Junior Research Group Leader in Machine Learning (m/f/x)

09.05.2023, Wissenschaftliches Personal

The Munich Center for Machine Learning (MCML) seeks applications for two Junior Research Group Leader positions in Machine Learning. One position will be hosted at Ludwig Maximilian University (LMU) and the other at the Technical University of Munich (TUM). The JRG position is remunerated according to the German TV-L system; it is an E15 (100%) level position. The position will run initially for three years, with a possible extension, depending on review.

The Munich Center for Machine Learning (MCML) is a joint research initiative of Ludwig Maximilian University (LMU) and Technische Universität München (TUM). It is one of six nationwide AI centers in Germany to receive permanent funding as part of the German and Bavarian government's AI strategy. Our vision is to strengthen regional, national and international competence in AI and to make the corresponding potential accessible to users from science and industry.

As a JRG group leader, you will develop an original research project in a field related to one of the three research areas of MCML: Foundations of Machine Learning; Perception, Vision, and NLP; and Domain-Specific Machine Learning. You will lead a research group for which you are expected to hire two PhD students (both TV-L E 13), who will be funded by MCML.

Required Qualifications:

• Outstanding PhD in the area of informatics, artificial intelligence, machine learning, mathematics, statistics, data science, or physics
  
• Outstanding track record, demonstrated by high-impact publications in top venues of machine learning or related fields
  
• Excellent communication skills, fluency in English (written and oral)
  
• Experience in mentoring M.Sc. or B.Sc. students / running a research team

Benefits:

You will join one of the top AI research centers in Germany and in Europe with access to an excellent network of scholars and scientists. MCML currently has 45 principal investigators working in one of our three core research areas. LMU and TUM offer high-caliber research facilities with extensive support for developing innovative and cutting-edge research projects.

The MCML funding includes the position of the PI (TV-L E15) and two PhD students (TV-L E13). Your office will be located at either LMU Munich (Faculty for Mathematics, Informatics and Statistics) or TUM on the Garching campus. The position is a TVL-E15 position in the German TV-L system (based on the tariff contracts for public service, commensurate with experience). The position is for three years, with the possibility of extension upon re-evaluation. Working hours are flexible.

Intended Start Date:1 October 2023

LMU Munich and TUM provide diverse benefits for its employees, including support for scientists from overseas. Details can be found on both the LMU and TUM websites.

Both LMU and TUM are interested in increasing female faculty members; women are encouraged to apply. This position is also possible in a part-time capacity. People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

To apply: Please apply via our application portal by 15 June 2023; the Portal closes at 23:59 CET. You will need to submit the following:

• A motivation letter (1-2 pages)
• An academic CV including Google Scholar link
• A research project proposal (3-4 pages)
• Names and contact information of two references
• Contact: Please send any inquiries to [email protected].

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: [email protected]