PhD on Statistical mechanics on random graphs and algorithms

Random spin systems from statistical mechanics have been successfully used to study critical behaviour at the interface of problems from mathematics, physics, biology and computer science.

The measure describing the spin system gives the probability of likely configurations. Phase transitions occur when tuning a parameter of the system, in the sense that there are several Gibbs measures compatible with the microscopic interactions. In recent years, there has been enormous activity in order to study phase transitions for spin systems on random graphs by rigorously characterizing the set of Gibbs measures. Applications of such problems range from computational complexity, coding theory, to machine learning.

This PhD project investigates statistical mechanics on random graphs and algorithms. The focus is on properties of the q-state Potts model, which is intimately related to random graph q-coloring and community detection problems.

As a PhD student your task is to:  

• study relevant literature and learn the necessary mathematical techniques in order to tackle the problems mentioned above;
• present results on scientific conferences;
• attend research seminars, local at Technical University Eindhoven (TU/e) and the national Mark Kac seminar;
• publish articles in renowned scientific journals;
• participate in the activities of the project team involving PhD students and PostDocs;
• do modest teaching duties at TU/e.

The project is a joint project between Prof. Remco van der Hofstad (TU/e), Dr. Noela Mueller (TU/e) and Dr. Wioletta Ruszel (UU).

Requirements:

We are looking for a candidate that brings the following:

• a Master's degree in mathematics;
• excellent English language and communication skills;
• knowledge of or affinity to physics and/or computer science is not required but considered an advantage;
• a demonstrable research-oriented experience, interest, or attitude.

Salary Benefits:

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 2.770,- max. € 3.539,-).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

38 hours per week

De Rondom 70