Postdoc Position in "Big-data-enabled true analytical atomic-scale tomography"
Job Offer from January 02, 2019
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 Bewerbungskennziffer.2031. 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.