Postdoctoral Research Associate in Geospatial AI (GeoAI) and Forest Health

About the role

The successful candidate will contribute to cutting-edge research projects focused on using artificial intelligence and geospatial technologies to enhance forest health monitoring and management.

Responsibilities

• Develop and implement machine learning models for forest health prediction
• Collaborate with interdisciplinary teams to integrate geospatial data into AI models
• Conduct fieldwork to collect and validate data
• Present findings at scientific conferences and publish in peer-reviewed journals

Requirements

• PhD in Computer Science, Engineering, or related field
• Experience with geospatial data analysis and machine learning
• Strong programming skills in Python/R
• Excellent communication and collaboration skills

Qualifications

• Passionate about environmental conservation
• Ability to work independently and as part of a team
• Interest in forest ecology and remote sensing

Skills

• Geospatial analysis
• Machine learning
• Data visualization
• Python/R programming

Benefits

• Competitive salary package
• Flexible working hours
• Professional development opportunities

Pay

• $75,000 - $85,000 annually

Schedule

• Full-time

Contact

To apply, please fill out the form below and indicate your preferred method of communication. We look forward to hearing from you!

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