We are looking for a motivated PhD student willing to work at the intersection of the fields of organic glasses and machine learning. The project involves building microscopic models (amenable to computer simulations) able to capture the formation of organic glasses in conditions relevant for biology and technology.
The project is an iCASE project partially founded by IBM and partially founded by EPSRC, and is a collaborative project between IBM Research UK and the University of Bristol. The research will be undertaken under the supervision of Dr. Fausto Martelli (IBM) and Dr. John Russo (Bristol). The candidate will be based at the IBM Research UK in Daresbury, but will also spend extensive periods at the School of Mathematics of the University of Bristol. The collaboration between IBM Research UK and the University of Bristol will provide the student with access to one of the most advanced computational infrastructure in the UK, together with exposure to a vibrant and multi-disciplinary academic environment.
The candidate should have a background in statistical physics, soft matter physics and experience in programming.
We would be grateful if you could circulate this opening to whoever might be interested.
Starting date is flexible, but the candidate is expected to hold a Master degree. Interested candidates should submit their CV along with contacts for references to the following email addresses:
fausto.martelli [at] ibm.com john.russo [at] bristol.ac.uk