• At the Institute for Geometry and Applied Mathematics of the
  RWTH Aachen we are currently offering a full PhD/postdoc position
  associated with the research project "Numerical Fluid-Structure Coupling
  Schemes for High-Frequent Surface Motions". This is part of the
  interdisciplinary research group FOR 1779 "Adaptive Drag Reduction by
  Surface Oscillations" that has been recently approved by the DFG.

  The main concern of this project is the development of highly efficient
  and reliable coupling tools for the numerical simulation of the
  interaction between a turbulent flow field and a surface. In particular,
  the turbulent boundary layer is perturbed by micro-scale mechanisms,
  e.g., high-frequent oscillations, riblets, aiming at drag reduction.

  The candidates should have some background in computational fluid
  dynamics, especially in conservation laws and their discretization
  (finite volume methods, DG methods). Some familiarity, at least on a
  conceptual level with upscaling or homogenization
  techniques would be very helpful. Good programming skills in C/C++ are
  highly welcome. The primary qualification is however a sincere interest
  in learning new concepts and skills.

  The position can be filled immediately. The salary is according to TVL
  E-13. The appointment covers a period of 3 years.

  Employment equity is one of our goals. We also welcome applications from
  persons with disabilities.

  For further details, see our homepage

  http://www.igpm.rwth-aachen.de

  or contact

  Univ.-Prof. Dr. W. Dahmen (dahmen@igpm.rwth-aachen.de)
  Apl.Prof. Dr. S. Müller (mueller@igpm.rwth-aachen.de)

• At the Institute for Geometry and Practical Mathematics of the RWTH
  Aachen we are currently offering a PhD/Postdoc position. The
  salary is according to the German civil service TV-L E 13 scale. The
  candidate will be employed as a regular employee on a full time position (75\% for PhD candidates during the first year).
  The successful candidate will work within a DFG-funded research project
  on numerical techniques for the simulation of EEG- and MEG-signals
  based on the human brain. In particular adaptive finite element techniques
  are to be developed and applied for the efficient solution of forward
  and inverse problems in a real world application. This research topic is
  embedded in a DFG funded collaboration on connectivity in the human
  brain with the universities M\"unster, Ilmenau, and the Max Planck
  institute for human cognitive and brain sciences.
  A requirement for this position is a diploma or master thesis in
  numerical mathematics, computational engineering or a similar field.
  The position is to be filled as soon as possible.

  For further information, please contact
  Prof. Dr. L. Grasedyck
  Tel.: +49 (0) 241-8097069
  Email: lgr@igpm.rwth-aachen.de

  You can also obtain further information from our institute website

  http://www.igpm.rwth-aachen.de

  or from the project website

  https://www.mrt.uni-jena.de/simbio/index.php/Main_Page

  Please send your application (per email) by 04.12.2011 to
  Prof. Dr. Lars Grasedyck
  Lehr- und Forschungsgebiet Numerische Analysis
  Templergraben 55, 52056 Aachen, Germany

• At the Institute for Geometry and Practical Mathematics of the RWTH
  Aachen we are currently offering a PhD/Postdoc position. The
  salary is according to the German civil service TV-L E 13 scale. The
  candidate will be employed as a regular employee on a full time position (75\% for PhD candidates during the first year).
  The successful candidate will work within a DFG-funded research project
  on numerical techniques for high-dimensional problems. In particular
  novel hierarchical techniques will be developed that aim at solving
  partial differential equations with many (stochastic) parameters. This
  research topic is embedded in the DFG priority program 1324
  (http://www.dfg-spp1324.de).
  A requirement for this position is a diploma or master thesis in
  numerical mathematics, computational engineering or a similar field.
  The position is to be filled as soon as possible.

  For further information, please contact
  Prof. Dr. L. Grasedyck
  Tel.: +49 (0) 241-8097069
  Email: lgr@igpm.rwth-aachen.de

  You can also obtain further information from our institute website

  http://www.igpm.rwth-aachen.de

  or from the priority program website

  http://www.dfg-spp1324.de

  Please send your application (per email) by 04.12.2011 to
  Prof. Dr. Lars Grasedyck
  Lehr- und Forschungsgebiet Numerische Analysis
  Templergraben 55, 52056 Aachen, Germany

• At the Chair for Numerical Mathematics of the RWTH Aachen we are currently offering a full PhD/Postdoc position. The salary is according to the German civil service TV-L E 13 scale. The candidate will be employed as a regular employee on a full time position. The successful candidate will work within a DFG-funded research project on computational methods for treating partial differential equations on implicitly defined surfaces. The research topic is embedded in a broader research program on numerical methods for two-phase incompressible flows, cf. www.igpm.rwth-aachen.de/DROPS for more information. A requirement for this position is a diploma or master thesis in numerical mathematics, computational engineering or a similar field. The position is to be filled as soon as possible.

  For further information, please contact

  Prof. Dr. A. Reusken

  Tel.: +49 (0) 241-8097972

  Email: reusken@igpm.rwth-aachen.de

  Please send your application (per email) by 15.08.2011 to

  Prof. Dr. Arnold Reusken

  Lehrstuhl für Numerische Mathematik

  Templergraben 55, 52056 Aachen, Germany

Scholarships for students at bachelor or master level

Twenty doctoral scholarships are available for students at Bachelor as well as Diplom or Master level in the graduate school Aachen Institute for Advanced Study in Computational Engineering Science (AICES).

The Graduate School sets out to advance the computational engineering in three critical areas synthesis:
model identification and discovery supported by model-based experimentation, understanding scale interaction and scale integration, optimal design and operation of engineered systems.

More information: http://www.aices.rwth-aachen.de