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Stellarator Turbulence Optimization (PhD position)

Stellarator turbulence optimization

Nuclear fusion and magnetic confinement

Nuclear fusion, the process by which light nuclei combine to form heavier ones, drives the energy output of stars. Whereas gravity naturally confines the fusion fuel (a hot hydrogen plasma) within stars, present-day fusion experiments and future power plants rely on strong toroidally-shaped magnetic fields for confinement.

Source: Science.

Stellarators

The stellarator is a reactor candidate that generates the magnetic field that contains the plasma by means of external magnets. The specific geometry of that magnetic field can be optimized to improve energy and particle confinement.

Turbulence optimization

Turbulent fluctuations of the plasma electromagnetic fields result in significant energy and particle losses. The primary objective of the present PhD project is to obtain new stellarator configurations that minimize turbulent losses. This endeavor is framed by first-principles theory and will be addressed through numerical simulation on super-computers and AI techniques.

Source: H. Thienpondt et al.

 

If you are interested in nuclear fusion, theory and simulation, contact us with your CV and/or academic record at: jose.regana@ciemat.es and edi.sanchez@ciemat.es 

Stellarator Turbulence Optimization (PhD position)

Position Type
Position Type
PhD position
Host institute type
Host institute type
Research Institute
Host institute
Host institute
CIEMAT, Spain
Location
Location
Madrid, Spain
Format
Format
Requires physical presence
Starting Date
Starting Date
No Specific Start Date
Duration of position
Duration of position
4 years
Candidate level
Candidate level
Master (completed)
Compensation
Compensation
Yes
Contact person
Contact person
José Manuel García-Regaña
Contact person email
Contact person email
External Link
Required competences
Required competences
Master's degree in Physics or Engineering.
Familiarity with High Performance Computing (HPC) environments is recommended.
Knowledge of programming languages such as Python and Fortran is desirable.
Passion for the physics of complex systems.
Location