Tenure track in Computational Physics (Assistant/Associate Professor or Professor), 2 positions / L

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Tenure track in Computational Physics (Assistant/Associate Professor or Professor), 2 positions / Laskennallisen fysiikan tenure track (Apulaisprofessori tai professori), 2 tehtävää

Together, Tampere University and Tampere University of Applied Sciences form a higher education community that places faith in people and scientific knowledge. Leading experts in the fields of technology, health and society are changing the world at Finland's second largest multidisciplinary higher education institution. www.tuni.fi/en

The Faculty of Engineering and Natural Sciences at Tampere University is inviting applicationsfor two tenure-track positions in computational physics.

The Computational Physics Laboratory is one of the three laboratories of thethe Physics Unit of the Faculty of Engineering and Natural Sciences (ENS). Our research combines mathematical and physical modelling, numerical simulations, data-driven methods, and high-performance computing to study materials, low-dimensional systems, quantum matter and information, statistical physics and complex systems, biophysics, and complex phenomena across multiple scales.

We address both fundamental and applied research challenges, with application areas ranging from quantum technologies and advanced materials to computational cardiology and other interdisciplinary problems at the interface of physics, engineering, and life sciences. By bridging theory, experiments, data, and computation, we develop next-generation methods that advance scientific discovery and technological innovation.

As an active member of InstituteQ, the Finnish quantum institute, we contribute to the national quantum ecosystem spanning quantum science, technologies, and innovation. Leveraging Finland's world-class computing infrastructure provided by CSC - IT Center for Science and complemented by our local Tampere Center for Scientific Computing (TCSC) facilities, we increasingly integrate machine learning and artificial intelligence into model

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Posted25 October 2026
Closes24 November 2026

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