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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

FortranPythonremote sensing algorithmsmodel developmentnumerical analysisneural networksmachine learningradiative transfer modelsscientific machine learningAI-driven operational retrieval system

Soft Skills

independent workteam collaborationverbal communicationwritten communicationpresentation skills

Certifications

B.S. in Computer ScienceB.S. in Physics