[ETH Diversity] Professor or Assistant Professor (Tenure Track) of Signal Processing and Machine Learning at ETH Zurich

[Haller Annina (Prs)]

Professor / 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.

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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: www.facultyaffairs.ethz.ch 

 

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. Joël Mesot. The closing date for
applications is 15 February 2025.

 

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