Naval Research Laboratory Monterey Bay, CA

Laboratory Coordinator:
Erica M. Deschak 
Human Resources Coordinator
Code 1810 Building 72 North
4555 Overlook Avenue, SW
Washington, DC 20375-5320

  • All participants must be U.S. citizens. NRL will not accept Permanent Residents or Dual Citizens as applicants for the ONR Summer Faculty Program.


  • As the Navy’s full-spectrum corporate laboratory, NRL conducts a broadly based, multidisciplinary program of scientific research and advanced technological development directed toward maritime applications of new and improved materials; techniques; equipment; systems; ocean, atmospheric, and space sciences; and related technologies. Specific leadership responsibilities and expertise are maintained in the following areas:


  • Primary in-house research in the physical, engineering, space and environmental sciences;


  • Broadly based exploratory and advanced development programs in response to identified and anticipated Navy needs;


  • Broad multidisciplinary support to the Naval Warfare Centers;


Research Areas and Topics for Employment Opportunities

Data Assimilation 
We are seeking candidates to develop, adapt and implement techniques for our global and mesoscale modeling systems to (1) utilize of new types of atmospheric data (e.g., satellite, Doppler radar, high resolution mesoscale observations, unmanned platforms, observations of opportunity); (2) initialize models with cloud and moisture information (including soil moisture and precipitation); (3) directly assimilate all-sky MW and IR radiances; (4) improve the initialization of tropical cyclones including aircraft reconnaissance data (e.g., dropsondes, SFMR, tail Doppler radar); (5) assimilate aerosol and trace constituents; (6) develop coupled data assimilation for Earth System of system that includes atmosphere, ocean, land, sea-ice, waves, upper-atmosphere, aerosols and trace gases, and improved land surface components; and (7) adapt the MET/MET+ analysis and forecast diagnostics and verification package. The candidates must have a background in at least two of the following areas: data assimilation theory & applications, remote sensing theory & applications, and radiative transfer.

Global Modeling 
We are seeking candidates to: (1) develop and test improvements to the dynamics and physical parameterizations in the Navy global modeling system (NAVy Global Environmental Model, NAVGEM); (2) develop, and evaluate the fully coupled air-ocean-ice-wave Navy Earth System Prediction Capability (ESPC); (3) assist in global model diagnostics; (4) conduct basic research in global dynamics, predictability, sub-seasonal to seasonal prediction, extended range prediction of tropical cyclones, and coupled processes; and (5) test, evaluate and implement improvements to our global ensemble forecasting system. Candidates must have a background in numerical modeling that can be applied to a global prediction system and/or a background in ensemble forecast systems.

Mesoscale Modeling 
We are seeking candidates to: (1) develop and evaluate new numerical methods and parameterizations for non-hydrostatic microscale, mesoscale, and global modeling systems, which includes atmosphere and ocean components (COAMPS, COAMPS-TC); (2) develop a next generation non-hydrostatic unified global and limited-area prediction system (NEPTUNE); (3) test and evaluate high-resolution air-ocean coupled systems (COAMPS, COAMPS-TC, NEPTUNE); (4) conduct basic research studies of microscale and mesoscale dynamics, tropical cyclones, Arctic processes and prediction, mesoscale predictability, the parameterization of physical processes on the mesoscale and microscale, air-sea coupled processes, and the coupling between physical and dynamical processes; (5) assist in regional and next-generation model development, diagnostics, and evaluation. Candidates must have a background in numerical modeling that can be applied to a non-hydrostatic mesoscale prediction system.

Aerosol/Radiation Modeling 
We are seeking candidates to: (1) develop and test our aerosol forecast models , including model initialization, data assimilation, and transitioning the models to operations; (2) participate in Navy and international field projects to collect and interpret in-situ and remote measurements of aerosols, radiation, and clouds; (3) distribute real-time aerosol observations, global, and regional aerosol forecasts and validation via the internet to Navy and academia; and (4) integrate the atmospheric aerosol impact on the performance of Naval optical sensors and high energy laser systems. Candidates should have a background in one or more of the following areas: numerical weather prediction, data assimilation, chemical transport modeling, measurement and analysis of the microphysical and optical properties of tropospheric aerosols, instrumentation, radiation, radiative transfer calculations and satellite aerosol retrievals.

Decision Systems 
We are seeking candidates to develop and validate high-resolution analysis, nowcasting, prediction, database management, operations research, information delivery systems in a distributed computing environment. Candidates should have a background in one or more of the following areas: on-scene data assimilation, data fusion of on-scene unconventional observations, numerical weather prediction, "through the sensor" technology, radar remote sensing, radar meteorology, and data processing and post-processing. We are also interested in computer science candidates who have a background in application system development, database development, web technology applications, and information delivery methodologies. In addition, candidates with operations research, optimization, and machine learning backgrounds are encouraged to apply. We are interested in weather impact on operations, associated decision guidance for routing and asset allocation, and evaluation of product in terms of user satisfaction. Candidates should be able to communicate effectively with end users and work with team members to facilitate a spiral development and transition process.

Satellite Meteorological Applications 
We are seeking candidates to assist in (1) exploring multi-sensor and model data fusion capabilities based on next-generation passive and active observing system, (2) developing both novel and innovative algorithms and techniques for retrieval of cloud, rainfall, and aerosol properties, (3) developing artificial intelligence applications for creation and blending satellite data products, (4) integrating these activities within the framework of numerical weather prediction model validation, parameterization improvements, and data assimilation, and (5) tactical and operational applications and delivery of satellite data products. Candidates must have a background in satellite remote sensing theory, radiative transfer theory, aerosol optical properties, satellite meteorology, satellite operations and sensor development, and computer sciences/artificial intelligence.