Professor or Assistant Professor (Tenure Track) of Signal Processing and Machine Learning

The Department of Information Technology and Electrical Engineering (www.ee.ethz.ch) at ETH Zurich invites applications for the above-mentioned position.

The new professor is expected to focus on fundamental research in signal processing and machine learning at large. Potential focus areas include machine-learning algorithms, signal recovery and restoration, message passing, graph signal processing, coding theory and storage, adaptive filters, array processing, remote sensing, and time-frequency analysis. Moreover, the research can extend into various applications, encompassing biomedical, image, acoustic, speech, and radar signal processing. The ideal candidate also possesses an inclination toward hardware, software, and system aspects, and establishes synergies with other research areas in the Department of Information Technology and Electrical Engineering and more broadly at ETH Zurich.

The successful candidate must be committed to innovative and engaging teaching in both fundamental undergraduate-level courses and advanced graduate-level courses in the areas of signal processing and machine learning. At ETH Zurich, undergraduate-level courses are taught in German or English, and graduate-level courses are taught in English. The ability to lead a research group is expected.

Assistant professorships have been established to promote the careers of younger scientists. ETH Zurich implements a tenure track system equivalent to that of other top international universities. The level of the appointment will depend on the successful candidate's qualifications.

ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of dual-career couples.

Please apply online for Assistant Professor (Tenure Track) of Signal Processing and Machine Learning

Please apply online for Professor of Signal Processing and Machine Learning

Applications should include a curriculum vitae, a list of publications and projects, a statement of future research and teaching interests, a description of the leadership philosophy, three key publications, a description of the three most important achievements*, and a certificate of the highest degree. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Jo?l Mesot. The closing date for applications is 15 February 2025.

* ETH Zurich emphasizes qualitative assessment of academic accomplishments. This is why you are kindly asked to submit a short description of your three most important achievements (maximum a half page each). Besides research findings, these could also be extraordinary achievements in teaching and its further development, services in the benefit of the academic community or society, software development, patents, knowledge transfer and its practical application, spin-?????off companies or similar.