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University Professorship (m/f/d) in Multi-Modal Signal Processing

University Professorship (m/f/d) in Multi-Modal Signal Processing

 

We strive for universality, diversity and interdisciplinarity. With more than 28,000 students, three Clusters of Excellence, 5,000 members of staff, over 150 institutes and an outstanding infrastructure, Leibniz University Hannover offers an innovative environment for top-level education and research in a comprehensive range of subjects.

The Faculty of Electrical Engineering and Computer Science invites applications for the following position within salary scale W2 of the Lower Saxony salary system (NBesO) with tenure track leading to salary scale W3 NBesO to be appointed at the earliest possible date: University Professorship (m/f/d) in Multi-Modal Signal Processing

The position is limited to 5 years. Following a positive evaluation, the candidate will receive a tenured professorship (salary scale W3 NBesO).

The Position

The professorship is intended to cover multimodal digital signal processing in research and teaching. The future professor must have an excellent scientific background in signal processing and coding and several of the following application areas:

  • Digital signal processing, especially on time series data
  • Information theory
  • Bioinformatics
  • Computational Biology
  • Encoding and transmission of high-dimensional data.

Leibniz University Hannover is one of the locations of the newly established Lower Saxony research center for artificial intelligence and causal methods in medicine – CAIMed. At CAIMed, international teams research and develop innovative methods at the interface between AI and personalized medicine and contribute to tackling common diseases such as cancer, cardiovascular diseases and infections.

Your Profile

An excellent research profile, active participation in teaching in computer science/information technology, e.g. in the form of lectures on "information theory" or "video coding", commitment to academic self-administration and successful acquisition of third-party funding are expected. As part of CAIMed, your active participation in projects with a medical focus (e.g. time series, omics data, digital imaging) is sought. Sound knowledge of German and English is also required.

What we can offer you

LUH offers excellent working conditions in a vibrant scientific community combined with an exceptional standard of living in a modern city surrounded by nature. In addition, LUH provides numerous opportunities for further education and training as well as many services to support families. The Dual Career Service at LUH is aimed at the partners of newly-appointed professors and provides support with career perspectives in Hannover and the surrounding region. As a central point of contact for international researchers, the Welcome Centre provides information, service and help on non-academic queries for you and your family concerning your stay in Hannover (e.g. official administrative procedures).

Leibniz University Hannover promotes equal opportunities, diversity and a balance between work and family life (Equal Opportunities Office). For this reason, female researchers are particularly encouraged to apply. Furthermore, we welcome applications from international researchers. Preference will be given to equally-qualified applicants with disabilities (Representative for employees with disabilities). Upon request, part-time employment is possible.

 

Further information

Candidates aged 50 or over at the intended time of appointment who do not already have civil servant status in Germany will be employed as regular members of staff.

General duties and employment requirements are specified in § 25 of the Lower Saxony Higher Education Act (NHG). For detailed information on employment requirements, please contact the Appointment Matters department.

Please send your application to the dean of the Faculty for Electrical Engineering and Computer Science (FEI) and submit your documents by October 15, 2024 exclusively via the appointment portal of Leibniz University Hannover at:

https://berufungen.uni-hannover.de  

For further information, please contact Prof. Rosenhahn (phone: 0511 762-5316, email: rosenhahn@tnt.uni-hannover.de).

Information on the collection of personal data according to article 13 GDPR can be found at https://www.uni-hannover.de/en/datenschutzhinweis-bewerbungen/.