The CW3E machine learning team is recruiting a scientist to work on the development of artificial intelligence (AI) data-driven weather prediction models.
Requirements
- Experience in implementing machine learning methods in weather/climate research, analysis of dynamical model (e.g., WRF) outputs, and publishing research results.
- Thorough skills associated with statistical analysis and systems programming.
- Strong experience in scientific programming, working in a Unix environment, and with scripting languages such as Python, R, or Matlab is highly desirable.
- Thorough skills in analysis and consultation.
- Experience in handling numerical weather prediction model simulations, and developing methods for deterministic and probabilistic predictions of hydrometeorological variables.
- Research skills at a level to evaluate alternate solutions and develop recommendations.
- Experience using common machine learning software (Tensorflow, Keras, PyTorch, Scikit-Learn, etc.) on cloud computing environments (AWS, Azure, etc.).
Responsibilities
- Develop, support, and execute projects of broad scope and complexity that addresses CW3E's objectives, with a focus on modeling, analyzing, and predicting extreme weather and water events.
- Contribute directly to ongoing developments at CW3E in the domain of AI weather modeling and prediction, including novel architecture and ensemble design.
- Develop innovative deep learning-based post-processing methods for quantitative precipitation forecasting (QPF) as well as forecasting other relevant variables, e.g., temperature, integrated water vapor transport (IVT) for the benefit of water management.
- Communicates research findings through peer-reviewed journal publications, conference presentations, technical reports, and other publications, as needed.
- May give technical presentations to associated research and technology groups and management, and represent the organization at national and international meetings, conferences, and committees.
- Supports proposal development and contributes to ongoing efforts on the strategic growth of computing platforms and improvement of data management procedures.
Other
- Bachelor's degree in related area and / or equivalent experience. Master degree or PhD in meteorology, atmospheric sciences, climate science or related field preferred.
- Skills in project management.
- Strong time management skills.
- Demonstrated ability to prioritize tasks and meet deadlines.
- Skills to communicate complex information in a clear and concise manner both verbally and in writing.
