Clausthal University of Technology invites applications for the position of seven professorships in the field of Digital Transformation of the Circular Economy to begin as soon as possible.
Digital transformation is one of the greatest challenges facing science, economy, and society. It marks the transition from an industrial age defined by analog technologies to an age of knowledge and creativity shaped by digital technologies and digital innovations. Digitization offers the opportunity to anchor sustainability and the conservation of resources in the economy and society of tomorrow. Therefore, we want to research and develop the digital transformation of sustainable industrial processes in a transdisciplinary way at the Center for Digital Technologies (DIGIT) (https://www.digit-research.de/en). This digital transformation offers enormous opportunities, which we at Clausthal University of Technology want to actively shape and create together with you at the DIGIT research center.
Clausthal University of Technology is a research-focused university with outstanding national and international networking. The approximately 4,000 students and more than 1,200 employees enjoy short commutes, personal interaction, and the stimulating landscape of the Upper Harz region in the middle of a UNESCO World Heritage Site in the Harz Mountains. Clausthal University of Technology is the most significant economic factor and the largest employer in the region. We embody cultural diversity and internationalism. Here, science works closely with business and industry, bridging the gap between basic research and application in our strategic focus on the Circular Economy.
The Faculty of Mathematics/Computer Science and Mechanical Engineering of the Clausthal University of Technology is seeking to appoint the Position of
University Professor (Salary Scale W3 NBesO) ”Methods and Applications of Machine Learning”
at the Institute for Software and Systems Engineering as soon as possible.
We are searching an applicant with ample research and teaching experience in state-of-the art machine learning algorithms and/or their applications. The applicant is responsible for the organisation and further development of the teaching and research portfolios for machine learning, primarily for the Computer Science (B.Sc. and M.Sc.) and Digital Technologies (B.Sc. and M.Sc.) courses of study as well as for other courses of study.
The professorship will focus on innovative areas of machine learning with a high potential for innovation and third-party funding. In particular, the following scientific expertise is expected:
1. Methods and algorithms for machine learning and artificial intelligence in general
2. Design and dependability of systems employing AI-based components
The applicant should also have substantial research experience in at least one of the following areas:
3. Software and Systems Architecture of Systems with AI components
4. Patterns and Design Principles of Systems with AI components
5. Dependability of ML-enabled Systems
6. Interactive and Interpretable Machine Learning
7. Efficient Machine Learning
8. Probabilistic Modelling and Quantification of Uncertainty
9. Integration of Domain Knowledge into the Machine Learning Process
The main goal is to establish a research branch in machine learning at TU Clausthal that is strong in research and third-party funding.
Within the university, the professorship should actively contribute to the Open Cyberphysical Systems and Simulation research area and thus strengthen the digitalization-related research profile of our engineering sciences and computer science institutes. We expect the appointed applicant to become an active member of the Center for Digital Technologies (DIGIT). This includes in particular the participation in the bachelor, master and further education program of the joint study program Digital Technologies as well as the further development of this study program, which Clausthal University of Technology and the Ostfalia University of Applied Sciences offer in cooperation. In addition, the DIGIT and the associated silverLabs digitalisation laboratories offer the opportunity to actively participate in research projects. Cooperating with the Clausthal Research Center for Environmental Technologies (CUTEC) and the Simulation Science Center Clausthal-Göttingen (SWZ) is also desired.
The requirements of the position are defined in Section 25 of the Niedersachsen Higher Education Act (Niedersächsisches Hochschulgesetz NHG). In addition to a university degree in the fields of engineering and science, an excellent doctorate as well as a habilitation or comparable achievements are required.
Experience in the acquisition of third-party funded projects is expected.
The willingness to hold courses in German and English is a prerequisite. Strong commitment to teaching is expected.
The Clausthal University of Technology wishes to increase the number of its female faculty. Therefore, applications from female candidates are particularly welcome. Candidates with disabilities who are equally qualified will be given preference. Applications from international scientists are welcome; proficiency in the German language is desired for teaching and committee work.
A part-time professorship is possible upon request.
Applicants who are 50 years or older at the time the appointment commences and who do not hold already a permanent civil servant status (Beamtenverhältnis auf Lebenszeit) will be employed with employee status (Angestelltenverhältnis).
Further information is available from the Chairman of the Search Committee, Prof. Dr. Heike Schenk-Mathes, Phone: +49 (0) 5323 72-7604, Fax: +49 (0) 5323 72-7699, Email: firstname.lastname@example.org.
Applications with the usual documents must be submitted until 16.06.2020 in electronic form (one single PDF file to email@example.com) addressed to the Dean of the Faculty of Mathematics/Computer Science and Mechanical Engineering (https://www.fakultaeten.tu-clausthal.de/en/fak3/) at Clausthal University of Technology, Prof. Dr.-Ing. Volker Wesling, Leibnizstr. 6, 38678 Clausthal-Zellerfeld, Germany.
Please note our information on data protection in the application process at: