PhD Studentship: Multidisciplinary research in AI

PhD Supervisor: Asieh Salehi Fathabadi

Supervisory Team:

Dr Asieh Salehi Fathabadi, Prof Pauline Leonard, Dr Vahid Yazdanpanah

Project description:

Are you fascinated by the convergence of computer science, and social science? Do you have a keen interest in understanding the intricate dynamics of trust in the context of AI technologies? We invite applications from talented individuals with a background in computer science, proficiency in formal methods, and a genuine enthusiasm for delving into the social implications of technology.

Research Focus:

The primary objective of this doctoral research is to develop an innovative interdisciplinary socio-technical framework that bridges the realms of social science (trust) and computer science (safety). Our aim is to evaluate how AI technical solutions impact social trust within society.

Key Responsibilities:

• Engage in cross-disciplinary research to develop an open-source framework for evaluating the societal impact of AI.
• Collaborate with industrial partners to conducting interviews, collect and analyse data from diverse stakeholder groups across different domains.
• Uphold Responsible Research and Innovation (RRI) principles to ensure ethical standards are maintained.

Qualifications:

We are seeking candidates who hold a Bachelor's or Master's degree in computer science, possess practical experience in AI, and demonstrate a strong interest in qualitative research methodologies. The ideal candidate will have proficiency in formal methods and a solid foundation in AI technologies. And a passion for learning and applying qualitative research methods.

Why Join Us?

This is an exceptional opportunity to contribute to cutting-edge research at the intersection of technology and society. As a doctoral candidate, you will have the chance to work closely with leading experts in both academia and industry, shaping the future of AI policy and innovation.

Funding:

Funding for this project is offered by the Centre for Doctoral Training in Complex Integrated Systems for Defence & Security (CISDnS), which will recruit motivated and inquisitive candidates across the themes of Digital, Physical and Biological systems to provide a diverse and interconnected cohort training environment. As well as carrying out research training in a world-leading research group, membership of CISDnS will provide the opportunity for you to be exposed and trained to handle the interdisciplinary challenges faced in the real-world via a Systems Thinking approach. You will learn about the wider challenges of research and innovation within the Defence & Security sector from both your peers and the numerous industry partners supporting the Centre.

This PhD studentship is open only to UK applicants.

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).

Closing date: 30^th June 2024. 

Funding: Full-time studentships will cover UK course fees and an enhanced tax-free stipend of approx. £23,500 per year for 4 years along with a substantial budget for research, travel, and centre activities. A number of studentships are available and will be awarded on a rolling basis, so you are encouraged to apply early for the best opportunity to be considered.

How To Apply

Apply online by clicking the 'Apply' button, above.

Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Complex Integrated Systems for Defence and Security (Full time)”. In Section 2 of the application form you should insert the name of the supervisor: Asieh Salehi Fathabadi

Applications should include:

• Curriculum Vitae
• Two reference letters
• Degree Transcripts/Certificates to date

For further information please contact: feps-pgr-apply@soton.ac.uk

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