PhD Student in Computer Vision and Learning Systems (Vision-Language-Action Models) Linköping University in Sweden

Linköping University invites applications for a fully funded PhD position in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). The research will focus on vision-language-action models (VLA), with a particular emphasis on uncertainty handling in these systems. VLAs are increasingly important for simplifying system design in robotics and autonomous driving, enabling verbal user interfaces and leveraging large bodies of text for contextual decision-making. However, a key challenge is their tendency to provide overly confident answers, even when uncertainty is high.

This project builds on advanced research in deep neural networks, specifically in detecting and managing different types of uncertainty. The work will connect uncertainty modeling to interactive data collection, such as user or operator dialogues. The position is part of the ELLIIT excellence centre project, "A Robust and Reliable Vision-Language-Action Interface," and involves collaboration with Lund University, including regular interaction with a twin PhD student based there.

As a PhD student, you will primarily focus on doctoral studies and research, with the possibility of teaching or departmental duties up to 20% of your time. The Division of Computer Vision and Learning Systems (CVL) at ISY offers a vibrant research environment, comprising faculty, assistant professors, postdocs, and PhD students. CVL is recognized as one of Sweden's leading research environments in machine learning and computer vision, with ongoing activities in WASP, ELLIIT, and LiU's Visual Digital Futures profile area.

Applicants must hold a Master’s degree in computer science and engineering, or applied physics and electrical engineering, with at least 240 ECTS credits (including 60 at cycle 2), specializing in computer vision or equivalent. Alternatively, candidates may demonstrate equivalent knowledge through other means. Essential qualifications include strong mathematical skills, experience in machine learning, programming, and visual data analysis. Fluency in spoken and written English is required, and prior publications in computer vision or machine learning conferences are advantageous. Candidates should possess well-developed problem-solving abilities, analytical language skills, and the capacity to work independently and collaboratively in a research environment.

The position is fully funded by the ELLIIT excellence centre, with salary progression determined locally and comprehensive employment benefits provided by Linköping University. The initial employment contract is for one year, with possible renewals up to five years based on teaching and institutional assignments. The start date is flexible, between August and December 2026. Background screening may be conducted prior to employment decisions.

To apply, submit your application via the university's online portal by May 25, 2026. Late applications will not be considered. For further information about the division, visit CVL's webpage or contact the department at [email protected]. Linköping University values diversity and equal opportunities in its recruitment process.