Professorship (W2) of Statistics, focussing on Social Surveys and Labour Market Research

Munich, Bayern (DE)
06 Dec 2018
End of advertisement period
18 Jan 2019
Contract Type
Fixed Term
Full Time

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 Institute for Employment Research (IAB) conducts research on the labour market in order to advise political actors at all levels in a competent manner. Economists, sociologists and researchers from other social science and methodological disciplines create the base for empirically well-informed labour market policy by way of excellently linked research, both nationally and internationally.

The Faculty of Mathematics, Informatics and Statistics and the Institute for Employment Research (IAB) Nürnberg invite applications for a

Professorship (W2) (6 years/tenure track) of Statistics, focussing on Social Surveys and Labour Market Research

commencing as soon as possible.

The professorship represents the field of social surveys and labour market research in research and teaching.

Intensive research and the development of cooperative research projects are expected. Teaching duties lie in the entire spectrum of bachelor and master programs in statistics. At IAB, the main task of the holder of the position is to ensure the quality of IAB surveys, with a special focus on the conception and implementation of surveys.

LMU Munich and IAB Nürnberg seek to appoint a highly qualified junior academic to this professorship and, therefore, especially encourage early-career scholars to apply. Prerequisites for this position are a university degree and a doctoral degree or a comparable specific qualification. With an excellent record in research and teaching to date, prospective candidates will have demonstrated the potential for an outstanding academic career. National and international research networks, experience in the management of research projects and the acquisition of third-party-funding as well as communication and leadership skills are essential for this position.

The appointment will take place within the framework of a cooperation agreement between LMU and IAB: The future holder of this position will be appointed to LMU Munich as a university professor (paygrade W2) under the terms of a private law contract. He or she will be granted leave of absence in order to be employed at IAB as head of a service group ´Data Collection and Integration of Data` in the department ´Statistical Methods` (KEM) and the deputy head of the department. The paygrade at IAB will be according to TE I (TV-BA) with a supplementary allowance.

The initial appointment will be for six years. After a minimum of three years, it can be converted into a permanent position pending a positive evaluation of the candidate’s performance in research and teaching as well as his or her personal aptitude and if all legal conditions are met. The place of work will be Nuremberg.

LMU Munich and IAB Nürnberg make a point of providing newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples.

LMU Munich and IAB Nürnberg are equal opportunity employers. Both continue to be very successful in increasing the number of female faculty members and strongly encourage applications from female candidates.

LMU Munich and IAB Nürnberg intend to enhance the diversity of 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, 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,, no later than January 18, 2019.