Assistant Scientist

University of Miami; Florida; On-site; USD 80,000 - 120,000; Full time

Job summary

The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) at the University of Miami invites applications for an Assistant Scientist position focused on validating and improving numerical forecast systems (HAFS), via enhanced data assimilation and large-scale nudging. The successful candidate will analyze results, present findings at meetings, and publish in journals, working closely with NOAA's HRD at AOML.

A Ph.D.

Qualifications

• Ph.D. in Atmospheric Science or related field
• At least 1 year of post-doctoral experience
• Experience with data assimilation for tropical cyclones
• Strong programming and scientific communication skills
• Experience with AI model output is a plus

Responsibilities

• Validate and improve HAFS forecasts via data assimilation and large-scale nudging techniques
• Analyze and interpret results from experiments
• Present findings at scientific meetings
• Publish results in scientific journals
• Collaborate with NOAA HRD at AOML

Skills

Data assimilation for tropical cycloes

Analysis of tropical cyclone model

Programming

Scientific communication

AI model output experience

Education

Ph.D. in Atmospheric Science or related field

Job description

The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the University of Miami (UM) invites applications for an Assistant Scientist position that involves validation and improvement of numerical model forecasts from the Hurricane Analysis and Forecast System (HAFS), through improvements to data assimilation and large-scale nudging techniques. He or she will also be responsible for analyzing and interpreting the results, for presenting findings at scientific meetings and for publishing the results in scientific journals.

The work will be done in close collaboration with scientists in the Hurricane Research Division (HRD) at the National Oceanic and Atmospheric Administration's (NOAA) Atmospheric Oceanographic and Meteorological Laboratory (AOML).

Applicants must have a Ph.D. in Atmospheric Science or in a related field and at least one year of relevant post-doctoral experience. The successful candidate should have experience with one or more of the following: performing data assimilation for tropical cyclones, analysis of tropical cyclone numerical model output, and analysis of tropical cyclone observational data. Strong programming and scientific communication skills are required. Experience and familiarity with AI model output would be helpful. Finally, familiarity with the areas of research commensurate with the general activities at NOAA’s Hurricane Research Division at AOML would be particularly valuable.

A current CV, a statement of interest, and the names of 3 people who can provide letters of recommendation are required.

The University of Miami is recognized as one of the nation’s premier research institutions and academic health systems and is among the largest employers in South Florida.

With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.

We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

Job Status: Full time

Employee Type: Staff