Full Professorship (W2) in Data-Driven Methods in Visual Computing
RWTH Aachen University
Please send a cover letter stating research aims and a CV to: Dekan der Fakultät für Mathematik, Informatik und Naturwissenschaften der RWTH Aachen University, Univ.-Prof. Dr. Carsten Honerkamp, 52056 Aachen.
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The deadline for applications is November 1, 2021.
This position is also available as part-time employment per request.
We welcome applications from all suitably qualified candidates regardless of gender. RWTH Aachen University is certified as a family-friendly university and offers a dual career program for partner hiring. We particularly welcome and encourage applications from women, disabled people and ethnic minority groups, recognizing they are underrepresented across RWTH Aachen University. The principles of fair and open competition apply and appointments will be made on merit.
RWTH Aachen University is one of Germany’s pre-eminent Universities of Excellence, which entails the highest quality in teaching and world-class research. RWTH addresses bold, scientific questions; it also assumes a profound responsibility toward society and transfers its knowledge into meaningful applications. RWTH strives for the convergence of knowledge, methods, and findings from its research fields and integrates in-depth disciplinary knowledge into interdisciplinary research consortia represented as profile areas. The university’s dynamic, creative, and international environment encompasses efficient research networks, institutionalized cooperations, and, most of all, the innovative RWTH Campus-Project which harbors one of the most extensive technology-oriented research landscapes in Europe.
Full Professor (W2) in Data-Driven Methods in Visual Computing Faculty of Mathematics, Computer Science and Natural Sciences
We are seeking qualified applicants for teaching and research in the area of Visual Computing. The starting date is at the earliest possible date. The candidate should have expertise in one or several sub-areas of Visual Computing (i.e. the computational handling of image-, video-, or geometry-data in 2D and 3D), thereby developing and applying modern data-driven methods (e.g. data analysis, deep learning), ideally in combination with current methods in Visual Computing.
A doctoral degree is required; additionally, Habilitation (post-doctoral lecturing qualification), an exemplary record of research achievement as an assistant/an associate/a junior professor or university researcher and/or an outstanding career outside academia are highly desirable. Ability in and commitment to teaching are essential. The application should include supporting documents regarding success in teaching. German is not necessary to begin but will be expected as a teaching language within the first 5 years.
The candidate is expected to be able and willing to collaborate with colleagues in the Computer Science Department, as well as other departments of the faculty, other faculties and profile areas of RWTH Aachen University. Participation in academic self administration is expected. For content-related questions, Prof. Dr. Leif Kobbelt may be contacted.