3 PhD candidates in Dynamics on and of Random Graphs

Eindhoven University of Technology; Eindhoven; Sur place; EUR 36 000 - 45 000; Plein temps

Avantages offerts par ce poste

ABP pension scheme

OpenUp mental health support

Commuting and home Internet allowance

Generous leave options

Résumé du poste

Technische Universiteit Eindhoven (TU/e) invites applications for three PhD candidates in the Dynamics on and of Random Graphs project. You will join an active team of researchers and work on phase transitions of stochastic processes on random graphs, with opportunities to collaborate with industrial partners.

We seek an excellent MSc in Mathematics with a strong research mindset, the ability to work in an interdisciplinary team, and fluency in English.

Qualifications

• Master’s degree in Mathematics or equivalent university degree.
• Research-oriented attitude with interest in stochastic processes.
• Ability to collaborate with interdisciplinary teams and industrial partners.
• Motivated to develop teaching skills and coach students.

Responsabilités

• Work in a team of PhD students and postdocs on phase transitions of stochastic processes on random graphs.
• Develop and advance mathematical understanding of dynamics on random graphs.
• Contribute to teaching tasks and engage with industry collaborations.

Connaissances

Research mindset

Interdisciplinary teamwork

Teaching skills

Fluent English

Formation

Master's degree in Mathematics

Description du poste

3 PhD candidates in Dynamics on and of Random Graphs

Organisatie: Department of Mathematics and Computer Science

• 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. In addition, we offer you:

• 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.
• 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.

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.

Information

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Prof.dr. Remco van der Hofstad, Full Professor in Probability, via [e-mail].

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

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. We give priority to complete applications.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.