The UFZ has a strong commitment to diversity and actively supports equal opportunities for all employees regardless of their origin, religion, ideology, disability, age or sexual identity. We look forward to applications from people who are open-minded and enjoy working in diverse teams.

Your contact for any questions you may have about the job:
Matthias Bernt

Federcia Calabrese

Hryhoriy Stryhanyuk

Please submit your application via our online portal with your cover letter, CV (please omit your photo, age, or marital status) and relevant attachments.

Closing date for applications:

Place of work: Leipzig

More information about jobs at the UFZ:

Helmholtz-Zentrum f├╝r Umweltforschung GmbH - UFZ
Permoserstra├če 15
04318 Leipzig, Germany

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The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.

Heterogeneity is revealed as differentiation of class representatives (plants, animals, microbes) in their features (size, wellness, activity). Reliable methods of heterogeneity quantitation are required to optimize biotechnological processes, to study factors effecting the characteristics of living organisms, their adaptation to environmental changes and evolution.
Parameters of normal distribution like Coefficient of Variation (CV) may be successfully employed as heterogeneity measure when species show a unimodal distribution in their characteristics within a single population. To quantify the heterogeneity of multimodal distributions over several subpopulations, the Cumulative Differentiation Tendency Index (CDTI) is derived from a characteristic rank distribution approximated with the Zipfian power function. The Zipfian exponent is considered as Differentiation Tendency Index (DTI) for each subpopulation. The robustness of DTI and CDTI as heterogeneity indices has recently been proved on the single-cell-resolved data sets of SIP-nanoSIMS, optical microscopy and flow cytometry experiments
Unsupervised recognition of subpopulations and automated Zipfian approximation of multimodal rank distribution are the remaining challenges to be tackled in order to make the suggested heterogeneity quantitation technique available for a broad application.
The Department of Isotope Biogeochemistry offers the following position:

Master thesis: Implementation of Heterogeneity-quantitation methods (m/f/x)

Subject: Implementation of Heterogeneity-quantitation methods

Starting date: as soon as possible

Your tasks:

  • Implementation of unsupervised subpopulation recognition (i.e., data clustering)
  • Optimization of cluster number (e.g., robust K-mean)
  • Implementation of automated data approximation with the Zipfian power function

Your profile:

  • Bachelor in IT- Field
  • Experience in programming with Python or R
  • Knowledge/interest in numerical data evaluation
  • Enthusiasm and initiative at work
  • Good will to work in an interdisciplinary team
  • English (verbal and written)

We offer:

  • A close and good care
  • Exciting insights into the work of a leading institute
  • Excellent analytical and computing facility 
  • Work in inter-disciplinary, multinational teams
  • The possibility to introduce your own ideas and impulses from the beginning