Master Thesis

**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-talented people 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 an opportunity to launch your career with a global leader committed to #HealthForAll #HungerForNone. Bring your ideas, your skills and your passion. Your career starts here.**

**Master Thesis (all genders) - Deep Learning for identification of optimal reaction conditions**

**This position is part of a multinational team with the goal of finding optimal conditions for chemical reactions.**

**YOUR TASKS AND LEARNING AREAS**
- Support data collection, extraction and harmonization of information from various internal and external sources
- Development of new mathematical models in the fields of chemistry, specifically the prediction of chemical reactions
- Building a valuable network of contacts in the research & development community at Bayer
- Preparation of publications, presentations and documentation of your work

**WHO ARE YOU**
- Enrolled as a master student in a natural science program (chemistry, chemical engineering, physics, mathematics, or a comparable field)
- Experience in data analysis and modeling, first experiences with deep learning is an advantage
- Knowledge of a programming language such as python or julia, ideally first experience with a Deep Learning framework e.g. pytorch, tensorflow, jax or Flux
- You were exposed to git and Linux before
- Flexibility and ability to work in a structured and independent manner
- Enjoy analyzing complex interrelationships and challenging questions

**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.

**Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us**
- 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
- We encourage **sustainable mobility **by providing climate-friendly transportation options such as job tickets and bike sharing
- As one of our **perks**, our Corporate Benefits program grants you access to sales discounts from more than 150 brand
- We embrace diversity by providing an **inclusive work environment **in which you are welcomed, supported, and encouraged to bring your whole self to work

**YOUR APPLICATION**-
**Location**:

- Germany : North Rhine Westfalia : Leverkusen**Division**:

- Crop Science**Reference Code**:

- 828786