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Master's Thesis (f/m/d) - Hybrid modeling for chromatography
YOUR TASKS AND LEARNING AREAS
1. You develop hybrid models that combine partial differential equations with neural networks
2. You implement and test numerical algorithms for partial differential equations and optimization
3. You build a valuable network of contacts in the research and development community at Bayer
4. You prepare publications, presentations, and documentation of your work
WHO YOU ARE
5. You are enrolled as a master’s student in mathematics, physics, computational engineering science, or a comparable field
6. You have knowledge of numerical methods for partial differential equations and optimization algorithms, ideally with experience in their implementation
7. You possess good knowledge of at least one modern programming language such as Julia (preferred), C/C++, or Python
8. Ideally, you are familiar with Deep Learning or have hands-on experience with a Deep Learning framework, such as Lux/Flux, JAX, PyTorch, or TensorFlow
9. Experience in using Git and Linux is optional, but preferred
10. You demonstrate flexibility and the ability to work in a structured and independent manner
11. You enjoy analyzing complex interrelationships and tackling challenging questions
12. You are fluent in written and spoken English
WHAT WE OFFER
Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!
13. For a full-time position, you can expect an attractive salary of € 2.214 gross per month
14. Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager
15. We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First
16. As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands
17. We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work
We look forward to your complete online application (cover letter, resume, certificate of study, and other relevant certificates) for a start date of approximately Mid of March 2026 for a period of at least 6 months or more.