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PhD Student/ Research Assistant (f/m/d) Research Training Group Computational Nanoscience


Institut für Physikalische Chemie (IPC)


The graduate school ‘Tailored Scale-Bridging Approaches to Computational Nanoscience’ (DFG RTG 2450) addresses the development and application of multi-scale approaches to the scientific challenges of friction, materials aging, material design and biological function. In detail, the specific projects will focus on the problems of friction between inorganic and biological materials, reactions on semiconductor surfaces, problems of electron and exciton migration in organic electronics, and biochemical reactions in proteins undergoing large structural changes. These problems involve a multitude of different length- and timescales, therefore, methods of ab initio quantum chemistry, force field and coarse-grained approaches up to phenomenological approaches will be combined. These complex multiscale frameworks will utilize workflow engineering on high-performance computing architectures.


October 2022

Persönliche Qualifikation

We are seeking PhD students with strong backgrounds in physical/theoretical chemistry, computational physics/chemistry, computational materials science, applied mathematics or related areas. The PhD students will work in teams on one of the mentioned projects covering a variety of computational tools necessary to tackle the involved length- and timescales.


The remuneration occurs on the basis of the wage agreement of the civil service in TV-L E13, depending on the fulfillment of professional and personal requirements.

Contract duration

limited for 3 years

Application up to

September 2, 2022

Contact person in line-management

For further information, please contact Prof. Dr. Marcus Elstner, email: and see:


Please send your application including a cover letter, your CV, and all certificates/referees in electronic form to:

vacancy number: 2156/2022

We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.

Recognized severely disabled persons will be preferred if they are equally qualified.