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.
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? The successful candidate must be committed to innovative
and engaging teaching in both fundamental undergraduatelevel 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.
