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Assistant/Associate Professor in Computer Science

Durham University - Department of Computer Science

Location: Durham
Salary: £33,797 to £59,135
Hours: Full Time
Contract Type: Permanent
Placed On: 5th November 2019
Closes: 10th January 2020
Job Ref: COMP20-7

The Department of Computer Science at Durham University seeks to appoint an Assistant Professor in Computer Science (Grade 7 or 8), or an Associate Professor (Grade 9) for appropriately qualified candidates. The successful candidate will have research and teaching interests in Artificial Intelligence, and we are particularly eager to hear from applicants with a focus on (analysing and developing methods of avoiding) Bias in (Applied) Artificial Intelligence.

Bias can be introduced in many forms, from data to methods and algorithms, and it impacts negatively on people as well as research quality. It affects an increasing amount of areas, including sensitive ones, such as healthcare, law, criminal justice, hiring. An important task for researchers is to use AI to identify and reduce (human or machine) biases, as well as improve AI systems, to prevent introducing and perpetuating bias. This Call specifically targets researchers looking at all aspects of Bias in Artificial Intelligence, and special attention will be given to candidates who have been or show potential towards providing real world, industrial-strength applicability, individually or in collaboration with colleagues within or outside the department.

Computer Science at Durham is a growing department with considerable investment in people, buildings and facilities. This is an exciting time to join this outstanding, innovative, and inclusive department.

As a University we foster a collegiate community of extraordinary people aligned to the University’s 5 values (inspiring; challenging; innovative; responsible; enabling). Furthermore Equality, Diversity, and Inclusion (EDI) are a key part of the University’s Strategy and a central part of everything we do, including ensuring we recruit the World’s best candidates regardless of background or identity.

The successful candidate will be able to provide evidence of outstanding research and teaching potential as well as demonstrating a commitment to EDI and the values of the University.

   
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