Lecturer in Computing (AI)

The School of Computing is a welcoming and diverse environment that has been recognised with a Bronze Athena SWAN award. Our staff and students come from all over the world, and we are proud of our friendly and inclusive culture. We support colleagues through a number of family-friendly policies, including a core hours’ policy and the right to apply for flexible working, and support for staff returning from periods of extended absence (for example, parental leave).

We are seeking to appoint a lecturer who can complement the School's existing research strengths in Artificial Intelligence or Data Science. The appointee will be part of the Artificial Intelligence and Data Science research group. The group is particularly keen to strengthen its research in the following three priority areas:

• Robotics
• Natural Language Processing
• Theory of Machine Learning

As a Lecturer in Computing you will:

• Undertake teaching of both undergraduate and postgraduate students, including the development of new modules and supporting student learning.
• Deliver and develop excellent teaching and learning support material across a range of modules to achieve the highest standards of student experience in a variety of settings. 
• Undertake research of the highest quality within the School of Computing to enhance the University’s next REF (Research Excellence Framework) submission.
• Develop further skills in, and knowledge of, teaching methods and techniques.

To succeed in this role you will have:

• A first degree or equivalent in a relevant subject area
• PhD in a discipline relevant to Computer Science (completed or near completion).
• Experience of teaching computing at higher education level
• The ability to engage the interest and enthusiasm of students and inspire them to learn
• Ability to make a strong contribution to the research undertaken in the School in an area relevant to the Artificial Intelligence and Data Science Research group

Please see the links below to view the full job description and to apply. For further information regarding the application process please contact Peta Budd on P.V.M.Budd@kent.ac.uk quoting ref number: CEMS 229-23-R

Further details:   

Please note that we prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forward.

Applications must be made via the University’s online application system; CVs or details sent directly to the department or via email cannot be considered.

The University of Kent values diversity and promotes equality at all levels.

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