Job Description

Pay grade EG 13 TV-L, part-time (19.75 hours/week), fixed-term
Reference number 5111 P

for the Faculty of Biotechnology.

We offer interdisciplinary, cutting-edge topics at the interface between Artificial Intelligence (AI) and state-of-the-art analytics. Our applied research is conducted in close interaction with renowned industry players, focusing on new strategies for the digitalization of analytical processes. For our BMFTR-funded project “SAM3 – Smart Applications for Multimodal Molecular Pattern Recognition,” we are seeking a motivated and resilient individual interested in new multimodal metabolomics approaches in a high-class team. Have we sparked your interest?

Main Responsibilities

Conduct investigations within the research project:

• Develop a multiomics platform for complementary quality and authenticity analysis of fermented coffee, cocoa, and other foods
• Further develop our volatilomics platform (GC-IMS-MS, GC-HRMS)
• Establish reference analytics using common coupling techniques, e.g., GC-MS, LC-MS
• Develop AI-based data analysis methods, e.g., CNN, GAN, Autoencoder
• Design and develop data augmentation methods for generating synthetic data, e.g., using neural networks
• Develop and adapt new data analysis tools based on Python and/or R
• Evaluate and compare with literature
• Present results, publish findings
• Supervise students in study and thesis projects
• General laboratory work

Requirements

• We are seeking applicants (f/m/d) with excellent academic performance and an MSc degree in chemistry, food chemistry, biochemistry, or related fields
• You should have initial experience in instrumental analytics, e.g., GC-MS or LC-MS
• Basic programming skills (ideally in Python and/or R) are required; basic experience with machine learning/deep learning/chemometrics is helpful
• You have technical skills, enjoy working with hardware, and like interdisciplinary work

We Offer

• Public service benefits based on TV-L, such as company pension, capital-forming benefits, and an annual special payment
• Work-life balance and the reconciliation of family and career through flexible working hours, central advisory services via “Zusammen am Campus,” and voiio.
• In-depth onboarding through “training on the job”
• Measures of occupational health management, university sports, and corporate fitness.
• Working in a conveniently accessible location with excellent VRN and DB connections, nextbike sharing, and JobBike.
• Travel cost subsidies for using the job ticket.
• The Mannheim University of Applied Sciences holds the “Total E-Quality” distinction.

The employment relationship is limited to three years. 

Severely disabled applicants (f/m/d) will be given preference if equally qualified.

To increase the proportion of female employees, qualified women are expressly encouraged to apply. For questions regarding equal opportunities, please contact the Equal Opportunities Officer, Prof. Dr. Jessica Steinberger, e-mail: gleichstellung(at)hs-mannheim.de

Contacts: For technical questions, please contact Prof. Dr. Weller (e-mail: p.weller@hs-mannheim.de).

For questions about the application process, contact the Human Resources Department (bewerberfragen(at)hs-mannheim.de).

We look forward to receiving your application by January 4, 2026 via our online application portal at karriere.hs-mannheim.de.

Submitted application documents will be deleted or destroyed in accordance with data protection regulations after the selection process. Please also refer to our privacy policy – Datenschutzerklärung.