Postdoctoral positions: Plant Microbe Interactions 2200 views

The Department of Plant Microbe Interactions at the Max Plank Institute for Plant Breeding Research (MPIPZ) invites applications for Postdoctoral positions (m/f/d). The Department is a global leader in research that seeks to define the principles as well as consequences of plant interactions with harmful and beneficial microorganisms.

About the position:

• The successful applicants will be given an employment contract at the MPIPZ and will be provided with initial funding in the form of a Postdoctoral Research Fellowship.
• The final number of offered positions will depend on the applicants, but in all cases, candidates will be expected to attract their own third-party funds.
• Shortlisted candidates will be invited to a symposium at MPIPZ in March or April.
• Here, they will present previous and/or current research and ideas on a research programme they propose to embark on in our department.
• These presentations will be given to a panel of senior researchers from the department, and time will also be allocated for invited candidates to meet PIs, PhD students and postdoctoral researchers in order to learn more about our research and get to know department members.
• Starting dates are flexible, but successful candidates should ideally begin in the department by autumn 2020.

Qualifications:

• Applicant must have (obtained within the last five years) a PhD degree or equivalent qualification in Plant Science, Microbiology (Bacteriology, Mycology), Host-Microbe Interactions, Immunology, Bioinformatics or a closely related field.
• Applicant must have at least one first-authorship in a peer-reviewed journal that reported novel biological findings or significant methodological advances in the respective research area.
• Applicant must have experience with various laboratory techniques in plant science, microbiology, molecular biology or expertise in bioinformatics.
• Training and experience in the application of the latest statistical and bioinformatics approaches for the analysis of sequencing data or a strong interest in gaining proficiency in such methods.

Applications:

• Apply online including the following documents:
• Cover letter detailing experience and interest in the topic
• A research proposal (3 pages maximum, not including references and figures)
• CV
• Names and contact details of two academic supervisors and relation to him/her