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The Chair of Theoretical physics of electrified liquid-solid interfaces at the Faculty of Physics and Astronomy is looking for a

PhD (m,f,x), for 3 years, 39.83 hours per week, TVL E13

My research aims to understand the structure, dynamics and reactivity of solid-liquid interfaces using a multiscale approach that includes ab initio and atomistic molecular dynamics simulations.

Nanoscale water confinement and transport occur in a range of natural phenomena (e.g. ion channels, lubrication) and artificial fluidic devices. Understanding recent experiments and theories on nanoscale transport, probing surprising effects such as the direct interactions between the channel walls and the hydration shells of the ions, clearly requires simulations with an atomistic resolution. The key requirement is modeling the properties of electrolytes in confinement where the interplay between liquid and confining walls, including the local chemistry is taken explicitly into account in the presence of an external electric field. In molecular dynamics (MD) simulations, the application of external fields in non-equilibrium conditions has been mainly restricted to relatively inexpensive empirical models. However, even the polarisable empirical models do not permit to include the electronic-structure reorganisation occurring in the presence of external fields and do not capture molecular dissociation. For that, non-equilibrium ab initio MD (NE-AIMD) is necessary. To overcome timescale limitations machine learning potentials (ML) trained on AIMD will be used. MD simulations using ML potentials will be used to investigate the fluid dynamics in nano-confinement (in slit and pore geometry), explicitly including electronic aspects suggested by the experiments, such as metallicity, local charges, local protonation/deprotonation. The interplay between local dielectric properties and diffusivity will be investigated as function of the ionic strength. The project will benefit of various collaborations within the FLUXIONIC network.

This PhD position is offered within FLUXIONIC, a Marie Skłodowska-Curie Doctoral Network (DN) (HORIZON-MSCA-2022-DN-01) aiming to provide integrated training for early career researchers, enabling them to achieve scientific excellence and set the foundations of their future careers.

FLUXIONIC main goal is to train young researchers for future leadership in the rapidly growing fields of nanotechnology. Controlling transport of liquid matter through channels with dimensions from Ångströms to nanometres is a fundamental scientific challenge bridging Physics, Chemistry, Materials Science, and nanoscale technologies. It has huge technological and socio-economic impact, as it is a base for vital applications such as clean water, disease treatment, sustainable production, storage and usage of energy. Explaining the anomalous transport behaviour at the sub-nano scale, where the conventional macroscopic description of transport breaks down, necessitates close integration of experiments, theory, and atomistic simulations. FLUXIONIC involves academic nodes and industrial partners in Barcelona, Paris, Berlin, Mainz, Bochum, Delft, Trondheim, Cambridge, Oxford, Manchester and Lausanne.

extent: full-time
duration: temporary
beginning: as soon as possible
application deadline:
30.09.2024

Your tasks:

  •  Preparation and execution of simulations Highthroughput
  • Analysis of the results
  • Presentation of results at FLUXIONIC DN meetings (posters or presentations) and at international conferences
  • Collaboration with other experimental groups in the FLUXIONIC DN
  • Interdisciplinary collaboration with international teams
  • Publication of results

Your profile:

  • Degree in physics, chemistry or materials science, with very good results, in condensed matter, theoretical or computational physics or chemistry, physical chemistry
  • Previous experience with computational methods, including molecular dynamics simulations or Monte Carlo techniques, and/or electronic structure methods
  • You have good knowledge of quantum mechanics and statistical mechanics. Experience with programming and/or scripting languages (e.g. Phyton)
  • You have good knowledge of quantum mechanics and statistical mechanics. Experience with programming and/or scripting languages (e.g. Phyton)
  • Fluent in written and spoken English

Our offerings:

  • Challenging and varied tasks with a high degree of personal responsibility
  • Team-orientated cooperation in a committed, international and appreciative team
  • a dynamic environment
  • integrated into the graduate school FLUXIONIC DN

Additional information:

At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. https://www.wpr.ruhr-uni-bochum.de/

If the position is funded by third-party funds the employee has no teaching obligation.

Subject to final authorisation.

German language courses are offered by the University Language Center (ZfA) in the field of German as a Foreign Language (DaF).
https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en

You can find information about TVL at: https://oeffentlicher-dienst.info/

The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.


The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.

Contact details for your application:

Prof. Dr. Marialore Sulpizi, Phone: +49234 32 23737

Travel expenses for interviews cannot be refunded.

For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.

We are looking forward to receiving your application with the specification ANR: 3710 until 30.09.2024, send by e-mail to the following address: Marialore.Sulpizi@ruhr-uni-bochum.de

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