The CDT offers a PhD in Computing Science and Psychology with integrated study. The program includes two parts:
- Part 1: 10 taught courses for a total of 120 credits (Year 1); some cohort building events and a chance to shape the PhD project with the supervisors
- Part 2: a PhD project under the supervision of two academics or one academic and one industrial partner (Year 2-4).
The scholarships offered by the CDT cover the whole program and students are expected to submit their thesis within the 4 years. Throughout the program, students will participate in Cohort Training activities.
Part 1 (Year 1)
During the first year, students are expected to attend the 10 courses for a total of 120 credits. For every course, students should submit the assessed coursework and pass the exam. Condition for admission to the second part of the program is obtainment of at least a D3 grade for every course. Should a student fail to fulfil such a requirement, there will be the possibility to do a 60 credits project and obtain a MSc in Socially Intelligent Artificial Agents.
The taught courses correspond to the four Research Areas of the CDT:
Research Area 1:
- Data Skills for Reproducible Science (20 credits) – Prof. Dale Barr
- Cognitive Brain Imaging Methods (20 credits) – Prof. Lisa DeBruine
Research Area 2:
- Computational Social Intelligence (10 Credits) – Prof. Alessandro Vinciarelli
- Programming for AI (10 credits) – Prof. Alessandro Vinciarelli
- Conversational Interfaces (10 credits) – Dr Mary Ellen Foster
Research Area 3
- Text as Data (10 credits) – Dr Jeff Dalton
- Mobile HCI (10 credits) – Dr Euan Freeman
- Automatic Synthesis of Human Behaviour (10 credits) – Prof. Stacy Marsella
Research Area 4
- Socially Intelligent Artificial Technology in Society (10 credits) – Dr Ruud Hortensius
- Introduction to Social Theory for Researchers (10 credits) – Dr Joanna Ferrie
Part 2 (Year 2-4)
During years 2-4, students are expected to carry out the PhD project they selected at the beginning of the application process. During this period, the students will be supervised by a team that includes either two academics belonging to the supervisory team or one academic belonging to the supervisory team and one industrial partner.
Students are expected to complete and submit their thesis during years 2-4 of the program. Extensions of the funding will be granted only in documented exceptional cases (health issues, personal problems, etc.). The decision about possible extension will be made by the CDT Board (in consulation with UKRI if necessary).
During the entire program (Years 1-4), students are expected to participate in cohort training activities that include, but are not limited to, the following:
- Tutoring other students (e.g., students with a technology background helping students with a psychology background in technology oriented courses and vice versa);
- Designing and organising workshops and/or training events focusing on specific topics relevant to the CDT (e.g., ethics in AI, legal aspects of socially intelligent applications, etc.);
- Internships and Research visits to industrial partners and other relevant bodies (at least 3 months over the course of the program);
- Participation in meetings with the CDT Board;
- Participation in training in Responsible Research Innovation;
- Design and organisation of public engagement events (visits to schools, demonstration of technologies for the lay audience, contacts with the press, etc.);
Participation in the Cohort Training activities is a requirement not optional.