Research associate / PhD candidate Machine learning for design of chemical engineering unit operations at Helmholtz, Germany


    Website The Institute of Fluid Mechanics (ISTM) at Karlsruhe Institute of Technology (KIT)

    Job description

    The Institute of Fluid Mechanics (ISTM) at Karlsruhe Institute of Technology (KIT) seeks a highly-motivated Research Assistant / Ph.D. candidate (f/m/d) to perform cutting-edge research on mutliphase flows, with particular focus on numerical simulation of microfluidic systems such as evaporators or microreactors. The research is part of the Priority Programme „Machine Learning in Chemical Engineering“ (SPP 2331) funded by the German Research Foundation (DFG). The Priority Programme brings together the chemical engineering and machine learning communities from top German universities in order to open up new methods for chemical engineers and formulate new types of problems for involved machine learning experts, with the long-term goal to jointly generate advances for methods in both communities. In close collaboration with the Institute of Theoretical Informatics (ITI) and the Institute for Micro Process Engineering (IMVT) it is planned to advance Chemical Engineering, in particular the design of unit operations, leveraging the capabilities of novel machine learning tools and state-of-the-art simulations. For this purpose, a new CFD-code based on the OpenFOAM framework will have to be developed for simulations of various microfluidic systems such as heat-exchangers, microevaporators and microreactors with possibilities of geometry modification. The simulations generate the main dataset for data-driven geometry optimization with machine-learning algorithms developed at ITI, after which the optimal designs will be experimentally tested using metal 3D-printer fabrication at the IMVT facilities.

    You will publish and present the results of your work in international journals and at international conferences. You are also expected to support the team of ISTM in teaching activities and co-supervise student theses in your research field. We offer a friendly and supportive working environment within a dedicated and highly qualified scientific team.

    Personal qualification

    This position is available either as a Research Associate (f/m/d) (in which case you must already hold a PhD) or as a PhD Candidate (f/m/d) (you must have a master’s degree in engineering, physics or applied mathematics). Proven knowledge in programming (C/C++), high-performance computing and in the development and application of OpenFOAM solvers for computational fluid dynamics are required. Experience in modeling of multiphase flows, reactors and phase change is desired. Besides the professional qualification, strong commitment, independent and self-responsible working style including fluent verbal and written English skill is expected. Experience with experimental validation is an advantage.


    The remuneration occurs on the basis of the wage agreement of the civil service in TV-L E13, depending on the fulfillment of professional and personal requirements.

     we offer

    Organizational unit

    Institute of Fluid Mechanics (ISTM)

    Starting date

    as soon as possible

    Contract duration

    limited to 36 months

    Application up to

    October 15, 2021

    Contact person in line-management

    For further information, please contact Dr.-Ing. Alexander Stroh, E-Mail: [email protected].


    Please send your application including a motivation letter, curriculum vitae, transcripts of grades and contact information for at least one academic reference as a single PDF file to Dr.-Ing. Alexander Stroh, E-Mail: [email protected].

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