Job offer from November 29, 2022
The Max Planck Institute for Plant Breeding Research (MPIPZ) in Colgone is one of the world’s premier sites committed to basic research and training in plant science. The institute has four science departments, three independent research groups and specialist support, totalling ~ 400 staff including externally funded positions.
The MPIPZ invites applications for a Postdoctoral Researcher (m/f/d) for Protein Mass Spectrometry Unit.
The successful applicant will develop/establish advanced methods for plant proteomics and engage multiple collaborations primarily within the institute. The group is equipped with state-of-the-art high-resolution mass spectrometers, which are used for peptide identifications and large-scale proteomic approaches. We are seeking an enthusiastic person, who completes and advances our proteomics group. We expect prior knowledge of peptide identifications by mass spectrometry as well as experience in running and maintaining mass spectrometers.
Successful applicants should hold a PhD in Biology / Biochemistry / Chemistry. Proven experience with the operation of high-resolution mass spectrometers and analysis of MS data is a requirement. Computer skills, including the use of statistical and scripting languages, previous work on plant proteomics is beneficial but not a requirement. Fluent written and spoken communication in English is essential, and German would be advantageous.
Additionally, the successful applicant should be highly self-motivated and team oriented. Strong communication and organizational skills are expected.
Payment and benefits are according to German TVÖD for 2 years initially with the possibility for renewal.
The Max Planck Society is committed to employing more handicapped individuals and especially encourages them to apply. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
Applicants are requested to send a full CV including a description of hands-on experience in LC-MS and MS data analysis, a complete list of publications, a description of their research experience, letter of motivation, and at least 2 names of referees as a single PDF file through the online system, by latest January 31, 2023. Applications do not meet the conditions will not be reviewed.