[agents] At least 12 PhD studentships available as part of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence

[NATALIA CRIADO]

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).   
  
The CDT will fund at least 12 students each year for the next 4 years. Applications are open now to start in September 2021. The deadline for the current round of applications is 22 November 2020, with further rounds planned for entry in September 2021.  
  
About the STAI CDT  
The Safe and Trusted AI CDT offers a unique four-year PhD programme, focused on the use of symbolic AI for ensuring the safety and trustworthiness of AI systems. King’s College London and Imperial College London are renowned for their expertise in symbolic AI and host some of the world’s leaders in the area. 
  
Various training activities, alongside individual PhD projects, will train students in state-of-the-art AI techniques and give them the opportunity to acquire a deep understanding of ethical, societal, and legal implications of AI in a research and industrial setting. Through engagement with the CDT’s diverse range of private and public sector partners, students will be exposed to the different experiences, challenges, and technical problems involved in both start-ups and large corporations. 
  
The CDT leadership team is committed to providing an inclusive environment in which diverse students can thrive. Diversity is crucial for enabling world leading research, impact and teaching, and an inclusive environment is vital to allow people to contribute their best. Applications from individuals with non-standard backgrounds (e.g. those from industry or returning from a career break) are encouraged, as are applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates, who are currently under-represented in the sector.  
  
Funding 
Each studentship will be funded for 4 years. This includes tuition fees, stipend and a Research Training Support Grant (RTSG). 
- Stipend: Students will receive a tax-free stipend of around £17,000 per year. 
- RTSG: A generous allowance will be provided for research consumables and additional training, and for attending UK and international conferences. 
Funding is available for home students, and there is limited funding for outstanding international students. 
  
Find out more at:  https://safeandtrustedai.org <https://safeandtrustedai.org/> 
For details on how to apply, see: https://safeandtrustedai.org/apply-now <https://safeandtrustedai.org/apply-now> 
Any questions about the STAI CDT should be sent to stai-cdt at kcl.ac.uk <mailto:stai-cdt at kcl.ac.uk> 
 
Online Information Session, register your attendance 
Join us for an information session to find out more about the CDT! 
 
Date: Monday 2 November, 2020 
Time: 10:00 – 11:30am 
Register: via Eventbrite <https://www.eventbrite.co.uk/e/ukri-cdt-in-safe-and-trusted-ai-information-session-tickets-125484087283> 
 
Our Centre offers an exciting opportunity to develop your skills in one of the fastest growing research areas. A recent UK government report estimated that AI technologies could add £630 billion to the UK economy by 2035, but we need skilled individuals who can address growing concerns about the potential dangers of AI. 
 
Register for our online information session <https://www.eventbrite.co.uk/e/ukri-cdt-in-safe-and-trusted-ai-information-session-tickets-125484087283> to find out more about our programme and how to apply. Joining details are detailed on all registration confirmations under ‘additional information’. 
  
STAI CDT Director Team 
Professor Michael Luck, King's College London, Director of the STAI CDT. 
Professor Alessio Lomuscio, Imperial College London, Deputy Director of the STAI CDT. 
Dr Francesco Belardinelli, Imperial College London, Co-Director of the STAI CDT. 
Dr Elizabeth Black, King's College London, Co-Director of the STAI CDT. 
Dr Natalia Criado, King's College London, Co-Director of the STAI CDT. 
Dr Odinaldo Rodrigues, King's College London, Co-Director of the STAI CDT. 
Professor Francesca Toni, Imperial College London, Co-Director of the STAI CDT. 
  
Web: https://safeandtrustedai.org <https://safeandtrustedai.org/> 
Email: stai-cdt at kcl.ac.uk <mailto:stai-cdt at kcl.ac.uk> 
Twitter: @safe_trusted_ai 
 
 
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