Posted 4mo ago

Research Associate-Fixed Term

@ Michigan State University
East Lansing, Michigan, United States
HybridFull Time
Responsibilities:conducting research, analyzing data, writing publications
Requirements Summary:PhD with quantitative background; expertise in machine learning, remote sensing, geospatial analysis; Google Earth Engine; satellite data processing; at least one first-authored publication; strong writing and collaboration.
Technical Tools Mentioned:Google Earth Engine, Machine Learning, Satellite Data Processing, Remote Sensing, Python
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Job Description

Position Summary


Michigan State actively promotes a dynamic research and learning environment in which qualified individuals of differing perspectives and cultural backgrounds pursue academic goals with mutual respect and shared inquiry. 


The position supports research on forecasting agricultural production and yields using geospatial data, machine learning, and ground-based measurements to understand the underlying mechanisms and develop predictive capabilities. The project aims to apply deep learning and artificial intelligence to make predictions using imperfect data and partial knowledge, leveraging their ability to continuously learn and adapt for improved forecasting. 


Required skills and experience include:



  • Expertise in machine learning and Google Earth Engine

  • Proficiency in satellite data processing and analysis

  • Knowledge and experience with flux measurements in agricultural systems

  • A strong track record of high-quality publications

  • Willingness to continue to write research articles


Equal Employment Opportunity Statement


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.


Required Degree


Doctorate


Minimum Requirements


The successful candidate is required to have a PhD with a quantitative background by the effective date of hire.


The required degree must be in the fields of agricultural science, machine learning, remote sensing of environment, ecosystem analysis, micrometeorology, quantitative modeling, or relevant fields (agriculture, ecology, natural science, etc.). 


Must have at least one first authored publication in the peer reviewed literature. 


Desired Qualifications


Experience with interests and experience in quantitative analysis and field research. 



  • Experience with processing satellite data

  • Knowledge on ecosystem processes

  • Good oral and written communication skills

  • Ability to work in a team setting


Required Application Materials


The application should include:



  1. full current CV; 

  2. cover letter; 

  3. statement of research interests; 

  4. inclusion statement (a statement addressing how your past and/or present potential contributions to inclusion will advance our programming commitment to cultural responsivity and inclusive excellence; 

  5. the names, positions, and contact information for three referees; 

  6. one or two published journal manuscripts with primary authorship by the applicant. 


Special Instructions



  • Review of applications to begin December 22, 2025

  • Position is expected to begin January 12, 2026

  • For questions please contact Dr. Jiquan Chen at [email protected]


Review of Applications Begins On


12/22/2025


Remote Work Statement


MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.


MSU Statement


Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.