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Donald McMillan

1 month ago

PhD student in Computer and Systems Sciences, with focus on Adaptive Immersive Experiences Stockholm University’s Department of Computer and Systems Sciences in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Oct 15, 2026

Country flag

Country

Sweden

University

Stockholm University

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Keywords

Computer Science
Cognitive Science
Information Technology
Virtual Reality
Human-computer Interaction
Adaptive Systems
Augmented Reality
Mixed Reality
Immersive Technology
Context-aware Computing
Extended Reality
Responsible Ai
ML

About this position

Stockholm University’s Department of Computer and Systems Sciences (DSV) is offering a PhD position in Adaptive Immersive Experiences. The project sits in a strong international research environment at DSV’s campus in Kista, north of central Stockholm, and is linked to the ExtralityLab, a dedicated space for immersive technologies, tangible interaction, and data science.

The research explores how immersive devices such as smart glasses and mixed reality headsets can sense user context and adapt experiences in real time. The project combines augmented reality, virtual reality, and mixed reality with real-time machine learning on interaction data to build hands-free interaction methods for digitally enhanced physical spaces. The work includes design, implementation, and evaluation of prototypes and artifacts, with an emphasis on responsible and transparent context-aware systems.

Expected research outcomes include design principles for context-aware hands-free interaction in XR, empirical evidence on adaptive behavior driven by real-time machine learning, and frameworks for building such systems responsibly. The position involves both research and teaching activities, and the successful candidate will work closely with two senior researchers and one postdoctoral fellow.

Funding and employment conditions are strong for a doctoral appointment: the position includes a competitive salary, wellness benefits, and support for academic development such as funding for books, conference travel, and professional growth opportunities. The employment is fixed-term as a doctoral student and may last up to four years of full-time doctoral study.

Eligibility is clearly defined. Applicants must satisfy general doctoral admission requirements and the specific requirements for Computer and Systems Sciences, including completed second-cycle studies equivalent to at least 60 higher education credits in the field, a thesis of at least 15 credits, and English proficiency equivalent to CEFR B2. Selection is based on academic readiness, research maturity, independence, communication, cooperation, and subject knowledge. Meritorious experience includes work in computer science, digital media, HCI, and technical development of interactive media or XR experiences.

The application deadline is 15 October 2026. Applicants should submit the application through Stockholm University’s recruitment system, including a personal letter and CV, together with the requested supporting documents. The application is recommended to be written in English.

Funding details

Available

What's required

Applicants must meet both general and specific entry requirements by the application deadline. General entry requirements: a second-cycle degree, or at least 240 higher education credits of which 60 credits must be in the second cycle, or equivalent knowledge. Specific entry requirements: completed second-cycle courses in Computer and Systems Sciences totaling at least 60 higher education credits or equivalent, plus a degree project/thesis of at least 15 higher education credits. English language skills equivalent to CEFR level B2 are required. Meritorious qualifications include oral proficiency in English, analytical thinking, initiative, creativity, independence, relevant research experience in computer science, digital media, HCI or similar, technical skills in building interactive media such as games, apps, or XR experiences with game engines, and understanding of machine learning algorithms for time series and tabular data.

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Professors

Associate Professor at Stockholm University’s Department of Computer and Systems Sciences

University Name
Country flag

Sweden

Research Interests

Augmented Reality

Mixed Reality

Cognitive Science

Human-computer Interaction

Immersive Technology

Associate Senior Lecturer at Stockholm University’s Department of Computer and Systems Sciences

University Name
Country flag

Sweden

Research Interests

Behavioral Neuroscience

Neuropsychology

Virtual Reality

Physiological Monitoring

Psychophysiology