PhD Student in Computer and Systems Sciences - Adaptive Immersive Experiences
Investigate real-time machine learning and context-aware interaction for immersive technologies at Stockholm University.
Best for:Best for computer science and HCI graduates with an interest in XR technologies and real-time machine learning applications.
Overview
Stockholm University’s Department of Computer and Systems Sciences invites applications for a four-year, fully-funded PhD position focusing on adaptive immersive experiences. The successful candidate will research how XR technologies can sense their surroundings and dynamically adapt interaction methods using real-time machine learning. Working within DSV's ExtralityLab alongside senior researchers and postdoctoral fellows, the doctoral student will design, implement, and evaluate novel hands-free interaction artifacts. Responsibilities include conducting independent research, contributing to scientific publications, and undertaking limited teaching and departmental duties up to 20%.
What you'll do
- Design and develop prototypes for context-aware, hands-free interaction across augmented, virtual, and mixed reality.
- Implement real-time machine learning algorithms on interaction data to drive adaptive behavior in physical spaces.
- Conduct empirical evaluations and collect data on user interactions within immersive environments.
- Engage in academic research, write scientific papers, and present findings at international venues.
- Participate in departmental teaching, supervision, and administrative tasks up to 20% of full-time work.
- Collaborate actively with senior researchers, postdoctoral fellows, and the broader international academic community.
Requirements
Degree required: Second-cycle degree (master's degree) or completed courses equivalent to at least 240 higher education credits, with 60 credits in the second cycle including a thesis of at least 15 credits in Computer and Systems Sciences or a related field.
Degree offered: PhD
Language: English equivalent to CEFR Level B2 or higher.
Instruction: English
- Completed second-cycle courses in Computer and Systems Sciences or a closely related discipline totaling at least 60 higher education credits.
- Completed a degree thesis project of at least 15 higher education credits.
- Demonstrated ability to independently analyze, organize, and execute scientific work with methodological maturity.
- Strong problem formulation skills and capability to adhere to project timelines.
- Fulfil general entry requirements for postgraduate education in Sweden.
- Fulfil specific entry requirements regarding second-cycle credits in Computer and Systems Sciences.
Funding & terms
How to apply
Deadline: 2026-10-15
Submit your application through Stockholm University's online recruitment portal before the deadline. Ensure you include all requested attachments, such as a personal statement and curriculum vitae, written in English.
- CV
- Personal letter
- Transcripts
- Thesis
Contact
Donald McMillan· Associate Professor
https://www.su.se/english/divisions/department-of-computer-and-systems-sciences
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