This PhD position at Linköping University focuses on research in Vision-Language-Action (VLA) Models for controlling multiple heterogeneous robots, situated within the Reasoning and Learning Lab (ReaL) in the Division of Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer and Information Science (IDA). The research is led by Professor Fredrik Heintz and Dr. Mariusz Wzorek, with close collaboration with the field robotics lab (AILAB) and partners from both public and private sectors. The university is recognized as an AI research excellence center, coordinating major projects such as TrustLLM and hosting Sweden’s largest basic research program in AI, WASP, as well as the Wallenberg AI and Transformative Technologies Education Development Program (WASP-ED). The division is internationally renowned for its work in artificial intelligence, with a history dating back to the 1970s. The Reasoning and Learning Lab specializes in machine learning, machine reasoning, and their applications in autonomous systems, multi-agent systems, and industrial contexts. The position is funded by ELLIIT, a government-funded strategic research area in IT and mobile communications, providing a vibrant research environment. The PhD employment is typically for four years full-time, with possible extension up to five years based on teaching and institutional duties. Initial employment is for one year, renewable for up to two years at a time depending on progress. Salary is determined by local negotiation, and employment benefits are provided. Applicants must have a Master’s degree in computer science or equivalent, with substantial coursework in computer science, mathematics, AI, or machine learning. Strong skills in algorithms, programming, and communication in English are required; Swedish language skills and undergraduate research experience are considered merits. The university values diversity and equal opportunities. Applications must be submitted by November 27, 2025, via the provided online portal, including a personal letter detailing motivation and qualifications.

Linköping University, a leading center for AI research and education in Sweden, is seeking a PhD student to join the Reasoning and Learning Lab (ReaL) within the Division of Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer and Information Science (IDA). The position focuses on generative machine learning methods for cyber security applications, under the supervision of Professor Fredrik Heintz. The research is part of the WASP NEST SOURCE project, coordinated by Lund University, and the successful candidate will be enrolled in the WASP Graduate School, which offers a comprehensive curriculum, research visits, and networking opportunities with partner universities, industry, and visiting lecturers. The lab conducts research in machine learning, machine reasoning, and their intersection with autonomous systems, multi agent systems, and industrial applications. Linköping University hosts major national and EU-funded AI initiatives, including TrustLLM, WASP, WASP-ED, and the National Academic Infrastructure for Supercomputing in Sweden (NAISS). The PhD position is a full-time employment for four years, extendable up to five years based on teaching and institutional duties. Salary is determined by local negotiation, and employment benefits are provided. Applicants must hold a Master’s degree in computer science or equivalent, with strong knowledge in computer science, mathematics, algorithms, and programming. Experience in AI, machine learning, deep learning, and generative AI is advantageous. Candidates should demonstrate scientific curiosity, independence, teamwork skills, and excellent English communication abilities. Swedish language skills and undergraduate research experience are merits. Applications must include a personal letter detailing motivation and qualifications. The deadline for applications is November 17, 2025. Linköping University values diversity and equal opportunities, and encourages applicants from varied backgrounds. For more information about the WASP Graduate School and the university’s research programs, visit the provided links.