PhD Stipend in CFD modelling of Liquid Green Fuel Combustion under Engine-like Conditions

This PhD stipend position focuses on computational fluid dynamics (CFD) modeling of liquid green fuel combustion under conditions simulating engine environments. The role requires advanced knowledge of CFD techniques, including numerical methods for fluid flow and combustion processes. Candidates should be proficient in using CFD software tools and programming languages commonly employed in simulation, such as C++, Fortran, or Python, to develop and validate combustion models. A strong understanding of thermodynamics, fluid mechanics, and chemical kinetics related to green fuels and combustion phenomena is essential. Experience with engine-like operating conditions, including high pressure and temperature environments, will be beneficial. The position demands analytical skills to interpret simulation data and optimize combustion efficiency and emissions. Familiarity with experimental combustion data and the ability to integrate such data into modeling efforts is advantageous. Candidates are expected to have a solid academic background in mechanical engineering, aerospace engineering, chemical engineering, or a related discipline, with emphasis on energy systems and sustainable fuels. The role involves research-oriented tasks, requiring critical thinking, problem-solving abilities, and effective communication skills to document and present findings. This opportunity is ideal for individuals aiming to contribute to sustainable energy research through advanced CFD modeling techniques in combustion science.