Stellenmarkt Ein Angebot aus dem Karriere-Netzwerk von Jobbörse der ZEIT - Alle aktuellen Jobs im ZEIT Stellenmarkt

Bitte beachten Sie: Diese Stellenanzeige ist nicht mehr aktiv
Ähnliche aktuelle Stellenangebote
Researcher (f/m) in Disruptive Cybersecurity
ESMT European School of Management and Technology GmbH
Research Assistant / Postdoc (f/m) field of Classical Semiconductors
Leibniz Institute for Crystal Growth (IKZ)
Mehr Jobs anzeigen
Passende Stellenangebote per Email

Erfahren Sie es als Erster, wenn
neue Stellenangebote online sind
‐ mit dem ZEIT Stellenmarkt
Job-Newsletter Service.

Passende JOBS per Mail
Research Assistant (f/m) Machine Learning, Methods for Molecular and Material Design

Freie Universität Berlin. Berlin, 12.02.2018


Fachbereich Mathematik und Informatik - Institut für Mathematik


research assistant

full-time job, limited to March 31st, 2020 (end of project), Entgeltgruppe 13 TV-L FU
reference code: CH19_ScaleCell_2018
The research group is highly interdisciplinary, with members from physics, engineering, mathematics, computer science and chemistry. Our aim is to develop fundamental computational methods to solve hard problems in the natural sciences, in particular the molecular sciences (biophysics and theoretical chemistry). We aim at disseminating our methods in high-quality open source software. We conduct research in teams, each team has a bandwidth of theoretical, applied and software-oriented researchers and works on an overarching goal.
Job description: We are currently looking for scientists developing machine learning methods for molecular and material design. Generative models (e.g. variational autoencoders, generative adversarial nets and Markov random fields) are in principle able to address this task, but need to be significantly extended in order to successfully generate complex structures with physical constraints. This project involves work in ECMath project CH19 and WP 1.1 of ERC consolidator grant ScaleCell.
Requirements: MSc or equivalent in Physics, Computer Science, Mathematics or Engineering.
Desirable: Solid mathematical education, especially computational and numerical methods.; solid knowledge of machine learning theory and methods; extensive experience with software development with Python and a lower-level language (C / C++); experience with machine learning frameworks (e.g. Tensorflow, Theano, PyTorch etc.); publication record in peer-reviewed journals; fluent in written and spoken English.
Further information is provided by Prof. Dr. Frank Noé (
All applications quoting the reference code should be addressed no later than March 5Sth, 2018 to Ms Bettina Junkes: as one pdf or to
Freie Universität Berlin
Fachbereich Mathematik und Informatik
Institut für Mathematik
Frau Bettina Junkes
Arnimallee 14
14195 Berlin (Dahlem)
Freie Universität Berlin is an equal opportunity employer.

Bewerbungsschluss: 05.03.2018