PhD on Statistical mechanics on random graphs and algorithms at TU/e- apply before 19.5.2024!

“PhD on Statistical mechanics on random graphs and algorithms”

Job description

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.

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

Job requirements

We are looking for a candidate that brings the following:
  • a Master’s degree in mathematics;
  • excellent English language and communication skills
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  • 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.

Conditions of employment

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
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  • 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
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Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.

Curious to hear more about what it’s like as a PhD candidate at TU/e?
Please view the video.


Do you recognize yourself in this profile and would you like to know more?

Please contact the hiring manager Noela Müller, Assistant professor, <> .

Visit our website for more information about the application process
or the conditions of employment.
You can also contact HR Services M&CS, <> .

Are you inspired and would like to know more about working at TU/e?
Please visit our career page
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Application (before 19.5.2024)

We invite you to submit a complete application by using the apply button. The application should include:
  • A cover letter in which you describe your motivation, research experience, interests and qualification for the position. A background in probability is required for the position. If you have had exposure to statistical mechanics, please also mention this.
  • A detailed curriculum vitae, including the contact information of two academic references.
  • Copies of relevant BSc and MSc diplomas and transcript of records, including a list of grades.
  • A copy or link to your master thesis if available. In case you are currently writing your master thesis, a short description of the project.

More information and link to application can be found here:

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