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Philipp Weller

2 months ago

PhD Position in Food Metabolomics, Volatilomics, and AI at Mannheim University of Applied Sciences Mannheim University of Applied Sciences in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

The position is funded by the BMFTR project 'SAM3' and is classified as EG 13 TV-L, 50% (19.75 hours/week), for a fixed term of 3 years. Benefits include public service benefits such as pension, annual bonus, work-life balance measures, health management, and travel subsidies. The position is part-time and includes training on the job.

Deadline

Expired

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Country

Germany

University

Munich University of Applied Sciences

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Keywords

Computer Science
Chemistry
Biology
Artificial Intelligence
Lc-ms
Python
Chemometric
Bioinformatics
Deeplearning
Machinelearning
Fermented Foods

About this position

A fully funded PhD position is available in the group of Prof. Philipp Weller at the Competency Center for Chemometric Analysis of Processes and Materials, Mannheim University of Applied Sciences, Germany. The research focuses on food metabolomics and volatilomics, integrating advanced analytical chemistry (LC-MS, GC-MS, GC-IMS-MS, GC-HRMS) with artificial intelligence and bioinformatics. The project, funded by the BMFTR ('SAM3' – Smart Applications for Multimodal Molecular Pattern Recognition), aims to develop a multiomics platform for complementary quality and authenticity analytics of fermented foods such as coffee and cocoa.

The interdisciplinary project offers the opportunity to work with renowned international partners and apply state-of-the-art analytical and computational methods. Key research areas include the development of AI-based data analysis tools (e.g., CNN, GAN, Autoencoder), data augmentation using neural networks, and the creation of new data analysis workflows in Python and/or R. The position involves both experimental and computational work, including building reference analytics, developing new analytical platforms, and presenting results in publications and conferences.

Applicants should hold a MSc degree in Chemistry, Food Chemistry, Biochemistry, or a related field, with strong academic records. Experience in instrumental analytics (GC-MS, LC-MS) and basic programming skills (Python and/or R) are required. Familiarity with machine learning, deep learning, or chemometrics is advantageous. The successful candidate will be technically skilled, enjoy interdisciplinary collaboration, and be motivated to work in a dynamic, international team.

The position is part-time (50%, 19.75 hours/week), fixed-term for 3 years, and classified as EG 13 TV-L. Benefits include public service pension, annual bonus, flexible working hours, health management, and travel subsidies. The university is committed to equal opportunity and encourages applications from women and individuals with disabilities. The application deadline is January 4, 2026. For more information, visit the official job posting or contact Prof. Dr. Weller.

Funding details

The position is funded by the BMFTR project 'SAM3' and is classified as EG 13 TV-L, 50% (19.75 hours/week), for a fixed term of 3 years. Benefits include public service benefits such as pension, annual bonus, work-life balance measures, health management, and travel subsidies. The position is part-time and includes training on the job.

What's required

Applicants must have a MSc degree in Chemistry, Food Chemistry, Biochemistry, or related fields with very good academic performance. Experience in instrumental analytics such as GC-MS or LC-MS is required. Basic programming skills in Python and/or R are mandatory, and experience with machine learning, deep learning, or chemometrics is advantageous. Candidates should have technical aptitude, enjoy interdisciplinary work, and be willing to engage in both hardware and software aspects of research. Good communication skills and the ability to work in an international team are expected.

How to apply

Apply online via the official portal at karriere.hs-mannheim.de by January 4, 2026. Prepare your application documents as required. For technical questions, contact Prof. Dr. Weller at [email protected]. For HR questions, contact the personnel department at [email protected].

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