Studentische Hilfskraft "Forschung und Analyse zu Wasserstoff- und Power-to-X-Systemen"

As one of the worlds largest solar research institutes the Fraunhofer Institute for Solar Energy Systems ISE makes a significant contribution to a sustainable economical secure and socially equitable energy supply worldwide. Our goal is to drive the energy transition forward with practically applicable technological solutions through excellent research results successful industry collaborations and spin-offs. With around 1300 employees we conduct research in four main areas: energy supply energy distribution energy storage and energy use. The state-of-the-art R&D infrastructure of Fraunhofer ISE with 22300 m² of laboratory space enables cutting-edge research at an international level.

Hier sorgst Du für Veränderung

You want to actively help shape the energy transition and gain practical experience during your studies With us you will work on making this goal a reality. As part of the transformation towards a sustainable and CO2-neutral economic and energy system Power-to-X processes in which sustainably produced hydrogen (H2) and carbon dioxide (CO2) from biomass or the atmosphere are converted into base chemicals and synthetic fuels will play an essential role. Methanol will be of particular importance due to its broad range of applications. However due to the complexity of the reaction network the exact kinetic modelling of methanol synthesis using conventional approaches is a challenging task.

The aim of the thesis is to fit a machine learning (ML)-based kinetic model of methanol synthesis to an extensive experimental data set. The necessary balance equations and a detailed physical model are already available and validated. Accordingly the focus of the thesis will be less on the chemical processes in the reactor and more on the use and adaptation of suitable ML and optimisation algorithms in order to achieve a further improved description of the chemical reaction.

To support our Sustainable Synthesis Products department we are looking for a student assistant with the opportunity to write a thesis to take on the following tasks:

• You familiarise yourself with the fundamentals of methanol synthesis and reactor modelling using relevant scientific literature.
• You familiarise yourself with our MATLAB-based simulation platform with our guidance.
• You develop concepts for embedding ML models into our simulation platform.
• Using simplified fitting campaigns you select the most promising approach and then use it to fit all available measurement data.
• By means of a detailed comparison between the results of the existing conventional models and the ML-based models you have developed you analyse the strengths and weaknesses of both approaches.
• You present your results to our team.
• You summarise your findings in the form of a thesis.

Hiermit bringst Du Dich ein

• You study Data Science Environmental Sciences Chemical Engineering or a comparable field.
• In the course of your studies you have already gained initial experience in the field of machine learning for example in implementing and using neural networks.
• In the course of your studies or through your own projects you have built up expertise in programming and are familiar with using MATLAB or a comparable programming language.
• Experience with different optimisation algorithms is an advantage but not a requirement.
• You are able to plan upcoming work steps independently and proactively set priorities and have appropriate time management skills.
• It is important to you to contribute to your team and to achieve goals together including in an interdisciplinary environment.
• You prepare and deliver presentations with confidence have a confident manner and are able to convince others.
• You have excellent English skills.

Was wir für Dich bereithalten

• Exclusive insight: By working together with the scientists in our work unit you will gain an insight into everyday research and development at a research institute.
• Research mix: We give you the opportunity to combine experimental work with theory and thus apply and expand your knowledge from your studies.
• Supervision: You will be supervised in your work by scientists and receive feedback on your progress.
• Teamwork: You will gain experience of working in a team by interacting with academic and student staff and will be able to contribute the experience you have already gained.
• Working hours and location: We offer you the opportunity to flexibly adapt your working hours to your needs by arrangement and to work from home from time to time.
• Equal opportunities: We value equal opportunities and make room for diversity.
• After work: Celebrate yourself and your colleagues at after-work events or our annual employee parties.

Die Vergütung richtet sich nach dem Abschlussgrad der Hochschulausbildung. Die monatliche Arbeitszeit beträgt 80 Stunden.

Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen unabhängig von Alter Geschlecht Nationalität ethnischer und sozialer Herkunft Religion Weltanschauung Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt.

Bereit für Veränderung Dann bewirb Dich jetzt (inkl. Lebenslauf Anschreiben Arbeitszeugnisse/Leistungsnachweis) und mach einen Unterschied! Nach Eingang Deiner Online-Bewerbung erhältst Du eine automatische Empfangsbestätigung. Dann melden wir uns schnellstmöglich und sagen Dir wie es weitergeht.

Questions about this position will be answered by:
Florian Nestler
-5211

Fraunhofer-Institut für Solare Energiesysteme ISE

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