Internship, MS/PhD, PhD, Postdoc and Research Scientist Positions in the Bayesian Deep Learning Group at KAUST

This is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led by Prof Maurizio Filippone, including Research Intern MS/PhD Student PhD Student Postdoctoral Fellow Research Scientist This lightweight form is intended as a first point of contact, and should be used instead of sending emails. Note : If you are not contacted within six weeks after submitting your application, this means you are not selected for an interview - no need to send emails asking for an update on the application.

Outstanding academic record appropriate to the position you are applying to. Strong mathematics training and skills Strong computer science training and skills

Application documents: Brief cover letter, explaining your motivation for applying, Detailed curriculum vitae (including your email address), Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is need for this (e.g., reference letters), and a Zoom interview will be scheduled. Note: If you are not contacted within six weeks after submitting your application, this means you are not selected for an interview - no need to send emails asking for an update on the application.