Key Candidate Info
| Job Title | Automatio/Software Engineer |
|---|---|
| Location | Italy |
| Contract Preference | Permanent,Contract |
| Availability (Notice Period) | 1 month |
The candidate has a strong background in physics, with a focus on superconductivity and numerical simulations. They have a Ph.D. in Physics, specializing in numerical simulations of superconductivity in nanostripes and superconducting nanostripe single photon detectors. They also have experience in machine learning, using it to boost Monte-Carlo simulations of two-dimensional statistical spin-glass systems.
In terms of technical skills, the candidate has expertise in machine learning, Python, Linux, C++/C#/Visual Basic, C/Fortran, and quantum computing. They also have experience in industrial automation programming, including programmable logic controllers (PLC), vision systems, and robots.
Their achievements include developing a machine learning application to identify the displacement of a hydraulic press and fully programming a semi-automatic machine for welding solar cells. They have also contributed to scientific research, with publications on superconductivity and spin-glass simulations.
Overall, the candidate has a strong combination of technical skills and research experience in the field of physics and machine learning.
Key skills & experience
- Machine Learning (5+ yrs)
- Superconductivity (5+ yrs)
- Industrial Automation Programming (1+ yrs)
Is this candidate of interest?
