Scholarshipscafe
May 08, 2024
Full time
Doctoral Degree Program in Machine Learning, University of Southampton, United Kingdom The University of Southampton invites applications for a fully-funded PhD Studentship in the field of Next Generation Machine Learning for Data Analysis. This opportunity, supervised by Dr. Andersen Ang, focuses on the development of theoretical foundations, algorithms, and applications for machine learning based on generalized nonconvex low-rank models. The project encourages high-quality theoretical research with flexibility for students to choose specific topics within the project scope. The research involves in-depth theoretical work on machine learning, with a focus on generalized nonconvex low-rank models. Candidates are expected to contribute to the development of faster algorithms, understand the working principles of machine learning, and apply machine learning to solve real-world problems. The project is mathematics-intensive, requiring candidates to learn, understand, and develop theories related to machine learning. Qualification : MSc in applied mathematics, computer science, operations research, statistics, engineering, mathematics, or related discipline with strong theoretical training. Good mathematical skills. Proficiency in a numerical language (such as MATLAB, Python, or Julia). Excellent communication skills in English, both written and oral. How to Apply : Interested candidates should apply online through the University of Southampton's Postgraduate Programme of Study (soton.ac.uk). Select "PhD Computer Science (Full time)" for the 2024/25 academic year, and in Section 2 of the application form, insert the name of the supervisor Dr. Andersen Ang. Documents Research Proposal Two Reference Letters Degree Transcripts/Certificates to date For additional information, contact: Funding : The University offers a range of funding opportunities, including bursaries and scholarships, for both UK and international students. Funding will be awarded on a rolling basis, so early applications are encouraged for the best consideration. For more information, visit PhD Scholarships Doctoral College University of Southampton.