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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement Tenure-Track groupleader / scientist position (f/m/x) in fluvial morphology and biogeochemical modelling of stream ecosystems

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Tenure-Track groupleader / scientist position (f/m/x) in fluvial morphology and biogeochemical modelling of stream ecosystems

Position
Tenure-Track groupleader / scientist position (f/m/x) in fluvial morphology and biogeochemical modelling of stream ecosystems

Employer

Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany

We offer an interesting position with a long-term perspective according to IGB’s tenure-track guidelines in a dynamic international scientific environment. The working language is English. We have flat hierarchies, encourage active participation, and provide high individual freedom, enabling scientists to develop their creativity to the best of their abilities.

Homepage: https://karriere-igb.softgarden.io/job/53639126/Group-leader-position-f-m-x-in-fluvial-morphology-and-biogeochemical-modelling-of-stream-ecosystems?jobDbPVId=190050011&l=de


Location
Berlin, Germany

Sector
Academic

Relevant divisions
Biogeosciences (BG)
Hydrological Sciences (HS)

Type
Full time

Level
Experienced

Salary
Salary is paid according to the German salary scheme for the public sector (TVöD Bund E14)

Preferred education
PhD

Application deadline
20 March 2025

Posted
23 February 2025

Job description

The Department of Ecohydrology and Biogeochemistry of the Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB),Berlin, Germany, invites applications for a tenure track group leader position in fluvial morphology and biogeochemical modelling of stream ecosystems. The new group leader is expected to start a research program on linking physical, chemical and ecological process-based models of streams. Inland flowing waters i.e. streams and rivers are crucial for connecting elements of landscapes and form major components of the global nutrient and carbon cycles. This position aims to understand the functioning of streams, focusing on hydrological, morphological, biogeochemical and ecological components of streams, and their linkages across scales. The position will focus on investigating the impacts of global change on stream ecosystems through advanced, data-driven process-based modelling approaches. The successful candidate will join an existing interdisciplinary science and modelling team to support the strategic development in modelling stream/river ecosystems. Outstanding instrumented research catchments are close to Berlin, access to lab- and field-based data production and to computer clusters is available. Further, the Department builds on a long history of internationally recognized excellence in ecohydrology and biogeochemistry. We are seeking to enhance and complement these existing strengths.

Your role

  • Increasing the understanding the functioning of streams through process-based modelling, focusing on hydrological, geomorphological, biogeochemical or ecological components, and their linkages
  • Investigating the impacts of global change on stream ecosystems through advanced stochastic or numerical modelling approaches
  • Development and application of hydrology-based numerical models to predict cross-scale spatio-temporal patterns of fluvial morphology, biogeochemistry or related freshwater biodiversity and interactions with the surrounding landscape
  • Investigation of spatial hydrological and linked ecological processes (linking to metapopulations and meta-ecosystems) in stream networks based on virtual analogues that reproduce topological and scaling features of natural stream networks
  • Simulations of the transport and turnover of environmental or reactive tracers, sediment, nutrients, pollutants and environmental DNA in rivers.
  • Scenario simulations of the response of streams to both natural and human-caused disturbances e.g., floods, reservoir construction, channelization, or river restoration.
  • Use of these models to assess the effectiveness of sampling strategies and science-based information of land, water and ecosystem management as well as policy making.
  • Establish a new research group on linking physical, chemical and ecological process-based models of streams