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Vacancies 12th July 2019

Vacancies in soil science and related fields. Use ISMC Vacancies as reference.


Carbon sequestration potentials in agricultural soils, FZ Jülich, Germany
Agricultural soils offer the opportunity to store carbon since they are highly managed.
The main objective of the project is to quantify the storage and mitigation potential of various agricultural management practice options in terms of CO2 equivalents for different climate projections. We also plan the quantification of side effects on related compartments like nitrate leaching to groundwater. The investigated management practices will include e.g. increasing return of harvest residues, optimized N management, intercropping (greening), zero tillage and reforestation. The prognostic modeling using the Community Land Model (CLM) will provide maps of sequestration potentials including uncertainties based on ReKliEsDe scenarios and will be used by partners to develop a Soil Carbon App.


Computational Earth System Scientist at LANL, USA
Become part of a team that thrives on challenge, innovation, and mission-driven science. The Computational Earth Science Group ( in the Earth and Environmental Sciences ( Division at Los Alamos National Laboratory ( is seeking early- to mid-career scientists and engineers specializing in machine learning applied to earth science challenges to join us in our efforts to meet the nation’s earth science, environmental science, energy development, and national security challenges


3 PostDoc at Pennstate, USA
Geophysics postdoc: This associate will work to investigate how climate, weathering and rock properties influence subsurface critical zone architecture at the SSHCZO using near-surface seismic, ground-penetrating radar, and/or electrical resistivity methods, in addition to borehole logs.
The successful candidate should have the ability to manipulate large datasets and to compare different kinds of data. Field and modelling expertise would be optimal.

Hydrology postdoc: This associate will work to model a large watershed using hydrologic, soil, and meteorological data measured in smaller subcatchments.
The associate should have skills in hydrology, hydrologic modelling, and/or air-land surface modelling. Experience in geochemistry, geology, or ecohydrology could be helpful. The optimal candidate would have experience with PIHM.

Carbon cycle postdoc: The team is searching for a postdoctoral fellow who wishes to study the terrestrial carbon cycle in complex terrain. The position will include synthesis of observations with terrestrial ecosystem models (both quantitative and conceptual), and evaluation of the processes and data that are most critical for constructing high fidelity re-analyses and predictions of the terrestrial carbon cycle in the forested, complex landscapes of the Appalachian Mountains.  Expertise in terrestrial ecosystem models and processes, biogeochemical and ecological observations, and model-data syntheses are all desirable.

PostDoc in Vegetation Modeling at Los Alamos Nat. Lab, USA
The Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory (LANL) is seeking applications from diverse postdoctoral candidates with expertise in modeling vegetation dynamics under various environmental conditions (e.g., coastal, temperate, tropics and arctic) for Fall 2019. The successful candidate will improve the current state-of-the-art dynamic vegetation model, the DOE-sponsored Functionally Assembled Terrestrial Simulator (FATES), to better represent vegetation responses to water/salinity stress and the interactions between vegetation and natural disturbances such as fire, sea level rise and insects; parameterize and evaluate the model with observations from field or remote sensing; and test hypotheses related to vegetation responses to changes in future environmental conditions. The successful candidate will work within a multi-disciplinary team of plant physiologists, ecologists, hydrologists, geomorphologists and applied mathematicians from LANL and other national laboratories. Applications will be reviewed as received. To apply, please visit, search for position IRC73345.

Assistant Professor of Pedology at CESFRA, Marocca
The incumbent will join the Soil Inventories and Mapping Group of CESFRA whose responsibility will be to develop and conduct a research program in pedology; and teach the graduate courses. Hence, the successful candidate should develop a wide range of expertise, mainly, in the areas of soil genesis and classification; soil survey for land use planning, pedo-metrics, soil mineralogy, soil morphology, soil bio-geochemistry, and soil geomorphology.


Postdoc on coupled Earth system modelling towards impacts and opportunities of land management strategies at Brussels, Belgium
The LAMACLIMA project: There is now strong evidence that anthropogenic changes in land cover and land management (LCLM) are substantially affecting climate through the release of carbon to the atmosphere (biogeochemical effects), the alteration of local energy and water fluxes at the land surface, and their interaction with large-scale atmospheric dynamics (biogeophysical effects). The objective of the LAMACLIMA project is to advance the scientific and public understanding of LCLM-climate coupled effects and to elaborate sustainable land-based adaptation and mitigation measures. We will unravel potential of future scenarios to achieve both the Paris Agreement as well as several key Sustainable Development Goals (SDGs). We will investigate the local and remote biogeophysical and biogeochemical effects of three key changes in LCLM (re/afforestation, irrigation and wood harvest) on climate and their implications for several sectors (agriculture, water availability, forestry and economic productivity). The outcome of these analyses will serve as a basis to develop a lightweight tool to support land use decision making. This web-based, open source tool will be used to collect feedback from stakeholders (NGOs, industry, public institutions, etc.). Ultimately, we aim at uncovering ‘optimised’ scenarios in terms of LCLM, SDGs and associated future climate targets, to support integrated assessment of the land-climate-economy nexus. For more information about the project, see
Working within a climate research team, the successful candidate will be responsible for setting up and analysing a series of climate model simulations using the state-of-the-art climate model CESM.

PMR Lab, Department of Geology, Kansas State University
Numerical modeling techniques such as lattice-Boltzmann simulations have been successfully applied to better understand mechanisms and factors controlling fluid flow and transport in porous media. Porous Media Research (PMR) Lab has an opening for a postdoctoral research fellow to perform pore-scale numerical simulations of multiphase flow in porous rocks.

Identifying biophysical drivers of soil resilience across climate zones at Aarhus, Denmark
The resilience of soil to anthropogenic changes depends primarily on soil quality and soil organic carbon (SOC). The loss of carbon from the soil during the last few decades challenges food and fibre production and other ecosystem services; a challenge expected to increase with accelerated climate change. Thus, it is critical to consider how soil physical, chemical, and biological properties, in unison rather than in isolation, drive soil carbon storage – the primary driver of soil resilience. The threat of losing soil functions in the face of extreme climate conditions is growing due to the large amount of CO2 (4.3 billion tonnes per year) and other greenhouse gases emitted to the atmosphere. Current technologies to improve the capacity of soil to sequester and store SOC focus on reducing soil disturbance and enhancing soil carbon input (e.g., green manuring, crop residue incorporation and crop rotation). Soil microbial communities are primarily responsible for the degradation and stabilization of carbon as soil organic matter. The soil microbiome is therefore crucial to understanding the soil carbon cycle, and can be used as a climate change resilience indicator. It is critical to utilize an interdisciplinary methodology that integrates the soil microbiome and soil physicochemical properties to identify drivers of soil resilience in a changing climate.
The purpose of this PhD project is to (i) identify how soil microbial communities and their habitats are influenced by soil management and climate conditions and (ii) define the minimum physicochemical conditions required for the development of the soil microbial communities which are critical for carbon sequestration. The PhD project will involve experimental field work, laboratory analyses, and modelling.
The 3-year PhD position is a core part of the project “Biophysical drivers of soil resilience in a changing climate” funded by the Independent Research Fund Denmark. The prospective candidate will be part of the Soil Physics and Hydropedology research group at the Department of Agroecology and will be an integral part of field work and collaborations with Rothamsted Research, UK and the University of California, Davis.



Post-doc position: carbon and greenhouse gas cycling in a tropical watershed.

*Aim:  *tracking carbon in all reservoirs in a tropical watershed (groundwater, rivers, sediments, soil and vegetation) in order to establish of carbon mass balance of the Nyong river basin

   * Establishment of a fortnightly monitoring of greenhouse gases (CO2, CH4,
     N2O), particulate and dissolved organic matter (DOC and POC), total
     inorganic carbon (TIC) with project partners of IRGM/LAGE
   * Determination of concentrations and d13C for GHG, POC, DOC and TIC
   * Characterization of particulate OM in terrestrial reservoirs (vegetation
     and soils) and in riverine systems (SPM and sediment) by Rock-Eval
     pyrolysis et isotopic geochemistry
   * Determination of vertical and horizontal carbon fluxes in the rivers of
     the Nyong watershed
   * Determination of soil and vegetation carbon stocks together with
     colleagues from UMR AMAP (GIS, remote sensing)
   * Establishment of the carbon mass balance in the watershed
This post-doctoral position will be held at the GET laboratory (Toulouse, France) and funded by IRD. The study is part of the M-Tropics observatory (Cameroon site) and the LMI DYCOFAC project. The project falls in the framework of the IRD PSIP Seq2C pluridisciplinary project. The position includes mobility in Cameroon (field trips) but also in France and Europe (Belgium, Switzerland).

*Application:* Contact Fred Guérin ( and with CV and motivation letter.


9-month tenure-track Assistant Professor in Soil Chemistry available at the University of Maryland.
The Department of Environmental Science and Technology at the University of Maryland located in College Park, Maryland seeks candidates for a 9-month tenure-track Assistant Professor in soil chemistry. The position is 60% research and 40% teaching.

GEO-ICT expert (fulltime) at University Twente, Netherlands
The Department of Geo Information Processing (GIP) is a vibrant, multi-disciplinary scientific team, specializing in methods and techniques for processing (acquiring, organizing, analysing) spatio-temporal data and information, and in building tools (models, algorithms, visualizations) that improve our understanding of complex and dynamic spatial systems and help in decision-making at multiple spatial and temporal scales. The diversity of research efforts of the department requires a dedicated geo-ICT expert who will lead the development of the GIP computational infrastructure, coordinates future procurement and training activities, and helps develop new solutions to meet the requirements of teaching, research and projects.

NGEE-Arctic Vegetation Modeling Postdoctoral Scholar at Berkeley Lab
Berkeley Lab’s Climate & Ecosystems Division ( has an opening for a NGEE-Arctic Vegetation Modeling Postdoctoral Scholar. We seek a postdoctoral scholar to model the impact of climate and disturbance on Arctic shrub distributions and feedbacks to climate change. You will be part of a team at Berkeley Lab working on the NGEE-Arctic project. This project aims to improve predictive understanding of the carbon-rich Arctic system processes and feedbacks to climate. The research goals for you to project changes in arctic shrub distributions in response to climate change and to explore the controls and consequences of these vegetation shifts. The specific objectives for you will include developing representations of dynamic Arctic vegetation for a demographic, trait-enabled dynamic vegetation model called ELM-FATES; testing drivers and representations of vegetation competition and productivity involving nutrient availability and plant hydraulic stress; nitrogen-fixing vegetation; evaluating model representation of current and trending distributions of Arctic vegetation types; and using observations to explore potential controls on rates of shrubification.



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