Location

Campus Essen

Application area

Faculty for Engineering, Institute of Engineering Mathematics

2 Post-doctoral Researchers (m/f/d, no. 113-24)
EG 14 TV-L

At the Campus Essen, Faculty for Engineering, Institute of Engineering Mathematics, the University of Duisburg-Essen (UDE) is looking for

2 Post-doctoral Researchers (m/f/d)
(German pay grade E14 TV-L for 1,0 FTE)

within the Starting Grant „Beyond Representative Volume Elements for Random Heterogeneous Materials“ (BeyondRVE) funded by the European Research Council (ERC).

The ERC StG BeyondRVE focuses on novel simulation technology for computing the material behavior of materials with a random microstructure. The goal is to build up a groundbreaking multiscale methodology, taking into account the latest neural-network technology and screening the spurious boundary layers which arise for digital volume images of microstructures. Upon completion of the project, a significant boost for the nonlinear mechanics of heterogeneous materials and lightweight design is expected, providing multiscale methods with more expressive results in shorter time for larger classes of materials with higher complexity.

For non-periodic microstructures or when working with non-periodic boundary conditions for the displacement, boundary-layer effects pollute the computed effective properties of random heterogeneous materials. Only low accuracy can be reached, unless gigantic cells are considered.

The aim of the first Post-Doc project is to establish a novel computation methodology to mitigate these problems by screening boundary-layer effects appropriately.

Usually, only the expected mechanical response of a random material is computed in multiscale methods of mechanics. Within the BeyondRVE projects, higher-order statistical quantities will be computed as part of the computational strategy and made available on a macroscopic scale.

The aim of the second Post-Doc project is to establish a novel technology to quantify the microstructure-induced uncertainty using the framework of Deep Material Networks or an extension thereof.

Start of employment

as soon as possible

Duration of employment

30.06.2027 (end of project)

Working time

39 h 50 min (100% of a full-time position, part-time employment is possible)

Your main tasks

• Cutting-edge research in computational micromechanics, in particular solution methods based on the Fast Fourier Transform (FFT), or multi-scale modeling of engineering materials like fiber composites, foams, polycristalline materials
• extend Deep Material Networks to uncertainty quantification
• simulation studies for a variety of random materials, including fiber structures, foams and polycrystalline materials
• analysis, interpretation and assessment of simulation results
• discussion of results within an international research team
• writing and submitting of scientific publications in quality peer-reviewed journals
• presentation of research results at national and international conferences

Your profile

• PhD in engineering or natural sciences, applied mathematics or related fields.
• strong background in continuum mechanics, material modeling or numerical methods.
• excellent coding skills in Python and C/C++.
• an aptitude for theoretical and computationally oriented research.
• good team-working and communication skills.
• excellent English skills, both written and spoken.

We offer you

• a varied, multifaceted area of responsibility in a lively research-intensive environment.
• further training opportunities and career support within the framework of the university.
• a non-discriminatory working environment with respectful, appreciative cooperation.
• a pleasant working atmosphere in a dynamic team.
• family-friendliness through care for your children and advice on your care tasks.
• a wide range of further education and training opportunities, individual induction.
• a very good public transport connection and free parking.
• attractive sports and health offers (university sports).
• flexible working hours and the option of working from home.

Application deadline

2024-03-21

Code number

113-24

Application

Unfortunately, the application deadline for this position has passed.

Information about the job

For more informationen about the faculty and the position, please visit:

https://www.uni-due.de/ingmath/en.php