[ES_JOBS_NET] Fwd: OOI/CGSN Data Team Job Posting

Gillian Galford gilliangalford at gmail.com
Tue Dec 6 08:48:37 MST 2022


Hello, all,



We are recruiting two funded PhD positions at the University of Vermont to
explore how Earth Observations (e.g., other remote-sensing data) can reveal
connections between ecosystems and socioeconomic outcomes, with a focus on
justice.



Please help us spread the word!



PhD students will be supervised by the three faculty members  at UVM’s
Rubenstein School of Environment and Natural Resources:  Gillian Galford
<https://www.uvm.edu/rsenr/profiles/gillian_galford>, Taylor Ricketts
<https://www.uvm.edu/gund/profiles/taylor-ricketts>, and Rachelle Gould
<https://www.uvm.edu/rsenr/profiles/rachelle_gould>. UVM faculty members Bindu
Panikkar <https://www.uvm.edu/rsenr/profiles/bindu_panikkar> and Brendan
Fisher <https://www.uvm.edu/gund/profiles/brendan-fisher> are also
collaborators and will interact with students. The positions are part of a
team project “Socioeconomic assessments: enhancing and measuring the value
of Earth Observations (EO) for informing decisions,” which involves
collaboration with faculty at five other universities and 15 non-academic
partners.



The students will contribute to three research topics:

   - *Climate change, human migration, and environmental justice: *EO data
   empowers modeling of climate change and its biophysical impacts, but has
   lagged behind in informing climate change migration and adaptation. EO can
   be better leveraged to improve understanding of vulnerabilities, impacts,
   and opportunities for adaptation. (This work builds on Galford’s work,
   e.g., Ren et al. 2022
   <https://www.liebertpub.com/doi/full/10.1089/env.2021.0063> and Clark et
   al. In Press, Dynamics in Human Systems.)
   - *Biocultural values and environmental justice:* EO data have been used
   very little in concert with biocultural values such as sacredness or
   cultural identity. EO may be able to improve understanding of relationships
   between biodiversity and biocultural and nonmaterial values, especially if
   novel “measures of value” (i.e., not only economic measures) are employed.
   (This work builds on Gould’s work, e.g., Gould et al. 2019
   <https://link.springer.com/article/10.1007/s11625-019-00721-9> and Gould
   et al. 2020
   <https://academic.oup.com/bioscience/article/70/12/1093/5956459>).
   - *Health and environmental justice:* Nature experience can improve
   mental and physical health, especially in cities, but   crucial questions
   remain about dose response, types of outdoor experiences, and differences
   among cultural groups. EO is a promising approach to scaling up and
   generalizing from local studies to answer these questions. (This work
   builds on Ricketts’ work, e.g., Herrera et al. 2017
   <https://www.nature.com/articles/s41467-017-00775-2> and Gourevitch et
   al. 2021 <https://www.nature.com/articles/s41467-021-23905-3>.)



Desired qualifications include: experience with remote sensing data and/or
spatial analysis; experience with research on socioeconomic dimensions of
environmental issues; interest in environmental justice research, and a
commitment to completing an interdisciplinary doctoral degree. Prospective
students need not possess all of these skills, but demonstrate clear
interest in those they don’t already have.



To apply to one of these positions, please:

   1. Send an email to Drs. Ricketts, Galford, and Gould to introduce
   yourself and briefly explain your interest. Please use “Interest in Earth
   Observations PhD Position” as your subject line.
   2. Apply to UVM’s graduate school by Jan 1, 2023, and clearly indicate
   your interest in these positions in your application. Instructions on
   applying to grad school at UVM’s Rubenstein School of Environment and
   Natural Resources are here
   <https://www.uvm.edu/rsenr/applying_rubenstein_school_graduate_program>.



Thank you so much for your interest. We look forward to hearing from
interested prospective students!



Gillian, Rachelle, and Taylor
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