The Research Fellow will contribute to Nadara's participation in Marie Skłodowska-Curie Actions within the Horizon Europe framework
Job Summary
The Research Fellow will contribute to Nadara's participation in Marie Skłodowska-Curie Actions within the Horizon Europe framework.
Key responsibilities include designing AI-enabled methodologies for automated processing of sensor data from wind turbines.
The role bridges early-stage research with industrial application to enhance performance, monitoring, and decision-making in renewable energy operations.
Matching Summary
The Research Fellow will contribute to Nadara's participation in Marie Skłodowska-Curie Actions within the Horizon Europe framework.
Skills & Requirements
Must-have
MSc degree in Applied AI or related field
Enrolled in Doctoral Programme
Python programming with PyTorch and scikit-learn
Experience with time series and sensor data analysis
Knowledge of machine learning and statistical approaches
Nice-to-have
Familiarity with offshore wind systems
Background in structural health monitoring
Prior experience with EU-funded R&D projects
Strong stakeholder engagement skills
Fluency in English spoken and written
Key Requirements
MSc degree in Applied AI, Data Science, Engineering, or Computer Science
Enrollment or eligibility for a Doctoral Programme