Interim Professorship (W2) (3 years) of Computer Science (Data Mining)

Interim Professorship (W2) (3 years) of Computer Science (Data Mining)

Institution: Faculty of Mathematics, Informatics and Statistics, Ludwig-Maximilians-Universität München

Start date: 01.04.2027

Remuneration group: BesGr W2

Duration: 3 years

Description

The Faculty of Mathematics, Informatics, and Statistics invites applications for an Interim Professorship (W2) (3 years) of Computer Science (Data Mining) commencing on April 1st, 2027.

This professorship is financed through the Thomas Bayes Fellowship program of the Munich Center for Machine Learning (MCML) for a period of three years.

Research and Teaching Activities

The professorship will research on methods for unsupervised analysis of complex and high-dimensional data (clustering, outlier and anomaly detection, subspace clustering, multi-view clustering) by using techniques of deep learning.

The teaching activities will comprise lectures on Data Mining Algorithms as well as Algorithms and Data Structures (in German) for Bachelor students, also seminars, practical courses and theses on topics from the research area.

The professorship contributes to the supervision of doctoral candidates at the Chair of Database Systems and Data Mining and to offers for junior members of MCML.

Teaching in the Bachelor program requires fluency in German.

Requirements

• University degree
• Doctoral degree or comparable specific qualification
• Excellent record in research and teaching to date
• Demonstrated potential for an outstanding academic career
• Fluency in German for teaching Bachelor program

LMU Munich seeks to appoint a highly qualified junior academic to this professorship and, therefore, especially encourages early-career scholars to apply.

Support and Equal Opportunities

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.

Application Instructions

Please submit your application comprising:

• Curriculum vitae
• Documentation of academic degrees and certificates
• List of publications

To: Dean of the Faculty of Mathematics, Informatics, and Statistics, Prof. Dr. Albrecht Schmidt, Ludwig-Maximilians-Universität München, Theresienstr. 39, 80333 München, Germany

Deadline: 11 July 2026

Submission: Please mail the application electronically to dekanat16@lmu.de as one pdf-file not larger than 10 MB.