Doctoral student in Innovation Sciences
Core
PhD research on designing, implementing, and adopting circular, sustainable, and renewable energy systems in small- and medium-sized enterprises (SMEs) using innovation science, energy technology, and computer science.
Role type
PhD student in Innovation Sciences (Energy & Environment)
Builds
A model to simulate potential gains from Smart Renewable Energy Systems (SmartRESs) and a proof of concept for SMEs.
Domain
Energy technology, computer science, innovation science, sustainability, SMEs
Deliverable
production ML models | research
Required skills
Data analysis, simulation, modeling, understanding of energy flows, knowledge of innovation adoption barriers and drivers
Preferred skills
Python, R, artificial intelligence, machine learning, digital twins, renewable energy systems, circular economy, industrial transition
Technologies
Python, R
Responsibilities
Map and describe value creation potential of SmartRESs in SMEs, investigate barriers and drivers affecting implementation, develop a simulation model using data from collaborating SMEs, design a proof of concept with project partners
Seniority
PhD student (entry-level research)