This is a university doctoral position that involves minor teaching duties. The precise research topics are negotiable within the scope of active research at IIS, including machine learning and growing levels of AI for computer vision and robotics. Of particular interest are topics in representation learning and causality for out-of-distribution situations.

Fordham University (New York City) has developed a unique Ph.D. program in Computer Science, tuned to the latest demands and opportunities of the field. Upon completion of the Ph.D. in Computer Science program, students will be able to demonstrate the fundamental, analytical, and computational knowledge and methodology needed to conduct original research and practical experiments in the foundations and theory of computer science, in software and systems, and in informatics and data analytics. They will also be able to apply computing and informatics methods and techniques to understand, analyze, and solve a variety of significant, real-world problems and issues in the cyber, physical, and social domains. Furthermore, they will be able to conduct original, high-quality, ethically informed, scientific research and publish in respected, peer-reviewed, journals and conferences. Lastly, they will be able to effectively instruct others in a variety of topics in Computer Science at the university level, addressing ethics, justice, diversity, and sustainability. This training and education means that graduates can pursue careers at the university level, but also research and leadership positions in industry and government and within the leading technology companies. A hallmark of the program is early involvement in research, within the first two years of the program. Students will have the opportunity to carry out research in machine learning and AI/robotics, big data analytics and informatics, data and information fusion, information and cyber security, and software engineering and systems.

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.