We are currently recruiting 1 graduate student (M.S. level) to join the lab in Jan 2022 or Fall 2022!
M.S. position: Streamwater quality resilience in the Kansas River
In collaboration with the recently funded NSF Critical Zone Network Big Data Cluster, we are recruiting one M.S. student to join our group at the University of Kansas (KU) to study patterns and drivers of water quality resilience in the Kansas River. Using a combination of long-term data and high-frequency sensor networks, this project will use event-scale streamwater chemistry data to explore the effects of critical zone structure and climate on nutrient export, and explore thresholds in resilience in response to disturbances (e.g. hydrologic forcings, land use change). This student will join a collaborative, interdisciplinary team of scientists from 8 institutions across the US who are using Big Data tools to understand how the critical zone shapes resistance and resilience to environmental change.
Ideal candidates for this position will have previous research experience (lab, field, or computer-based) and data analysis experience (e.g. R, Matlab, statistics). This student will be admitted through the Department of Geology at KU.
General information:
The student will be housed at the Kansas Geological Survey, a research and service center at the University of Kansas. This position is fully funded for two years and includes summer support. Research in the Seybold lab is inherently interdisciplinary and we welcome students with backgrounds across the natural sciences (biology, geology, earth and environment science, etc.). The candidate should be highly self-motivated and have a strong interest in being part of a collaborative research team. Our lab is committed to increasing representation of women and minorities in science and encourages candidates from diverse backgrounds to apply.
To inquire about these positions, please contact Dr. Erin Seybold at erinseybold@ku.edu by October 15, 2020 with the following attachments: 1) A cover letter describing your interest in the position, your background, and desired start date, 2) Resume/CV, 3) Contact information for two professional references, and 4) unofficial transcripts. Applications will be considered for a Jan 2022 or Fall 2022 start date.
For more information on the lab’s research activities, check out our Research page.
M.S. position: Streamwater quality resilience in the Kansas River
In collaboration with the recently funded NSF Critical Zone Network Big Data Cluster, we are recruiting one M.S. student to join our group at the University of Kansas (KU) to study patterns and drivers of water quality resilience in the Kansas River. Using a combination of long-term data and high-frequency sensor networks, this project will use event-scale streamwater chemistry data to explore the effects of critical zone structure and climate on nutrient export, and explore thresholds in resilience in response to disturbances (e.g. hydrologic forcings, land use change). This student will join a collaborative, interdisciplinary team of scientists from 8 institutions across the US who are using Big Data tools to understand how the critical zone shapes resistance and resilience to environmental change.
Ideal candidates for this position will have previous research experience (lab, field, or computer-based) and data analysis experience (e.g. R, Matlab, statistics). This student will be admitted through the Department of Geology at KU.
General information:
The student will be housed at the Kansas Geological Survey, a research and service center at the University of Kansas. This position is fully funded for two years and includes summer support. Research in the Seybold lab is inherently interdisciplinary and we welcome students with backgrounds across the natural sciences (biology, geology, earth and environment science, etc.). The candidate should be highly self-motivated and have a strong interest in being part of a collaborative research team. Our lab is committed to increasing representation of women and minorities in science and encourages candidates from diverse backgrounds to apply.
To inquire about these positions, please contact Dr. Erin Seybold at erinseybold@ku.edu by October 15, 2020 with the following attachments: 1) A cover letter describing your interest in the position, your background, and desired start date, 2) Resume/CV, 3) Contact information for two professional references, and 4) unofficial transcripts. Applications will be considered for a Jan 2022 or Fall 2022 start date.
For more information on the lab’s research activities, check out our Research page.
