We seek a Research Assistant to contribute to the establishment and operations of a new Arctic carbon monitoring network, which will include the establishment of new eddy covariance monitoring sites across the Arctic-boreal region and coordination and support for existing flux sites. The Research Assistant will work closely with collaborators and Woodwell scientists to develop the monitoring network, including establishing new flux sites, maintaining new and existing sites, and downloading, quality checking and analyzing data.
Job: Scientist II – Micrometeorology
Location: Boulder, CO. Some presence in the office is required
Position Type & Term: This is a Full-Time, 5-year term position
Compensation Min – Mid Range: 103,336.00 USD – 129,169.00 USD
*Final salary and rates are based on education, experience, and skills relevant to the role.*
For More INFO and how to APPLY please visit this link: https://ucar.wd5.myworkdayjobs.com/UCAR_Careers/job/Foothills-Lab-1/Scientist-II—Micrometeorology_REQ-2023-274-1
Job Opportunity: Research Scientist – Micrometeorology.
This is a Scientist III position and will be awarded after successfully completing the Scientific Review Process (ARG).
Position Type & Term: Full-time, Regular
Location: Boulder, CO
Compensation Min – Mid Range: 119,418.00 USD – 149,272.00 USD *Final salary and rates are based on education, experience, and skills relevant to the role.*
For More INFO and how to APPLY please visit this link: https://ucar.wd5.myworkdayjobs.com/UCAR_Careers/job/Foothills-Lab-1/Research-Scientist—Micrometeorology_REQ-2023-275-1
The FastPheno project is soliciting applications for a postdoctoral position at the University of Toronto.
The individual will be working as part of a larger team including researchers from the University of Toronto, Université Laval, Natural Resources Canada, and the Ministry of Forests, Fauna and Parcs of Quebec. Our team combines the next generation of high-throughput drone-based phenotyping platforms, plant ecophysiological and genomics approaches to better understand forest dynamics and tree resilience to climate change impacts. The successful candidate will be based in Toronto and work in an interdisciplinary team of researchers of the four participating organizations in a highly collaborative environment.
If you have a background or interest in one or several of the following areas, you should send us your application: High resolution image classification, remote sensing of vegetation, data sciences, computer sciences, bioinformatics, statistical modelling, environmental sciences, ecophysiology of plants, and ecology of trees.
Potential applicants should send their CV, a list with the names and contact information of 2-3 references and a max. one1 page motivation letter in a single PDF file to [email protected]. Use the words Application Postdoc High Resolution Imagery in the subject line of your email. The review of applications will commence immediately until the position is filled.
METER Group’s vision is anchored in delivering value through the symbiosis of science, sensors, telemetry, and software. As a Research Scientist, you generate a continuous stream of concepts, designs, and applications that are turned into products. You must possess a logical and independent mind, be an exceptional problem solver, have a solid foundation in math and science relative to your chosen fields, and demonstrate attention to detail and accuracy. In addition, you must be an
excellent communicator, work well in teams, be flexible and willing to compromise when necessary and be able to translate your deep understanding of scientific concepts in ways that make them accessible to others.
A fully funded 4-year PhD position is open at the Catchment and Wetland Sciences (CAWS) Research Group (www.caws.ualberta.ca), in the Department of Renewable Resources at University of Alberta, under the supervision of Dr. David Olefeldt. Start of program is January 2023, or May 2023. We are looking for a talented student with interests in ecosystem greenhouse gas balance, soil biogeochemistry, peatland ecology, and Canada’s northern permafrost region. The project will focus on the use of eddy co-variance techniques to assess the greenhouse gas and energy balance of northern permafrost peatlands affected by wildfire. Field research will be conducted in northernmost Alberta at sites with established infrastructure.
We seek a Research Assistant to contribute to the establishment of a new Arctic carbon monitoring network, which will include the establishment of new eddy covariance monitoring sites across the Arctic-boreal region and coordination and support for existing flux sites. The Research Assistant will work closely with collaborators and Woodwell scientists to develop the monitoring network, including establishing new flux sites, maintaining new and existing sites, and downloading quality checking and analyzing data. This position is part of a larger project to monitor and forecast Arctic-boreal carbon fluxes. The successful candidate will work within a highly collaborative environment and be supported by a strong project team including process modelers, remote sensing experts, field scientists, a project manager, and communications and policy experts.
PhD position on data driven compilation of GHG balance of fenmeadow landscapes in the Netherlands, primarily based on multi-site and airborne eddy covariance measurements of CO2, CH4 and N2O.
PhD position on data driven compilation of GHG balance of fenmeadow landscapes in the Netherlands, primarily based on multi-site and airborne eddy covariance measurements of CO2, CH4 and N2O.
PhD position on data driven compilation of GHG balance of fenmeadow landscapes in the Netherlands, primarily based on multi-site and airborne eddy covariance measurements of CO2, CH4 and N2O.