IAS-1 – Quanten-Theorie der Materialien
Area of research:
The PhD project will be structured into three different work packages envisaging to last for about a year each:
The construction of linear regression models to describe available DFT data for critical temperatures of magnetic Heusler alloys. Expanding the property as well as the materials space included in the dataset to search for materials hosting 10 nm skyrmions at room temperature. Utilizing the model developed to predict possible new materials to be investigated using DFT calculations and a corresponding feedback to the model should be constructed to use the machine learned models in materials screening situations.
M.Sc. in physics, simulation science, materials science or a related field High motivation to venture into the field of data science and develop state-of-the-art software for challenging applications in the field of big-data analytics with machine learning techniques and materials informatics Interests in the design of new materials in the combination of multiple disciplines: Physical science, materials science, computer science and applied mathematics. Programming experience (Fortran, Python, C and/or C++) is highly advantageous and should be de-scribed in the motivation letter in detail Knowledge of Linux/Unix and some background in DFT and/or data analysis Excellent communication skills in English are mandatory: TOEFL or equivalent evidence of English-speaking skills A high level of scholarship as indicated, for example, by bachelor and master study transcripts and two reference letters Outstanding organizational skills and the ability to work independently Very good cooperation and communication skills and ability to work as part of a team
Unique HDS-LEE graduate school program A highly motivated group as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments Outstanding scientific and technical infrastructure – ideal conditions for successfully completing a doctoral degree Chance of participating in (international) conferences Continuous scientific mentoring by your scientific advisor Doctoral degree conferred by RWTH Aachen University Further development of your personal strengths, e.g. via a comprehensive further training programme Pay in line with 100 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) A contract for the duration of 3 years
Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women.We also welcome applications from disabled persons.