As one of Europe’s leading research universities, Ludwig-Maximilians-Universität (LMU) in Munich is committed to the highest international standards of excellence in research and teaching. Building on its more than 500-year-long tradition, it offers a broad spectrum that covers all areas of knowledge within its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine and the natural sciences.
The Faculty of Mathematics, Informatics and Statistics invites applications for a Full Professorship (W3) of Statistics and Econometrics (Chair) commencing on October 1st, 2020.
The task of the professorship is to adequately represent econometrics as a branch of statistics, especially with a focus on data science and the analysis of massive data, in research and teaching. With regard to the teaching tasks, the aim is to ensure a committed participation in the entire spectrum of courses for students of statistics as a main or minor subject. The acquisition of third-party funding and cooperation in the Statistical Consulting Laboratory are expressly desired.
Prerequisites for this position are a university degree, a doctoral degree or a comparable specific qualification, teaching skills at university level, excellent academic achievements and a productive and promising research program.
LMU Munich makes a point of providing newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples.
LMU Munich is an equal opportunity employer. The University continues to be very successful in increasing the number of female faculty members and strongly encourages applications from female candidates. LMU Munich intends to enhance the diversity of its faculty members. Furthermore, disabled candidates with essentially equal qualifications will be given preference.
Please submit your application comprising a curriculum vitae, documentation of academic degrees and certificates, summary of teaching activities, as well as a list of publications and invited lectures, a research summary and three to five relevant publications only in electronic form as a single pdf-file, not greater as 10 MB, to the Dean of the Faculty of Mathematics, Informatics and Statistics, email@example.com, no later than 29 August 2019.