Research Engineer / Scientist I - Environmental Remote Sensing

Michigan Technological University - Ann Arbor, MI

Part-time,Full-time - Entry Level

Onsite - Ann Arbor, MI

Educational Services

About the position

The Research Engineer / Scientist I - Environmental Remote Sensing position at Michigan Tech Research Institute focuses on applying remote sensing and geospatial analysis to address governmental and societal needs through sponsored research. The role requires expertise in remote sensing theory, particularly Synthetic Aperture Radar (SAR), and involves developing proposals, conducting fieldwork, and contributing to various environmental research projects.

Responsibilities

• Participate in research projects applying remote sensing and geospatial analysis to solve project tasks.
• Contribute as a team member on multi-disciplinary research projects.
• Troubleshoot issues in data processing and analysis to ensure valid data collection.
• Evaluate and apply results from data collected and research projects.
• Contribute technical expertise to conference presentations, journal articles, and technical reports.
• Participate in fieldwork in remote environments following data collection protocols.
• Contribute to competitive proposals for remote sensing research projects.
• Assess and implement safety measures and training in fieldwork.
• Commit to continuous improvement strategies in everyday work.

Requirements

• Master's degree or higher in remote sensing, geospatial technology, geography, earth science, ecology, or closely related field.
• Experience with algorithm development and data processing using Synthetic Aperture Radar (SAR).
• Proficiency in remote sensing data analysis using software tools like ERDAS Imagine or Google Earth Engine.
• Practical knowledge of Python or comparable programming languages.
• Coursework in higher-level math, statistics, or remote sensing.
• Demonstrated organizational ability and attention to detail.
• Experience in preparing and contributing to competitive research proposals.

Nice-to-haves

• Experience with statistical analysis software (SAS or R).
• Experience in a remote sensing and/or geospatial research environment.
• Background in mathematics and physics underlying Synthetic Aperture Radar (SAR).
• Experience with managing large geospatial datasets.
• Familiarity with machine learning techniques.
• Experience with advanced computational systems for large datasets.
• Experience with fieldwork protocols.

Benefits

• Negotiable salary based on experience
• Equal opportunity employer
• Training in safety, anti-harassment, data security, and Title IX