Department: College of Science

Classification: Post Doc 12 month

Job Category: Postdoctoral Faculty

Job Type: Full-Time

Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)

Location: Fairfax, VA

Workplace Type: Hybrid Eligible

Salary: Salary commensurate with education and experience

Restricted: Yes

Criminal Background Check: Yes

About the Department:

The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center chartered by the provost and affiliated with the College of Science at George Mason University. The mission of the Center is to conduct world-class research in spatial information science and system and provide state-of-art research training to post-doctoral fellows, Ph.D. and Master students in the field. For more information about the center, please visit https://cloud.csiss.gmu.edu/center/

George Mason University College of Science (Mason Science) is committed to advancing access, justice, equity, diversity, and inclusion (AJEDI) throughout our STEM community, including within our hiring and retention practices. At Mason Science, our values include fostering an organizational culture that promotes Anti-Racism, belonging, respect, and civility. We believe that a diversity of opinions, cultures, and perspectives is what provides vibrancy, innovation, and growth to an academic community. By prioritizing inclusive excellence in academics, teaching, research, and global engagement, we strive to attract a diverse pool of faculty and staff who exemplify the Mason Science mission and vision.

About the Position:

The George Mason University, Center for Spatial Information Science and Systems (CSISS) invites applications for two (2) full-time Post-doctoral Research Fellow positions.

These positions are an NSF-funded research project. The primary purpose of the position is to build a digital twin for national-scale field-level crop monitoring, modeling, prediction, and decision support and automation.

Responsibilities:

The two (2) Postdoctoral Research Fellows will focus on building a digital twin for national-scale field-level crop monitoring, modeling, prediction, and decision support and automation.

Additional duties include but are not limited to:

• Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision support and automation;
• Developing agriculture digital twin theory, methods, and systems for smart cropping decisions;
• Publishing and disseminating research at top-tier journals and conferences; and
• Supervising graduate research assistants and student interns.

Required Qualifications:

• Terminal degree in a related field;
• Knowledge of and experience in geospatial information systems, crop modeling, or digital twin; and
• Relevant programming skills.

Preferred Qualifications:

• Experience with full-stack development for decision support systems in the Web environment;
• Experience in software development with Open Source Geospatial software and libraries, e.g. GDAL or other open source geospatial packages under OSGeo;
• Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial information systems, agro-informatic applications, crop modeling, or digital twin;
• Experience in data management and databases;
• A track record that demonstrates the ability to work well with interdisciplinary research teams; and
• Knowledge of Artificial Intelligence/Machine Learning (AI/ML).

Instructions to Applicants:

For full consideration, applicants must apply for Postdoctoral Research Fellow at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a cover letter and CV.

Posting Open Date: May 16, 2024

For Full Consideration, Apply by: May 31, 2024

Open Until Filled?: Yes