within the project SIMPLAIX – a new Strategic Research Initiative between the Heidelberg Institute for Theoretical Studies (HITS gGmbH), Heidelberg University and Karlsruhe Institute of Technology (KIT). SIMPLAIX is an interdisciplinary cooperation focused on bridging scales in modeling molecules and molecular materials by combining machine learning and multiscale simulation-based approaches.
Machine learning for supported organic electrode materials. In this project, we aim to develop a screening and design framework for graphene-based nanocomposites as organic electrode materials for rechargeable batteries by combining high-level quantum-chemical computations, high-throughput screening, and machine learning techniques.
What qualifies you for this job
We are looking for highly motivated scientists to join our collaborative projects.
As a successful PhD candidate you should have a master’s degree (already completed or expected shortly) in chemistry, physics or a related discipline, and experience in chemical modelling and numerical simulations.
The environment of this job
You will work in a dynamic, highly interdisciplinary research environment in close collaboration with other SIMPLAIX members. While primarily working in the Computational Carbon Chemistry (CCC) group led by Ganna Gryn’ova at HITS, you will be also collaborating with the groups of Pascal Friederich and Marcus Elstner at KIT. At HITS you will find a first-class research environment and will have access to outstanding computational infrastructure.
The HITS benefits
The position is available immediately. To apply, please submit the following documents by 31 January:
For any additional information regarding the position please contact Dr. Ganna (Anya) Gryn’ova by email: firstname.lastname@example.org.
Please note that applications for the positions at HITS that are not submitted via the online system cannot be considered.
HITS gGmbH stands for equal opportunities and we strongly believe that our research benefits from inclusive and diverse teams.