Standort:

Freiburg im Breisgau

Zusammenfassung

Arbeitszeit: Vollzeit
Typ: Festanstellung
Qualifikationslevel: B Ausübungsformen

Gewünschte Fähigkeiten & Kenntnisse

Machine Learning, Network, Edge, Programmiererfahrung, IT, Progress, CAN, Simulation, Origin, Administration, Mobile App, Make, Storage, Distribution, MOST, Support, Programmiersprachen, Zeitmanagement, Matlab, Carbon, Chemietechnik, Engineering, Teamfähigkeit

Unsere Leistungen

Supervision

Stellenbeschreibung

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society - more precisely: 32 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

As one of the world's 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 1,300 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 22,300 m² of laboratory space enables cutting-edge research at an international level.

Ihre Aufgaben

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. 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.

What you contribute:

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.

In addition to the thesis, a contract as a student assistant is agreed. Remuneration is based on the level of your university degree.

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.

Ihr Profil

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 plan upcoming work steps independently and proactively, set priorities and ensure appropriate time management.
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 very good English skills.

Kontakt

Florian Nestler 49 761 4588-5211

Fraunhofer Institute for Solar Energy Systems ISE

www.ise.fraunhofer.de

Profil

Fachliche Voraussetzung

Chemieingenieurwesen, Data Science, Demonstrations-Fähigkeiten, Energieumwandlung, Forschung & Entwicklung, Künstliche Neurale Netzwerke, Machine Learning, Matlab, Modellierungsfähigkeiten, Multidisziplinärer Ansatz, Optimization Algorithms, Programming Languages, Simulationen, Wirtschaft, Wissenschaftliche Publikation, Zeitmanagement, Ökologie

Persönliche Fähigkeiten

Eigenmotivation, Teamarbeit

Sprachkenntnisse

Englisch

Bewerbung

Jetzt bewerben

Branche:

Bildung / Forschung

Arbeitgeber:

Fraunhofer-Gesellschaft

Adresse:

Fraunhofer-Gesellschaft Am Wolfsmantel 33 91058 Erlangen

Web:

http://www.fraunhofer.com, www.ise.fraunhofer.de

Benefits: