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Professorship (W3) (with a management function) Data Science Foundations
Published(121 days ago)
Deadline for applications(80 days ago)
Hamburg University of Technology (TUHH)Hamburg
With the Free and Hanseatic City of Hamburg‘s ambition to further develop the location into a knowledge metropolis, the Hamburg University of Technology (TUHH) is expanding its expertise in research and teaching. With its growth concept the TUHH aims to enhance its position as a leading interdisciplinary, innovative, and international university of technology in Germany. It aspires to consolidate and extend the characteristic that has constantly been its hallmark since its foundation: that of being a model university, an initiator and an innovation driver.
The TUHH is a modern, dynamic, internationally aligned university with high performance and quality standards. The main focus of research, teaching and technology transfer is to develop technology for people.
High-ranking research, especially in the three competence areas of Green Technologies, Life Science Technologies and Aviation and Maritime Systems, characterize the TUHH.
Along with engineering competences the TUHH links interdisciplinary research with digitization and development of new materials.
In teaching we are planning to develop new, internationally focused courses of study for engineering scientists of tomorrow. In the use of modern teaching and learning methods the TUHH continues to aspire to a leading position in high-quality teaching. Last not least, targeted promotion of technology transfer and company startups is another distinctive feature of the TUHH.
Implementation of the TUHH's growth concept is combined with a strategy that includes closer networking with scientific institutions in the Hamburg metropolitan region, the development of new, cross-disciplinary research associations, maximum excellence in basic research and strong ties with industrial partners in application-oriented research.
W 3 Professorship (with a management function)
Data Science Foundations
(Reference No.: P-18-08)
We are looking for a distinguished researcher to establish and lead the new Institute of Data Science Foundations and to represent Data Science in research and teaching at TUHH. Applicants are expected to have an excellent track record in basic research as well as a strong interest in interdisciplinary collaborations with engineering work groups at TUHH. The professorship is integrated into the federal state of Hamburg's ahoi.digital cross-university informatics platform. We particularly welcome applications from scientists with a research focus on:
Methods of machine learning and particularly statistical learning
Theory of data-efficient machine learning methods
Estimators and algorithms for multi-dimensional distributions in engineering
Methods of time-series analysis and their application to processes in engineering
Resource-efficient machine learning for embedded and cyber-physical systems
Development of mathematical methods and algorithmic implementations
The successful candidate is expected to offer courses both at the undergraduate and the graduate level in computer science and related programs of study, and to actively participate in the development of curricula offered by TUHH. The ability to teach undergraduate courses in German is a plus.
Hamburg University of Technology (TUHH) especially supports application of women.
Handicapped persons take precedence over legally non-privileged applicants of equal qualification, aptitude and professional achievement.
TUHH supports especially qualification and accomplishments in academic teaching. The legal framework of the Federal State of Germany is relevant (in Hamburg §15 of the university act of Hamburg). Applicants who have reached the age of 50 can no longer count on being accepted as civil servants.
For further information call the chancellor of TUHH, Mr. Scheunert, tel. +49 (0)40 42878-3002.
Please send your application with all relevant documents and by above-mentioned reference number till 31.01.2019 to the following address: Technische Universität Hamburg
Personalreferat – PV 32/G –