Lecturer

University of York
July 26, 2024
Contact:N/A
Offerd Salary:£44,263 - £54,395
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
Lecturer

Department

Computer Science

Salary

£44,263 - £54,395 per year

Grade

Grade 7

Contract status

Open

Hours of work

Full-time

Based at

University of York campus (with some remote working options available)

Interview date

Week commencing 19th August 2024

Posted Date

28/06/2024

Apply by

26/07/2024

Job Reference

13435

Documents

  • 13435 Job Description.pdf (PDF, 1242.16kb)
  • Role Description Department

    The Department of Computer Science at the University of York has been a centre of excellence in teaching and research for over fifty years. We are a top 10 UK computer science department and a top 10 university (as ranked by the Times Higher) in the most recent national HE research assessment exercise (REF 2021). Also, the University of York has a Gold TEF teaching award. As such, we are one of only four universities in the UK that have both top 10 REF and gold TEF.

    As part of our on-going commitment to this teaching and research excellence, we are seeking to appoint a lecturer who will complement and enhance the research and teaching strengths of one of our AI-related research groups and support teaching on our new programmes in AI and Data Science. Your research should align with either or both of the AI group and the (Computer) Vision, Graphics and (Machine) Learning (VGL) group. Details of the active research areas of these groups can be found on our public web pages for research.

    Role

    Main purpose of the role:

  • To develop research objectives, projects and proposals and carry out individual or collaborative research projects
  • To integrate into and enhance our existing research groups with a focus in AI related topics.
  • To lead on and/or contribute to the production of research outputs and research outcomes
  • To design, develop and deliver teaching across a wide range of modules and/or within a particular programme or subject area
  • To undertake effectively a range of administrative and managerial responsibilities
  • Skills, Experience & Qualification needed
  • PhD in AI-related area - or significant experience performing research in such an area
  • Appropriate academic professional and teaching qualifications or a willingness to complete the Postgraduate Certificate in Academic Practice
  • Specialist knowledge in Artificial Intelligence (AI) or related area such as Computer Vision or Deep Learning
  • Knowledge of a range of research techniques and methodologies
  • Knowledge of a range of teaching techniques to enthuse and engage students
  • Ability to develop research objectives, projects and proposals
  • Well-developed analytical skills
  • Highly developed oral and written communication skills, including ability to write and/or contribute to publications and/or to disseminate research findings using other appropriate media
  • Proven ability to contribute to high quality research which is publicly evidenced
  • Experience of taking responsibility for teaching and learning at undergraduate and ideally postgraduate level
  • Evidence of successful course planning, design and delivery across a range of modules, with exemplification of teaching materials
  • Show attention to detail and commitment to high quality
  • Display creativity, initiative and judgement in applying appropriate approaches to teaching, learning support and scholarly activities
  • Positive attitude to colleagues and students
  • Please see the job description for the full list.
  • Interview date : Week commencing 19th August 2024

    For informal enquiries: Please contact Prof. Paul Cairns, [email protected]

    The University strives to be diverse and inclusive – a place where we can ALL be ourselves.

    We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University.

    We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork

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