Erstellt am 9. Juni 2026
Research Associate / Doctoral Candidate (m/f/d) "Model Predictive Control and Digital Twin for Filtration Processes"
Technische Universität München
München, Bavaria 80333, Germany
Vollzeit
Reference: 1923801630
Research Associate / Doctoral Candidate (m/f/d) "Model Predictive Control and Digital Twin for Filtration Processes"
08.06.2026, Academic staff
The Chair of Process Systems Engineering at the Technical University of Munich (Freising campus, School of Life Sciences) is seeking a research associate / doctoral candidate (m/f/d) for the "Development of a digi-tal twin and model predictive control for filtration processes".
Project
Join a research initiative in the field of Industry 4.0 and cyber-physical systems. The aim of the project is to develop a digital twin for precoat filtration processes and to use it within a model predictive control framework. Precoat filtration is an industrially established separation process in which, in particular, the optimal dosing of filter aids and the prediction of process behavior are still not yet sufficiently understood. The project will develop a mechanistic model that uses real-time data to describe future process behavior and make it usable for optimized process operation. The focus is on the modeling, numerical implementation, and control-oriented use of this digital twin. This includes the development of efficient simulation methods, the integration of measurement data for state reconstruction, and the implementation of model predictive control strategies with regard to operating costs, energy consumption, and product quality. The work will be carried out in close cooperation with an experimentally oriented partner research group and will combine methodological research with industrially relevant applications.
Your Profile
You have completed an above-average Master's degree in process engineering, chemical engineering, mechanical engineering, technical mathematics, or a related field. We expect knowledge of mathematical modeling, numerical simulation, or control engineering, as well as programming experience, for example in Matlab or Python. Initial experience with partial differential equations, optimization methods, or model-based control concepts is an advantage. You work independently and analytically and are interested in interdisciplinary research at the interface of modeling, data integration, and process control.
Our Offer
The position is available at the earliest possible date and is suitable for pursuing a doctorate. You will work in a scientifically demanding yet application-oriented research environment with a close connection to current questions of digitalization in process engineering. You can expect a diverse research project at the interface of modeling, data integration, and control, as well as collaboration with an experimentally oriented partner research group and strong industrial relevance. Applicants with severe disabilities will be given preference in cases of otherwise essentially equal suitability, ability, and professional performance. TUM aims to increase the proportion of women and therefore expressly encourages qualified women to apply.
Application
If you are interested in this position, we look forward to receiving your application at [email protected]. If you have any questions, please feel free to contact:
Technische Universität München
Chair of Process Systems Engineering
Prof. Dr.-Ing. Heiko Briesen
Gregor-Mendel-Straße 4, 85354 Freising
Tel. +49 8161 71-3271
[email protected]
www.lse.ls.tum.de/svt
Data protection notice: As part of your application for a position at the Technical University of Munich (TUM), you submit personal data. Please note our data protection information pursuant to Art. 13 of the General Data Pro-tection Regulation (GDPR) regarding the collection and processing of personal data in the context of your appli-cation, available at http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of TUM's data protection information.
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: Prof. Dr.-Ing. Heiko Briesen, [email protected]
08.06.2026, Academic staff
The Chair of Process Systems Engineering at the Technical University of Munich (Freising campus, School of Life Sciences) is seeking a research associate / doctoral candidate (m/f/d) for the "Development of a digi-tal twin and model predictive control for filtration processes".
Project
Join a research initiative in the field of Industry 4.0 and cyber-physical systems. The aim of the project is to develop a digital twin for precoat filtration processes and to use it within a model predictive control framework. Precoat filtration is an industrially established separation process in which, in particular, the optimal dosing of filter aids and the prediction of process behavior are still not yet sufficiently understood. The project will develop a mechanistic model that uses real-time data to describe future process behavior and make it usable for optimized process operation. The focus is on the modeling, numerical implementation, and control-oriented use of this digital twin. This includes the development of efficient simulation methods, the integration of measurement data for state reconstruction, and the implementation of model predictive control strategies with regard to operating costs, energy consumption, and product quality. The work will be carried out in close cooperation with an experimentally oriented partner research group and will combine methodological research with industrially relevant applications.
Your Profile
You have completed an above-average Master's degree in process engineering, chemical engineering, mechanical engineering, technical mathematics, or a related field. We expect knowledge of mathematical modeling, numerical simulation, or control engineering, as well as programming experience, for example in Matlab or Python. Initial experience with partial differential equations, optimization methods, or model-based control concepts is an advantage. You work independently and analytically and are interested in interdisciplinary research at the interface of modeling, data integration, and process control.
Our Offer
The position is available at the earliest possible date and is suitable for pursuing a doctorate. You will work in a scientifically demanding yet application-oriented research environment with a close connection to current questions of digitalization in process engineering. You can expect a diverse research project at the interface of modeling, data integration, and control, as well as collaboration with an experimentally oriented partner research group and strong industrial relevance. Applicants with severe disabilities will be given preference in cases of otherwise essentially equal suitability, ability, and professional performance. TUM aims to increase the proportion of women and therefore expressly encourages qualified women to apply.
Application
If you are interested in this position, we look forward to receiving your application at [email protected]. If you have any questions, please feel free to contact:
Technische Universität München
Chair of Process Systems Engineering
Prof. Dr.-Ing. Heiko Briesen
Gregor-Mendel-Straße 4, 85354 Freising
Tel. +49 8161 71-3271
[email protected]
www.lse.ls.tum.de/svt
Data protection notice: As part of your application for a position at the Technical University of Munich (TUM), you submit personal data. Please note our data protection information pursuant to Art. 13 of the General Data Pro-tection Regulation (GDPR) regarding the collection and processing of personal data in the context of your appli-cation, available at http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of TUM's data protection information.
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: Prof. Dr.-Ing. Heiko Briesen, [email protected]
