Funded PhD position in collaboration with the UKAEA:
I am looking for a highly motivated PGR/PhD candidate - “UK home or EU (with settled status) student” – with research experience or strong interests in “superconducting fusion magnets” and “Artificial Intelligence and machine learning techniques” to work under my supervision for a fully-funded PhD position at University of Glasgow , UK. The ideal candidate will work on an UKAEA funded project involving development and validation of protection models for superconducting fusion magnets to assess the impact of different operational conditions on magnet using machine learning and RF technology. The supervisory team is consisted of Sam Tippetts and Dr Stuart Wimbush (from UK Atomic Energy Authority), and Dr Mohammad Yazdani-Asrami , Dr Wenjuan Song , Prof David Flynn (from University of Glasgow).

Proficiency in coding, programming, MATLAB/Simulink/m-file/DPtoolbox, Python programming, different data mining, AI, and ML techniques is absolutely desirable. Prior knowledge of superconductivity, and superconducting magnet modelling or experimental experience would be desirable. Prior experience in using smart algorithms for protection is also desirable. Please see more info here: https://lnkd.in/e_qbkcZm

If interested, please submit the following documents to Dr. Mohammad Yazdani-Asrami at [email protected] :
·        Detailed CV
·        Cover letter detailing relevant experiences
·        Degree certificates and academic transcripts
·        Contact details of 2 academics who can provide reference letter.
The deadline for application is 30 January 2025. I will review applications and will invite suitable candidates for being interviewed during this period.
For applying this position (after having informal interview with Dr Yazdani-Asrami), please see the link below:
https://lnkd.in/eKUr8fJJ

# FusionEnergy # Superconductivity # HTSmagnet # Superconductingmagnet # Protection # AI # ML # DL