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Head of transformation • enkenbach alsenborn
PhD student in the field of "Mathematics to improve resource efficiency"
Fraunhofer-GesellschaftKaiserslautern- Gesponsert
Bachelor of Arts (B.A.) Betriebswirtschaft - Industrie
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Franklin Institute of Applied SciencesKaiserslautern, RP, deBachelor of Arts (BA) in Sozialer Arbeit (m / w / d)
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Straumann GroupRheinland-Pfalz- Gesponsert
Duales Studium zum Bachelor of Arts "Finanzdienstleistungen" (Beginn 01.08.2026)
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University of Maryland Global CampusGermany, Kapaun, KaiserslauternHead of Global Product Development
CoatsRheinland-PfalzDuales Studium - Handel (Bachelor of Arts) (m / w / d)
OBIKaiserslautern, Deutschland- Gesponsert
Software Developer Digital Transformation mwd
CGIKaiserslautern, Rhineland-Palatinate, GermanyQuereinsteiger in der Automatisierungstechnik (m / w / d)
Smart Future Campus GmbHKaiserslautern, Rheinland-Pfalz, DEBachelor of Engineering (m / w / d) in Embedded Systems
Porsche Engineering GroupMönsheim, GermanyHead of Controlling (m / w / d)
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FUCHS GroupKaiserslautern, RP, DEPhD student in the field of "Mathematics to improve resource efficiency"
Fraunhofer-GesellschaftKaiserslauternThe Fraunhofer Institute for Industrial Mathematics ITWM is the world's largest institute for industrial mathematics and is one of the top employers in Germany. In the Optimisation department, we use multi-criteria optimisation methods to develop innovative solutions for the diverse challenges faced by our customers from a wide range of industries. The results of our research work are of direct benefit to industry and society. Examples of this include the optimised irradiation of tumours and the planning of ground-mounted photovoltaic systems.
In order to increase resource and energy efficiency in production, the Fraunhofer ITWM develops prediction models on the basis of which process optimisations are carried out. These models are calibrated by adapting model parameters to measurement data. The quality of this adjustment is a decisive factor for the quality of the prediction models. The quality of the fit depends not only on the measurement accuracy, but also on the design of the measurements. Typically, this experimental design task is addressed by linearisation in the model parameters. In process engineering and biotechnology, however, one often has to deal with strongly non-linear relationships. The subject of this work is the development and investigation of methods to take into account non-linear relationships in the design of experiments in such a way that a practical benefit for industrial application arises.
What you will do
As part of your doctorate, you can investigate the following questions :
- How can uncertainties be quantified as reliably as possible?
- How do non-linearities in the prediction model affect the experimental design?
- How can the problem be formulated and solved with practical relevance?
- Which optimisation methods are particularly suitable or how do they need to be adapted?
- How can helpful, interactive software tools for decision support be designed?
What you bring to the table
What you can expect
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!
Please contact us if you have any questions :
Fraunhofer Institute for Industrial Mathematics ITWM
Requisition Number : 73375