Two new Assistant Professor positions available at Lancaster University Leipzig, one with a focus on data science, one focussed on cyber security. Lancaster University Leipzig is a young branch campus of Lancaster University, based in Leipzig Germany. The department is focussed on intelligent systems, including topics such as emergent behaviour, unconventional computing, quantum software engineering, and robotics. These are grade 8 openings, so we would expect to see a research plan and teaching experience from interested applicants (grade 7 is the typical entry-level asst. prof. level).

The Faculty of Computer Science of HSE University invites applications for full-time, tenure-track positions of Assistant Professor in all areas of computer science including but not limited to artificial intelligence, machine learning, computer vision, programming language theory, software engineering, system programming, algorithms, computation complexity, distributed and parallel computation, bioinformatics, human-computer interaction, and robotics. The successful candidate is expected to conduct high-quality research publishable in reputable peer-reviewed journals with research support provided by the University.

The School of Computer Science in the Gallogly College of Engineering at the University of Oklahoma seeks applications for a tenure-track assistant professor position in the area of hybrid machine-learning/first-principles modeling with a targeted start date of Fall 2024. Candidates are expected to leverage existing first-principles modeling strengths across GCoE as well as existing strengths in machine learning and data mining in CS. The role involves supporting OU's strategic research verticals and engaging in collaborative research. The position also includes teaching responsibilities, advising M.S. and Ph.D. students, and contributing to the advancement of the community.

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.

The Department of Computing and Information Sciences invites applications for a tenure-track assistant professor in Computer Science with a start date of August 16, 2025. This colleague will be responsible for teaching and conducting scholarly work in computer science. A faculty member hired into this position will be expected to teach courses in computer science, advise and mentor students in various computing programs, take part in research / scholarly activities, help expand undergraduate research, as well as participate in service activities for the department, college, university, and research community. The standard teaching load is 9 credit hours per semester.

The Faculty of Computer Science at HSE University Moscow is looking for tenure-track assistant professor positions in various computer science areas. Successful candidates will conduct impactful research with institutional support. Positions typically begin in September 2025, with an initial three-year term.