Senior Teaching Fellow/Teaching Fellow in Artificial Intelligence
Are you an experienced and ambitious teacher or practitioner looking for your next challenge? Do you have a background in Artificial Intelligence and want to develop skills in Online Distance Learning and Blended Learning? Do you want the ability to work flexibly and further your career in one of the UK’s leading Universities?
You will play a key role in the development and delivery of the Faculty of Engineering and Physical Sciences’ new portfolio of digital modules and programmes in artificial intelligence and data science. The role will include development and delivery of courses for the University’s Online Distance Learning (ODL) MSc programme in Artificial Intelligence as well as developing digital resources for MOOCs (massive open online courses) and blended learning in on-campus undergraduate and Masters programmes.
You will play an integral role in the development of new sector-leading online learning materials and contribute to the creation of a suite of online modules and programmes. You will be supported by one of the UK’s leading teams of experts in the creation and delivery of digital online resources, the Digital Education Service at Leeds.
You will have a PhD (or close to completion) or extensive relevant industrial experience in artificial intelligence or a closely allied discipline, with specific expertise in artificial intelligence.
To explore the post further or for any queries you may have, please contact:
Professor David Hogg, School of Computing
Tel: +44 (0) 113 343 35765 or email: D.C.Hogg@leeds.ac.uk
The Schools in the Faculty of Engineering & Physical Sciences are proud to have been awarded the Athena SWAN Bronze or Silver Award from the Equality Challenge Unit, the national body that promotes equality in the higher education sector. Our equality and inclusion webpage provides more information.
Location: Leeds - Main Campus
Faculty/Service: Faculty of Engineering & Physical Sciences
School/Institute: School of Computing
Grade: Grade 7 to Grade 8
Salary: £33,797 to £49,553 p.a.
Post Type: Full Time
Contract Type: Fixed Term (Three years)
Closing Date: Sunday 07 June 2020
Interview Date: To be confirmed
Downloads: Candidate Brief