At a Glance
- Tasks: Advance ensemble prediction systems and improve model configurations using AI and hybrid approaches.
- Company: Join ECMWF, a leader in weather forecasting and climate science.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and research.
- Why this job: Make a real impact on global weather predictions and climate understanding.
- Qualifications: Experience in ensemble modelling, data analysis, and strong problem-solving skills.
The predicted salary is between 50000 - 60000 £ per year.
ECMWF is seeking a Scientist in the newly-formed Ensemble Modelling Team to advance operational ensemble prediction systems from medium-range to seasonal timescales. The role focuses on improving ensemble configurations, representing model and initial-condition uncertainty, and developing physics-based, AI-based and hybrid approaches.
The successful candidate will design experiments, test upgrades, and prepare training datasets, collaborating with data assimilation, forecast production and users.
Ensemble Forecasting Scientist – AI & Probabilistic in Reading employer: ECMWF
ECMWF is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation in the field of climate science. With a strong commitment to employee growth, ECMWF provides opportunities for professional development through engaging projects and international networking, all while promoting a culture of inclusivity and respect. Located in a vibrant European setting, employees benefit from a hybrid working model that supports work-life balance, making it an ideal place for those passionate about making a meaningful impact in atmospheric monitoring.
