[agents] PhD position on Explainable AI and human-computer collaboration at the University of Edinburgh
Kobi Gal
kobig at bgu.ac.il
Sun Jun 14 14:33:05 EDT 2020
Application deadline: July 30 2020
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 human-computer collaboration and explainable AI in service
of building computer systems that learn to collaborate with their human
users and guide their interaction over time.
Technical themes of interest include (but are not limited to):
- multi-agent learning and decision-making
- AI for social good
- Incentive design for human-computer collaboration
- Artificial Intelligence in education
Desired Background
The project is suitable for a student with a top MSc or first-class
bachelor's degree in computer science, cognitive psychology, statistics,
physics, or a related discipline.
Previous coursework or experience in machine learning, artificial
intelligence, 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.
For further information please contact Dr. Kobi Gal (kgal at inf.ed.ac.uk). (
http://homepages.inf.ed.ac.uk/kgal/index.html)
Why Edinburgh
The School of Informatics at the University of Edinburgh has one of the
largest concentrations of computer science research in Europe, with over
100 faculty members and hundreds of PhD students. The school is
particularly strong in the research area of artificial intelligence. Our
strength in these areas have been recognized by award of EPSRC Centre for
Doctoral Training in Data Science. The University of Edinburgh is one of
the founding partners of the Alan Turing Institute, the UK's national
research institute for data science.
Funding Information
The position is fully funded. The scholarship consists of an annual bursary
up to a maximum of three years.
Application Information
For informal enquiries about the position, please contact Dr Kobi Gal
with a short summary of your background and research interests in the
technical themes mentioned above.
For full consideration, please apply by July 30, 2020.
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