Professorship (W2) (6 years/tenure track) of Learning Analytics in Medicine

Institution
Faculty of Medicine
Start date
as soon as possible
Application deadline
15 Jun 2022
Payment grade
W2 (6 years/tenure track)

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 Medicine invites applications for a Professorship (W2) (6 years/tenure track) of Learning Analytics in Medicine commencing as soon as possible.

The professorship will be located at the Institute of Medical Education, University Hospital of LMU Munich. Applicants are expected to represent the area of learning analytics as part of the Institute of Medical Education in research and teaching. We are looking for a nationally and internationally scientifically proven personality who will establish and structurally develop the scientific activities in the field of personalized intervention research in learning and educational processes and thus give the area a forwardlooking profile. The position entails the leadership of a scientifically active interdisciplinary team at the site. We are looking for a candidate with in-depth knowledge of the methods of learning analytics and machine learning (AI) and their application in the field of computer-based assessment of teaching, learning and problem-solving processes. Ideally, applicants have been acquired qualifications both in informatics and psychology or pedagogy. An involvement of the professorship in the activities of the Munich Center of the Learning Sciences (MCLS) is expected as well as experience in the field of empirical educational research in medical and interdisciplinary application contexts. Participation in the further development of the interdepartmental research focus on personalized learning and educational processes at LMU Munich is explicitly desired.

LMU Munich seeks to appoint a highly qualified junior academic to this professorship and, therefore, especially encourages 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.

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. This professorship is funded by the Tenure Track Programme of the German Federal Government and the Federal States.

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.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact

Please submit your application (curriculum vitae, scientific career, references, certificates, a list of publications and lectures, external funds) as well as a short application form (see http://www.med.uni-muenchen.de) to the Dean of the Faculty of Medicine, LudwigMaximilians-Universität München, Bavariaring 19, 80336 Munich, Germany, no later than June 15th, 2022.

In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our LMU Privacy Policy. By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

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