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Researcher • linkenheim hochstetten
Researcher in Computer Vision and Sensor Fusion applied to Material Characterization (f / m / x) (75 - 100%)
ZEISS GroupEggenstein, LeopoldshafenSpeculative application for graduates and / or experienced professionals
Fraunhofer-GesellschaftKarlsruheLead Data Science Researcher
Top Remote TalentKarlsruhe, Baden-Württemberg, .DETelefonist / Researcher (m / w / d) 520 Euro Basis
APC ConsultKarlsruhe, Baden-Württemberg, GermanyUsability Tester / UX Researcher (m / w / d) bis zu 7.000€ brutto
Tech Staff Solutions Heidelberg GmbHKarlsruhe, Baden-Württemberg, DEWerkstudent UX Research & Discovery (w / m / d)
Media Applications SEKarlsruheTenure-track Professorship (W1) for Electrochemical Systems in Energy Supply
Karlsruher Institut für TechnologieKarlsruhe, Baden-WürttembergPostdoctoral Researcher (f / m / d) for Sustainability Assessment of Energy Technologies
Karlsruhe Institute of Technology (KIT)Karlsruhe, GermanyResearcher in Computer Vision and Sensor Fusion applied to Material Characterization (f / m / x) (75 - 100%)
ZEISS GroupEggenstein, Leopoldshafen- Vollzeit
As part of the central research technology at Zeiss, we in Karlsruhe are responsible for finding and exploring the ideas of tomorrow today and finding exciting opportunities for our business. We are looking for you to join our team as soon as possible. Join us and explore the possibilities of tomorrow. The position is limited to two years and can also be part-time (75%).
Your Role
Apply your deep knowledge in machine learning to develop systems that make real-time decisions regarding materials based on sensor data and images
Initiate and manage cooperative research projects
Network with internal and external partners who contribute technological expertise and application knowledge
Provide technical guidance to students and colleagues.
Your Profile
A master’s degree or PhD focusing on Computer Science, Data Science, Machine Learning, Chemometrics or a related field
Excellent communication skills, an initiative-taking attitude, high independence, and the willingness to work in an inter-disciplinary team
Chemometrics or deep learning for spectral modelling
Sensor fusion, ideally on different modality sensors
Real-time AI models on embedded systems
Your ZEISS Recruiting Team :
Katharina Dandorfer