh, an emblem of intellectual excellence celebrated for its innovative academic initiatives and pioneering research ventures. With a diverse spectrum of disciplines, the university cultivates an engaging learning environment where students are encouraged to explore their academic passions and actively contribute to the advancement of knowledge. Set against the backdrop of Edinburgh’s iconic landmarks, the lively campus exudes a unique atmosphere that sparks creativity and nurtures critical inquiry.
At the heart of the University of Edinburgh is its distinguished faculty, comprised of esteemed scholars recognized for their groundbreaking contributions across various domains. These committed educators go beyond traditional teaching methods, fostering an environment that encourages curiosity and cultivates independent thinking. With small class sizes ensuring personalized attention, students have the opportunity to deeply engage with their studies and establish meaningful connections with peers and faculty members.
Outside the classroom, the university offers a multitude of extracurricular activities, cultural events, and student-led organizations that enhance the collegiate experience. Whether through participation in sports teams or involvement in artistic endeavors, students have ample opportunities for both academic and personal development. More than just an institution of higher education, the University of Edinburgh is a vibrant community that shapes well-rounded individuals poised to make positive contributions within their 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.
The International PhD Studentships in Effective and Reliable Probabilistic Machine Learning at the University of Edinburgh offer a distinctive opportunity for aspiring researchers in this field. Tailored specifically for international PhD candidates seeking to make significant contributions to the advancement of probabilistic machine learning, this prestigious scholarship underscores the university’s commitment to addressing real-world challenges and expanding the applications of machine learning.
Recipients of these studentships not only benefit from the rich academic environment of the university but also gain access to state-of-the-art research facilities and expert guidance. With a strong emphasis on effectiveness, the program ensures that participants undertake meaningful research with wide-ranging implications. It aims to foster a collaborative and intellectually stimulating atmosphere, encouraging scholars to explore innovative strategies and methodologies in probabilistic machine learning.
Moreover, the global scope of this scholarship highlights the University of Edinburgh’s commitment to international collaboration and diversity in research. Designed to attract exceptional talents from around the world, the program creates a vibrant community of scholars dedicated to pushing the boundaries of knowledge in efficient and reliable probabilistic machine learning.
University of Edinburgh scholarship Benefits:
The fully funded scholarships available for the academic year 2024/25 offer the following benefits:
- Comprehensive coverage of full-time PhD tuition fees, catering to both students with a Home fee status (£4,712 per year) and those classified as overseas fee status (£29,700 per year). This financial aid ensures that selected candidates can pursue their research goals without the burden of tuition fees, creating an environment conducive to academic success.
- An annual tax-free stipend of GBP £18,622 for a duration of 3.5 years. This generous stipend provides crucial financial support, enabling scholars to focus on their research and academic pursuits without the added stress of financial concerns. The stipend not only acknowledges the dedication and commitment required for successful doctoral research but also aims to attract and retain exceptional talent in the field of probabilistic machine learning.
- An additional allocation of £1,000 per year is provided to cover supplementary expenses related to the research program. This additional financial assistance ensures that students have the necessary resources to fully engage in their academic and research endeavors, enhancing the overall experience throughout the duration of the PhD program.
Eligibility Requirements:
To qualify for consideration, applicants must fulfill the specified criteria outlined below:
- Demonstrate a solid understanding of mathematics, statistics, probability, and programming, evidenced by exceptional performance in relevant coursework or successful completion of relevant projects. This requirement underscores the importance of a strong academic foundation in fundamental areas necessary for advanced exploration in probabilistic machine learning.
- Showcase proficiency with contemporary deep learning frameworks, including but not limited to PyTorch and JAX. Competence in utilizing these tools is essential for candidates to effectively navigate the complex methodologies and techniques employed in the research program, ensuring seamless integration into the academic community.
- Hold a Bachelor’s Hons degree with a classification of 2.1 or above, or its equivalent, and/or possess a Master’s degree in fields such as Computer Science, Mathematics, Physics, or Engineering. This academic prerequisite ensures that candidates possess a comprehensive understanding of the relevant subject matter, preparing them for the challenges and rigor of doctoral-level inquiry.
- Demonstrate proficiency in the English language, both verbally and in writing. This linguistic proficiency requirement is vital to facilitate effective collaboration and dissemination of research findings within the global academic arena, aligning with the university’s commitment to fostering international cooperation and inclusivity.
Application Process:
Prospective candidates are required to finalize their applications through the University’s admissions portal, EUCLID. The targeted program for application is “Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology,” scheduled to commence in September 2024. It is essential that applicants explicitly mention “Efficient and reliable probabilistic machine learning” and specify Dr. Antonio Vergari as the assigned research supervisor in their submission.
Application materials should encompass all academic transcripts and certificates, accompanied by certified translations if necessary. Furthermore, applicants must provide evidence of their English language proficiency.
A crucial component of the application is a concise research proposal, restricted to a maximum of 2 pages, wherein candidates articulate how their past experiences and current interests align with the specified research position.
Official Website:
For more and detailed information, please visit the university’s official website: https://www.ed.ac.uk/informatics/postgraduate/fees/research-scholarships/research-grant-funding/phd-studentships-efficient-reliable-probabilistic