Do you want to contribute to sustainable water management and explore the role agriculture can play? Do you like hydrological modelling at different scales and linking those models to other disciplines? Do you also like to be out in the field to do measurements putting those models to the test and do you enjoy working with an interdisciplinary team to do so? Then you are the colleague we are looking for!
The vacancy in brief: The past summers have shown that Flemish agriculture is very sensitive to drought. Climate scenarios show that both the amount of precipitation and the number of days with precipitation in summer will decrease. In addition, extreme peak rainfall events will also occur more often. The need for smart agricultural water management will therefore only become more acute. To quantify the impact of water scarcity on agriculture and to test the efficiency of solutions, there is a need for adapted model ensembles that allow us to represent the links between groundwater, soil, climate, crop and management. Several ongoing projects use such model ensembles for a variety of applications ranging from smart drainage over the effectiveness of local infiltration techniques to quantifying the impact of drought and rising groundwater tables on agriculture in Flanders.
What do you do as a researcher at ILVO?
You are responsible for the deployment of groundwater, land-surface, vadose zone and crop models in different projects in collaboration with other ILVO colleagues and partner institutions.
As a researcher your work mainly consists of the following tasks:
You perform modeling work answering the research needs in different projects on water management, agriculture and climate
You follow up on the latest developments of available models, calibration methods and sensitivity analysis
You develop model frameworks that can represent the interactions between groundwater, soil water, climate and crops
You carry out fieldwork with other researchers to calibrate and validate these models, for example through geophysical methods, groundwater and soil moisture measurements
You perform scenario analyses to assess expected effects of climate change
Assistant Professor – Department of Soil Science, University of Manitoba, Canada
The Department of Soil Science, Faculty of Agricultural and Food Sciences, University of Manitoba invites applications for a full-time, tenure-track position in the broadly-defined area of Soil Physical Processes at the rank of Assistant Professor. The position begins on September 1, 2021, or as soon as possible thereafter. Salary will be commensurate with experience and qualifications.
Applicants are requested to submit the following materials, preferably via email as one PDF file attachment, by the application deadline of June 30, 2021. These materials will be shared with the members of the search committee.
1) A cover letter
2) In a maximum of three pages, address the following:
a) Teaching philosophy and interests
b) Research interests and scholarly work in relation to soil physical processes
3) A curriculum vitae that includes the names of three referees
4) Other materials that help support the application
Send to: Dr. Francis Zvomuya, Search Committee Chair
Email: Francis.Zvomuya@UManitoba.ca
Please refer to Position Number 30393 in the subject line.
Postdoctoral Researcher, Purdue University, USA
A full-time postdoctoral scientist position is available in the Department of Forestry and Natural Resources (FNR) at Purdue University. We are seeking a productive scholar with a combination of skills suitable for fusion of field and remotely-sensed full time posed data with ecosystem modeling approaches to contribute to a combination of NSF-funded projects. This position will be co-mentored by Drs. Brady Hardiman (Hardiman Lab) and Songlin Fei (Fei Lab); the PIs have a successful history of collaboration and have jointly mentored several students and postdocs. The postdoc will also have opportunities to work closely with a group of multidisciplinary scientists in the integrated Digital Forestry (iDiF) program, which is part of the Purdue Next Moves initiative.
The successful candidate will have completed a PhD, preferably in ecology or a related field. Excellent verbal and written communication skills, and a proven capacity to publish in peer reviewed journals are required. Preference will be given to applicants with demonstrated experience working with common remote sensing data products (e.g. lidar, Landsat, etc.) and strong coding, analytical, and statistical skills. Opportunities to mentor undergraduate and graduate students are available, and depending on candidate interest, opportunities may be available to gain experience teaching. This position may require some travel and field work to collect site-level ecological data but this is not anticipated to be a major component of the position. Funding is available for up to two years.
To apply, please send a single PDF file containing a cover letter describing your interest and experience, a CV, contact information for three references, and two relevant publications or manuscripts to Dr. Brady Hardiman (bhardima@purdue.edu). Please include “Macrosystems Postdoc Application” in your email subject line. Purdue University and the PIs are strongly committed to increasing diversity and we encourage applications from groups historically underrepresented in ecology research. Review of applications will begin in June. 15, 2021 with a preferred start date of August 2021. See link for details
Computational Scientist, Oak Ridge National Lab, USA
We are seeking an outstanding Computational Scientist for the Computational Earth Sciences group in the Computational Science and Engineering Division (CSED) to accelerate development of the US Department of Energy’s (DOE’s) Energy Exascale Earth System Model (E3SM) on the world’s largest supercomputing platforms. In conjunction with the related Exascale Computing Project (ECP) effort, the successful candidate will design and develop advanced numerical methods, algorithms and software tools for achieving optimal performance that leverage accelerator-based supercomputing platforms (e.g., Summit, Frontier, Aurora, and Perlmutter). CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes. See link for detail
PhD Position Biogeochemistry/Environmental Sci., University of Gothenburg, Sweden
The Department of Earth Sciences is looking to recruit a PhD student to work in collaboration with the Ecosystem Sciences group. The PhD project will deal with biogeochemical cycles at a landscape scale in a forested landscape. The experimental work will be conducted at the research station Skogaryd and will focus on the gross cycling of the macronutrients nitrogen, phosphorus and sulphur by use of isotope (15N, 33P, 34S) tracer approaches, soil carbon dynamics and/or exchange of greenhouse gases. The specific research plan will be developed together with the successful candidate and potential research questions include coupled biogeochemical cycles; temporal and spatial variation of biogeochemical processes; effects of land-use on biogeochemical cycles; and emission of greenhouse gases from ecosystems. Method development can also be part of the project. The candidates should provide a short research outline with their application (see “How to apply”). Deadline: 2021-07-27, See link for details.
PhD student who will lead a watershed modeling study at the University of Florida from 2022 Spring
The Department of Agricultural and Biological Engineering at the University of Florida (UF) is excited to announce a PhD research opportunity to investigate how conservation practices can help improve agricultural sustainability locally and regionally. The PhD research will quantify the interactions between agricultural management practices and nutrient loadings and identify water and nutrient transport pathways (surface water and groundwater) to downstream waterbodies at the field and watershed scales using mathematical models.
Specifically, the research project includes:
1. developing a set of simulation models coupled to each other to describe the water, sediment, and nutrient loading and transport processes happening in study watersheds in South Florida,
2. evaluating the field and watershed-scale effectiveness of agricultural conservation practices, including crop rotation (between sugarcane and flooded rice),
3. exploring alternative management practices and options for further effectiveness improvement,
4. optimizing the application timings and locations of conservation practices for maximized overall watershed-scale effectiveness.
This research is part of a Conservation Effects Assessment Project (CEAP) project supported by USDA-NRCS (https://www.nrcs.usda.gov/wps/portal/nrcs/main/national/technical/nra/ceap/). This PhD research will focus on the modeling effort and be closely integrated with monitoring studies and geospatial analyses that the UF-CEAP project team is conducting in South Florida. The monitoring-modeling and surface-groundwater integrated approach is expected to provide a solid and holistic picture of water and nutrient transport processes and their responses to agricultural conservation practices.
Interested qualified applicants are encouraged to send their CV, copies of transcripts, TOEFL (for international candidates only), and the contact information of three professional references with an application letter to Dr. Young Gu Her at yher@ufl.edu. GRE is NOT required, but feel free to submit it if you have one. The position will remain open until a suitable candidate is identified.
Contacts: Young Gu Her https://abe.ufl.edu/people/faculty/young-gu-her/, https://trec.ifas.ufl.edu/faculty/yher/, https://trec.ifas.ufl.edu/hydrology/
Job submission via e-mail to Sagar Gautam (sgautam at sandia.gov).
