Revised Postdoctoral Scholar, Interdisciplinary Data Science, College of Engineering [R0144891]

Nevada System of Higher Education

2d

About The Position

The Howard R. Hughes College of Engineering at UNLV invites applications for a full-time, 12-month, Postdoctoral Scholar of Interdisciplinary Data Science, commencing as early as September 1, 2025. The position is renewable for up to two additional years (3 years total), pursuant to availability of funds. This postdoctoral scholar will work on research topics related to AI-Driven Wildfire Detection Using Drones and Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI-Based Wildfire Smoke and Air Quality Monitoring; Deep Learning for Post-Wildfire Damage Assessment.

Requirements

• PhD Degree in Computer Science, Electrical Engineering, Environmental Engineering, Geospatial Science, Data Science, Computer Engineering, or a closely related field, with an emphasis on machine learning, AI, remote sensing, computer vision, or interdisciplinary data science applications to environmental challenges such as wildfire management, from an accredited college or university as recognized by the United States Department of Education and/or the Council on Higher Education Accreditation (CHEA)
• Demonstrated experience in conducting independent research, managing large datasets, and developing advanced analytical models for real-world environmental applications
• Credentials must be obtained prior to the start date

Nice To Haves

• Experience applying machine learning (ML) or artificial intelligence (AI) techniques, especially to environmental data
• Proficiency in remote sensing and geospatial data analysis
• Expertise in computer vision and image analysis, particularly for drone or satellite imagery
• Familiarity with wildfire modeling, risk assessment, or disaster management
• Strong programming skills in Python, Matlab, R, or other relevant languages
• Experience working with large datasets and high-performance computing (HPC) systems
• Proven track record of interdisciplinary collaboration on research projects
• Strong publication record in relevant fields such as environmental science, data science, or engineering
• Excellent communication and teamwork skills
• Prior experience mentoring or supervising graduate students or research assistants

Benefits

• Comprehensive health insurance including medical, dental, and vision
• No state income tax (if applicable)
• Comprehensive retirement plan and voluntary benefits programs
• Grant in Aid waives the non-resident fee for the employee and their eligible dependents at Nevada System of Higher Education (NSHE) schools
• Connect with colleagues with shared interests
• Employee recognition and appreciation programs
• Personal and professional development opportunities
• Discounted tickets for UNLV athletics
• Discounted tickets for UNLV Performing Arts Center and Nevada Conservatory Theatre
• Statewide employee purchase program discounts
• RebelCard discounts on and off campus
• Wellness programming for all UNLV faculty and staff at no cost

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 501-1,000 employees