Postdoctoral Research Associate Multiscale Materials Design

Eggenstein-Leopoldshafen, Baden-Württemberg (DE)
Salary Commensurate with the German Academic Payscale E13
May 11 2018
Position Type
Full Time
Organization Type
Job Type

Research at the materials simulation group ( ) at the Institute of Nanotechnology has recently focused on the development of predictive multiscale materials design with applications of organic light emitting diodes, organic photovoltaics, molecular electronics, designer polymers, metal organic frameworks and novel 2D materials, such as graphene. The institute is a central pillar of the research program Science and Technology of Nanosystems of the Helmholtz Society and offers a stimulating multidisciplinary work environment addressing many topical problems in nanoscience and technology, both experimentally and theoretically.

You will be are responsible for the development of multi-scale simulation methods for structuring and function of organic semiconductor devices as well as for the corresponding programming and workflow development. In addition, you will work on scientific questions on individual projects such as EXTMOS and VirtMAt and support the project partners. You document the results through publications and lectures.

Personal qualification You have completed a university degree (diploma (uni)/master) in physics with a doctorate and several years of professional experience in theoretical physics and simulation methods of electronic structure and electron transport. You should also have expertise in computational, theoretical physics, or related areas and specifically molecular dynamics. We expect the ability and desire to work in a heterogeneous interdisciplinary environment, strong research skills and a history of innovation and accomplishment documented by a strong academic record. Prior involvement in the development of complex computational methods on HPC architectures and appropriate skills in software engineering using state-of-the-art object-oriented languages would be very beneficial. Experience in high-performance computing is strongly desired.

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