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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.
First of all you will collaborate with our scientists and lab technicians (in-person in the laboratories) to define requirements and optimization potentials.You will develop and refine Python scripts for analyzing battery data as well as implement automated documentation for the developed scripts and results.Moreover, you analyze and interpret measurement data to identify trends and patterns.You will implement statistical and machine-learning methods to improve data quality and assist in creating presentations as well as reports to present findings.
1. ongoing studies in Computer Science, Engineering, Physics, or a related field
2. strong knowledge of Python particularly in data analysis (e.g., li>good command of both German and English, spoken and written
3. Practical phase - actively apply theory in challenging and varied tasks/projects
4. Internship compensation - a recognition of the commitment, more information here:
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
Become a part of our winning formula for success and develop the future with us -- in a global team that embraces inclusion and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.