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 

The Applied Mathematics group, Bayer AG, is looking for a master student (m/f/d) with experience in chemistry, mathematical modeling, data science and programming for our Leverkusen site. After a successful application you will become part of a team of mathematicians, scientists, and engineers.

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 have some knowledge in chemistry and chemical reactions and ideally the application of Deep Learning to chemistry and molecules
  • 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.
  • 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

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

Do you sometimes feel burnt out by bureaucracy? We do too. That's why we're changing the way we work - for higher productivity, faster innovation and better results. We call it Dynamic Shared Ownership (DSO). Find out more about what DSO will mean for you in your new role here: https://www.bayer.com/en/strategy/strategy

We look forward to receiving your online application. Please note that your thesis must be supervised by a university on your part. #LI-DE

YOUR APPLICATION 

Local regulations and legal requirements vary per country of hire and will be discussed with considered candidates individually based on their potential of hire.

      Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.     Bayer is committed to providing barrier-free access and support-facilities for individuals with disabilities - during the application process and beyond. Applicants with disabilities are encouraged to request any support / equipment they may need via the contact information below.           Location: Germany : North Rhine Westfalia : Leverkusen      Division: Crop Science     Reference Code: 828786

Location

Leverkusen, North Rhine Westfalia, DE

Job Overview
Job Posted:
3 months ago
Job Expires:
Job Type
Full Time

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