Kategorie: ‘Research’
Open Positions
The International Research Training Group (IRTG) „Modern Inverse Problems: From Geometry and Data to Models and Applications“ (MIP) at RWTH Aachen University offers 14 doctoral positions for a three-year structured program.
The positions are funded by the German Research Foundation (DFG) at the payscale TVL 13 (100%).
Funding is for 3 years, starting on October 1st, 2018.
The IRTG builds on a partnership between the Aachen Institute of Advanced Study in Computational Engineering Science at RWTH Aachen University, and the Institute for Computational Engineering and Sciences at The University of Texas at Austin. Because of this, long research visits at The University of Texas at Austin are planned.
– Transcripts for the Bachelor and Master’s degrees
– Excellent written and oral communication skills in English. Knowledge of German is not expected.
– statement of purpose including your research interests
– transcript(s) and certificate(s) from universities previously attended
– at least two letters of recommendation
– TOEFL score or other evidence of English skills(100%).
Please submit your application as a PDF via e-mail[nbsp]with subject “IRTG 2379 Admission” and your preferred research topic, to:admission@aices.rwth-aachen.de
RWTH Aachen University is certified as a “Family-Friendly University”. We particularly welcome and encourage applications from women, disabled persons and ethnic minority groups, recognizing they are underrepresented across RWTH Aachen University. The principles of fair and open competition apply and appointments will be made on merit.
Research Topics
1) Novel Stabilized Finite-Element Methods for Microstructured and Complex Fluids
2) Computational Tools for Chemical Imaging
3) Model-Based Generation of Linear Algebra Software
4) Modeling and Simulation of Solidification with Isogeometric Interface Tracking Methods
5) Boundary Conforming Smooth Spline Spaces for Isogeometric Analysis
6) Metric-Based Anisotropic Adaptation for Optimal Petrov-Galerkin Methods
7) Methods for Demand-Side-Management in Process and Chemical Industry
8) Constitutive Reconstruction for Evolving Surfaces
9) Numerical Reconstruction Techniques for the Boltzmann Equation
10) Model Order Reduction for Goal-Oriented Bayesian Inversion
11) Model-Controlled Bayesian Inversion for Geophysical Inverse Problems
12) A Hierarchical Framework for Bayesian Optimal Experimental Design