PhD Positions: Machine Learning Algorithms and Their Properties

Announced Tuesday 18 April. Fully funded (includes tuition, stipend, conference travel.)

Open Until Filled.

These positions are open to students in the broad area of algorthms related to Machine Learning. It will be suitable for students interested in one or more areas of:

• Algorithmic aspects: Stochastic Gradient Descent, Stability, Generalisation etc
• Secure and private machine learning (differential privacy, encrypted ML etc)
• Data valuation, coresets, active learning etc
• Fairness and explainability in ML

The student applying for the project should have knowledge of one of the areas mentioned above, and interest in learning other areas. An interest in theory will be useful, as well as some experience of implementing and evaluating models in standard libraries.

The project will have an emphasis on metrics to evaluate data (data valuations), models(in federated learning) etc. The project is quite flexible, and the student will have a oppportunities to explore and research their own ideas and other related areas, such as Trustworthy ML (privacy, fairness and explainability), game theory, blockchains etc.

To discuss more, and for instructions to apply, email Dr. Rik Sarkar:

• With Subject: [PhD Application] ML Algorithms
• Include your CV, transcripts, Brief description of relevant experience, and your area of interest .

University of Edinburgh is highly regarded in computer science and data science. In the latest QS Ranking, it ranks in the top 20 in the world in these areas. The School of Informatics is rated highest in the UK in the quality and breadth of research.