Postdoc Predictive Plasma Assisted Combustion: Advanced Kinetic Modeling

• Develop a new generation of plasma-combustion kinetic models by combining state-of-the-art ab initio calculations, experimental measurements, and data-driven methods.
• Establish detailed state-to-state reaction mechanisms for plasma-assisted combustion by integrating first-principles calculations with experimental observations via advanced data assimilation techniques.
• Utilize machine learning methods to identify missing reaction pathways, determine uncertain kinetic parameters, and accelerate the development of extensive reaction networks.
• Focus research primarily on ammonia and hydrogen mixtures as carbon-free energy carriers.
• Methane-based systems will serve as reference cases for model validation.
• The resulting kinetic mechanisms will provide an unprecedented detailed description of non-equilibrium plasma chemistry and vibrationally excited species.
• Form the basis for state-of-the-art state-to-state models for plasma-assisted combustion simulations.

• Doctorate in engineering sciences, chemistry, physics, or applied mathematics, with a specialization in chemical kinetics, combustion, fluid dynamics, or plasma physics.
• Experience with numerical simulations, excellent computational skills, and strong expertise in programming (Fortran, Python, and/or C++).
• Interest in fluid dynamics, chemical kinetics, and data-driven modeling.
• Excellent oral and written English language skills.
• Team player capable of working independently and in an international research context.

Preferences.

• Experience with CFD software such as Ansys Fluent or OpenFOAM.
• Experience with plasma-assisted combustion or related plasma physical applications.

• The position is offered by a faculty of engineering sciences, department of applied mechanics, research group Thermodynamics and Fluid Mechanics, at a public educational institution.
• The institution is a member of an alliance of like-minded European universities.
• The institution guarantees an open, involved, and diverse workplace and offers opportunities to further develop your career.
• Benefits include extensive remote work possibilities, a remote work allowance or internet allowance, an open informal work environment with attention to work-life balance, exceptional leave arrangements (35 days for full-time employment, closure between Christmas and New Year, plus 3 extra leave days).
• Additionally, there is free hospitalization insurance, maximum reimbursement for public transport commuting and/or a bicycle allowance, varied meals at campus restaurants at an attractive rate, advantageous sports opportunities, a range of discounts via a benefits program, childcare near campus, and discounts on holiday camps.
• There is room to shape the job content and continuously learn via internal learning platforms and training.