PhD studentship: Improving the Transparency of Machine Learning and Intelligent Systems for Autonomy, jointly funded by EPSRC and TRL.
PhD studentship (4 years, fees and stipend fully funded): Improving the Transparency of Machine Learning and Intelligent Systems for Autonomy, jointly funded by EPSRC and TRL. (Note that due to funding restrictions this project is only available to UK Home students. More details on student eligibility can be found at epsrc.ukri.org.)
We are seeking a PhD student in explainable AI for a project that aims to develop tools and methods for interpretability and transparency of intelligent systems, with a focus on applications for transport systems, e.g., to support safety assurance and autonomy. This project will focus on developing tools and models to draw out “what has been learnt and why” by an AI system.
Many recent developments in machine intelligence focus on the quality of training and datasets that are fed into the learning algorithms. The shortfalls of an intelligent system can often be attributed to flaws in the training data, however it is not practical to provide an exhaustive training dataset to guarantee robust behaviour in extreme operating scenarios. On the other hand, the inner workings of intelligent algorithms, including learning algorithms, are often treated as a “black box”. This approach – combined with reliance on the quality of training data - poses a huge challenge for validation and interpretability of AI systems as a whole. This project will develop methods for inspecting the inner workings of representative AI algorithms and methodologies for increasing robustness.
This project includes opportunities for secondment with our industry partner, TRL (www.trl.co.uk). TRL conducts leading edge research into infrastructure, vehicles and human behaviours to enable safer, cleaner, more efficient transport.
Candidates should ideally have a computer science, engineering or data science background, although candidates from other scientific disciplines will be considered. Candidates must have strong analytical skills and solid programming experience, including developing or applying machine learning techniques (ideally including deep neural networks).
Supervisors: Prof Nathan Griffiths, Dr Thomas Popham and Dr Abhir Bhalerao, Department of Computer Science and Department of Engineering, University of Warwick.
For further details please contact Prof Nathan Griffiths, Dr Thomas Popham or Dr Abhir Bhalerao - Nathan.Griffiths@warwick.ac.uk, T.Popham@warwick.ac.uk or Abhir.Bhalerao@warwick.ac.uk
PhD Studentships in Computer Science
Our Centre for Doctoral Training & Postgraduate Research in Computer Science have multiple funded scholarships available for each year. The scholarships cover full fees and stipend payable at current UK Research Council rates. If you would like to be considered please note the next deadline below:
- Open for PhD applications.
- Deadline for Scholarships Applications: January 31, 2021
- Scholarship Decisions: March 2021
Eligibility: Scholarships are open to Home, EU, and international applicants.
Candidates should have a degree in computer science, engineering or a related discipline, with solid mathematical background and strong programming skills.
The Computer Science Department at Warwick is ranked 1st in the UK for scientific output and 2nd overall in the latest UK Research Excellence Framework. The scholarship will give you the opportunity to join a leading Computer Science department, and pursue academic excellence in your chosen area of Computer Science: Artificial Intelligence, Data Science, Human Centred Computing, Systems, Theory, or Applied Computing.
Please apply online by following our application advice.
Please access the following links for details of this funding source