Forecast Verification & Observation Monitoring Lead

ECMWF

Reading

Hybrid

GBP 90,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Hybrid working

Job summary

ECMWF in Reading, UK, seeks a Team Leader for Forecast Verification and Observation Monitoring to provide scientific and managerial leadership for a 14-person team. You will align evaluation evidence with operational decisions, oversee cross-ECMWF projects, and drive development across physics-based, data-driven and AI-based forecasting systems.

The role involves collaborating with international partners, data providers and member states, shaping approaches to verification, and delivering

Qualifications

  • Advanced degree or equivalent professional experience in a relevant field.
  • Significant leadership experience in weather, Earth system or environmental prediction.
  • Strong knowledge of forecast verification and/or observation monitoring.
  • Experience engaging with users and stakeholders to translate needs into developments.

Responsibilities

  • Lead and manage the team, setting objectives and priorities, ensuring delivery and development of team members.
  • Coordinate verification and monitoring activities and shape scientific/technical direction.
  • Guide design and development of operational systems for verification and observation monitoring.
  • Oversee reliable delivery and production of authoritative evaluation reports.
  • Support evolution of physics-based and AI-based forecasting systems and foster innovation.
  • Represent ECMWF externally and contribute to Copernicus, Destination Earth and related activities.

Skills

Leadership
Forecast verification
Observation monitoring
Team management
English proficiency

Education

Advanced degree in a relevant field

Job description

ECMWF in Reading, UK, seeks a Team Leader for Forecast Verification and Observation Monitoring to provide scientific and managerial leadership for a 14-person team. You will align evaluation evidence with operational decisions, oversee cross-ECMWF projects, and drive development across physics-based, data-driven and AI-based forecasting systems.

The role involves collaborating with international partners, data providers and member states, shaping approaches to verification, and delivering

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