Trainee for computational and experimental studies of Plasma Discharge Devices for Advanced Beam Manipulation

You will contribute to the development and optimization of plasma-based beam manipulation devices, with a focus on Active Plasma Lenses (APLs). The work will be primarily computational in nature, with two main simulation directions available depending on your background and interests. The first direction involves multiphysics simulations, including CFD studies to optimize neutral gas distribution within plasma discharge capillaries, acoustic analyses aimed at achieving greater control over the transverse gas density profile, and potentially simulations of plasma arc formation. The second direction involves the development of a PIC-based (Particle In Cell) simulation framework — using existing codes such as FBPIC, Smilei, or WarpX — to study and minimize beam-plasma wakefield effects during beam propagation through APL devices, including systematic parameter scans to identify optimal operating conditions for beam quality preservation. Beyond simulations, depending on the progress of the project and your interest, you will also have the opportunity to contribute to the development of the plasma discharge experimental apparatus and/or participate in experimental measurement campaigns. This internship will provide valuable experience working within a research laboratory environment. For highly motivated students, it offers the potential to develop into a Master's thesis project, allowing for a more comprehensive investigation of plasma discharge systems and beam-plasma interaction physics.

You will work closely with experienced accelerator scientists and plasma physics researchers. In our collaborative and dynamic environment, the ability to work effectively with international partners is essential. As an open-minded and adaptable individual, you thrive in a multicultural setting, fostering strong relationships with colleagues and partners from diverse backgrounds. We are committed to creating an inclusive workplace, and we welcome new perspectives.

• You are a student in physics, engineering, or a related field, and you are at least in your ultimate year of undergraduate study (minimum 4 semesters)

• You have experience with CAD and CFD software (for the multiphysics direction)

• You have proficiency in Python and familiarity with GPU-accelerated numerical simulations (for the PIC direction)

• A general aptitude for computational physics and data analysis is essential

• You have not yet completed your Master’s thesis