Vacancy Notice  279/2022

The Otto von Guericke University Magdeburg (OVGU) is an internationally oriented and regionally networked university with a strong research profile.

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The Faculty of Process and Systems Engineering and Faculty of Computer Science seeks to fill the following vacancy:

Research Assistant (PhD candidate)
in the DFG Priority Program (SPP) 2364, “Autonomous Processes in Particle Technology”



Salary Scale:
13 TV-L
Date commencing:
next possible date
Fixed term until:
3 years
Contract status:
100 %

At the Chair of Computational Intelligence of the Faculty of Computer Science (https://www.ci.ovgu.de), we work on methodologies of computational intelligence with special focus on evolutionary algorithms, multi-objective optimization, swarm intelligence and their application on engineering and robotics.

At the Chair of Mechanical Process Engineering of the Faculty of Process and Systems Engineering (http://www.mvt.ovgu.de) we are a group of enthusiastic researchers with intensive research activities in the numerical modelling of multiphase flows. As part of our research on particle-laden flows, we study the complex behaviour of dispersed particles in incompressible and compressible turbulent flows, particle-turbulence interactions, the influence of particle shape as well as applications featuring particle-laden flows.

The objective of the advertised position is to develop new control strategies for dense particle-laden flows (e.g. fluidized beds) with the help of Genetic Programming, a machine learning technique belonging to the family of Evolutionary Algorithms. In this multidisciplinary research project, you will combine simulations and small-scale experiments of dense particle-laden flows with state-of-the-art methodologies from machine learning. Your tasks will include the conduct of multiphase flow simulations, carrying out small-scale experiments, and developing and analyzing the models generated with Genetic Programming, to control the behavior of dense particle-laden flows. This project is part of the DFG Priority Program (SPP) 2364, “Autonomous Processes in Particle Technology”. The Research Assistant is expected to write a PhD thesis based on this work.

Your primary responsibilities:

  • Design, execution, and analysis of small-scale numerical studies and experiments of dense particle-laden flows
  • Development and implementation of a Evolutionary Algorithms to control the dense particle-laden flows
  • Implementation and application of the generated models to the control the behaviour of dense particle-laden flows, e.g., fluidized beds
  • Cooperation with our collaborators and researchers within the research centre and program

Your profile:

  • MSc degree or equivalent in computer science, mechanical engineering, process engineering, aerospace engineering, applied mathematics, physics or a related discipline
  • Proven track record in working with physical problems and machine learning
  • Proven coding experience in C, C++, Python, or Fortran
  • Experience in computational fluid dynamics, mathematical optimization, or machine learning is highly desirable
  • Fluent command of written and spoken English is required

For further information about the position, please contact Prof. Berend van Wachem, berend.vanwachem(at)ovgu.de or Prof. Sanaz Mostaghim, sanaz.mostaghim(at)ovgu.de by email.

In addition to all the usual social benefits of the public sector, we have more to offer, such as modern working conditions, a wide range of training and development opportunities, and a positive work environment that is highly valued by our employees. We also offer a wide range of sports and leisure activities, extensive catering in our canteens and cafeterias as well as workplace health promotion.

Otto von Guericke University is a signatory of the German Diversity Charter. We welcome your application, regardless of gender, cultural and social background, age or sexual orientation. Applications from severely disabled people or people with an equivalent impairment will be given priority in the case of equal suitability, ability and professional expertise. The Otto von Guericke University strongly promotes gender equality in all professional areas.

Please note the information for storage of personal data: https://www.uni-magdeburg.de/en/data_protection.html.

Please send your complete application (cover letter, curriculum vitae, graduation certificates, references) by September 28, 2022 (date of receipt of application) using the online application portal.



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