PhD position in Mathematical Biology: MPI 2296 views

The Research Group Stochastic Evolutionary Dynamics at the Max Planck Institute for Evolutionary Biology is inviting applications for a PhD student (m/f/d) in Mathematical Biology (3 years). The title of the project is “Evolutionary dynamics of antibiotic resistance on plasmids”.

About the position:
  • The position is part of a DFG-funded Research Training Group (RTG) on “Translational Evolutionary Research”.
  • The program brings together 14 research groups from several institutions to study how insights from evolutionary biology can be applied to solve problems in medicine, food production, and wildlife conservation.
  • Projects are organised in tandems who work on related topics. The tandem partner of the proposed project is Professor Tal Dagan (University of Kiel).
  • The student would hence closely interact with a research group that focuses on experimental evolution and data analysis.

Requirements:

  • Applicant must be interested in applying mathematical modeling to gain insights into biological problems and is enthusiastic about math as well as about biology.
  • Applicant will have to learn how to set up and analyse theoretical models to describe biological processes and become skilled in using branching process theory as a modeling tool.
  • Applicants should have a background in Mathematics, Physics, Biology, Computer Science or a related field.
  • Good quantitative skills are essential. Prior experience in mathematical modeling and knowledge of a programming language (C, C++, Java, R, Python) is an advantage.

Applications:

Application to be sent via email to uecker@evolbio.mpg.de including:

  • Motivation letter
  • CV
  • Copies of certificates
  • Contact details of two references
  • Use the code PhD2019-2 in the subject line.
—————–Quick Overview————-
OrganizationMax Planck Institute for Evolutionary Biology
CountryGermany
Fellowship LevelDoctoral
Subject areasMathematics, Physics, Biology, Computer Science
Fellowship amountVaries
EligibilityOpen to all nationalities
DeadlineDecember 15, 2019
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