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Fachbereich Mathematik und Informatik - Institut für Mathematik

Head of BIFOLD junior research group (m/f/d) fulltime job limited to 31.12.2022 Entgeltgruppe 15 TV-L FU reference code: BIFOLD_NWG_1

Bewerbungsende: 06.07.2020

With BIFOLD, a cross-institutional and cross-disciplinary competence centre is being created, where scientists want to research and further develop new approaches in the fields of Big Data (BD) and Machine Learning (ML) and Artificial Intelligence (AI). BIFOLD supports independent junior research groups in application-oriented basic research in mathematics and computer science in order to specifically promote excellent young scientists* with several years of postdoctoral experience and to give them a head start in building up their own research profile and group in the supporting environment of a large competence center.

Job description:

The offered position is one of the leading positions of a BIFOLD junior research group at the FU Berlin. We are looking for a candidate with extensive experience and independent research results in the field of machine learning, especially in ML for the sciences. She or he must be able to demonstrate internationally visible theoretical research results and applications to real complex systems and to build bridges into possible fields of application. She or he has experience in the scientific orientation, acquisition and/or implementation of third-party funded projects.

Requirements:
Dissertation in Mathematics, Physics, Computer Science or related disciplines.

Desirable:
• Experience in theory or method development in Machine Learning, especially at the interface between ML and the sciences.
• Experience in handling complex real world data sets
• Application experience in natural or social sciences
• Experience in interdisciplinary cooperation
• Excellent written and spoken English

Further information are available from Prof. Frank Noé (frank.noe@fu-berlin.de / 030 838 75354).

Weitere Informationen

All applications quoting the reference code should be directed preferably electronically in one PDF-file to Bettina Junkes: bettina.junkes@fu-berlin.de

On the given occasion and for the duration of the essential on-site operations by Freie Universität Berlin, we kindly ask you to apply electronically by e-mail. The processing of a postal application cannot be guaranteed.

Freie Universität Berlin

Fachbereich Mathematik und Informatik

Institut für Mathematik

Frau Bettina Junkes

Arnimallee 14

14195 Berlin (Dahlem)

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Stellenauschreibung vom: 14.06.2020