We are seeking a highly motivated and technically skilled Support Scientist to join our team, contributing to the development and enhancement of Global Navigation Satellite System (GNSS) Radio Occultation (RO), GNSS-Reflectometry (GNSS-R) ocean surface wind retrieval, and Polarimetric RO data assimilation using the currently available NCEP Global Model. This position will support key research and operational objectives aimed at improving weather forecasting and Earth system modeling capabilities.
The successful candidate will be integral in advancing the use of GNSS-derived observations in global weather prediction models, focusing on the assimilation of data from GNSS Radio Occultation, GNSS-R, and Polarimetric RO measurements into the NCEP’s cutting-edge global model. Collaboration with international scientific communities and participation in ongoing scientific research will be encouraged.
- GNSS Data Assimilation:
- Implement and optimize the assimilation of GNSS RO, GNSS-R ocean surface wind, and Polarimetric RO data into the JCSDA’s global model to enhance global atmospheric analysis and forecasting.
- Develop and refine algorithms for data processing and model integration, focusing on accuracy, reliability, and computational efficiency.
- Collaboration and Coordination:
- Work closely with NCEP researchers, operational meteorologists, and other scientific partners to ensure seamless integration of GNSS-based data into operational models.
- Participate in international collaborations and data-sharing initiatives.
- Model Development:
- Contribute to the continuous improvement of NCEP's global data assimilation systems by integrating new observational datasets and developing novel data assimilation techniques.
- Test and validate improvements to the model’s performance through extensive evaluation using real-time and historical datasets.
- Research and Publications:
- Conduct original research in the field of GNSS data assimilation, and contribute to high-impact publications in peer-reviewed scientific journals.
- Present research findings at relevant scientific conferences and workshops.
Qualifications
Minimum Requirements:
- Ph.D. in Atmospheric Sciences, Remote Sensing, Physics, or a related field with a focus on GNSS technology or data assimilation.
- Proven experience in GNSS RO, GNSS-R, or related observational systems for atmospheric, oceanic, or surface data assimilation.
- Proficiency in scientific programming (e.g., Python, Fortran, C++) and experience with large-scale data assimilation models.
- Strong understanding of data assimilation techniques and satellite remote sensing data.
- Experience with global weather forecasting models (e.g., JCSDA, GFS, ECMWF).
- Strong analytical and problem-solving skills, with a demonstrated ability to conduct independent research.
Preferred Qualifications:
- Prior experience working with Polarimetric RO data and its integration into global weather models.
- Familiarity with JCSDA’s Unified Forecast System (UFS) or similar global modeling frameworks.
- Experience in collaborative research environments, especially within large scientific teams or national research centers.
- Knowledge of ocean surface wind retrieval techniques using GNSS-Reflectometry.
Skills and Competencies
- Excellent communication skills for disseminating research results in both academic and operational settings.
- Ability to work in multidisciplinary teams and collaborate effectively with researchers across various fields.
- Strong organizational skills, with the ability to manage multiple projects and meet deadlines.
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long Term Disability
- Training & Development
