Thursday, September 03, 2020

Postdoctoral Research Scientist in Subarctic Wetland Carbon Cycling

Postdoctoral Research Scientist job available – Ecology of coastal wetlands and sub-Arctic carbon cycling


An NSF funded postdoc in the Atwood lab (https://trishaatwood.weebly.com/) at Utah State University is available starting in fall of 2020. The successful applicant will also work closely with the Beard Lab (https://karenhbeard.webs.com/) at Utah State University and the Waring Lab (https://www.waringecologylab.com/) at Imperial College-London. We seek an enthusiastic and inquisitive postdoc who is interested in understanding the role of herbivory, climate change, and wetland ecology and management in affecting carbon sequestration and greenhouse gas (carbon dioxide and methane) exchange in wetlands of the Yukon-Kuskokwim Delta in Alaska. The project will focus on waterfowl impacts on vegetation and implications of atmospheric exchange. This study does not focus on waterfowl themselves but instead on the ecosystem services and values of coastal wetlands in Alaska, knowledge of which is fundamental to conserving these and other coastal systems.


Utah State University is a highly selective, public, land-grant university and is classified as a Carnegie R1 Research University. The main campus is located in Logan, a community of 100,000 people. Logan is 85 miles north of Salt Lake City in scenic Cache Valley, a semi-rural mountain basin with nearby ski resorts, lakes, rivers, and mountains providing many recreational opportunities. The area has a low cost of living and provides a high quality of life. For more information on Logan see http://www.tourcachevalley.com.

Required Qualifications: A PhD in ecology, soil microbiology, biological sciences, biogeochemistry or other closely related environmental science field with quantitative abilities and self-motivation. Required skills: Supervising field crews, programming experience in R, fieldwork experience in ecology, especially in wetlands, experience with LiCORs or other greenhouse gas analyzers, greenhouse gas data analysis. Because of the successful applicant will spend two summers in a remote research camp on coastal western Alaska, we seek applicants with experience driving boats and snowmobiles, and living in remote field sites for extended periods of time. In your cover letter, please describe your experience or willingness to gain these experiences, and live in a remote area.


Review of applications will begin on September 7, 2020 and continue until the position is filled. The appointment will preferably begin on or before January 1, 2021, with an initial commitment of two years, but could be extended contingent upon performance and the availability of funding. A competitive salary and full benefits package will be offered.


In your application, please include:

1. A cover letter that explains how your research and experience aligns with the skills and research activities listed above

2. A CV or resume

3. A list of three professional references and their contact information.

For any questions, contact Trisha Atwood: trisha.atwood@usu.edu

Fall 2021 Graduate Assistantships and Fellowships at University of North Carolina - Chapel Hill

The Department of Geological Sciences at UNC provides full support for graduate students including a 12 month stipend, full tuition support, and health insurance. In addition, there are opportunities for admission fellowships, funded graduate field trips, departmental research funds, and yearly conference travel support! 

The small departmental size at UNC cultivates a collegial and supportive environment. Graduates go on to successful careers in academia, governmental research, or private industries. 

To apply and for more information, please see: https://gradschool.unc.edu/academics/degreeprograms/

Closes: September 30, 2020

Full-time Tenured Position | Environmental Data Sciences Professor

 The Department of Environmental Sciences (EVSC) and the School of Data Science (SDS) at the University of Virginia invite applicants for a full-time tenured position at the level of Associate or Full Professor in the area of Environmental Data Science, with rank commensurate to experience level. We seek applicants whose research and teaching address questions in environmental science using novel approaches to the data cycle to advance knowledge of environmental systems, and to solve problems of societal relevance.  Approaches of interest include, but are not limited to, data acquisition, analytical workflows, and data-driven computational methods (e.g. machine-learning, statistical or simulation approaches). The ideal candidate is data-oriented, has a track record of open collaborative, cross-disciplinary work, and holds a PhD or equivalent in a relevant field.  This position is open to all areas of the environmental sciences but will prioritize data science research and teaching in the hydrologic, atmospheric, or geoscience domains.

The successful candidate will be cross-appointed in Environmental Science and Data Science and is expected to develop an externally funded and internationally recognized research program, manage and mentor a diverse research group, and teach undergraduate and graduate courses.  They will take a central role that bridges and leverages research strengths between both programs and will incorporate data science computation in the undergraduate and graduate curriculum.   Opportunities for collaboration/affiliation with other units in the University include the Environmental Resilience Institute and the Department of Engineering Systems and Environment. Environmental Resilience and Digital Technologies and Society have been named as two of the five priority initiatives in the new university Strategic Plan, emphasizing the importance of this collaboration. 

EVSC, in the College of Arts and Science, was formed in 1970, with research and teaching interests that span Atmospheric Science, Geoscience, Hydrology and Ecology (https://evsc.as.virginia.edu/research).  The School of Data Science is the 12th and newest school at the University of Virginia, formed with the largest gift in the university’s history. The School covers all aspects of the data life cycle and emphasizes interdisciplinary, open, ethical research and education that address societal challenges.  Environmental Data Science is one of the priority areas for the School.

Please apply online at https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-VA/Associate-or-Full-Professor-in-Environmental-Science-and-the-School-of-Data-Science_R0015097  and attach the following required applicant documents:

1- A cover letter, two page maximum, including a summary of research interests and accomplishments, and potential UVA collaboration.

2- A detailed curriculum vitae, including a link to a full ORCID Profile.

3- A one page summary of your five year research plan.

4- A one page statement of teaching philosophy.

5- A one page statement describing your experience working with a diverse student body, as well as your past, present, and/or future contributions to creating/advancing a culture of diversity, equity and inclusion.

Please note that multiple documents can be uploaded in the link referenced above.

Review of applications will start November 1, 2020, but the position will remain open until filled.    

The University will perform background checks on all new faculty hires prior to making a final offer of employment.

For questions about the application process, please contact Rich Haverstrom, Faculty Search Advisor, at  rkh6j@virginia.edu.

The University assists UVA faculty spouses and partners seeking employment in the Charlottesville area.  To learn more about these services, please see http://provost.virginia.edu/dual-career.

The University of Virginia is an equal opportunity/affirmative action employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.  Equity and diversity are essential to academic excellence and a requirement for the provision of beneficial outcomes in the Environmental Data Sciences. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. 

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

Friday, May 22, 2020

Waveform LiDAR concepts and applications for potential vegetation phenology monitoring and modeling: a comprehensive review

Title
Waveform LiDAR concepts and applications for potential vegetation phenology monitoring and modeling: a comprehensive review

Abstract
Researchers continually demonstrated through published literature how LiDAR could create unparalleled measurements of ecosystem structure and forest height. There are a number of studies conducted utilizing waveform LiDAR products for terrestrial monitoring, but those that deal specifically with the assessment of space-borne waveform LiDAR for monitoring and modeling of phenology is very limited. This review highlights the waveform LiDAR system and looks into satellite sensors that could link waveform LiDAR and vegetation phenology, such as the proposed NASA’s Global Ecosystem Dynamics Investigation (GEDI) and the Japanese Experimental Module (JEM)-borne LiDAR sensor named MOLI (Multi-footprint Observation LIDAR and Imager). Further, this work examines the richness and utility of the waveform returns and proposes a spline-function-derived model that could be exploited for estimating the leaf-shooting date. The new approach may be utilized for ecosystem-level phenological studies.

Download the full paper via Geo-spatial Information Science.

Wednesday, April 29, 2020

Postdoctoral Researcher for Environmental Data Science and Deep Learning

The University of Alabama Department of Geological Sciences is recruiting a postdoctoral researcher in the area of environmental data science and machine learning. This postdoc will join a multi-institutional group project focused on monitoring soil erosion in rangelands across the continental US. Research focuses on developing deep learning models of rangeland ecosystem characteristics and soil erosion processes.

Applicants should have a PhD in environmental science, data science, agronomy, hydrology, environmental or agricultural engineering, or a related field. Programming experience is required. Applicants without a PhD but with significant programming experience will be considered.
The position is open immediately and funded for two years conditional on satisfactory performance. This position has the option to work on campus at the University of Alabama in Tuscaloosa or remotely within the United States, with travel to project meetings several times per year.

Interested applicants should send a cover letter, CV, and up to three letters of reference to geology@geo.ua.edu.

Employer:University of Alabama
Location: Tuscaloosa, AL or remote in the United States
Salary: $55,000
Posted: Apr 14, 2020
Closes: May 14, 2020
Discipline: Earth and Space Science Informatics, Hydrology, Interdisciplinary/Other
Career Level: Postdoctoral
Education Level: PhD
Job Type: Full-time
Relocation Cost: No Relocation

PhD Position at University of Texas at San Antonio

The Department of Geological Sciences at University of Texas at San Antonio (under ESE PhD Program) invites applications for a PhD Assistantship Position for the fall of 2020 (or Jan 2021), in the field of Soil Chemistry and Physics. For details of this advertisement, please visit our website at http://www.utsa.edu/geosci/faculty/DattaLab/.

Employe: University of Texas at San Antonio
Location: University of Texas at San Antonio
Posted: Apr 27, 2020
Closes: May 27, 2020
Ref: PhD in Soil Chemistry/Physics
Discipline: Biogeosciences, Geochemistry, GeoHealth, Hydrology, Interdisciplinary/Other
Career Level: Student / Graduate
Education Level: Masters
Relocation Cost: No Relocation
 
Applications are invited for a 3 year-paid fulltime PhD student at the Department of Geological Sciences at University of Texas at San Antonio (under College of Engineering’s Environmental Science and Engineering PhD Program: Website: https://graduateschool.utsa.edu/programs/environmental-science-and-engineering-ph.d/index.html). 
 
The successful candidate will explore soil-water interactions, measuring soil nutrients in field, deploying graphene based sensors in field among other responsibilities. The candidate will work in an interdisciplinary setting at UTSA, under Dr Saugata Datta and could collaborate with five other research groups in this international project: Prof. Suprem Das’s group at Kansas State University, Prof. Biswajit Ray’s group at University of Alabama at Huntsville, Prof. Adrien Chauvet’s group at University of Sheffield in UK, Prof. Natalia Martsinovich at University of Sheffield in UK, and Prof. Duncan Cameron at University of Sheffield in UK. 
 
It is critically important that the candidate has a strong leadership and activecommunication qualities to conduct the research by designing and critically analyzing the results and advocating for achieving the project goals. The candidate should also have excellent writing skills of technical reports and journal papers. An MSc in geological sciences/earth sciences, or relevant masters in engineering fieldsonrelevant topic(s)and/or additional experiences is necessary. 
 
The award of this funding is through a recently funded NSF proposal: “SitS NSF-UKRI: Real-time and Continuous Monitoring of Phosphates in the Soil with Graphene-Based Printed Sensor Arrays”. This award was made through the "Signals in the Soil (SitS)" solicitation, a collaborative partnership between the National Science Foundation, the United States Department of Agriculture National Institute of Food and Agriculture (USDA NIFA) and the following United Kingdom Research and Innovation (UKRI) research councils: 1) The Natural Environment Research Council (NERC), 2) the Biotechnology and Biological Sciences Research Council (BBSRC), 3) the Engineering and Physical Sciences Research Council (EPSRC), and the Science and Technology Facilities Council (STFC). 
 
Application Materials: 
If interested and to follow up on the details of this project and future roles of the PhD student, please send your primary interest letter or email, with one page research philosophy, and detailed curriculum vitae to Prof. Saugata Datta, at UTSA at saugata.datta@utsa.edu. After relevant discussion, you are welcome to apply through the above link.
 
Questions about this position may be directed to Dr Saugata Datta at saugata.datta@utsa.edu, or (210) 458 4752. 
 
UTSA is an equal opportunity/affirmative action employer and actively seeks diversity among its employees.