Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, electrochemistry, and materials science, with the added dimension of collaboration with an industrial partner who will evaluate materials in device-relevant conditions. Job description Design, develop, and optimize
-
research leading to academic publications. The position is intended for a duration of 4 years. The optimal starting date for this position is September 2026. Profile As the ideal candidate for this position
-
-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine learning, optimization
-
) for municipalities; Optimizing building-level energy demand and supply Extend and customize the frameworks according to the research questions and project needs. Conduct scenario analyses to explore pathways
-
" - Locational optimization of data centers in multi-energy systems, led by Dr. Fabian Heymann, Senior Researcher at ESA. The proposed research project will develop and apply a transformative energy systems and
-
the molecular to the scale of the systems. Our work combines process analysis and system modeling to design optimal new technologies and transition pathways simultaneously. To holistically evaluate
-
the most important gas for high-voltage switchgear. Its global warming potential is 23‘500 times higher than that of CO2 and world-wide efforts are underway to develop and optimize equipment with
-
ongoing projects on fermentation, as well as assessment and optimization of new raw materials for food use. The work includes developing improved analytical methods for the analysis of these components and
-
-stakeholder collaboration across phases to improve decisions. Methods may include AI/ML (incl. LLMs), XR, robotics, simulation, optimization, or others that fit your research question. We welcome foundational
-
optimal new technologies and transition pathways simultaneously. To holistically evaluate the environmental impacts of processes and energy systems, we develop predictive methods for Life Cycle Assessment