A postdoctoral position in the Computational Biotechnology group at the RWTH-Aachen University in Germany is available. The offer is a fixed-term contract for one year, extendable up to three years.
Job Description:
Computational modeling of solid-state nanopores optimized for protein detection supplemented by Machine Learning-assisted analysis. The research will be carried out within the framework of the new RamanProSeq project (https://cordis.europa.eu/project/id/101257819) funded by the European Innovation Council (EIC).
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: www.compbiotech.rwth-aachen.de
Closing date is May 5, 2026. Please send your application together with all important documents to Maria Fyta (mfyta@biotec.rwth-aachen.de).
GEFAM 