Soil Spectroscopy and Chemometrics Co-op
Core
Develop and validate calibration models using FTIR spectroscopy and machine learning to predict soil physical and chemical properties at scale.
Role type
Co-op Soil Spectroscopy and Chemometrics Engineer
Builds
Calibration models connecting spectral data to agronomic insights
Domain
Agriculture + Chemometrics + Spectroscopy
Deliverable
production ML models
Required skills
Fourier-transform infrared (FTIR) spectroscopy, chemometrics (PLSR), machine learning (Random Forest, CNN), spectral preprocessing, soil science fundamentals, Python, R
Preferred skills
Advanced spectroscopy research experience, familiarity with calibration transfer methods, experience with USDA KSSL/OSSL libraries
Technologies
FTIR, PLSR, Random Forest, CNN, Python, R
Responsibilities
Build and refine calibration models for soil properties, apply spectral preprocessing techniques, work with large soil spectral libraries, develop and compare ML approaches, collaborate with multidisciplinary teams
Seniority
Co-op (Ph.D. student)