Marco Kuhlmann

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.