Contact

Dr. Leigh Stephenson
Dr. Leigh Stephenson
Deputy Group Leader

Phone: +49 211 6792 794
Dr. Markus Rampp
Deputy
Phone:+49 89 3299-1324

Max Planck Computing and Data Facility (MPCDF), Garching b. München

MP Computing & Data Facility

Stefan Bauer
Phone:+49 7071 601-1556

Max Planck Institute for Intelligent Systems, Tübingen

Max-Planck-Institute for Intelligent Systems

Postdoc Position in "Big-data-enabled true analytical atomic-scale tomography"

Job Offer from January 02, 2019

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We seek a post-doctoral researcher to play a crucial role in an interdisciplinary project where computing science methods and the associated infrastructure will be developed to support a suite of novel atomic-scale analyses aimed at solving as yet unanswered fundamental questions in material science.

In collaboration with scientists from three Max Planck Institutes, the post-doctoral researcher will address the computational challenges behind handling the enormous volumes of raw field ion microscopy (FIM) data which is augmented with time-of-flight mass-to-charge spectrometry. In support of this, they will work closely with experimentalists and theoreticians of the Max-Planck Institute for Iron Research (MPIE) in efforts to optimise data acquisition using the in-house atom probe microscopes. In collaboration with scientists of the Max-Planck Institute for Intelligent Systems (MPIIS) and the Max-Planck Computing and Data Facility (MPCDF), the post-doctoral researcher will employ contemporary computing methods and develop bespoke computationally-efficient tools to statistically infer missing chemical information and reconstruct a specimen’s surface structure with full atomic resolution. They will have the opportunity to create the world’s first chemically-resolved three dimensional reconstructions using field ion microscopy data which will provide materials science information previously inaccessible by other microscopy techniques. Throughout the course of the research project, the post-doctoral researcher will have access to MPIE’s state-of-the-art microscopy and specimen preparation facilities and the high performance supercomputing technology at MPCDF.

The position is initially available for two years and it is expected that the post-doctoral researcher will author a number of high-impact publications as well as also being active in the development of ongoing projects. It is based at the MPIE in Düsseldorf, Germany, but they will be expected to foster a strong relationship with the MPCDF in Garching and the MPIIS in Tübingen, with extended visits to these institutes. The project is funded through BiGmax, a network of the Max Planck Society aimed at exploiting the potentials of data-driven materials science. There will be a great opportunity to collaborate with other scientists and data analytics experts through this network as well as at international conferences.

Requirements: The candidate must hold a PhD in either engineering/physics or in computer science, and it would be an asset if they have some experience in both. Strong programming and mathematical skills are desirable. They must be independent with a good work ethic with a diverse array of people as it is expected that they will foster a continuing engagement between institutes.

Please send your application material, including a letter of motivation, curriculum vitae, and contact details of at least two references as one pdf file to . Salary will be based on experience according to the German TVöD. We aim to fill the position by early 2019. The Max-Planck Society is an equal opportunity employer and women and minorities are encouraged to apply.

 
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