Fully Funded PhD Studentships with the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence

Employer: UKRI, King's Collehe London and Imperial College London Logos
Job location
Job salary
Job term
4 Year Studentship Awards
Job closing date

King's College and Imperial College London invite applications from candidates of academic excellence interested in pursuing a PhD in safe and trusted AI. Twelve fully funded studentships are available.

About Us

The UKRI Centre for Doctoral Training (CDT) in Safe and Trusted Artificial Intelligence (STAI) brings together world leading experts from King’s College London and Imperial College London to train a new generation of researchers in safe and trusted artificial intelligence (AI).

AI technologies are increasingly ubiquitous in modern society, with the potential to fundamentally change all aspects of our lives. While there is great interest in deploying AI in existing and new applications, serious concerns remain about the safety and trustworthiness of current AI technologies. These concerns are well-founded: there is now ample evidence in several application domains (autonomous vehicles, image recognition, etc.) that AI systems may currently be unsafe because of the lack of assurance over their behaviour.

Even in areas where AI methods function to high standards of correctness, there remain challenges. AI decisions are often not explained to users, do not always appear to adhere to social norms and conventions, can be distorted by bias in their data or algorithms and, at times, cannot even be understood by their engineers.

The overarching aim of the CDT is to train the first generation of AI scientists and engineers in methods of safe and trusted AI. An AI system is considered to be safe when we can provide some assurance about the correctness of its behaviour, and it is considered to be trusted if the average user can have confidence in the system and its decision making.

What we offer

The CDT offers a unique four-year PhD programme, focussed on the use of model-based AI techniques for ensuring the safety and trustworthiness of AI systems. Model-based AI techniques provide an explicit language for representing, analysing and reasoning about systems and their behaviours.

Students will engage in various training activities (e.g. technical training in model-based techniques for safe and trusted AI, philosophy and ethics of AI, entrepreneurial mindset training) alongside their individual PhD project, ensuring that not only are they trained in state-of-the-art AI techniques, but also that they acquire a deep understanding of ethical, societal, and legal implications of AI in a research and industrial setting.

Through engagement with the STAI CDT’s diverse range of industrial partners, students will be exposed to the different experiences, challenges, and technical problems involved in both start-ups and large corporations. Students will graduate as experts in safe and trusted AI, able to consider the implications of AI systems in a deep and serious fashion, to recognise this as a key part of the AI development process and equipped to meet the needs of industrial and public sector organisations.


The CDT will fund approximately 12 students to join the programme in September 2021. Studentships are 4 year awards; fully-funded studentships include tuition fees, a competitive tax-free stipend set at the UKRI rate plus London-weighting, and a generous allowance for research consumables and conference travel.

How to Apply

Applications are now open for September 2021 entry. The CDT will be considering applications in several rounds, until all CDT places have been filled. The next application deadline is the 22nd November 2020 (23:59)


Application Deadline 

22 November 2020 

21 March 2021 

13 June 2021 

Notification Expected 

February 2021 

May 2021 

July 2021 

Committed to providing an inclusive environment in which diverse students can thrive, the CDT particularly encourages applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates, who are currently under-represented in the sector.


Find out more:

Join us for an information session to find out more about the Centre!

Date: Monday 2 November, 2020

Time: 10:00 – 11:30am

Register: via Eventbrite


For further details on how to apply via this link:


For any queries please contact the CDT office: