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Lund University
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Doctoral student in Numerical Simulations of Turbulent Heat Transfer over Rough Surfaces Lund University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Nov 29, 2026
Country
Sweden
University
Lund University
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About this position
This doctoral project at Lund University focuses on the numerical simulation of turbulent heat transfer over rough surfaces. The work is based at the Department of Energy Sciences, Faculty of Engineering (LTH), within the Division of Heat Transfer, where the research environment combines fluid mechanics, heat transfer and computational fluid dynamics with a strong emphasis on turbulent flows and engineering applications.
The project addresses a challenging and practically important topic: how surface roughness affects turbulent flow, wall friction and heat transfer in systems relevant to energy, thermal management and transport. The doctoral student will develop a deeper physical understanding of the interaction between roughness geometry, turbulence and heat transfer, and use that understanding to support improved engineering models.
The research is strongly computational and will rely on high-fidelity numerical methods, including Direct Numerical Simulation and Large Eddy Simulation. The work involves use of advanced CFD tools and high-performance computing resources on both GPU- and CPU-based platforms. Depending on the problem, the project may use OpenFOAM, CaNS and nekRS, alongside comparable scientific-computing frameworks.
The project environment is designed to connect fundamental research with industrially relevant applications. It is carried out in close collaboration with Siemens Energy AB, Ericsson AB, TRATON AB and RISE, offering opportunities for scientific exchange and collaboration with researchers and engineers working on turbulent flow and heat transfer problems.
The doctoral student will investigate how roughness, fluid properties and thermal conditions influence turbulent momentum and heat transfer, then use simulation data to identify physical mechanisms, scaling relations and modelling strategies for rough-surface heat transfer, including improved reduced-order and RANS-oriented models. The position also includes participation in research meetings, conferences, publications and the wider doctoral training environment at LTH.
Funding details
Available
What's required
Applicants must have a second-cycle qualification or equivalent, or at least 240 credits with at least 60 at second-cycle level. A Master’s degree, or equivalent, in mechanical engineering, engineering physics, aerospace engineering, energy engineering, applied mathematics, computational science, or another relevant subject is required. Candidates need good knowledge of fluid mechanics, CFD, turbulent flows and heat transfer; a substantial research project or thesis in CFD, turbulence, heat transfer or a closely related field; demonstrated ability to independently set up, run, troubleshoot, validate and analyse numerical simulations; scientific programming experience in C/C++, Fortran, Python or Matlab; practical experience with HPC systems; the ability to work with limited supervision; and very good spoken and written English. Experience with DNS/LES, wall-bounded turbulence, surface roughness, RANS, wall modelling, parallel computing, GPU-accelerated scientific computing, and research experience beyond the Master’s thesis are meriting.
How to apply
Apply in English through the Varbi application portal. Upload a CV and cover letter, degree certificates and transcripts, a copy or summary of your Master’s thesis, and any other relevant supporting documents. Include contact information for at least two references.
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