BASF Veterans Jobs

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BASF Postdoc: Machine Learning for Chemistry (m/f/d) in Ludwigshafen, Germany

Job Field : Research & Development

Location : Ludwigshafen,DEU

Company : BASF SE

Job ID : EN57777000ONLE4

Ludwigshafen is the world's largest integrated chemical complex and home to BASF Group headquarters. Located in the heart of Europe's Rhine-Neckar metropolitan region, you will find this to be an attractive place for both work and leisure time.

Do you have questions about the application process or the vacancy?

Ms. Isabell Wollenweber (Talent Acquisition)

Phone: +49 30 2005-59177

Learn more about BASF SE at http://on.basf.com/Headquarters

At Digitalization & Information Services, we are shaping the digital transformation at BASF. In doing so, we are establishing a stable and secure IT infrastructure and jointly developing innovative digital solutions with the BASF divisions, which make our customers more successful. We are constantly looking for new and promising ideas and technologies in order to be the world's leading digital chemical company.

What you can expect

As part of an enthusiastic global team of experts in our Research Department Digitalization Bioscience and Knowledge, you will provide decision support to our crop protection and other bioscience research and development activities.

  • In the research group Computational Chemistry, you will develop new models to predict biological activities or properties of chemicals, pesticides and drugs.

  • In this context, you will use data from public sources and internal proprietary reports to develop state-of-the-art machine learning solutions for the chemical industry.

  • Hence, you will work in a diverse team of computational chemists, medicinal chemists and biologists, to develop state-of-art machine solutions for problems with real business impact.

What we expect

  • You have successfully finished your PhD in chemoinformatics, statistics, computer science, or a related field.

  • During your research in the area of machine learning or data science you gained expertise in deep learning, transfer learning or generative models by using your strong command of machine learning and data science tool kits e.g. scikit-learn, PyTorch, TensorFlow, Keras.

  • Additionally, you also have a strong background in the fields of data pipelining. Basic knowledge of common web technologies like micro-services, html and javascript is a plus.

  • Your excellent interpersonal and communication skills in English will pave the way to an effective work in an interdisciplinary environment. German language skills will be considered a plus.

We offer

Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.

Support of all employees by using different measures to ensure the balance of professional and private life.

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