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Applied scientist • bietigheim
Mandatory Internship in Hybrid Modeling of High-Voltage Traction Batteries Using Physics-Informed Neural Networks
Robert Bosch GmbHSchwieberdingen, DEHollister Co. - Vollzeit Key Holder (m / w / d), Breuningerland
abercrombie-fitch-co.Ludwigsburg, BW, DELead Data Scientist
IC ResourcesBaden-Württemberg, Baden-Württemberg, Germany- Gesponsert
Data Scientist (m / w / d) - Kunden & Vertrieb (befristet auf 1 Jahr)
Wüstenrot & Württembergische AGKornwestheim, DEData Scientist (m / w / d) - Customer and Sales
W&W-GruppeKornwestheim, BW, DEWissenschaftlichen Mitarbeiter (w / m / d) (Postdoc - im Fach Molekulare Medizin, Molekularbiologie, Biologie, Biotechnologie) 100%
Universitätsklinikum UlmBaden-Württemberg, DE- Gesponsert
Hollister Co - Brand RepresentativeSales Associate mwd Breuningerland
Abercrombie and Fitch Co.Ludwigsburg, Baden-Württemberg, Germany- Gesponsert
Mandatory Internship in Hybrid Modeling of High-Voltage Traction Batteries Using Physics-Informed Neural Networks
Bosch GroupLudwigsburg, Baden-Württemberg, GermanyArbeitslos? Wir machen dich zum IT-Berater im Produktmanagement (m / w / d) – Ohne Vorkenntnisse möglich!
Franklin Institute of Applied SciencesLudwigsburg, Baden-Württemberg, DE- Gesponsert
Post-Doc in Artificial Intelligence for Breast Cancer Image Analysis (m / f / d)
Robert-Bosch-Krankenhaus GmbHKorntal-MünchingenSenior Legal Counsel
ValeoBietigheim-BissingenHollister Co. - Brand Representative / Sales Associate m / w / d, Breuningerland
Hollister Co. StoresLudwigsburg, Baden-Württemberg, GermanyMandatory Internship in Hybrid Modeling of High-Voltage Traction Batteries Using Physics-Informed Neural Networks
Robert Bosch GmbHSchwieberdingen, DEMandatory Internship in Hybrid Modeling of High-Voltage Traction Batteries Using Physics-Informed Neural Networks
Robert-Bosch-Straße 2, 71701 Schwieberdingen, Germany
Full-time
Robert Bosch GmbH
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid : we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Job Description
- During your internship you will conduct a literature review of classical electrochemical battery models, physics-informed neural networks, and hybrid modeling techniques applied to high-voltage EV traction batteries.
- You will investigate and compare methods of incorporating physical laws into neural networks, evaluating their strengths and weaknesses to provide a comprehensive overview.
- Furthermore, you will develop a hybrid model that integrates electrochemical physics-based models with data-driven methods to address limitations of common electrochemical models.
- You will implement the most promising physics-informed neural network approaches using Python and suitable deep learning frameworks. You will also train and calibrate the implemented models using laboratory and real-world battery telemetry data, performing hyper-parameter tuning and rigorous validation, including sensitivity analysis, to assess reliability and generalizability.
- Additionally, you will analyze and optimize model performance focusing on accuracy, robustness, and computational efficiency.
- Finally, you will compile research findings into a clear and concise internship report or master thesis, detailing the hybrid modeling approach, implemented models, and performance results.
Qualifications
Additional Information
Start : according to prior agreement
Duration : 6 months (confirmation of mandatory internship required)
We offer you
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Christoph Kröner (Functional Department)
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