Technical Research Assistant | Technische/r Angestellte/r (m/w/d)
Technische Universität Chemnitz
Job Summary
This role involves the development and operation of a sophisticated backend and computer vision system at the TU Chemnitz Faculty of Electrical Engineering and Information Technology. Working within the 'Controlled Environment Agriculture' laboratory, the successful candidate will focus on the automated analysis of image and sensor data to monitor plant health and growth. Day-to-day responsibilities include maintaining digital twin software, integrating data via APIs, and processing plant characteristics using deep learning frameworks. The position is ideal for a professional who enjoys bridging the gap between software architecture and scientific research, specifically in the field of biomass determination and plant health monitoring. This 80% part-time position offers a unique opportunity to work in an innovative academic environment until September 2026, contributing to cutting-edge AI-based analysis methods within a collaborative international team.
Required Skills
Education
University degree (Master's level preferred) in Computer Science, Electrical Engineering with a focus on Image Processing, or a comparable qualification.
Experience
- Extensive experience in the development, implementation, and maintenance of backend systems for data-intensive applications
- Proven experience in developing computer vision systems and optimizing neural networks for visual data
- Professional experience in processing and analyzing large image and sensor datasets using cloud-based architectures
- Experience in scientific-technical documentation and supporting publications in the field of plant health monitoring
- Experience working in an international professional environment
- Proven track record in developing and validating AI-based analysis methods
Languages
Additional
- The position is part-time (80%) and fixed-term until September 30, 2026. Applicants must submit applications by February 25, 2026, referencing keyword '241031_26-1'. Electronic applications via third-party hyperlinks are not accepted.
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