|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||£18,622 - please see advert|
|Placed On:||27th September 2023|
|Closes:||24th November 2023|
PhD studentship in Specifying Safety in Hybrid Artificial Intelligence Systems
Deadline: 24 November 2023 (or until position is filled)
One fully funded, full-time PhD position to work with Craig Innes in the Institute for Perception, Action, and Behaviour (IPAB) at the School of Informatics, University of Edinburgh.
This project aims to guarantee safety and trustworthiness within Hybrid AI Systems --- systems which mix traditional software components with machine learning (ML) components.
Such combinations are increasingly common in modern cyber-physical systems, from automated vehicles to robotic manipulators.
Possible topics include (but are not limited to):
Studentship and eligibility
The School funded studentship starting in the academic year 2023/24 covers:
Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: Informatics: IPAB: Robotics, Computer Vision, Computer Graphics and Animation PhD.
Applicants should state “Specifying Safety in Hybrid Artificial Intelligence Systems” and the research supervisor Craig Innes in their application and Research Proposal document.
Complete applications submitted by 24 November 2023 will receive full consideration; after that date applications will be considered until the position is filled. The standard anticipated start date is September 2024, although start dates of January 2024 (home applicants) or May 2024 (home/international applicants) are also possible. Please be advised that depending on the date an offer is made, later start dates might need to be considered for international applicants needing to complete immigration processes prior to commencing studies.
Applicants must submit:
Only complete applications (i.e., those that are not missing the above documentation) will progress forward to Academic Selectors for further consideration.
Type / Role: