Scientific Researcher in Theoretical Physics (f/m/d, Nr. 117-26) | |
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Jetzt Teil der Universität werden / Become part of usLocationDuisburgApplication areaFaculty of Physics, Theoretical Physics Scientific Researcher in Theoretical Physics (f/m/d, Nr. 117-26)salary group 13 TV-L We are seeking PhD candidate(s) to join a newly established research group and develop a multiscale Virtual Material Design (VMD) pipeline for neuromorphic spintronics based on topological spin textures (TST) -- e.g. 2D skyrmions and 3D hopfions. TSTs combine topological stability, nanoscale size and fast nonlinear dynamics, making them promising building blocks for spintronic neurons, synapses and reservoir-computing elements. This project will systematically scan targeted quantum-material families where relativistic effects and competing magnetic interactions favour TST formation (magnetic 2D materials such as VSe2, ternary rare-earth intermetallics like GdFe2Si2, and magnetic Weyl semimetals). Work is computationally driven and focuses on linking quantum calculations to reduced, physics-aware spin models so that materials can be ranked and engineered for device-relevant properties such as thermal stability, controlled stochasticity, switching dynamics and compatibility with neuromorphic architectures. Start of employmentas soon as possibleDuration of employment4 yearsWorking time29 h 52 min (75%)Your main tasksThe goal is to build and validate an automated multiscale workflow that maps first-principles electronic-structure data onto predictive atomistic spin-Hamiltonians and device-scale dynamical models. The candidate will run high-throughput, relativistic DFT calculations using all-electron codes (juKKR, FLEUR) on HPC platforms, manage and store data with AiiDA, and extract magnetic interaction parameters for coarse-grained spin models. To replace ad-hoc fitting, we will apply machine learning -- in particular physics-constrained symbolic regression -- to discover compact analytical spin-Hamiltonians and their parameter dependencies. These Hamiltonians will feed large-scale atomistic spin simulations to evaluate energetics, thermal stability, non-linear dynamics and stochastic response, and to propose materials engineering routes (composition, doping or strain) that optimise TST properties for neuromorphic computing. The outcome is a validated VMD pipeline that identifies candidate materials and provides concrete, model-based prescriptions for tuning their behaviour for spintronic neurons, synapses and reservoir computing.The duties include teaching obligations amounting to 3 hours per week. As part of the position, opportunities for further scientific qualification are offered. Your profile
We offer you
Application deadline2026-04-15Code number117-26ApplicationPlease send your application, quoting the reference number 117-26 to Dr. Juba Bouaziz, e-Mail: j.bouazizfz-juelich.deYour application should contain:
Information about the jobYou can find information about the faculty at:?url=https%3A%2F%2Fwww.uni-due.de%2Fphysik%2Findex_en.php&module=jobs&id=213004" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.uni-due.de%2Fphysik%2Findex_en.php&module=jobs&id=213004" target="_blank" rel="nofollow">https://www.uni-due.de/physik/index_en.php Open mindedWe are a young, innovative university located in the heart of the Ruhr metropolis. We pride ourselves in outstanding research and teaching, think in terms of opportunities rather than limitations and develop ideas with a view to the future. Diversity is an integral part of our culture as we promote potential and are committed to upholding genuine equity in education.Learn moreUniversity of Duisburg-Essen pursues the goal of promoting the diversity of its members.?url=www.uni-due.de%2Fdiversity%2Fen&module=jobs&id=213004" target="_blank" rel="nofollow">?url=www.uni-due.de%2Fdiversity%2Fen&module=jobs&id=213004" target="_blank" rel="nofollow">www.uni-due.de/diversity/en In accordance with the State Equal Opportunities Act, women with the same qualifications are given preferential consideration. Applications from suitable disabled persons and persons of equal status within the meaning of § 2 para. 3 SGB IX are desired. By applying for one of the advertised positions, you expressly agree to the requirements in accordance with the General Data Protection Regulation and to being contacted by mail. Further information on data protection can be found here . Back?url=www.uni-due.de%2Fkarriere&module=jobs&id=213004" target="_blank" rel="nofollow">?url=www.uni-due.de%2Fkarriere&module=jobs&id=213004" target="_blank" rel="nofollow">www.uni-due.de/karriere | |
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