Internship | Battery degradation modelling for energy systems, Eindhoven
Internship | Battery degradation modelling for energy systems, Eindhoven
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5600 Eindhoven, Nederland -
Geplaatst op: minder dan een week geleden
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Onthouden -
Delen
Advertentietekst
About this position
This internship focuses on battery degradation modelling with direct impact on hybrid power plant optimization. You will work with our team on translating scientific knowledge into practical models and contribute to solutions that help advance reliable and efficient energy system design. You will be part of an environment where curiosity is encouraged, ideas are welcomed, and you have the space to develop your expertise.What will be your role?
Develop battery degradation models based on literature, using Python and machine learning approaches to explore and address how battery performance evolves over time. Review semi‑empirical and data‑driven models, implement and compare them, and structure these models into a reusable database for hybrid energy system applications.Go through different phases of the project: literature review, model development, validation, and integration, translating findings into a structured modelling framework or prototype tool. Further develop programming and data analysis skills, gain knowledge in battery systems and degradation mechanisms, and contribute ideas within the energy systems modelling team.What we expect from you
Background in engineering, applied physics, data science, or a related field, with an interest in battery systems and energy technologies. Basic to strong skills in Python programming and an interest in machine learning and data‑driven modelling, or strong motivation to develop them quickly. Analytical and structured work approach is helpful; curiosity, proactivity and teamwork are essential.What you'll get in return
An internship at TNO in a professional working environment where you can discover strengths, learn, and build experience beyond the internship. Professional and dedicated supervision with focus on learning objectives, development and study assignment. Use of a laptop and the facilities needed to perform your work effectively.A monthly internship allowance of€615 for a full‑time internship. Up to eight hours of leave per internship month for full‑time internship. A contribution toward travel expenses if you are not entitled to a student travel card. Free membership to Jong TNO, offering networking, sports, professional and personal developmentactivities.
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This internship focuses on battery degradation modelling with direct impact on hybrid power plant optimization. You will work with our team on translating scientific knowledge into practical models and contribute to solutions that help advance reliable and efficient energy system design. You will be part of an environment where curiosity is encouraged, ideas are welcomed, and you have the space to develop your expertise.What will be your role?
Develop battery degradation models based on literature, using Python and machine learning approaches to explore and address how battery performance evolves over time. Review semi‑empirical and data‑driven models, implement and compare them, and structure these models into a reusable database for hybrid energy system applications.Go through different phases of the project: literature review, model development, validation, and integration, translating findings into a structured modelling framework or prototype tool. Further develop programming and data analysis skills, gain knowledge in battery systems and degradation mechanisms, and contribute ideas within the energy systems modelling team.What we expect from you
Background in engineering, applied physics, data science, or a related field, with an interest in battery systems and energy technologies. Basic to strong skills in Python programming and an interest in machine learning and data‑driven modelling, or strong motivation to develop them quickly. Analytical and structured work approach is helpful; curiosity, proactivity and teamwork are essential.What you'll get in return
An internship at TNO in a professional working environment where you can discover strengths, learn, and build experience beyond the internship. Professional and dedicated supervision with focus on learning objectives, development and study assignment. Use of a laptop and the facilities needed to perform your work effectively.A monthly internship allowance of€615 for a full‑time internship. Up to eight hours of leave per internship month for full‑time internship. A contribution toward travel expenses if you are not entitled to a student travel card. Free membership to Jong TNO, offering networking, sports, professional and personal developmentactivities.
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Belangrijke informatie
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BedrijfsnaamTNO -
PositieInternship | Battery degradation modelling for energy systems
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Meer informatie over deze advertentie
Internship | Battery degradation modelling for energy systems is geplaatst in de Eindhoven stages, afstudeeropdrachten rubriek op Locanto.
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