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Advertising division: IAS-5 - Computational Biomedicine
Reference number: D166/2018, Physics, Chemistry, Bioinformatics

PhD position in Computational Molecular Science

PIs: Jun-Prof. Dr. Giulia Rossetti (IAS-5/INM-9) and Prof. Dr. Bernd Neumaier (INM-5)

Description:
The focus of this project will be the computational design of specific ligands as novel diagnostic probes for neuroinflammation. The PhD research activities will employ Bioinformatics and Molecular Dynamics simulations as well as Computational Pharmacology, Cheminformatics and Machine Learning. The project is in joint collaboration with Grünenthal GmbH and Taros Chemicals GmbH & Co. KG.

The PhD activity will be located at the Institute of Neuroscience and Medicine at the Forschungszentrum Jülich, Germany. It offers a highly cross-disciplinary environment due to a strong collaboration with the RWTH Aachen University, Germany.

Your Profile:

  • Master degree in Physics, Chemistry, Bioinformatics or a related field.
  • Basic Knowledge of Machine Learning approaches
  • Experience in theoretical (Bio-)Chemistry and/or in Physics
  • Basic knowledge of computational biology techniques as well as Unix operative system is highly appreciated
  • Good spoken and written English
  • Communication and teamwork skills

We offer:

  • The position is available for 3.5 years. Payment of the Ph.D fellow will be based on salary grade EG 13 (50%) Collective Agreement for the Civil Service (TVöD).
  • Working in an interdisciplinary environment
  • Opportunities of being part of the national and international scientific community
  • Specialized courses, summer schools, seminars by renowned experts

Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women. Applications from disabled persons are also welcomed.

Contact:
Complete applications should include a CV, the Degree thesis, a complete list of publications, names and e-mails of two referees, and should be submitted to Jun-Prof. Dr. Giulia Rossetti (g.rossetti@fz-juelich.de) and Prof. Dr. Bernd Neumaier (b.neumaier@fz-juelich.de) by January 15, 2019.

Documents sent will be screened by an evaluating committee and, based on the record of the scientific career, the shortlisted candidates will be invited for an interview, by teleconference if necessary.