Scientist III

We seek a creative and highly motivated scientist to conduct innovative research that integrates machine learning (ML), artificial intelligence (AI), and advanced data assimilation techniques into next-generation analysis and forecasting systems for numerical weather prediction.

Requirements

• Ph.D. degree within the last 5 years or expected within the next 6 months in atmospheric science, computer science, statistics, or a related area.
• Solid knowledge in a relevant scientific field, with an ability to apply theories, methods, or frameworks to complex or interdisciplinary problems.
• Understanding of inverse modeling, scripting languages (e.g., python/shell), and satellite meteorology or retrievals.
• Demonstrated ability to work independently and collaboratively as part of a research team, excellent time management and organization skills, and effective written and oral communication skills.

Benefits

• Medical, dental, vision, retirement, and life insurance
• Tuition Assistance, time off allowance to attend classes, and other professional development opportunities
• 10% contribution to retirement account, 100% fully vested on day one
• 20 days of personal time off each year (prorated for less than full-time positions)
• 10 paid holidays
• 12 weeks of paid parental leave
• Short-term medical leave paid at 100% of regular salary
• EcoPass for local Colorado residents to use the Denver and Boulder-area transit system at no cost