23 Feb 2024
Job Information
- Organisation/Company
University of Duisburg-Essen- Department
Faculty of Engineering- Research Field
Engineering » Civil engineering
Engineering » Mechanical engineering
Mathematics » Applied mathematics- Researcher Profile
First Stage Researcher (R1)- Country
Germany- Application Deadline
21 Mar 2024 - 00:00 (Europe/Berlin)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
39.83- Offer Starting Date
1 May 2024- Is the job funded through the EU Research Framework Programme?
H2020 / ERC- Reference Number
101040238- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
At the Campus Essen, Faculty for Engineering, Institute of Engineering Mathematics, the University of Duisburg-Essen (UDE) is looking for
2 Research Associates (m/f/d)
(German pay grade E13 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.
The aim of the first PhD project is to establish a novel computation methodology for the effective properties of a random heterogeneous material based on so-called microstructure-uncertainty quantifying volume elements (µQVE) which permits to quantify the direction-dependent uncertainty of the effective properties and enables a transfer to component scale. The methodology should be applicable to digital volume images and synthetic microstructures.
Micromechanics solvers need to balance accuracy (of resolving the microstructure) and efficiency (via solution time). The currently most successful strategy operates on regular grids and exploits fully integrated FFT-based solvers [34]. However, even medium accuracy requires a high number of unknowns. To take the next step, it is required to extend the accuracy of FFT-based solvers while preserving their efficiency. The aim of the second PhD project is to establish a novel FFT-based solver with higher-order accuracy.
Requirements
- Research Field
- All
- Education Level
- Master Degree or equivalent
Skills/Qualifications
Your main tasks
- working on a scientific topic in the field of multi-scale mechanics.
- readiness and ability to complete a PhD thesis.
- theoretical and/or applied work.
- coding in Python/Cython to different degrees, depending on thesis topic.
- 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.
Specific Requirements
Your profile
- a higher-than-average university diploma or master’s degree in engineering or natural sciences, applied mathematics or related fields (8 semesters standard period time of study).
- strong background in continuum mechanics, material modeling or numerical methods.
- willingness to develop 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.
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Benefits
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.
- Website for additional job details
https://www.uni-due.de/karriere/stelle.php?kennziffer=111-24
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Universität Duisburg-Essen
- Country
- Germany
- City
- Essen
- Postal Code
- 45141
- Street
- Universitätsstraße 2
- Geofield
Where to apply
[email protected]
Contact
- City
Essen- Website
https://www.uni-due.de/ingmath/en.php- Street
Universitätsstraße 2- Postal Code
45141
STATUS: EXPIRED
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