Master Project: Numerical Partial Differential Equations and Scientific Computing for Bioseparation Problems
The modeling and simulation group currently develops the “Chromatography Analysis and Design Toolkit” (CADET). The core of this framework is modern solver for the so-called “General Rate Model” (GRM) of packed bed chromatography. A coupled set of partial and ordinary differential-algebraic equations is discretized in space and time using finite volumes and a BDF scheme. Parameter sensitivities are computed with arbitrary precision by solving symbolic and algorithmic parameter derivatives of the original system equations. Our code is parallelized and combined with an optimization framework for solving various inverse problems, for example parameter estimation, process optimization and experimental design.
This project aims at implementing and testing advanced numerical methods and scientific computing techniques, for example adjoint sensitivity analysis and adaptive inexact Newton methods. Moreover, we want to extend the covered model class. For these tasks we seek Master candidates with a solid background in numerical partial differential equations and programming experience. We provide an excellent working environment with relevant applications and a broad data basis, in a highly motivated and interdisciplinary team. Biotechnology knowledge is not a prerequisite and can be acquired on the job.
For further information and application please contact
Dr. Eric von Lieres
Head of Modeling and Simulation
Institute of Bio and Geosciences
52425 Jülich, Germany