Start on/after: March 31, 2023
For full consideration, apply by: March 31, 2023
If a potentially good or excellent match, we will contact you within 1 week from applying.

We are looking for a talented, energetic, resourceful numerical modeler of liquid metal Magnetohydrodynamics to predict, interpret and optimize free-surface liquid metal experiments and their interplay with fusion plasmas and solid objects, as well as with magnetic fields, temperature gradients etc.

Responsibilities

Individual responsibilities:

• Numerical modeling of magnetohydrodynamic (MHD) flows relevant to stellarator design such as: duct and open-channel flows, particle transport, wall-bounded MHD turbulence subject to heat and/or mass transfers, magnetic field gradients etc.

• Provide expertise and critical analysis of numerical results to give insight on the relevant physical mechanisms at stake – Setup and sustain external collaborations with academic and/or industrial partners on computational Fluid Dynamics (CFD) topics.

• Define technical solution to meet process engineer’s specifications.

Responsibilities as a team member

• Assist mechanical engineers and experimentalists in the design (geometry, flow regimes…) of stellarator parts and in-house experiments.

Qualifications -essential:

• PhD in mechanical engineering, applied mathematics, physics, computational science or related field

• 3+ years experience in numerical modeling of magnetohydrodynamic flows

• 3+ years hands on experience with a CFD software such as ANSYS/HIMAG/openfoam or equivalent

• Free-surface and multiphase flows modeling, turbulence closing schemes, heat and mass transfers

• Written and oral communication skills. Ability to explain complicated concepts clearly and concisely

• Organizational and problem-solving skills, attention to detail, curiosity and willingness to learn

• Ability to work independently as well as in a team

Qualifications -desirable:

• Familiarity with technologies relevant to the nuclear sector (fission and/or fusion)

• Programming skills in a scientific computing language (python, matlab, c++, fortran…)

• Computer-Aided Design modeling and meshing

• High performance and parallel computing

• Post-processing of large datasets

Qualified and interested?

Send your cv and motivational e-mail to jobs@renfusion.eu.