This is one of seven positions as part of a new initiative in our Department and are aimed at people with both an interest in completing a PhD and a passion for teaching.
This specific research project will explore the opportunities and risks associated with the use of artificial intelligence (AI) in higher education. From using AI-assisted marking to reduce staff workload to dealing with students using AI-assisted writing for assignments. The research will consider the needs and desires that drive the use of AI in education; the resulting technical and ethical challenges; potential solutions; and the long-term implications for teachers, students, and the future of university education. The research sits at the intersections of AI + education and research + teaching and provides opportunities to explore state-of-the-art AI technology, integrate research into teaching, and develop a unique specialism for a career in academia. For the first three years, 50% of the role will involve research towards a PhD in Computer Science and 50% teaching in the Computer Science department at Bristol, before choosing different routes (for example completing the PhD full time or continuing the 50/50 split).
There is more information about the academic side of the role here, and more details about the posts, and applying for them here.
URL for further information: https://forms.office.com/r/ZCGS3zzSry
Further Particulars
Candidate Requirements
Applicants must hold/achieve a minimum of a Master’s degree (or international equivalent) in a relevant discipline. Applicants without a master’s qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note, acceptance will also depend on evidence of readiness to pursue a research degree.
These studentships will involve a major role in teaching in the department of Computer Science as a part-time Pathway 3 Teaching Associate, so please only apply if you are interested in a position that involves teaching and related administration.
Basic skills and knowledge required:
Essential:
Excellent analytical skills and experimental acumen. Strong programming skills and a knowledge of AI/machine learning techniques.
Desirable:
A background understanding in one or more of the following:
· Computer Science education
· Artificial Education
· Higher Education theory and practice
Applicants must meet the eligibility and residence requirements, please check the UKRI UK Research and Innovation website.
Informal enquiries
For questions about the role in general, please contact [Email Address Removed]
For questions about eligibility and the application process please contact SCEEM Postgraduate Research Admissions [Email Address Removed]
Application Details
As this is an unusual role, the application process is non-standard – please find more information on this page: https://forms.office.com/r/ZCGS3zzSry
Continue with Facebook
