Job Description:
• Conducting scenario‑based analyses and developing software to transform polarimetric and lidar simulations into an autonomous, AI‑driven operational retrieval system
• Advancing and optimizing radiative transfer models and simulators
• Applying scientific machine learning techniques to aerosol, ocean, and trace‑gas retrievals
• Leading and contributing to peer‑reviewed publications and presenting at scientific meetings
Requirements:
• B.S. in Computer Science, Physics, or a closely related technical or scientific field
• Programming experience developing and implementing remote sensing algorithms in Fortran and Python
• Experience with model development, numerical analysis, neural networks, and machine learning techniques
• Ability to work independently and within an integrated team of scientists, engineers, and students
• Excellent verbal and written communication skills, with the ability to contribute to peer‑reviewed publications and present at local and global science conferences
Benefits:
• Paid personal and federally recognized holiday leave
• Salary deferrals into a 401(k)-matching plan with immediate vesting
• Tuition reimbursement
• Short/long term disability plans
• A variety of medical, dental, and vision insurance options