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Lund University

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PhD in Computer Science: Human-Computer Interaction and Visualization at Lund University Lund University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Doctoral student employment at Lund University, full-time fixed-term position for 4 years, with possible extension for teaching/departmental duties. Salary is monthly salary; the post is both student admission and employment.

Deadline

Sep 30, 2026

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Country

Sweden

University

Lund University

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Keywords

Computer Science
Information Technology
Artificial Intelligence
Human-computer Interaction
Data Visualization
Reinforcement Learning
Eye Tracking

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About this position

Doctoral student position in Computer Science at Lund University, Faculty of Engineering (LTH), Department of Computer Science, with a research focus on Human-Computer Interaction, Visualization, and Artificial Intelligence.

The project is led by Dr. Danqing Shi and is carried out in close collaboration with the Lund University Graphics Group (LUGG). The research explores human-AI interaction and computational behavior modeling, including how people respond to AI systems through actions such as prompting, rating, editing, gaze behavior, and interaction dynamics.

As a doctoral student, you will collect and analyze multimodal behavioral data, develop computational models of human behavior, design and run controlled user experiments, and build visualization systems for analysis, explanation, and communication of complex behavioral data. The project also involves AI methods such as reinforcement learning and foundation models, plus collaboration with international research partners.

Eligibility highlights: a second-cycle qualification or equivalent; at least 60 second-cycle credits relevant to the topic, or an MSc in one of the listed engineering fields; documented experience in HCI, visualization, eye tracking, reinforcement learning, or agentic engineering; strong English communication; ability to work independently and collaboratively.

Preferred background: eye tracking or behavioral sensing, deep learning/reinforcement learning/foundation models, human-AI interaction/collaboration/alignment, information visualization or visual analytics, and relevant publications or conference contributions.

Funding and employment: full-time doctoral employment for 4 years at Lund University, with extension possible for teaching and other departmental duties. The post is salaried (monthly salary) and includes standard university employment benefits.

Location: Lund, Sweden.

Deadline: 30 September 2026.

How to apply: Submit an English application including CV, cover letter, degree/study certificates, two recommendation letters, and any additional documents such as a publication list or sample project. Apply via the university’s recruitment system.

Funding details

Doctoral student employment at Lund University, full-time fixed-term position for 4 years, with possible extension for teaching/departmental duties. Salary is monthly salary; the post is both student admission and employment.

What's required

Applicants must meet general doctoral admission requirements: a second-cycle qualification, at least 240 credits with at least 60 second-cycle credits, or equivalent knowledge. Specific requirements include at least 60 second-cycle credits relevant to the topic, or an MSc in Engineering in Computer Science and Engineering, Electrical Engineering, Information and Communication Technology, Engineering Physics, or Engineering Mathematics. Required are documented experience in one or more of Human-Computer Interaction, Visualization, Eye tracking, Reinforcement Learning, or Agentic Engineering; good independence and research problem-solving ability; good written and oral communication skills; good cooperation skills; and good knowledge of English. Preferred qualifications include experience with eye tracking or behavioral sensing, deep learning/reinforcement learning/foundation models, familiarity with Human-AI Interaction/Collaboration/Alignment, information visualization or visual analytics, and relevant publications or conference contributions.

How to apply

Prepare an English application with CV, cover letter, copies of degree/study certificates, two recommendation letters, and any additional supporting documents such as publications or a sample project. Submit through the university application portal before the deadline.

More information can be found here

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