stillingsbetegnelse: Professor in Data Science and Complexity

jobbeskrivelse:
DTU Compute at the Technical University of Denmark invites applications for a position as professor in Data Science and Complexity. DTU Compute represents a unique combination of mathematics and computer science, including competencies in information processing in the broadest sense, and in the development of modern computer based systems. Consequently, DTU Compute is in an ideal position to utilize the synergies arising at the crossroads between IT and mathematics, and we are therefore well positioned to address the challenges of the digital society. The scientific areas of DTU Compute is home to theory, technology and engineering applications and span from fundamental research to innovative products and public sector consultancy. We drive technology and abstract engineering challenges as mathematical models enabling analysis, design, synthesis and simulations. We communicate mathematical and computational results to society at large and gain valuable insights from which new research questions emerge. DTU Compute covers basic, strategic and applied research within and between a broad range of topics, organized in eleven sections: Software Engineering, Embedded Systems Engineering, Language-Based Technology, Algorithms, Logic and Graphs, Scientific Computing, Image Analysis and Computer Graphics, Cognitive Systems, Cryptology, Mathematics, Dynamical Systems, Statistics and Data Analysis. DTU Compute has strong collaborations with other departments at DTU, and has extensive collaboration with national and international universities and industry – both concerning research projects, graduate theses, PhD projects, and research based consultancy. The professor will be attached to one of the 11 sections comprising the Department employing 400 persons including presently a faculty of 90 and approximately 140 PhD students. Responsibilities and tasks The professor will play an active role in defining, developing and profiling the future research in Data Science and Complexity at DTU Compute. This includes planning, collecting, handling, analysis and presentation of big data arising from social networks and large scale databases to physical and medical experiments, and real time monitoring. A key challenge is to use data to understand complex systems from physical and technical systems to social systems. This requires invoking one or more disciplines from the department’s research areas. To ensure the basic foundation of the research area of data science and complexity as well as its practical use for society we welcome applicants oriented toward basic science as well as application oriented research. The teaching duties of the professor encompass development of study programmes within Data Science and Complexity at bachelor, master and PhD level. The professor is expected to advance e-learning as an important pedagogical tool in higher education. The professor will be responsible for initiating and developing the collaboration with other sections as well as with industry in order to fulfil the objectives of the subject area. The professor will contribute to the development of the basic foundation of the research area as well as development of computer aided teaching within subjects relevant for Data Science and Complexity. The responsibilities and tasks include publication/scientific dissemination, knowledge-exchange with society at large, research-based teaching and educational guidance, and supervision of assistant professors. The successful candidate is expected to take a lead position in teaching at the bachelor-, master- and PhD levels. Qualifications Applicants should demonstrate the ability to combine theoretical knowledge with the development of computational methods in order to address problems arising in Data Science and Complexity. Applicants must demonstrate leading-edge research in one or more disciplines directly relevant for Data Science and Complexity. The ability to obtain research funding and form industrial colla

Arbejdsgiver Navn: Danmarks Tekniske Universitet

Arbejdsgiver telefonnummer: 45252525

Arbejdsgiver faxnummer: 45881225

Job kort beskrivelse:
Undervisning og forskning på universiteter og højere læreranstalter

land: Danmark

region: Hovedstaden

Kontrakt varighed: Fast

Kontrakttype: Fuldtid

krævede uddannelse: Ikke angivet

Kilde til jobtilbud: AMS, Offentlige arbejdsformidlinger, Danmark