Doktorand inom maskininlärning för integrerad resurssystemanalys
Core
Developing machine learning methods to generate workflows for exploring uncertainties and broad scenario spaces in large, detailed integrated resource models for energy and environmental systems.
Role type
PhD researcher (Machine Learning for Integrated Resource System Analysis)
Builds
Customized modeling solutions for integrated resource planning in developed and developing countries.
Domain
Energy systems, Environmental systems, Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Integrated resource system modeling, Energy technology, Data processing, Scenario analysis
Preferred skills
Stakeholder engagement, Capacity building activities, International collaboration
Responsibilities
Develop ML workflows for uncertainty exploration, Engage with authorities and stakeholders in target contexts, Participate in capacity development activities
Seniority
PhD Candidate (Researcher)
