We are looking for computer scientists to teach and help with the running of the Department, particularly with teaching interests in one or more of the core research areas of the Department: Artificial Intelligence, Human-Computer Interaction, Mathematical Foundations, and Visual Computing.
The Department of Computer Science at Bath includes internationally renowned experts, such as Dr Joanna Bryson who has been named as one of the top 10 AI influencers, and Dr Neill Campbell who is a Royal Society Industry Fellow in Visual Computing. We are a highly collaborative team, working together across research topics and disciplines in our Department and beyond. We have recently launched the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI which brings together science, engineering, humanities and social sciences.
What you will do as a Teaching Fellow
Teaching
You’ll have courses to run. This includes designing and delivering the content through lectures, tutorials, and labs. You’ll be educating and inspiring some of the brightest students in the country. We are introducing a range of online and blended learning courses to complement our more traditional courses and it is expected that you would have a key role in these.
Helping with the running of the Department
You’ll have a few roles to help the Department run smoothly. You might be a personal tutor, help with student placements or contribute to admissions.
The support and growth opportunities we will give you
Training for an HEA FellowshipThe qualifications, experience and skills that you need for this role
You need to have:
have an emerging or established reputation for excellent teachinga PhD or be about to complete oneYou might have experience:
tutoringgiving lecturesleading a team or managing team membersFind out more
If you have a question about the role please contact Dr Michael Wright (maew20@bath.ac.uk or +44 (0)1225 386995), however, please ensure that your application is submitted via the University website.
The University offers flexible employment including home working and remote working where appropriate.
We positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity
Closing Date: 17 Nov 2019
Type: Education & Research