Postdoc Position
Metadata and data analysis for multidimensional datasets created by Transmission Electron Microscopy

Job Offer from January 02, 2019

Project description:

The manifold techniques in the Transmission Electron Microscopy (TEM) provide imaging capabilities and spectroscopic tools to study materials and properties at the atomic level. New hardware developments steadily increase the richness of TEM datasets, which are heavily growing in size and data complexity. In particular, Scanning TEM (STEM) is a technique where a sub-Angstrom sized electron probe is rastered over the sample and besides the image, in each probe position a variety of secondary signals can be collected. These multidimensional datasets contain information on the structure of a material, its composition and the electronic structure. In combination with in situ techniques the evolution of a material can be investigated in the TEM under external stimulus and hence the temporal evolution becomes an additional parameter.

 

In the present project we are looking for a highly motivated postdoctoral researcher with a background in engineering, physics or informatics to develop new metadata structures and data formats for complex microscopy datasets. The aim is to provide data schemes that are geared for the realization of open science and data sharing in the spirit of the NOMAD encyclopedia (nomad-coe.eu). The successful candidate will also develop new data analysis routines to quantify the data efficiently.

 

Funding for the position is provided through BiGmax, a Max Planck research network on big-data driven materials science according to TVÖD E 13 (full time) for a period of minimum two years. The position is based at the Max-Planck-Institut für Eisenforschung in Düsseldorf with a strong collaboration with Prof. Claudia Draxl (HU Berlin) and Prof. Christoph Koch (HU Berlin). It is expected that the future candidate establishes a regular interaction with the groups of Prof. Draxl and Prof. Koch to quickly advance in establishing new data structures and analysis routines.

 

Ideally, the candidate holds a PhD in solid-state physics, materials science or applied informatics. A solid background in transmission electron microscopy is a plus and it is expected that the candidate brings advanced computer programming skills and experience in data handling and analysis.

 

Please send your application data, a motivation letter, CV, certificates and contact data for at least two references as a single pdf file to . We are aiming at filling the position in early 2019. We are an equal opportunity employer and women and minorities are encouraged to apply.

 

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