PhD position in structure-preserving scientific machine learning for port-Hamiltonian ODEs and DAEsFull PhD

Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD candidate that supports us in developing Gaussian processes based models with structure preservation in port-Hamiltonian systems.

A PhD position is currently available in the Collaborative Research Center 1701 "Port-Hamiltonian Systems" at University of Wuppertal, Germany. Details on the CRC 1701 and the position can be found here: https://phi.uni-wuppertal.de/en/port-hamiltonian-institute/crc-1701/

The underlying project is under supervision of Prof. Dr. Peter Zaspel and Prof. Dr. Michael Günther. The team of Prof. Peter Zaspel is located at Bergische Universität Wuppertal. The international team focuses on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in the research group on Scientific Computing and High Performance Computing. For more details, see https://www.peter-zaspel.de/ and https://hpc.uni-wuppertal.de . Prof. Dr. Michael Günther is professor in the Applied and Computational Mathematics group. His research focuses on time integration methods for all types of (coupled) dynamical systems, with a focus on port-Hamiltonian ODEs, DAEs and PDEs with applications ranging from Computational Physics, Computational Finance to Computational Electronics. For more details see https://acm.uni-wuppertal.de/en/ .

A successful applicant is expected to have a Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C++ is expected. A good command of English is essential, both as the local working language and because of international collaborations. We look for a competent personality with initiative and commitment, who has the ability to work independently and in collaborations.

We offer a 3 year PhD position. The salary will be paid in accordance with the collective agreement for the public service of the German Länder (Tarifvertrag des öffentlichen Dienstes der Länder, TV-L), with salary level 13 (75%). The place of employment will be Wuppertal, Germany.

The position is available immediately. The call for applications is open until July 15, 2025. For further information and in order to apply, please visit the online jobs portal https://stellenausschreibungen.uni-wuppertal.de . There, you will find the official job description and the link for submitting the application material under reference number 25063. If you have questions on the submission process or have questions on the position please contact Prof. Peter Zaspel via zaspel(at)uni-wuppertal.de.

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