PhD Studentship: Machine Learning: 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.
PhD Studentship: Next Generation Machine Learning for Data Analysis
Designation: PhD Student
Research Area/Topics:
- Nonsmooth Nonconvex Optimisation
- Optimisation on Manifold
- Analysis of Optimisation Algorithm by Differential Equations
- Submodularity and Combinatorial Optimisation
- Graph-theoretic Machine Learning
- Numerical Analysis / Numerical Linear Algebra
- Tensor-based Signal Processing
- Optimal Transport for Machine Learning
- Foundation of Machine Learning via Clifford-Grassmann Algebra
- Foundation of Machine Learning via Subtropical Algebra
Location: University of Southampton, Southampton, United Kingdom
Eligibility/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).
Desirable Skills:
- Excellent communication skills in English, both written and oral.
Job Description: 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.
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.
Applications must include:
- Research Proposal
- Curriculum Vitae
- Two Reference Letters
- Degree Transcripts/Certificates to date
For additional information, contact: feps-pgr-apply@soton.ac.uk
Last Date for Apply: 20 May 2024
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.
