Umeå University welcomes applications for a tenure track position as Assistant Professor.
The position, which is established through the Wallenberg AI, Autonomous Systems and Software Program (WASP, http://wasp-sweden.org/), comes with a substantial recruitment package that include full funding of two PhD students and two postdocs.
The primary focus for this position is research on advanced machine learning techniques. This should be broadly interpreted and candidates developing statistical or mathematical methods that can be used for machine learning are encouraged to apply as long as the relevance to machine learning is stated in the research plan.
The successful applicant can request to be affiliated with the Department of Mathematics and Mathematical Statistics which has an expansive research program the mathematical foundations of artificial intelligence, including data science, the mathematics of deep learning, statistical learning with sparsity, optimization, and compressive sensing.
Your expertise should primarily be within the core areas of machine learning as e.g.:
• Data representation learning
• Explainability and interpretability of AI/ML systems
• Incremental learning, and multi-task/transfer learning
• Interaction between AI, machines, humans and society
• Learning methods for estimating robustness, stability and reliability of AI/ML systems
• Learning with non-convexity (e.g., GANs, sequential learning, reinforcement learning)
• Statistical learning
The successful candidate will have an important role in developing the area of machine learning at the department. The candidate is also expected to develop collaboration across departmental boundaries inside and outside the University and within WASP.
The position is for 5 years, of which 80 % is for research and and 20 % for pedagogical qualification/teaching. It includes a substantial recruitment package including full funding of two PhD students and two postdocs. Applicants with a background in mathematics or statistics are welcome, as well as applicants from other fields close to machine learning.
A successful applicant who requests to be affiliated with the Department of Mathematics and Mathematical Statistics will also benefit from extensive departmental support that can, for example, include extra start-up funds and co-funding of additional PhD students.
Informal enquiries are encouraged and should be directed to Professor Jun Yu (email@example.com).
For more details and instructions on how to apply, see
Umeå University focuses on creative environments for learning and work. We offer attractive education, world-class research and excellent innovation and collaboration opportunities. More than 4 300 employees and 34 000 students have already chosen Umeå University.
The Department of Mathematics and Mathematical Statistics conducts strong research and education in several complementary fields. We conduct research in Computational Mathematics, Discrete Mathematics, Mathematical Modelling and Analysis, as well as Mathematical Statistics. Our teaching activities encompass all levels and include Mathematics, Mathematical Statistics and Computational Science. We are responsible for a successful engineering program in Industrial Economics that year after years attracts many students. We also run, in collaboration with neighboring departments, two cross-disciplinary research environments, Icelab (www.org.umu.se/icelab) and UMIT Research Lab (www.org.umu.se/umit).