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Computer and Systems Sciences● Open⏰ 0 days leftPreview

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.

Stockholm University · Stockholm, Sweden · R1 · First-stage researcher
More professors at Stockholm University
Extended RealityHuman-Computer InteractionReal-time Machine LearningContext-Aware SystemsImmersive Interaction
Deadline
Oct 15, 2026
0 days
Funding
Salaried
Fixed salary according to university doctoral student pay scales
Start date
flexible
Full-time
Location
Stockholm
Sweden

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%.

PhDXRAugmented RealityVirtual RealityMachine LearningHCIStockholm University

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

Required skills
  • 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.
Nice to have
Relevant research experience in computer science, digital media, or human-computer interaction.Technical proficiency in building interactive media such as games, apps, or XR experiences using game engines.Understanding of machine learning algorithms and their application to time series and tabular data.Demonstrated oral proficiency in English with strong initiative, creativity, and independent analytical thinking.
Eligibility
  • Fulfil general entry requirements for postgraduate education in Sweden.
  • Fulfil specific entry requirements regarding second-cycle credits in Computer and Systems Sciences.

Funding & terms

Type
Salaried
Amount
Fixed salary according to university doctoral student pay scales
Duration
4 years fixed-term
Programme
Stockholm University
Stockholm University

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.

Documents required
  • CV
  • Personal letter
  • Transcripts
  • Thesis
↗Apply on site

Contact

DM
Prof.
Donald McMillan
Department of Computer and Systems Sciences
Lab
ExtralityLab
Stockholm University
Sweden
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