Our unit supports BASF's divisions in answering logistical challenges and issues with digitalization solutions.
-You will establish and coordinate collaborations with industrial and academic partners in the field of Next Generation Computing, specifically in the area of quantum computing.
-You will contribute strong domain expertise in machine learning, optimization, statistics, mathematics or quantum computing to make internal as well as external multi-disciplinary collaborations a success.
-Furthermore, you will undertake the preparation and pre-processing of use cases and post-processing of quantum computing results using state-of-the-art classical computing approaches and emerging quantum technologies (e.g., NISQ and beyond).
-In addition, you will (co-)develop and apply quantum computing methods, algorithms and workflows to solve relevant use cases.
-You will also provide software solutions for relevant use cases for BASF's broader chemistry, quantum chemistry and next generation computing community.
-We value your suggestions for new ideas to explore further use cases in the broader context of Next Generation Computing, including but not limited to leveraging public funding opportunities.
-Studies in Computer Science, Physics, Mathematics, Chemistry, Engineering or a related discipline with an outstanding PhD
-Deep knowledge in machine learning, statistics, deep learning or optimization
-Programming skills in modern languages such as Python
-Motivated to work in an interdisciplinary, cross-functional environment as well as willingness to constantly learn in a quickly evolving and challenging field
-Experience in quantum computing in particular in related software libraries and toolkits such as Qiskit, Cirq, Pyquil, Pennylane as well as software libraries related to annealing or quantum inspired
-Business fluent English as well as further language (e.g. German) skills are an advantage
Do you have questions about the application process or the position? Mrs. Thräner (Talent Acquisition) Phone no.: +49 (0)30 2005 59929
Job ID - 59394763