3 PhD candidates in Dynamics on and of Random Graphs

Departments, Department of Mathematics and Computer Science; Eindhoven; Presencial; EUR 36.000 - 45.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pension scheme

Parental leave

On-campus child care

Student Sports Center access

OpenUp mental health support

Commuting allowance

Expat scheme

Training programs

Descripción de la vacante

The Dynamics.oRG ERC project at TU/e invites applications for three PhD positions in dynamics on and of random graphs. You will join a collaborative team to study phase transitions of stochastic processes on random graphs, with applications to infections spread and consensus dynamics.

You will work four years full-time with teaching components and enjoy a strong training program, generous leave and social benefits at the Dutch university.

Formación

• Master’s degree in Mathematics or equivalent.
• Research-oriented attitude and ability to collaborate with industrial partners.
• Fluent in English (C1 level).

Responsabilidades

• Pursue three PhD projects within Dynamics.oRG.
• Contribute to teaching tasks and supervise students.

Conocimientos

Research-oriented

Teaching skills

English proficiency

Educación

Master's degree in Mathematics

Descripción del empleo

3 PhD candidates in Dynamics on and of Random Graphs

Departments, Department of Mathematics and Computer Science

Introduction

• Are you inspired by phase transitions of processes on networks?
• Are you fascinated by random graphs?
• Are you eager to work in a dedicated team, on the frontiers of mathematics?

Job Description

Within the ERC Advanced Grant Project Dynamics on and of Random Graphs (Dynamics.oRG) of Remco van der Hofstad, we are looking for 3 PhD students working on phase transitions of stochastic processes on random graphs. Such processes model, amongst others, the spread of infections and consensus reaching. The challenge is to get a grip on the double randomness of stochastic processes on the random environment formed by random graphs. Does the random environment change the nature of the phase transition, and, if so, when, why and how? The aim of the ERC project is to develop a deep mathematical understanding of such phenomena.

You will be working in a team of PhD students, PostDocs and key collaborators, to tackle these challenging problems as a team, while working also on your own project. You will further contribute to societal impact of the mathematics of network theory beyond your core research project.

Job Requirements

• A master’s degree (or an equivalent university degree)in Mathematics.
• A research-oriented attitude.
• Ability to work in an interdisciplinary team and interested in collaborating with industrial partners.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 level).

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.

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• 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. € 3,204 - max. € 4,051 gross base salary per month (full-time)).
• In addition to your base salary, you will receive an 8% holiday allowance and an 8.3% year-end bonus, both calculated based on your annual gross base salary.
• Generous leave options: a standard 29 days (based on a 38 hour working week) per year that you can increase to 41 days by working two hours more per week (flexible working hours). This is prorated if you work part‑time.
• As a TU/e employee, you participate in the ABP pension scheme, providing retirement pension and pension benefits for surviving dependents and occupational disability. TU/e pays 70% of the pension premium, while employees contribute the remaining 30%.
• 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, and on‑campus children’s day care.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• We support your wellbeing with free 24/7 access to OpenUp, providing you and your family with mental health support, expert guidance, and online training.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the Expat Scheme ) for international candidates.

On our website you can discover even more information about our conditions of employment . Build on your career at TU/e!

About us

We are a leading international university where scientific curiosity meets a hands‑on mindset. We work in an open and collaborative way with high‑tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community. Discover what Light Up means to TU/e in our short company video.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

As one of the largest and most dynamic academic communities in the Netherlands, the department Mathematics and Computer Science (M&CS) brings together more than 140 scientific staff, over 250 PhD and EngD candidates, and more than 3000 students. We collaborate closely with leading industrial partners in the Brainport Eindhoven region and with universities across the globe—creating a uniquely fertile environment for both fundamental breakthroughs and applied innovation.

As one of the largest and most dynamic academic communities in the Netherlands, the department Mathematics and Computer Science (M&CS) brings together more than 140 scientific staff, over 250 PhD and EngD candidates, and more than 3000 students. We collaborate closely with leading industrial partners in the Brainport Eindhoven region and with universities across the globe—creating a uniquely fertile environment for both fundamental breakthroughs and applied innovation.