PhD Studentship in Explainable AI, Knowledge Representation and Machine Learning University of Edinburgh, School of Informatics United Kingdom

PhD Studentship in Explainable AI, Knowledge Representation and Machine Learning


Application Deadline: Friday 5th January 2018


Applications are invited for a PhD position in Artificial Intelligence, to be based in the School of Informatics at the University of Edinburgh. The position is an opportunity to combine cutting-edge research at the intersection of knowledge representation and machine learning, in service of enabling explainability in AI, and yield interpretable decision-making models.


Technical themes of interest include (but are not limited to):

  • probabilistic inference and learning

  • probabilistic programming and program induction

  • statistical relational learning

  • commonsense reasoning and learning

  • multi-agent learning and decision-making

  • and combinations thereof involving natural language understanding and human-machine interaction


PhD candidate requirements

The project is suitable for a student with a top MSc or first-class bachelor's degree in computer science, mathematical logic, statistics, physics, or a related discipline.


Previous coursework or experience in machine learning, statistical natural language processing, and programming languages is desirable, although we do not expect students to have all three of these. Because of the scale of the data sets involved, a strong programming background will be essential for this project.



The scholarship consists of an annual bursary up to a maximum of three years. Applicants can also consider applying for a combined MSc + PhD programme in our centre for doctoral training in Data Science and/or Robotics and Autonomous Systems.


Data Science CDT

Robotics CDT


How to apply

For informal enquiries about the position, please contact Vaishak Belle with a short summary of your background and research interests in the technical themes mentioned above. (No attachments please.) 


Prospective Student pointers


Formal application must be through the School's normal PhD application process (opting for the CISA institute)


If you apply for this position please say you saw it on Computeroxy


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