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Professorship (W2) "Uncertainty, Inverse Modeling and Machine Learning"
Published(45 days ago)
Deadline for applications(12 days ago)
Technische Universität BerlinBerlin
Technische Universität Berlin, Faculty IV - Electrical Engineering and Computer Science, Institute of Software Engineering and Theoretical Computer Science, and the PTB
(National Metrology Institute) jointly invite applications for a 5-year position of a
University Professor – salary grade W2
in the field of "Uncertainty, Inverse Modeling and Machine Learning".
PTB is the National Metrology Institute of Germany with scientific and technical service tasks and supports society, industry, and science. The aim of the new professorship is to
strengthen research in "biosignals, imaging and data analysis research" at the division of medical physics and metrological IT at PTB in close collaboration with TU Berlin.
Reference number: IV-550/19 (starting at the earliest possible / for a period of 5 years / closing date for applications 15/01/20)
Research in the field of "uncertainty, inverse modelling and machine learning" for the development and
assessment of novel algorithms with applications in biomedicine, physics and/or metrology. Teaching responsibilities will
focus primarily on courses in Electrical Engineering, Computer Engineering, Computer Science and/or Mathematics. The
professorship will collaborate with the TU through the Berlin Centre for Machine Learning (Prof. Müller) funded by the
Ministry of Education and Research (BMBF). Head of the department at the TU Berlin as well as lead of the work group
"Machine Learning" at PTB.
Candidates must fulfill the requirements for appointment at the professor level in compliance with § 100
BerlHG (Berlin Higher Education Act), including a finished academic education in Computer Science, Electrical Engineering,
Physics, Mathematics or similar fields, qualified achievements in research (PhD), post-doctoral lecture qualification
(Habilitation) or equivalent qualification (e.g. documented by the quality of scientific papers) and pedagogical didactic
qualifications, documented in a teaching portfolio (for more information see TUB website, quick access no.
Internationally acknowledged excellent research in machine learning, inverse modelling and uncertainty quantification with applications preferable in biosignals and imaging (e.g. EEG, MEG, ECG, MRT, CT). In particular, expertise is expected in the following areas:
machine learning algorithms (e.g. deep learning, kernel methods, reinforcement learning, dimensionality reduction) and their applications
influence of data uncertainty on machine learning algorithms
explainability of machine learning
solving inverse problems with machine learning
simulations for assessment of machine learning methods
Third-party research funding is expected. The willingness to offer teaching in German as well as in English language is
also a prerequisite. Very good English language skills are required. The willingness to learn German is expected from
Non-German speaking applicants.
Technische Universität Berlin is determined to increase the proportion of women in research and teaching and therefore
strongly encourages qualified female researchers to apply. Qualified individuals with disabilities will be favored. The TU
Berlin values the diversity of its members and is committed to the goals of equal opportunities.
Technische Universität Berlin is a certified family-friendly higher education institution, and our Dual Career Service offers assistance to you and your family when relocating to Berlin. Applications from abroad are explicitly welcome.
Please send your written application by 15th January, 2020 indicating the reference number IV-550/19 and including
the appropriate documentation (CV listing publications etc., copies of academic degrees, as well as copies of up to five
selected publications, teaching portfolio and draft of prospective teaching and research projects) preferably by e-mail as
PDF to email@example.com. Alternatively, applications may be submitted in writing together with a digital
version to Technische Universität Berlin – Der Präsident –, Dekan der Fakultät IV, Prof. Dr. Rolf
Niedermeier, Sekr. MAR 6-1, Marchstraße 23, 10587 Berlin.
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