We offer three full-time and permanent positions as Assistant Professor in Computer Science. The positions include teaching activities, research and co-operation with industry. We are looking for new colleagues who are interested in contributing to our academic environment and who are committed to student learning, actively contribute to your own research and are interested in collaborating with industry. The specific roles are: Reinforcement Learning and Deep Learning: Expertise in machine learning with a focus on reinforcement learning and deep neural networks. Strong research background in developing and applying advanced neural network models to complex real-world problems. Proven experience in advancing AI methodologies and contributing to the academic community through research and publications. Software Engineering for Machine Learning (SE4ML): Expertise in the intersection of software engineering principles and machine learning system design. Research background in building scalable, maintainable, and efficient machine learning infrastructure. Experience with MLOps, version control for models, deployment strategies, and ensuring the quality of machine learning codebases. Trustworthy AI: Expertise in AI interpretability, explainability, and the development of reliable and trustworthy AI systems. Research background in understanding how machine learning models make decisions and ensuring robustness in AI algorithms. Experience in designing solutions that address ethical and legal implications of AI deployment in real-world applications. Teaching is primarily campus-based, performed in both English and Swedish, and distributed over the academic year. Particularly relevant to these positions is teaching in the first and second cycle of education. Academic staff are also expected to participate in Departmental and University activities and administration and collaborate with other academics in the Department's teaching and research activities. We offer an equal and inclusive workplace, and we strongly encourage applications from persons with diverse backgrounds (gender, ethnic background, and nationality). As an employee, you are entitled to favourable benefits regulated in Swedish law and agreements, as well as the benefits offered by Jönköping University. Collective agreements and individual salary settings are applicable. Employment starts at the earliest convenience.

Applications are invited for a postdoctoral fellow of one year, possibly renewable for additional years, in the Department of Computer Science in the Learning Agents Research Group headed by Prof. Peter Stone. Primary responsibilities include performing cutting-edge research in collaboration with faculty, Ph.D. students, and other researchers. The research will focus on developing and testing novel algorithms for in connection with a range of projects related to robotics and multiagent reinforcement learning. Motivating use cases include long-term autonomous service robots, robot soccer, and social navigation.