Studentische Hilfskraft – Semantic Modelling, Machine Learning
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Job Description
Research Assistant at Fraunhofer-Gesellschaft focusing on semantic modelling and machine learning. Involvement in innovative data collection and algorithm development for production digitalization.
Responsibilities:
- Unterstützung in der Erhebung einer neuartigen Datenbasis und algorithmische Nutzung dieser Daten
- Entwicklung eines neuartigen Algorithmus im Kontext des maschinellen Lernens
- Umsetzung eines konzeptuellen Datenmodells zur Repräsentation semantischer Zusammenhänge und Förderung interoperabler Strukturen.
Requirements:
- Selbstständigkeit, Begeisterungsfähigkeit, sowie Motivation im Erlernen und dem Umgang mit neuen Forschungsansätzen
- Interesse an den Themen Digitalisierung im Produktionsumfeld (OPC UA, MQTT, NodeRED, Datenbanken)
- Kenntnisse in mindestens einer Programmiersprache (bspw. Java, Python oder C++) sind hilfreich
- Frontend-Devs (HTML, JavaScript etc.) sind ebenso willkommen
- Interesse und Erfahrungen im Bereich Machine Learning, sowie Ontologien (wie dem BFO-Standard oder der IOF-Referenz) sind von Vorteil, aber kein Ausschlusskriterium
- Offenheit gegenüber interdisziplinären Problemstellungen und zielstrebige Arbeitsweise
- Fließende Kenntnisse in Deutsch sind von Vorteil, aber kein Ausschlusskriterium.
Benefits:
- Zuarbeit und Unterstützung in einem Forschungsprojekt in der Domäne Bau mit der Möglichkeit Verantwortungen zu übernehmen
- Enge Betreuung durch wissenschaftlichen Mitarbeitenden und aktive Mitarbeit im Forschungsprojekt in der Baudomäne
- Raum für persönliches und akademisches Wachstum
- Zeitliche und räumliche Flexibilität
- Remote-Arbeit möglich
- Stabiles Arbeitsklima in einem motivierten Team aus wissenschaftlichen Mitarbeitenden
- Möglichkeiten zur Teilnahme an internen Hackathons
- Weiterbeschäftigung ist möglich.
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