Postdoctoral Researchers – Multiphysics Modelling of PVD-Functionalized Battery Electrodes
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Namur, Walloon Region, Belgique
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ppOrganisation/Company University of Namur Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 13 Sep 2026
- 22:00 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No /p h3Offer Description /h3 pWe are looking for highly motivated bPostdoctoral Researchers in Battery Modelling and Multiphysics Simulation /b to develop a modelling framework linking: /p pThe two successful candidates will investigate how the morphology and physical properties predicted by Virtual-Coater™ can be translated into meaningful input parameters for battery modelling platforms. The ultimate objective is to establish a predictive modelling workflow capable of assessing how PVD functionalization influences battery performance, including: /p ul licapacity; /li liionic and electronic transport; /li lipolarization and overpotential; /li lienergy efficiency; /li licycle behaviour and degradation; /li liinfluence of electrode architecture and coating morphology. /li /ul pA particular objective will be to identify the appropriate level of model complexity required to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. /p pThe work will combine bfundamental modelling, numerical simulation and experimental validation /b, with a strong emphasis on technology transfer to industrial partners. /p pWe are looking for two researchers with PhD in one of the following fields: /p pelectrochemical engineering;br/chemical engineering;br/materials science;br/battery science;br/computational materials science;br/applied physics;br/mechanical engineering;br/energy systems;br/computational science;br/or a closely related discipline. /p pEssential skills /p pThe candidates should have strong experience in several of the following areas: /p pelectrochemical modelling;br/lithium-ion or other rechargeable battery systems;br/porous-electrode theory;br/electrochemical transport phenomena;br/numerical modelling and simulation;br/multiphysics modelling;br/Python or c++ and scientific computing. /p pExperience with PyBaMM, PyBattMo, COMSOL, FEniCS , or comparable simulation tools is highly desirable. /p pA good understanding of battery electrode architecture, including porosity, tortuosity, effective transport properties, interfaces and surface coatings, would be particularly valuable. /p pValuable additional experience /p pExperience in one or more of the following areas would be considered an advantage: /p pplasma surface functionalization;br/electrode/electrolyte interfaces;br/battery degradation modelling;br/microstructure-resolved modelling;br/tomography or image-based electrode modelling;br/machine learning/data-driven modelling;br/parameter identification and optimization;br/scientific software development. /p pImportantly, direct experience with PVD is not mandatory. /p pCandidates with strong backgrounds in electrochemical or battery modelling who are interested in developing expertise in plasma-based materials processing are. /p /p
- 22:00 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No /p h3Offer Description /h3 pWe are looking for highly motivated bPostdoctoral Researchers in Battery Modelling and Multiphysics Simulation /b to develop a modelling framework linking: /p pThe two successful candidates will investigate how the morphology and physical properties predicted by Virtual-Coater™ can be translated into meaningful input parameters for battery modelling platforms. The ultimate objective is to establish a predictive modelling workflow capable of assessing how PVD functionalization influences battery performance, including: /p ul licapacity; /li liionic and electronic transport; /li lipolarization and overpotential; /li lienergy efficiency; /li licycle behaviour and degradation; /li liinfluence of electrode architecture and coating morphology. /li /ul pA particular objective will be to identify the appropriate level of model complexity required to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. /p pThe work will combine bfundamental modelling, numerical simulation and experimental validation /b, with a strong emphasis on technology transfer to industrial partners. /p pWe are looking for two researchers with PhD in one of the following fields: /p pelectrochemical engineering;br/chemical engineering;br/materials science;br/battery science;br/computational materials science;br/applied physics;br/mechanical engineering;br/energy systems;br/computational science;br/or a closely related discipline. /p pEssential skills /p pThe candidates should have strong experience in several of the following areas: /p pelectrochemical modelling;br/lithium-ion or other rechargeable battery systems;br/porous-electrode theory;br/electrochemical transport phenomena;br/numerical modelling and simulation;br/multiphysics modelling;br/Python or c++ and scientific computing. /p pExperience with PyBaMM, PyBattMo, COMSOL, FEniCS , or comparable simulation tools is highly desirable. /p pA good understanding of battery electrode architecture, including porosity, tortuosity, effective transport properties, interfaces and surface coatings, would be particularly valuable. /p pValuable additional experience /p pExperience in one or more of the following areas would be considered an advantage: /p pplasma surface functionalization;br/electrode/electrolyte interfaces;br/battery degradation modelling;br/microstructure-resolved modelling;br/tomography or image-based electrode modelling;br/machine learning/data-driven modelling;br/parameter identification and optimization;br/scientific software development. /p pImportantly, direct experience with PVD is not mandatory. /p pCandidates with strong backgrounds in electrochemical or battery modelling who are interested in developing expertise in plasma-based materials processing are. /p /p