Junior Research Group Leader in Machine Learning - Munich, Deutschland - Technische Universität München

Technische Universität München

Geprüftes Unternehmen

Munich, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Your tasks and responsibilities:

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
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.

Your qualifications:

Outstanding PhD in the area of informatics, artificial intelligence, machine learning, mathematics, statistics, data science, or physics
Outstanding track record, demonstrated by highimpact 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 more than 40 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 TUM on the Garching campus.

The position is an 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.

TUM provides diverse benefits for its employees, including support for scientists from overseas. Details can be found here.

TUM is interested in increasing the number of female faculty members and encourages women 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.

A motivation letter (12 pages)
An academic CV including Google Scholar link
A research project proposal (34 pages)
Names and contact information of two references

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