The Max Planck Institute for Dynamics of Complex Technical Systems, research group Data-driven Modeling of Complex Physical Systems (DMP), invites applications for a Postdoc or Ph.D. position (m/f/d) on the topic of “Efficient data-driven Modeling using Koopman Operators”.
Computer simulations of large-scale dynamical systems, typically modeled by ordinary or partial differential equations, have become invaluable in many different research areas, ranging from engineering to chemistry or biology. Yet, automatic analysis and model building based on large data sets generated by these simulations poses many open algorithmic and theoretical questions.
About MPI Magdeburg
The MPI Magdeburg is a world leading center for the development and analysis of mathematical models describing complex chemical, biotechnological and energy-related processes. Presently, around 230 scientific staff members from different disciplines such as process engineering, chemistry, biology, mathematics and computer science perform research in our institute. Excellent computing facilities are available on-site, including our HPC cluster “Mechthild”. The MPI Magdeburg is a stimulating scientific environment with a broad outlook on computational and experimental research on complex dynamical systems, and offers excellent career opportunities for both its members and alumni.
About the position
The DMP group at MPI Magdeburg is an inter-disciplinary research unit addressing these questions from different perspectives. The theoretical centerpiece of our work is the Koopman operator description of dynamical systems, which leads to a linearization of a dynamical system using an infinite-dimensional feature space. On a theoretical level, we are interested in describing the convergence and approximation error of data-driven approximations to the Koopman operator. On the algorithmic level, we design efficient algorithms for the analysis or control of dynamical systems using Koopman operators. On the application end, we apply these methods to efficiently analyze large-scale simulations of molecular systems, using classical or quantum descriptions.
Your profile
We currently have several open projects in all the above areas. If you have a Master’s degree respectively Ph.D. in applied mathematics or physics, and a strong background in dynamical systems, systems and control theory, stochastic analysis, numerical analysis, or scientific machine learning, this could be just the right position for you. Physics students with a strong knowledge of mathematical modeling and numerical methods are also encouraged to apply. Proficiency in a relevant programming language is helpful. The details of the project can be determined according to your background, research interests, and career level.
Our offer
Salaries are determined in accordance with the collective bargaining agreement for the public service (E13 TVöD-Bund) including corresponding social benefits. For graduate students, this will be an E13 75% position, initially limited to 3 years. For postdocs, the position is E13 100%, initially limited to 2 years. In all cases, extensions beyond the initial term are possible.
For further information about the position, please contact Dr. Feliks Nüske nueske@mpi-magdeburg.mpg.de.
Your application
We will start reviewing applications and interviewing candidates as applications come in, applications are still encouraged as long as this advertisement is open. Please send your application (subject: DMP_2023_fullname) as one single pdf-document including a motivation letter, curriculum vitae, certificates, and an academic reference letter, by e-mail to sek-csc@mpi-magdeburg.mpg.de.
Please note the information regarding the storage of personal data.
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