Fredrik Heintz

Linköping University invites applications for a PhD student position in AI and autonomous systems, focusing on Vision-Language-Action (VLA) Models for controlling multiple heterogeneous robots. This research is led by Professor Fredrik Heintz and Dr. Mariusz Wzorek, and will be conducted in close collaboration with the field robotics lab (AILAB) and partners from both the public and private sectors. The successful candidate will 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 PhD project centers on developing and applying VLA models to enable advanced control of multi-robot systems. The research environment is highly interdisciplinary, offering opportunities to collaborate with leading experts in AI, machine learning, robotics, and related fields. Linköping University is recognized as an AI research excellence center, coordinating major initiatives such as the TrustLLM EU project and hosting the Wallenberg AI, Autonomous Systems and Software Program (WASP), as well as the National Academic Infrastructure for Supercomputing in Sweden (NAISS). As a PhD student, you will primarily focus on your doctoral studies and research, with the possibility of teaching or other departmental duties up to 20% of your time. The position is funded by ELLIIT (Excellence Center at Linköping–Lund in Information Technology), a government-funded strategic research area in IT and mobile communications. The employment is typically for four years full-time, with possible extension up to five years depending on teaching and institutional assignments. The initial contract is for one year, with renewals based on progress. Applicants should have a Master’s degree in computer science or equivalent, with strong knowledge in computer science, mathematics, algorithms, and programming. Experience in artificial intelligence, machine learning, deep learning, and generative AI is highly valued. Excellent English communication skills are required, and Swedish language skills are a merit. The university values diversity and equal opportunities, welcoming applicants from all backgrounds. To apply, submit your application online via the official Linköping University job portal before November 27, 2025. Your application should include a personal letter detailing your motivation and qualifications for the position. For more information about the research environment, visit ELLIIT . Join a vibrant research community at Linköping University and contribute to cutting-edge advancements in AI, robotics, and autonomous systems.

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.

Linköping University is advertising two PhD students in Computer Science and one postdoctoral researcher connected to major AI-driven research efforts in Sweden and the EU. PhD opportunity: The PhD positions are in AI for heterogeneous adaptive swarm systems within the new national center CHASS (Center for Heterogeneous Adaptive Swarm Systems). The research focus is on trustworthy swarm coordination and self-governance , as well as safe runtime adaptation and self-improving swarm autonomy . The center brings together AI, autonomous systems, robotics, and swarm intelligence, with applications to drone swarms and other heterogeneous autonomous platforms. The positions are hosted at the Division of Artificial Intelligence and Integrated Computer Systems (AIICS), Department of Computer and Information Science (IDA), Linköping University. Postdoc opportunity: The postdoctoral role is in AI and materials science within the EU project Materials Commons , focused on building a European platform for materials-related data. The work includes extracting knowledge from text data and developing AI capabilities that use those data sources. The postdoc will work in the Reasoning and Learning (ReaL) unit and collaborate with the NLP unit at LiU. Eligibility highlights: PhD applicants should have a Master’s degree in computer science or equivalent advanced coursework, strong foundations in algorithms, programming, mathematics, and AI/ML, and excellent English. Postdoc applicants must hold a doctoral degree (preferably recent), with strong AI/ML/NLP publication record; materials science experience is a plus. Funding and employment: The PhD positions are salaried doctoral employments, normally four years full-time with possible extension. The postdoc is a full-time temporary appointment for two years, extendable to three years maximum. Application windows: PhD deadline: 2026-06-09 . Postdoc deadline: 2026-06-01 . Applicants should use the university application portal and follow the instructions in each vacancy notice. Research keywords: artificial intelligence, machine learning, swarm systems, robotics, autonomous systems, deep learning, generative AI, materials science, NLP, knowledge extraction.