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Ph.D. position in Machine Learning for Molecular Simulations
TU München · München | Deutschland · Onsite
Gehalt auf Anfrage
Gefunden am 17.05.2026
Beschreibung
Deine Rolle im Team The successful applicant will work on molecular dynamics simulations, where molecular interactions are predicted by neural network potentials. These state-of-the-art neural network models promise simulations at unprecedented accuracy, giving quantitative insight into physical processes at the nanoscale. The candidate will develop the next generation of neural network potentials and apply them to problems from different scientific fields, ranging from life sciences to engineering. Unsere Erwartungen an dich Ausbildung M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who will soon obtain the degree are also welcome to apply). Qualifikationen Strong background in machine learning. Proficiency in Python programming. Fluent in spoken and written English (knowledge of German is beneficial but not required). Erfahrung Experience with molecular simulations and knowledge of statistical physics is beneficial. Benefits Gesundheit, Fitness & Fun 🎳 Team Events Work-Life-Integration 🏠 Home Office 🚌 Gute Anbindung 🍼 Kinderbetreuung ⏰ Flexible Arbeitszeiten Mehr Netto 👴🏻 Betr. Altersvorsorge Themen mit denen du dich im Job beschäftigst Machine Learning Metadaten Level: Erfahren Job Feld: Data Anstellung: Vollzeit Vertragsart: Befristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Bildungswesen Ort: München | Deutschland