Open Topic Tenure Track Professorship in the field of Data Science (W1 / Assistant Professor)
The Faculty of Sciences at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an
Open Topic Tenure Track Professorship in the field of Data Science (W 1 / Assistant Professor)
at the newly founded Department of Data Science within the context of the High-Tech Agenda Bavaria. The position is to be filled by the earliest possible starting date for an initial period of three years. Upon successful evaluation, the appointment will be extended for another three years. FAU offers the long-term perspective of a permanent appointment to a W 2 professorship if the requirements of the tenure evaluation are met.
We seek to appoint a top early career scientist who will develop outstanding expertise in the field. The ideal candidate is an outstanding, highly visible early career scientist with an independent research and teaching profile in the fundamentals of data science, for example, 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, or statistical manifolds. 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 and machine learning with challenging applications in the science and humanities with agile teams focusing on future-oriented, interdisciplinary research topics.
The professor 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 to offer academic events for students in other disciplines. Successful candidates demonstrate initial academic achievements and the capacity for independent research at the highest international standards. You have substantial research experience abroad and/or 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 also prerequisites. Candidates who are able and willing to teach in both English and German are desired.
FAU expects applicants to become actively involved in administering academic affairs and in developing strategic initiatives. FAU pursues a policy of intense student mentoring and therefore expects its teaching staff to be present during lecture periods.
FAU offers career development, mentoring and an attractive initial research budget. Based on international standards and transparent performance agreements, FAU ensures a fair tenure track evaluation process.
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.
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 https://berufungen.fau.de by 15 October 2021, addressed to the Dean of the Faculty of Sciences. Please contact firstname.lastname@example.org with any questions.