Postdoc (F/m/x) - Spatio-temporal Patterns of Soil - Halle (Saale), Deutschland - Helmholtz-Zentrum für Umweltforschung UFZ

Helmholtz-Zentrum für Umweltforschung UFZ

Geprüftes Unternehmen

Halle (Saale), Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

The UFZ

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.

The job

In terms of biomass and diversity, fungi represent a dominant organism group in soils.

They provide important ecosystem services, such as soil formation, element cycling, plant nutrition, detoxification, as well as the exchange of gas and matter with atmosphere and ground water.

Accordingly, they cover a broad sprectrum of lifestyles.

Your tasks

Bioinformatical downstream processing of the Illumina MiSeq data
Statistical analyses of spatiotemporal patterns of soil fungi
Preparation of publications in international journals
Presenting of results on international conferences
Accessing fungal communities using molecular tools and highthroughput sequencing techniques

We offer

Excellent technical facilities which are without parallel
Work in interdisciplinary, multinational teams and excellent links with national and international research networks
A vibrant region with a high quality of life and a wide cultural offering for a balance between family and professional life
Interesting career opportunities and an extensive range of training and further education courses

Profile:

Scientific degree and PhD in biology, microbiology, ecology, bioinformatics, or related fields of science
Very good skills in microbial molecular ecology (NGS and Bioinformatics)
Broad interest in soil fungi and AMF
Very good statistical and modelling skills (preferable with R)
Very good oral and written communication skills in English
Highly motivated and teamoriented