Posted: [contact details available in the full listing]
Job Information
- Organisation/Company: Vrije Universiteit Brussel
- Department: Mechanical Engineering
- Research Field: Engineering » Other
- Researcher Profile: First Stage Researcher (R1)
- Positions: PhD Positions
- Application Deadline: 16 Nov 2026 - 10:00 (Europe/Brussels)
- Country: Belgium
- Type of Contract: Temporary
- Job Status: Full-time
- Offer Starting Date: 1 Feb 2027
- Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC
- Reference Number: [contact details available in the full listing]
- Is the Job related to staff position within a Research Infrastructure? No
Offer Description
We offer a full-time PhD position in the framework of the ERC Starting Grant project “Energising the future with clean plasma-based technologies” (ESCAPADE, proposal number [contact details available in the full listing]).
Plasma-assisted combustion combines non-equilibrium plasma discharges with combustion processes to improve ignition, flame stability, and pollutant emissions for sustainable fuels. While detailed state-to-state plasma-combustion models provide an unprecedented description of the underlying physics, their computational cost remains prohibitively high for multidimensional simulations and industrial applications.
This PhD project aims to develop the next generation of computational tools for plasma-assisted combustion by combining detailed state-to-state kinetic modelling, mechanism reduction, and physics-informed machine learning. The researcher will contribute to the development of advanced plasma-assisted combustion simulation codes capable of explicitly modelling plasma discharges, non-equilibrium chemistry, and combustion processes across a wide range of operating conditions.
A key objective of the project is the development of novel reduction methodologies for large state-to-state kinetic mechanisms containing hundreds to thousands of species and reactions. Building upon recent advances such as plasma-directed relation graph techniques (P-DRGEP), principal component analysis, and machine-learning-based lumping strategies, the PhD candidate will construct high-fidelity reduced-order models that preserve the essential plasma-combustion interactions while significantly reducing computational costs.
The developed methodologies will be integrated into in-house plasma-assisted combustion solvers and validated against experimental benchmark datasets generated by leading international partners of the project. Emphasis will be placed on ammonia/hydrogen combustion systems, which are emerging as key carbon-free fuels for future energy and propulsion applications. The resulting reduced models will enable direct integration of detailed plasma chemistry into advanced CFD environments, including DNS and LES simulations of realistic combustion systems.
References:
- Rekkas-Ventiris, G., Giuntini, L., Sabia, P., Sorrentino, G., & Bellemans, A. (2026). Numerical investigation of plasma-assisted MILD combustion of ammonia using a hybrid modeling approach. Fuel, 406, 136751.
- Rekkas-Ventiris, G., Gomez, A. D., Deak, N., Kincaid, N., Pepiot, P., Bisetti, F., & Bellemans, A. (2024). A novel machine learning based lumping approach for the reduction of large kinetic mechanisms for plasma-assisted combustion applications. Combustion and Flame, 260, 113252.
Where to apply
Website: https://jobs.vub.be/go/EN_ACADEMIC-PERSONNEL-&-RESEARCHERS/3775501/
Requirements
- Research Field: Engineering » Other
- Education Level: Master Degree or equivalent
Skills/Qualifications
- A Master of Science in Engineering, Applied Mathematics, Physics, Computational Science or a related field.
- Strong background in numerical methods and scientific computing.
- Excellent programming skills (Python, Fortran and/or C++).
- Interest in chemical kinetics, plasma physics, combustion, reduced-order modelling, and machine learning.
Specific Requirements
- Experience with CFD, DNS and/or LES methodologies is considered an asset.
- Experience with kinetic mechanism reduction techniques, data-driven modelling or high-performance computing is considered an asset.
- Fluent in written and spoken English.
- Strong analytical skills and ability to work both independently and as part of an international research team.
- Languages: ENGLISH
- Level: Excellent
Additional Information
Benefits
Are you going to be our new colleague? You'll be offered a full-time contract with a competitive salary according to your competences and previous relevant work experience. At the VUB, you're guaranteed an open, inclusive and diverse workplace where you are offered opportunities to (further) build on your career.
In addition, you'll enjoy various benefits:
- Full reimbursement for your home-work commute with public transport‚ according to VUB-policy, or compensation if you come by bike;
- Cost-free hospitalization and group insurance with guaranteed income;
- The space to form your job content and‚ continuously learn‚ via VUB LRN;
- Excellent facilities for sport and exercise;
- Ecocheques;
- Delicious meals at attractive prices in our‚ campus restaurants;
- An open, family-friendly work environment where attention is paid to work-life balance, and exceptional holiday arrangements with‚ 35 days of leave‚ (based on a full-time contract).
Selection process
The selection process is based on two steps:
- Evaluation of the documents provided by the applicant
- Interview of each candidate having the eligibility requisites (evaluated through the first step). Interviews will be organized remotely.
The list of documents to be provided:
- Letter of motivation (approx. 1 page)
- Copies of degree and academic transcripts (with grades and rankings)
- Summary of the master’s thesis (approx. 1 page)
- Short CV including a publication list (if any)
- One or two reference letters from academics
- Proof of English language skills
- A short movie in which you present yourself and your motivation (max. 2 min)
Please upload your files through the official VUB job website: https://jobs.vub.be
Website for additional job details: https://jobs.vub.be/job/Elsene-PhD-Position-in-the-Development-of-State-to-State-Plasma-Assisted-Combustion-Solvers/[contact details available in the full listing]/
Work Location(s)
- Number of offers available: 1
- Company/Institute: Vrije Universiteit Brussel
- Country: Belgium
- City: Brussels
- Postal Code: 1050
Contact
- City: Brussels
- Website: https://www.vub.be/
- Street: Pleinlaan
- Postal Code: 1050
- E-Mail: [contact details available in the full listing]
