Lead Scientist — Extreme Weather & AI Forecasting

Berkeley Lab; Berkeley (CA); On-site; USD 173,256 - 242,544; Full time

Benefits offered by this job

Exceptional health and retirement benefits

Tuition Assistance Program

Winter Holiday Shutdown

Parental bonding leave

Pet insurance

Job summary

Berkeley Lab is seeking a Staff Scientist to lead studies in extreme weather and predictability using AI and ML. The role includes managing the CASCADE Scientific Focus Area, and requires a Ph.D. in a related field along with over 10 years of research experience. Candidates should possess strong leadership skills, an outstanding track record in securing grants, and excellent communication abilities. The position offers a competitive salary ranging from $173,256 to $242,544, with emphasis on a collaborative and interdisciplinary approach.

Qualifications

• 10+ years of relevant research experience.
• Demonstrated excellence in securing external funding as PI and/or co-PI.
• Proven experience leading interdisciplinary collaborative research teams.

Responsibilities

• Serve as Laboratory Research Manager for the CASCADE SFA.
• Apply AI/ML to advance understanding of extreme weather.
• Secure funding through proposals as PI/co-PI.

Skills

Leadership in climate and atmospheric science

AI/ML applications in forecasting

Interdisciplinary research

Mentoring early-career scientists

Excellent communication skills

Education

Ph.D. in physics, atmospheric science, earth science, or related field

Job description

Berkeley Lab is seeking a Staff Scientist to lead studies in extreme weather and predictability using AI and ML. The role includes managing the CASCADE Scientific Focus Area, and requires a Ph.D. in a related field along with over 10 years of research experience. Candidates should possess strong leadership skills, an outstanding track record in securing grants, and excellent communication abilities. The position offers a competitive salary ranging from $173,256 to $242,544, with emphasis on a collaborative and interdisciplinary approach.