The Department of Data Science (DDS) at FAU Erlangen-Nürnberg invites to the open call for Four Full Professorships Open Topic (W3) in the field of Data Science.

At the newly founded Department of Data Science within the context of the High-Tech Agenda Bavaria.
Where: Department of Data Sciences at Friedrich-Alexander-Universität Erlangen-Nürnberg / University of Erlangen-Nürnberg. Cauerstr. 11 (03.315), 91058 Erlangen, Germany
Deadline for applications: November 15th, 2021
Positions available: 04

Searched Profile
The professorships are full-time and permanent positions by the earliest possible starting date.

We seek to appoint leading experts (including early career scientists) with internationally visible research and teachings  profiles in the mathematical aspects of data science, i.e:

  • statistical modelling
  • mathematical foundations of machine learning
  • modern algorithms for data science
  • numerical analysis
  • harmonic analysis
  • mathematical analysis of large data sets
  • mathematics of edge computing
  • information geometry
  • statistical manifolds

The successful candidates’ research activities should complement existing research groups at FAU, particularly in the context of Data Science. The professors will be expected to contribute to the development of the Department. The professors will also be expected to teach students in the new Bachelor’s and Master’s degree programmes in Data Science and participate in other degree programmes offered by the Department of Mathematics and the Department of Data Science, as well as offer academic events for students in other disciplines. The Department of Data Science (DDS) is in its initial phase and offers a dynamic, collaborative structure for research into the fundamentals of data science with agile teams focusing on future-oriented, interdisciplinary research topics.

Successful candidates show an excellent academic track record in research and teaching at the highest international standards. You have substantial research experience abroad and/or international cooperations as well as experience in managing research projects and in raising third-party funding. A university degree and an outstanding doctoral degree as well as a passion for education and pertinent teaching experience are prerequisites. Candidates who are able and willing to teach in both English and German are desired. The positions also require additional postdoctoral qualifications. These should be in the form of a habilitation (postdoctoral thesis) or equivalent academic qualifications. You may also have acquired these necessary qualifications in a non-university context or through a junior faculty position (for example as W1 Professor or Assistant Professor).

FAU expects applicants to demonstrate academic leadership, engage in early career development and to drive FAU’s strategic agenda. FAU pursues a policy of intense student mentoring and therefore expects its teaching staff to be present during lecture periods.

FAU offers an outstandingly productive research environment as well as a passionate and multi-disciplinary scholarly community within a vibrant institutional network.

In its pursuit of academic excellence, FAU is committed to equality of opportunity and to a proactive and inclusive approach, which supports and encourages all under-represented groups, promotes an inclusive culture and values diversity. FAU is a family-friendly employer and is also responsive to the needs of dual career couples.

Submit your application

Please submit your complete application documents (CV, list of publications, list of lectures and courses taught, research and teaching statement, copies of certificates and degrees, list of third-party funding) online at

|| Questions? More information about this position by email to the Dean of Faculty of Sciences:

See this offer at FAU



Don't miss out our posts on Math & Research!

Randomized time-splitting in linear-quadratic optimal control By Daniël Veldman   Introduction Solving an optimal control problem for a large-scale dynamical system can be computationally demanding. This problem appears in numerous applications. One example is Model Predictive Control (MPC), which requires the solution of several optimal control […]
Felix Klein: A Legacy of Innovation in Mathematics and Education By Roberto Rodríguez del Río, Complutense University of Madrid | IES San Mateo, Madrid   Felix Christian Klein lived in a period of history of science in which Mathematics were involved in a process of transformation, […]
Control of Advection-Diffusion Equations on Networks and Singular Limits By Jon Asier Bárcena-Petisco, Márcio Cavalcante, Giuseppe Maria Coclite, Nicola de Nitti and Enrique Zuazua Introduction In the past few decades, models based on partial differential equations have been very effective in tackling many problems dealing with […]
Our last Publications
[cris show="publications" persID="223281397,105092142,229344528,239343629,241149469,243434665,105514816,242263337,104776092,236754096,243266999,243266999" year="2020" type="beitrag_fachzeitschrift" sortby="updated" quotation="apa" items="5"]
© 2019-2021 Chair for Dynamics, Control and Numerics - Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg, Germany | Imprint | Contact