Research Associate | Wissenschaftlicher Mitarbeiter (w/m/d)
Technische Hochschule Nürnberg Georg Simon Ohm Land Bayern
Job Summary
This Research Associate position, based in Nuremberg and Kronach, focuses on developing and implementing cutting-edge Artificial Intelligence (AI) solutions, specifically for the "Intelligent Root Run-out Detection and Surface Detection for Wood Pre-processing (IWob)" R&D project. The role involves conceptualizing and implementing AI solutions for small and medium-sized enterprises, applying Machine Learning methods, and integrating solutions within a robotics context. The associate will be responsible for data collection, preparation for automated analysis, and building and maintaining a robust AI infrastructure for large-scale data analysis, ensuring compliance with data protection and security standards. Key requirements include a Master's degree in a relevant technical field, strong proficiency in mathematics, statistics, and machine learning, familiarity with agile development and version control, and excellent German (C1) and English (C1) language skills. This is an excellent opportunity to contribute to applied research in a dynamic university setting, focusing on innovation and technology transfer.
Required Skills
Education
Master's degree in Engineering, Computer Science, Data Science, or a comparable technical field
Experience
- Professional experience in conceiving and implementing AI solutions
- Professional experience with applied Machine Learning methods
- Experience with versioning and continuous integration of software components, including Open Source
Languages
Additional
- Fixed-term employment contract until April 30, 2028
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