The University of Connecticut (UConn) is pleased to invite applications for a Soil Nutrient Management-Soil Health faculty position in the Department of Plant Science and Landscape Architecture in the College of Agriculture, Health and Natural Resources. This is a tenure-track, 9-month position at the rank of Assistant Professor with 50/50, Research/Teaching appointment. The successful candidate will develop a nationally recognized, externally funded program that integrates research-based outcomes in soil nutrient management and soil health investigations with other strengths in the Department and College related to plant, soil, and environmental health and sustainability of managed agricultural, horticultural, and amenity landscapes. Teaching responsibilities will include two undergraduate courses (Environmental Soils and Soil Fertility) and an alternate year graduate-level course related to the individual's expertise.
- Ph.D. in Soil Science or a closely related discipline.
- Experience with soil chemical and physical analytical procedures and measurements.
- Demonstrated ability to publish original research in scientific peer-review journals.
- Demonstrated ability to communicate original research via presentation to appropriate professional societies and scientific communities.
- Teaching experience.
- A strong background in soil nutrient management, soil health, and measurement of soil health indicators including biological properties.
- Demonstrated ability to synthesize research results in providing science-based recommendations for producers, practitioners, other scientists, and governmental agencies.
- A strong record of peer-reviewed publications in high-impact factor scientific journals covering soil science.
- Teaching experience at the college level with full-class responsibilities.
- Demonstrated ability to write grant proposals, and a record of successful grant outcomes commensurate with the applicant's career level.
- Excellent verbal communication skills.
- Mentoring of undergraduate and/or graduate student research.
- Experience organizing large datasets and analyzing such datasets using non-traditional statistical methods such as logistic regression, Bayesian statistics, or geostatistics.
- Effective communication and collaborative skills with diverse stakeholders from agricultural and non-agricultural backgrounds.
The full position description and application directions can be found at the following link:
The position will be posted on the above website until December 9, 2020