PhD student in Modern flow cytometry 777 views

The Helmholtz Centre for Environmental Research (UFZ) is inviting applications for a PhD student (m/f) in Modern flow cytometry. It is a data-rich endeavor where huge data sets are routinely created. The generated data sets with optical properties of millions of cells in a high-throughput fashion. The analysis of microbial communities as done in the lab has applications in medical diagnosis, health, yield improvement in bio-reactors, the analysis of eco-systems, and many more. The Subject of project is “Development of automated model-based clustering tools for microbial cytometric data”.

Starting date: 01.04.2019

Duration of the project: 3 years

Tasks and responsibilities:

  • The development and implementation of efficient algorithms for automatic microbial cluster analysis.
  • Visualization of huge single cell data sets, and time series data.
  • Development of an integrative approach that combines information of ecosystems into microbial cytometric data.
  • The prediction of microbial community behavior over time using novel ecological models.


  • Applicant should hold a Master degree (or comparable) in Computer Science, Bioinformatics, Data Science, Applied Mathematics, Statistics, or a related field.
  • Applicant must have background in at least one of the following areas: algorithm development, statistics, bioinformatics, modelling and basic microbiology.
  • Experience in at least one programming language is required, as is the willingness to acquire knowledge about development and implementation of efficient algorithms for high-throughput data.
  • Applicant must be able to communicate in an inter-disciplinary team.

How to apply:

—————–Quick Overview————-
Organization Helmholtz Centre for Environmental Research (UFZ)
Country Germany
Fellowship Level Doctoral
Subject areas Computer Science, Bioinformatics, Data Science, Applied Mathematics, Statistics
Fellowship amount Varies
Eligibility Master’s degree
Deadline 18th February 2019

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