PhD position in probabilistic computing

At the same time, modern computing devices currently focus on creating deterministic processes and reject the physical noise arising naturally in the circuits, at great cost in terms of scalability, energy efficiency, and hardware limitations. Viewing these challenges as opportunities, this PhD project aims to develop new algorithms based on the following perspective:
 

(i) computing can be understood as a physical process, and/or
 

(ii) computing can harness randomness originating from physical phenomena.
 

During this PhD, you will investigate probabilistic algorithms in close collaboration with researchers from Imec’s Alternative Computing team and from the host university.
 

Prospective candidates should have a strong interest in probability, applied mathematics, physics, and be motivated by developing and applying these methods for computing. Important research tools will include Monte Carlo techniques (MCMC, sequential Monte Carlo, …) and stochastic processes.
 

 
 

Main Responsibilities:
 

Conduct literature reviews on probabilistic algorithms from a hardware/software co‑design perspective, Study and design algorithms from both mathematical and numerical viewpoints, Participate in conferences, workshops, and seminars, Write high‑quality conference and journal publications.
 

 
 

 
 

We are looking for a highly motivated and creative candidate with the following qualifications:
 

You have (or will obtain in the coming months) a Master’s degree in Engineering, Mathematics, Physics, Computer Science, or a related field, with excellent academic results. You have a genuine interest in probability, machine learning, and physics. You possess solid programming skills (e.g., Python or MATLAB).You have good communication skills in English, both written and oral.