Chair of Data Science employment with TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
TU Dresden is among the top universities in Germany and Europe and one of eleven German universities with the title “University of Excellence”.
The Faculty of Computer Science invites applications for the
Chair (W2/W3) of Data Science
is to be completed as soon as possible as a strategic chair at the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden/Leipzig). The position offers an excellent environment within the ScaDS.AI competence center in Dresden/Leipzig, which is funded by the Federal Ministry of Education and Research and the Free State of Saxony. This includes the possibility of interdisciplinary cooperation with computer scientists, natural scientists, mathematicians and scientists from the life sciences, medicine, environmental sciences, earth sciences and engineering. There is access to state-of-the-art technologies and an exceptional high-performance computing infrastructure. Further information on the search directions of ScaDS.AI can be found at https://www.scads.ai.
The new chair will support the field of artificial intelligence (AI) and machine learning (ML) at the university and play a central role in the ScaDS.AI center in Dresden/Leipzig. In order to bridge the gap between the effective use of Big Data, advanced AI methods and knowledge representation, a total of eight new Chairs in the fields of data analytics and artificial intelligence will be created. on both ScaDS.AI sites. This will strengthen the methodological orientation in Big Data, machine learning and artificial intelligence. At TU Dresden, fundamental research areas are to be established by four new chairs in “Data Science”, “Knowledge-Aware Artificial Intelligence”, “Scalable Software Architectures for Data Analytics” and “Machine Learning for Spatial Understanding”. In particular, it will also advance the use of AI methods in various application areas.
The data science chair will explore innovative approaches by combining data science with machine learning and artificial intelligence through new algorithms. Emphasis is placed on new methodological advances inspired by concrete applications and having a practical impact. For example, contributions specific to one or more of the following topics are expected: algorithms for data-driven modeling or simulation of complex systems; methods for inferring models from data or training models; model-free forecasting methods from data; algorithms for high-dimensional data spaces; optimization or design centering algorithms for machine learning; methods for dimensionality reduction or data integration; data interpretation methods or visual data analysis; uncertainty quantification methods; co-design of data analysis and machine learning methods; data engineering and active learning. We expect that the practical relevance of the developed methods has been successfully demonstrated in at least one of the application domains of ScaDS.AI: materials science and engineering, visual computing, environmental and transport sciences, digital human, business data intelligence, life sciences and medicine. .
You (m/f/x) will represent the subject of the call for research and teaching. The chair should play a central role in ScaDS.AI Dresden/Leipzig and integrate with the Faculty of Computer Science. Within the framework of the competence center there is close cooperation with various disciplines. The teaching obligations are reduced to two 2 hours/week for the duration of the ScaDS.AI Dresden/Leipzig, but participation in teaching is desired. This includes courses in German or English in the area of dedication for the programs of the Faculty of Computer Science. In addition, as is standard, you will teach core courses in the field of dedication and in other faculties (export education). In particular, we expect the chair to contribute to the development of the new “Data Science” course and the new “Applied AI” course of the Master’s “Computational Modeling and Simulation”. Responsibilities also include participation in academic self-administration and academic committees of the Faculty of Computer Science and Technische Universität Dresden.
You are internationally recognized in the mentioned research areas and have experience in one or more application areas relevant to ScaDS.AI Dresden/Leipzig. Particular emphasis is placed on excellent international publications as well as active participation in collaborative interdisciplinary research, as well as the independent acquisition and management of research funding. The candidate must have substantial experience in the supervision of doctoral students, proven excellent teaching skills and an habilitation or achievements equivalent to an habilitation. Applicants must fulfill the professional qualification requirements of § 58 of the Law on the Autonomy of Higher Education Institutions of the Free State of Saxony (SächsHSFG).
The president is usually appointed to a W2 post. An upgrade to a W3 position may be considered if the ScaDS.AI criteria of excellence are exceptionally met: outstanding research output, proven success in mentoring junior scientists, high international visibility, coverage of a domain broader research, and also innovative. as preferably interdisciplinary research approaches.
For any questions, please contact the Dean of the Faculty of Computer Science, Prof. Dr sc. tech. Ivo F. Sbalzarini, tel. +49 351 463-32815; E-Mail: [email protected], or the director of ScaDS.AI, Prof. Dr. rer. nat. Wolfgang E. Nagel, tel. +49 351 463-35450; Email: [email protected]
TU Dresden seeks to employ more female teachers. Therefore, we particularly encourage women to apply. Applications from candidates with disabilities or requiring additional support are welcome. The university is a certified family-friendly employer and has a dual career service. If you have any questions on this or related topics, please contact the Equal Opportunities Officer of the Faculty of Computing (Dr.-Ing. Iris Braun, +49 351 463-38063) or the representative of people with disabilities (Mr. Roberto Lemmrich, Tel.: +49 351 463-33175).
Please submit your application including the usual documents (curriculum vitae in tabular form, description of your scientific career, list of publications, list of third-party funded projects and previous teaching activities, including the results of teaching evaluations (preferably from the last three years), a concept of research (max. 3 pages), integration and teaching (max. 1 page each) as well as a certified copy of the certificate of your most recent university degree. raised by August 22, 2022 (the arrival date stamped from the university’s central mail service applies) to: TU Dresden, Dekan der Fakultät Informatik, Herrn Prof. Dr. Ivo Sbalzarini, Helmholtzstr. 10, 01069 Dresden, Germanyand in electronic form (CD, USB storage medium or via the SecureMail portal of TU Dresden, https://securemail.tu-dresden.de to [email protected]).
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further data protection information can be found on the website: https://tu-dresden.de/karriere/datenschutzhinweis.
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