What are the responsibilities and job description for the Senior Scientist for GNSS Radio Occultation (RO) and GNSS-R Data Assimilation position at ERT?
Background
The sensor science and crosscutting technology theme within STAR supports research and development for NOAA's satellite sensor payloads, ensuring data quality and preparing for future instruments. This involves developing mathematical models and algorithms to interpret satellite measurements, enhancing our understanding of Earth's systems and their impact on weather and climate. STAR facilitates the transition of satellite data and technologies from research to applications, enabling end users to make informed decisions. STAR also collects in situ observations for sensor calibration, product validation, and data fusion with satellite measurements, aiding in the development and maintenance of satellite instruments and products while mitigating risks. These efforts help develop and sustain satellite instruments and products while reducing risks.
Job Description
ERT is 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.
Key Responsibilities
- 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.
- 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.
- 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.
- 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.
Requirements
Desired
Education
Ph.D. in Atmospheric Sciences, Remote Sensing, Physics, or a related field with a focus on GNSS technology or data assimilation.
Location
Work is located in College Park, MD with flexile work schedules permitted.
Salary
The salary range for this role is $83,000 - $239,000 / year. This range is a good faith estimate based on similar roles across the organization. ERT uses several factors when extending an offer, including but not limited to, the position's scope and expected duties, a candidate's work experience, education / training, and key skills.
Benefits
All full-time employees are eligible to participate in our flexible benefits package, which includes :
ERT is a VEVRAA Federal Contractor and Equal Opportunity / Affirmative Action employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.
LI-Hybrid
Salary : $83,000 - $239,000
