PhD Studentship in Human-Computer Interaction and Critical Computing (Fixed Term)

Cambridge Enterprise; United Kingdom; Remote; GBP 18,000 - 22,000; Full time

Job summary

The University of Cambridge, Department of Computer Science and Technology, invites applications for a fixed-term doctoral studentship in the Aspirational Computing Lab. The project combines human-computer interaction and critical computing, exploring deception-by-design and related topics with supervision from Dr.

Seaborn, offering opportunities for teaching and outreach within a collaborative research environment.

Qualifications

• First-class honours or equivalent in HCI/critical computing.
• Master's degree or related postgraduate work desirable.
• Ability to propose a research question and plan.

Responsibilities

• Train and gain experience in the first half of the year under supervision of Dr. Seaborn and senior researchers.
• Lead the research in the second half and carry out the doctoral dissertation.
• Collaborate on other projects, participate in research communication and outreach, and take on teaching/supervision duties.

Skills

HCI fundamentals

User-centred design

Communication skills

Research methods with human subjects

Data analysis (R)

Deception in computing

Publications/portfolio/open-source

Programming/ML

Interaction design

Research design

Education

First-class honours or equivalent in HCI/critical computing

Masters/postgraduate degree desirable

Tools

R

Job description

Fixed-term: The funds for this post are available for 3.5 years.

A doctoral studentship is available in the Aspirational Computing Lab in the Department of Computer Science and Technology (CST) at the University of Cambridge.

The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and critical computing.

Topics of interest include:

• Persuasion and deception in conversational agents across and beyond text and voice modalities
• Drivers of influence and over trust in conversational agents that are charming and disarming
• Interventions against specific cases of interface deception, digital addiction, and/or overreliance on technology across digital platforms and products

Other critical computing topics - including all matters of equality, diversity, and inclusion (ED&I or DEI), accessibility and inclusive design, feminism and intersectionality, trans and gender diversity studies, and misinformation and information deception - will also be considered. However, the topics must fall under the purview of the Aspirational Computing Lab and be supervisable by Dr. Seaborn.

The applicant must propose a specific research question with an accompanying methodology and research plan that demonstrates their interest, knowledge, and ability to think as a researcher within the joint context of HCI and critical computing.

In the first half year, the candidate will work closely with Dr. Seaborn and senior researchers to train and gain experience on the research topic and relevant methods. By the second half, the candidate will take on a leading role and begin carrying out the research comprising their doctoral dissertation. The candidate is expected to join other projects, participate in research communication and outreach, and take on other supporting roles. Notably, the candidate can be trained in small group teaching and invited to take on undergraduate supervisions. Candidates must be self-motivated, collaboration-oriented, and open to interdisciplinary work and team contexts.

Qualifications/Skills

• Holding a first-class honours degree or equivalent; a Master's-level degree (or other postgraduate work) is highly desirable; these should be relevant to HCI and/or critical computing and the proposed topic
• Solid understanding of HCI fundamentals and user-centred design
• Solid communication and interpersonal skills, including the ability to work with people of diverse backgrounds and across disciplinary conventions
• Solid understanding of research methods involving human participants, especially experimental design
• Basic understanding of data analysis approaches and tools, including statistics platforms like R and/or methods like thematic analysis
• Familiarity with deception within the context of computing and HCI
• Relevant publications, industrial output, or portfolio items, including open-source projects
• Practical skills in at least two of (a) programming and/or machine learning, (b) interaction design, and/or (c) research design

Applicants are expected to apply for the University Funding Competitions, but, in the event of an unsuccessful funding application, Dr. Seaborn may have the ability to award the successful candidate with a Home Rate Studentship. Note that a successful international student would need to self-fund the difference between the home and international fees.

The University actively supports equality, diversity, and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.