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Location

Canterbury, Kent | United Kingdom

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Job description

School of Computing

Location: 

Canterbury

Salary: 

£36,386 to £50,300 per annum

Grade: 

Grade 7 Academic to Grade 8

Post Type: 

Full Time

Contract Type:

Permanent

Release Date: 

Wednesday 06 March 2024

Closing Date: 

23.59 hours BST on Tuesday 02 April 2024  (unless otherwise stated)

Reference: 

CEMS-229-23-R2

The School of Computing is seeking to appoint a lecturer who is committed to excellence in teaching and research to complement the School's existing research strengths in Artificial Intelligence or Data Science.

In this role, you will be required to teach at both the undergraduate and postgraduate levels and to make a significant contribution to the School’s high level of student engagement.

The appointee will be part of the Artificial Intelligence and Data Analytics research group. The AIDA group has ongoing research activities in machine learning (including natural language processing), robotics and applied data science. A particular characteristic of the group is an extensive engagement with industry and other external stakeholders to solve real world problems, especially related to healthcare and ageing using state of the art AI and Data Science. 

We would particularly welcome applications from candidates with relevant background to support research in one of our 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 Analytics Research group

 

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).

To submit your application, please follow the link below. Full details of how to apply are included in the attached job description. You are required to submit an academic CV, letter of application and a plan for your research over the next three years.

 

For further information regarding the application process please contact the HR Team at: [email protected] quoting reference number CEMS-229-23-R2

We particularly welcome applications from female candidates as they are under-represented at this level in this area

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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Job tags

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Salary

£36.39k - £50.3k per annum