PhD Student in AI and IMS-based Fermentation Process Analysis | Promotion (m/w/d)
Technische Hochschule Mannheim
Job Summary
This research-focused role at the Mannheim University of Applied Sciences involves developing an innovative 'Online-Volatilomics' system for fermentation process monitoring. As a PhD candidate, you will work at the intersection of Artificial Intelligence, gas chromatography-ion mobility spectrometry (GC-IMS), and biotechnology. Your daily responsibilities include setting up multiplex online systems for gas phase analysis, developing AI-based data analysis methods (such as CNNs and GANs), and creating data augmentation techniques using neural networks. You will also manage data tools in Python, present research findings at conferences, and supervise undergraduate students. This position offers a unique opportunity to conduct interdisciplinary research in a modern campus environment with state-of-the-art laboratory equipment. The role is attractive for its blend of hardware development and advanced software modeling, supported by the benefits of the German public service sector (TV-L), including flexible working hours and comprehensive health management.
Required Skills
Education
Master of Science (MSc) in Chemistry, Food Chemistry, Biochemistry, or a related field with excellent academic records.
Experience
- Professional experience in instrumental analytics, specifically with GC-MS coupling techniques
- Experience in programming, ideally with Python or R
- Experience with machine learning methods, deep learning, or chemometrics is highly desirable
- Experience in laboratory environments and handling hardware components
- Experience in academic writing or presentation of research results
Languages
Additional
- Location: Mannheim, Germany. Employment is part-time (50%, 19.75 hours/week) under the TV-L EG 13 salary scale. The position is fixed-term for the duration of the research project.