-
, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
-
and colleagues working with theory that will complement your work with density functional theory, phase-field simulations, and finite element modelling. Qualified applicants must have: Enthusiasm
-
understanding of combustion and engines. Knowledge of advanced combustion concepts is a merit but not a prerequisite. Practical experience of engine operation in a lab is a merit. Knowledge of control theory is a
-
cement based on literature, theory, and experiments. Optimization of composition with other waste materials. Thermodynamic modelling and experiments with advanced technologies are used. Development of a
-
collaboration that covers all aspects of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior
-
Professor Elena Pagnin at the Department of Computer Science and Engineering at Chalmers University. Responsibilities and qualifications The focus of the PhD project is on advancing the theory and practice
-
of mechanics, including mechanical properties of materials, strength and vibration analyses, thermodynamics, fluid mechanics, safety theory and control engineering. The research under the section of Materials
-
problem-solving skills, with a solid foundation in Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous