A postdoctoral position in the Computational Biotechnology group at the RWTH-Aachen University in Germany is available. We offer a fixed-term contract for one year, extendable up to three years.

Job Description

Modeling of nanopores optimised for protein detection: on top of computer simulations, the project mainly involves the use and application of Machine Learning schemes for the analysis of experimental nanopore data. The research will be carried out within the framework of the newly funded nanodiagBW cluster (https://www.hahn-schickard.de/en/news-detail/nanopores-technology-nanodiag-bw)

Requirements

The position requires a university PhD degree in the Natural and Computer Sciences. Specifically, candidates with the following qualifications are encouraged to apply:

strong theoretical background in one of Physics/Chemistry/Biology/Computer Science

strong experience with Machine Learning algorithms

experience with computer simulations in the Natural Sciences

above average academic achievements

enthusiasm to learn beyond your individual research topic

willingness to actively collaborate with other researchers and disseminate research in different formats.

For more information please follow the link: https://rwth-aachen.de/go/id/suhwq.

Closing date is February 28, 2023. Please send your application together with all important documents to Maria Fyta ([email protected]).