What are the responsibilities and job description for the Postdoc: Machine Learning Assisted Catalyst Design (m/f/d) position at basf-se?
WELCOME TO BASF
We are a leading global research organization with over 3000 employees working in the field of material and analytical science, chemical synthesis, process development, bioscience, catalysis and digitalization. With our creative and diverse teams as well as our cutting-edge research, we help to make our customers more successful and drive the sustainability transformation.
WHAT YOU CAN EXPECT
Join our enthusiastic global team of experts in the Quantum Chemistry research group at BASF SE. You will have a unique opportunity to stay at the forefront of cutting-edge technology development and application to industrially relevant research problems focussing novel catalyst developments. Your work will focus on developing predictive methodology for bridging high-throughput simulation and experiments dealing with complex inorganic materials development. This postdoctoral position is available immediately at BASF headquarters in Ludwigshafen, Germany. Initially, the position is for one year, with the possibility of extension based on performance and budget.
- You will establish strategic directions for data-driven catalysis research, including the integration of synthetic or simulated data with experimental data and the application of explainable AI methods.
- Furthermore, you will develop machine-learned force fields for complex materials relevant to heterogeneous catalysis problems.
- The development of the protocols and infrastructure for systematic data generation to support machine learning solutions are part of your tasks as well.
- You will collaborate with a diverse team of chemists, researchers, and data scientists to provide state-of-the-art ideas and solutions.
- Last, but not least you will contribute to challenging projects that aim to make inventive contributions to the field of quantum chemistry.
WHAT YOU OFFER
- strong expertise in the development or application of machine-learned force fields and/or other machine learning techniques for materials design applications
- a recent PhD in electronic structure methods and atomic-scale simulations for solid-state materials
- high proficiency in Python code development and hands-on experience with data science workflows
- expertise in theoretical catalysis research including multiscale modelling approaches is highly desired
- excellent English and communication skills
WHAT WE OFFER
- Teambuddy - contact person for all questions and regular feedback
- Networks - get to know different perspectives, ways of thinking and fields of work
- Information about the compensation can be found here
- Flexible working hours - depending on the location and area of work
HOW TO REACH US
- Laura Bogner (Talent Acquisition), laura.bogner@basf.com will be happy to answer your questions for this position
- You can also reach our recruiting team here
- First information about our application process can be found here
ABOUT US
BASF SE, located in Ludwigshafen am Rhein, is the corporate headquarters of the BASF Group and part of the Rhine-Neckar Metropolitan Region. BASF stands for competence in chemistry since 1865 and is represented today in the world's major consumer markets, with a wide range of products. As the largest employer in the region, BASF SE offers multiple career opportunities for students, university graduates and professionals providing also training in over 30 professions. Leisure, sports, culture and a good infrastructure characterize the Rhine-Neckar Metropolitan Region, in which BASF is also involved with numerous activities. Learn more about BASF SE at on.basf.com/BASFSE_LU
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