Ph.D. Research Assistantship
Dr. Yi Qi’s lab (www.qispatial.com) at the University of Nebraska Lincoln (UNL) is seeking 1-2 motivated Ph.D. students to conduct interdisciplinary research on spatial science and natural resources. Dr. Qi’s lab is interested in environmental applications of geospatial technology and data, which address impacts of climate and land use changes, environmental sustainability and ecosystem services. Current research is focused on cross-scale (from the field to the space) characterizing and modeling ecosystem processes and structure, especially vegetation functional traits, plant diversity and ecosystem production by using remote sensing (e.g. imaging spectroscopy), GIS, and spatial data science.
We are especially looking for students with backgrounds or interests in the following topics:
Salary
12 month/per stipends with health insurance and tuition waiver (student is responsible for fees). Funding is available for three years with potential continuous funding, subject to performance.
Start Date
August 1, 2019 (classes begin August 26, 2019)
Qualifications
M.S. in natural resources, ecology, geography, or closely related field. Specialization or coursework in Remote Sensing/GIS is required. Previous programming and quantitative analysis background are very helpful.
To Apply
Applicants must create a single document (e.g., a Word or pdf document) and the name of the file must contain the applicant’s first and last name. Application document must include:
The University of Nebraska is committed to a pluralistic campus community through affirmative action, equal opportunity, work-life balance, and dual careers. See https://www.unl.edu/equity/notice-nondiscrimination
Dr. Yi Qi’s lab (www.qispatial.com) at the University of Nebraska Lincoln (UNL) is seeking 1-2 motivated Ph.D. students to conduct interdisciplinary research on spatial science and natural resources. Dr. Qi’s lab is interested in environmental applications of geospatial technology and data, which address impacts of climate and land use changes, environmental sustainability and ecosystem services. Current research is focused on cross-scale (from the field to the space) characterizing and modeling ecosystem processes and structure, especially vegetation functional traits, plant diversity and ecosystem production by using remote sensing (e.g. imaging spectroscopy), GIS, and spatial data science.
We are especially looking for students with backgrounds or interests in the following topics:
- Remote sensing instrumentation and data analysis at field, airborne and satellite scales;
- Ecology and plant-environment interaction
- Geographic information systems and spatial data analysis
Salary
12 month/per stipends with health insurance and tuition waiver (student is responsible for fees). Funding is available for three years with potential continuous funding, subject to performance.
Start Date
August 1, 2019 (classes begin August 26, 2019)
Qualifications
M.S. in natural resources, ecology, geography, or closely related field. Specialization or coursework in Remote Sensing/GIS is required. Previous programming and quantitative analysis background are very helpful.
To Apply
Applicants must create a single document (e.g., a Word or pdf document) and the name of the file must contain the applicant’s first and last name. Application document must include:
- A cover letter that articulates their interest pursuing an advanced degree
- Curriculum Vitae or Resume
- Unofficial transcripts
- Unofficial general GRE scores
- List of three references and their email addresses
The University of Nebraska is committed to a pluralistic campus community through affirmative action, equal opportunity, work-life balance, and dual careers. See https://www.unl.edu/equity/notice-nondiscrimination