PhD in Forensic Microbiome Research (Marie Curie Doctoral Network)

The Landscape Ecology Lab at the Institute of Environmental Science
and Geography, University of Potsdam, invites applications for a fully
funded PhD position within the Marie Sk??odowska-Curie Doctoral Network
???Natural Traces??? (Grant No. 101120165).

Project Overview:
This interdisciplinary PhD project combines microbial ecology, forensic
science, bioinformatics, and machine learning to develop innovative
methods for forensic geolocation using microbiome data.

Key Activities:
- Develop predictive models for sample origin based on microbiome data
  across seasons and geographic scales
- Compare sequencing technologies for their suitability in forensic
  geolocation
- Identify taxa providing biogeographically relevant information and
  study microbial diversity patterns in Berlin
- Assess the practical applications and potential weaknesses of the
  geolocation method through a controlled experiment

Who Should Apply:
- Master???s degree in Biological Sciences, Forensic Science, Computer
  Science, or related fields
- Experience with Python, R, and/or Bash for microbiome data analysis
- Strong background in bioinformatics, microbial ecology, or forensic
  science is a plus
- Excellent English skills
- Eligibility: No prior PhD; applicants must not have resided or
  carried out their main activity in Germany for more than 12 months in
  the past 36 months

Full Job Description, Funding & Application Details:
For complete information on funding, benefits, and how to apply, please
refer to the full ad on EURAXESS:

https://euraxess.ec.europa.eu/jobs/366544

Bertrand Fournier <bertrand.fournier@uni-potsdam.de>

(to subscribe/unsubscribe the EvolDir send mail to
golding@mcmaster.ca)