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School of Biological and Behavioural Sciences

Understanding the Impact of Artificial Social Agents on Human Behavior and Society

Research environment

The School of Biological and Behavioural Sciences at Queen Mary is one of the UK’s elite research centres, according to the 2021 Research Excellence Framework (REF). We offer a multi-disciplinary research environment and have approximately 180 PhD students working on projects in the biological and psychological sciences. Our students have access to a variety of research facilities supported by experienced staff, as well as a range of student support services.

The Department of Psychology, SBBS, and Queen Mary, provide an environment for high quality training. Within Psychology, knowledge exchange and collaboration is supported via initiatives for all students and staff. Psychology organises weekly Departmental seminars where external speakers, staff, and students present their work to undergraduate and postgraduate students and staff.

Training and development

Our PhD students become part of Queen Mary’s Doctoral College which provides training and development opportunities, advice on funding, and financial support for research. Our students also have access to a Researcher Development Programme designed to help recognise and develop key skills and attributes needed to effectively manage research, and to prepare and plan for the next stages of their career.

Supervisors hold regular lab meeting with PhD students and postdocs as formal space for mentoring (e.g., students learn to design, execute, and troubleshoot projects) and to encourage informal mentoring between students. PhD students are given the opportunity to co-supervise undergraduate projects aligned with their own research to develop management skills. 

Training on writing skills, presentation skills, teaching and statistics will be offered among other areas for personal and professional development. More details can be found here: https://www.qmul.ac.uk/doctoralcollege/phd-students/training/ 

Project description

Artificial intelligence (AI), known by some as the industrial revolution (IR) 4.0, is going to change not only the way we do things, how we relate to others, but also what we know about ourselves. Artificial Social Intelligence (ASI) is a field of artificial intelligence that focuses on enabling machines and AI systems to understand, interact, and behave in a socially intelligent and human-like manner.

The objective of this Ph.D. project is to explore and analyze the social and psychological implications of interacting with artificial social agents, such as chatbots, virtual assistants, and AI-driven avatars, on human behavior and society.

The methodology used will include:

  • a) qualitative and quantitative data collection
  • b) experimental studies
  • c) longitudinal analysis
  • d) comparative analysis
  • e) other potential approaches

The outcome of the project will contribute to the growing body of knowledge on the social implications of AI and help guide the responsible development and deployment of artificial social agents. It can also inform policy and ethical considerations in the AI industry.

Funding

This studentship is open to students applying for China Scholarship Council funding. Queen Mary University of London has partnered with the China Scholarship Council (CSC) to offer a joint scholarship programme to enable Chinese students to study for a PhD programme at Queen Mary. Under the scheme, Queen Mary will provide scholarships to cover all tuition fees, whilst the CSC will provide living expenses for 4 years and one return flight ticket to successful applicants.

Eligibility and applying

Applicants must be:
- Chinese students with a strong academic background.
- Students holding a PR Chinese passport.
- Either be resident in China at the time of application or studying overseas.
- Students with prior experience of studying overseas (including in the UK) are eligible to apply. Chinese QMUL graduates/Masters’ students are therefore eligible for the scheme.

Please refer to the CSC website for full details on eligibility and conditions on the scholarship. 

Applications are invited from outstanding candidates with or expecting a top MSc or first-class bachelor's degree in Computer Science, Human Computer Interaction, Psychology, Artificial Intelligence, Data Science or a related discipline.
Previous coursework or experience in machine learning, artificial intelligence, natural language processing, and programming languages is desirable, although we do not expect students to have all of these.

Applicants from outside of the UK are required to provide evidence of their English Language ability. Please see our English Language requirements page for details: https://www.qmul.ac.uk/international-students/englishlanguagerequirements/postgraduateresearch/   

Informal enquiries about the project can be sent to Dr Maria Bada at m.bada@qmul.ac.uk 

Formal applications must be submitted through our online form by 31st January 2024 for consideration, including a CV, personal statement and qualifications. You must meet the IELTS/ English Language requirements for your course and submit all required documentation (including evidence of English Language) by 14th March 2024. You are therefore strongly advised to sit an approved English Language test as soon as possible. 

Shortlisted applicants will be invited for a formal interview by the supervisor. If you are successful in your application, then you will be issued an QMUL Offer Letter, conditional on securing a CSC scholarship along with academic conditions still required to meet our entry requirements. Once applicants have obtained their QMUL Offer Letter, they should then apply to CSC for the scholarship by in March 2024 with the support of the supervisor.

Only applicants who are successful in their application to CSC can be issued an unconditional offer and enrol on our PhD programme. For further information, please go to: https://www.qmul.ac.uk/scholarships/items/china-scholarship-council-scholarships.html 

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