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The department's vacancies are also advertised on the University jobs webpages and via, which can be reached using the links on the right

Full Professor in Discrete Mathematics, Algorithms and Complexity, Theoretical Computer Science

The Department of Computer Science and the Department of Mathematics invite applications for a Professor in the core areas of the Department of Computer Science and its Centre for Discrete Mathematics and its Applications (DIMAP): Discrete Mathematics, Algorithms and Complexity, Theoretical Computer Science, or in relevant areas on the interface of Computer Science and Mathematics.

Candidates should have an internationally leading research profile and be able to provide academic leadership.

Informal enquires can be addressed to Professor Ranko Lazic (Head of Computer Science), Professor John Greenlees (Head of Mathematics), or Professor Artur Czumaj (Head of DIMAP).

Closing date: September 1, 2019.

The official announcement (including full details of the selection criteria for this role and instructions of how to apply) can be found at

Mon 05 Aug 2019, 11:19 | Tags: Vacancies

PhD studentship (4 years fully funded): Improving Transparency of Intelligent Systems to Support Safety Assurance for Autonomy, jointly funded by EPSRC and Jaguar Land Rover.

We are seeking a PhD student for a project that aims to develop tools and methods to improve transparency of intelligent systems for autonomous driving applications, in order to help establish a safety assurance framework for intelligent systems deployed for vehicular autonomy.

Many recent developments in machine intelligence focus on the quality of training and datasets that are fed to the learning algorithms. The shortfalls of an intelligent system are almost always attributed to flaws in the input data. There is also an existing consensus around the implausibility of providing an exhaustive training dataset so that the intelligent system behaves in a robust manner under normal as well extreme operating scenarios. On the other hand, there is little rigorous understanding into inner workings of intelligent algorithms which are conventionally treated as a “black box”. This approach – combined with reliance on quality of data and training - poses a huge challenge for validation and interpretability of AI systems as a whole. This project will focus on developing tools and models to draw out “what has been learnt and why” by an AI system so that a safety assurance argument can be constructed for intelligent autonomy.

Note that this project includes a 3-month secondment with Jaguar Land Rover Autonomy Research.

Candidates should ideally have a computer science, engineering or data science background, although candidates from other scientific disciplines will be considered. Candidates should have strong analytical skills, and should have solid programming experience, including developing or applying machine learning techniques (ideally including deep neural networks).

For further details please contact Prof Nathan Griffiths, Dr Thomas Popham or Dr Abhir Bhalerao -, or

Tue 09 Jul 2019, 11:21 | Tags: Vacancies

Research Fellowships

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