Towards Predictive Plasma Assisted Combustion Advanced Kinetic Modeling For Sustainable Fuels

Laplace Apply; Brussel Hoofdstad; Hybrid; EUR 45,000 - 60,000; Full time

Job summary

Vrije Universiteit Brussel in Brussels seeks a postdoctoral researcher to develop predictive plasma-assisted combustion kinetic models for sustainable fuels. The project combines ab initio chemistry, experimental data, data assimilation and machine-learning surrogates to support low-emission combustion.

This ERC ESCAPADE project targets plasma-enabled reaction mechanisms and data-driven optimization in a flow/BRITE thermal-fluid setting.

Job description

Towards Predictive Plasma Assisted Combustion Advanced Kinetic Modeling For Sustainable Fuels

2026-11-15 (displayed with a local timezone name, without a cutoff time).

About This Opportunity

Vrije Universiteit Brussel advertises Towards Predictive Plasma Assisted Combustion Advanced Kinetic Modeling For Sustainable Fuels in Brussels. The focus is the erc escapade postdoctoral position in the flow/brite thermal-fluid research environment develops kinetic mechanisms for plasma-assisted combustion, merging ab initio .

Vrije Universiteit Brussel advertises Towards Predictive Plasma Assisted Combustion Advanced Kinetic Modeling For Sustainable Fuels in Brussels. The ERC ESCAPADE postdoctoral position in the FLOW/BRITE thermal-fluid research environment develops kinetic mechanisms for plasma-assisted combustion, merging ab initio chemistry, experimental data, data assimilation and machine-learning models to support low-emission sustainable-fuel combustion.The listing displays 2026-11-15 as the closing calendar date; no cutoff hour has been normalized.Who This Opportunity Is Best Suited For: Researchers with a computational chemistry or combustion-kinetics orientation, especially those working with kinetic mechanisms and data-driven models, may fit the sustainable-fuel plasma-combustion project.Overall Opportunity Assessment: The combination of plasma-assisted combustion kinetics, ab initio chemistry and machine-learning surrogates is its distinctive computational combustion focus.

Towards Predictive Plasma Assisted Combustion Advanced Kinetic Modeling For Sustainable Fuels