45,000 students and 8,000 employees in teaching, research and administration, all working together to shape perspectives for the future – that is the University of Münster (WWU). Embedded in the vibrant atmosphere of Münster with its high standard of living, the University’s diverse research profile and attractive study programmes draw students and researchers throughout Germany and from around the world.
The Institute of Pharmaceutical and Medicinal Chemistry in the Faculty of Chemistry and Pharmacy at the University of Münster (WWU), Germany, is seeking to fill the position of a
Doctoral Research Associate
(salary level TV-L E 13, 65%)
at the earliest possible date. We are offering a fixed-term part-time position (65%) for 3 years, representing a fully funded PhD position in Germany.
This position is part of a third-party funded project on the analysis and identification of fragments and the binding environments that should be used as starting points for the rational fragment-based design of new lead compounds with poly-pharmacological activities. The research includes:
- application of machine learning/AI for the development of target-specific scoring functions
- chemical space enumeration for the development of virtual libraries based on promising fragments
- application of structure-based and fragment-based design for the development of polypharmacology- based ligands
The candidate will work on this project closely together with another PhD student who will apply biochemical methods and x-ray crystallography for the validation of proposed compounds.
The candidate will gain comprehensive insight into the application of machine learning/AI, computational structure-based design and cheminformatics, and rational fragment-based lead discovery. All these methods are important parts of the drug discovery process and are regularly applied in industrial pharmaceutical research.
This position is tied to working towards a doctorate.
- An excellent university degree in pharmacy, chemistry, cheminformatics, drug design, computational life sciences, or a comparable university degree is required.
- Great interest in drug discovery and the application of computational methods including cheminformatics, structure-based design and machine learning methods are required.
- Experience with cheminformatics, structure-based design or machine learning/AI is desirable.
- Excellent written and spoken English is required.
- German language skills are not a requirement but a willingness to learn would be desirable.
The working group for computational medicinal chemistry and molecular design deals with the development and application of computer-based methods in rational drug design. This includes the application of artificial intelligence and the full range of ligand- and structure-based in silico methods (cheminformatics, virtual screening and rational drug design, docking, homology modelling, and molecular dynamics simulations) generally used in industrial pharmaceutical research. In an interdisciplinary way, the in-silico work is combined with the biochemical evaluation of small molecular compounds and x-ray crystallography.
The University of Münster is an equal opportunity employer and is committed to increasing the proportion of women academics. Consequently, we actively encourage applications by women. Female candidates with equivalent qualifications and academic achievements will be preferentially considered within the framework of the legal possibilities.
The University of Münster is committed to employing more staff with disabilities. Candidates with recognised severe disabilities who have equivalent qualifications are given preference in hiring decisions.
If you have any questions, please contact PD Dr Oliver Koch.
Are you interested? Then we look forward to receiving your application by 12 November 2021. Please send your application with the usual documents as pdf via email to:
PD Dr. Oliver Koch
Institute of Pharmaceutical and Medicinal Chemistry Correnstrasse 48
E-Mail: Oliver.Koch@uni-muenster.de Homepage: http://www.agkoch.de