Job Description

Where do you want to go? What do you want to achieve? How would you like to get involved? The choice is yours and we will support you on your way. At Bayer, multi-talents and specialists, visionaries and passionate people, thinkers and doers come together to feed the world, slow climate change and create healthier, more sustainable lives for all. This is the opportunity to start your career with a global leader committed to #HealthForAll #HungerForNone. Bring your ideas, skills and passion with you. Your career starts here.

Master's Thesis (f/m/d) - Hybrid modeling for chromatography

YOUR TASKS AND LEARNING AREAS

You develop hybrid models that combine partial differential equations with neural networks You implement and test numerical algorithms for partial differential equations and optimization You build a valuable network of contacts in the research and development community at Bayer You prepare publications, presentations, and documentation of your work

WHO YOU ARE

You are enrolled as a master’s student in mathematics, physics, computational engineering science, or a comparable field You have knowledge of numerical methods for partial differential equations and optimization algorithms, ideally with experience in their implementation You possess good knowledge of at least one modern programming language such as Julia (preferred), C/C++, or Python 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 Experience in using Git and Linux is optional, but preferred You demonstrate flexibility and the ability to work in a structured and independent manner You enjoy analyzing complex interrelationships and tackling challenging questions 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!

For a

full-time position

, you can expect an attractive

salary of € 2.214

gross per month Depending on the nature of your job,

flexible work

arrangements can be made in alignment with your manager We support your growth through access to

professional development

and learning opportunities, such as LinkedIn Learning and our language learning platform Education First As one of our perks, our

Corporate Benefits program

grants you access to sales discounts from more than 150 brands 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.

YOUR APPLICATION

This is your chance to join us in addressing the greatest global challenges of our time: keeping people healthy, feeding the world's growing population and slowing climate change. You have a voice, ideas and perspectives that we want to hear. Because our success starts with you. Be part of it. Be Bayer.

Bayer welcomes applications from all people regardless of ethnicity, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, marital status, pregnancy, sexual orientation, gender identity or any other extraneous criterion under applicable law. We are committed to the principle of treating all applicants fairly and avoiding discrimination

Please note that your thesis must be supervised by a university on your part.

Location:

Germany : North Rhine Westfalia : Leverkusen

Division:

Crop Science

Reference Code:

860935