PhD position : Aging models for next generation energy storage battery technologies (m / w / d)
VARTA Storage GmbH
Nördlingen
Hybrid
EUR 50.000 - 80.000
Vollzeit
Gestern
Sei unter den ersten Bewerbenden
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Erstelle einen auf die Position zugeschnittenen Lebenslauf, um deine Erfolgsquote zu erhöhen.
Erstelle einen auf die Position zugeschnittenen Lebenslauf, um deine Erfolgsquote zu erhöhen.
Zusammenfassung
A leading company in battery technology is seeking a candidate to develop strategies and models for aging related to battery technologies. The role involves implementing and validating models, as well as optimizing operational strategies for energy storage devices. This position offers home office options, flexible hours, and support for your PhD thesis with an attractive salary.
Leistungen
Direct impact on product development processes
Home office options
Flexible working hours
Support for PhD thesis with an attractive salary
Qualifikationen
Relevant experience in programming languages, simulation tools, and machine learning required.
Willingness to deeply explore battery cell chemistry.
Good communication skills, team-oriented, and able to work independently.
Aufgaben
Development of strategies for aging models related to battery technologies.
Model implementation and validation.
Development of lifetime-optimized operational strategies for energy storage devices.
Kenntnisse
Programming languages
Simulation tools
Machine learning
Good communication skills
Team-oriented
Ability to work independently
Ausbildung
Educational background in industrial engineering
Material science
Computer science
Physics
Comparable field
Jobbeschreibung
Job Responsibilities
Development of strategies for aging models related to battery technologies.
Model implementation and validation.
Development of lifetime-optimized operational strategies for energy storage devices.
Qualifications
Educational background in industrial engineering, material science, computer science, physics, or a comparable field.
Relevant experience in programming languages, simulation tools, and machine learning.
Willingness to deeply explore battery cell chemistry.
Good communication skills, team-oriented, and able to work independently.
What We Offer
Direct impact on our product development processes.
Home office options and flexible working hours.
Support for your PhD thesis with an attractive salary.
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