Doctoral Researcher in AI and IMS-Based Analysis of Fermentation Processes | Chemiker (m/w/d)
Unknown Employer
Job Summary
This doctoral position, based at the Mannheim University of Applied Sciences within the Institute for Instrumental Analysis, focuses on the interdisciplinary field of Artificial Intelligence (AI), Volatilomics using GC-MS and GC-Ion Mobility Spectrometry (GC-IMS), and process modeling in biotechnology. The researcher will be responsible for setting up a multiplex online system for gas-phase analysis of fermentation processes, establishing reference analytics (e.g., GC-MS, LC-MS), and developing AI-based data analysis procedures, including CNN, GAN, and Autoencoders. A key component involves developing data augmentation techniques using neural networks and creating new tools for data management and analysis, ideally using Python. This role requires a strong background in analytical chemistry or related fields, initial experience in instrumental analysis, and foundational programming skills, offering a unique opportunity to apply cutting-edge AI and analytical techniques in a practical research environment.
Required Skills
Education
MSc in Chemistry, Food Chemistry, Biochemistry, or related fields
Experience
- MSc degree in Chemistry, Food Chemistry, Biochemistry, or related fields
- Very good academic performance
- Initial experience in instrumental analysis (e.g., GC-MS)
- Foundational programming skills (ideally Python and/or R)
- Basic experience with Machine Learning methods, Deep Learning, or Chemometrics
Languages
Additional
- Employment scope is 50% (19.75 hours/week); Position is temporary; Readiness to learn new subject matters; Willingness to work on hardware and engage in interdisciplinary tasks.