Postdoc position at the NASA/UTSA Center

MPOWIR Mentoring Physical Oceanography Women to Increase Retention; San Antonio (TX); On-site; USD 52,000 - 68,000; Full time

Job summary

A prominent research center in San Antonio seeks a Postdoctoral researcher focused on coupled Atmospheric/Ocean/POLAR sea ice systems. Ideal candidates will have a Ph.D. in relevant fields and excellent programming skills. The position involves original research, data analytics, and collaboration with institutions like UCLA and NASA. Apply with your CV and research statement to [e-mail].

Qualifications

• Ph.D. in relevant field preferred.
• Excellent programming skills required.
• Experience with modeling (Atmosphere or Ocean) is necessary.
• Python programming; experience with deep learning algorithms is preferred.

Responsibilities

• Conduct original research on coupled Atmospheric/Ocean/Polar sea ice systems.
• Develop data analytic tools and integrate with satellite observations.
• Prepare academic manuscripts describing research results.
• Prepare academic manuscripts describing results.

Skills

Programming skills

CFD and Fluid Dynamics knowledge

Experience with large-scale models

Python programming

Familiarity with deep learning algorithms

Education

Ph.D. in Mechanical Engineering, Geosciences, Atmospheric or Oceanic Sciences

Tools

WRF

Supercomputing

Job description

Overview

Postdoctoral position at the NASA/UTSA Center for Advanced Measurements in Extreme Environments. One-year appointment, extendable to 2 years based on performance. Position available immediately. The UTSA-based work involves collaboration with UTSA, UCLA (Los Angeles), University of Colorado, Boulder, and NASA centers (JPL, GSFC).

Responsibilities

• Conduct original research and model development focused on coupled Atmospheric/Ocean/Polar sea ice systems.
• Develop and apply data analytic tools and integrate models with satellite observations, sensor data, and UAV data.
• Work with state-of-the-art supercomputing facilities and available field measurements and data.
• Prepare academic manuscripts describing results.

Qualifications

• Ph.D. in Mechanical Engineering, Geosciences, Atmospheric or Oceanic Sciences, or related areas (preferred).
• Excellent programming skills; familiarity with large-scale models (Atmosphere, WRF, or ocean models).
• Knowledge of CFD and Fluid Dynamics; experience with modeling (Atmosphere or Ocean) is required.
• Python programming; experience with deep learning algorithms is preferred.

Collaboration and Facilities

Collaborators include researchers from UTSA, UCLA, University of Colorado Boulder, and NASA centers (JPL, GSFC). Access to state-of-the-art supercomputing facilities and relevant data.

How to Apply

To apply, please send your application to [e-mail] including a cover letter, CV, brief research statement, and representative publications.

For questions, please contact Prof. Kiran Bhaganagar, Associate Professor, Department of Mechanical Engineering, University of Texas at San Antonio at email: [e-mail].

Your email address will not be published. Required fields are marked *

Notes

This opportunity is open to all genders and career stages.