PhD: Statistical Interpretation of Microstructures

Nonparametric estimation, extreme value statistics, and stochastic simulation

13 dagen geleden


Mekelweg, Delft, Zuid-Holland
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
€ 2840 per maand


Microstructural quantities include grain and particle size, grain shape, orientation and mis-orientations, spatial distributions, and anisotropy. Characterisation techniques at TATA steel can obtain profiles of 2D sections of 3D samples. First, we will describe the formation of microstructures using a realistic stochastic model. Then, the stochastic behaviour of the 2D features will need to be expressed to extract information on the important 3D features. The focus is on joint behaviour of features as well as (joint) extremal behaviour. The challenge in this project is to use state-of-the-art models from materials science and develop statistical methodology to address the stereological problems. Nonparametric estimation, extreme value statistics, and stochastic simulation will be important subjects.


The candidate possesses an MSc degree in mathematics, physics, computer science (specialised in machine learning), or another relevant area. Additional qualifications:
• Strong interest in statistical methodology, physical applications, and computational methods.
• Proficiency in reading and writing scientific papers in English.
• Ambition, motivation, and good communication skills (high level of English proficiency).     


The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit for more information.

For more information about this position, please contact Jolanda de Roo, phone: +31 (0)6-57291350, e-mail: To apply, please use the online application by 31 January 2018:
When applying for this position, please refer to vacancy number EWI2018-01.

Additional information

Jolanda de Roo
+31 (0)6-57291350

Technische Universiteit Delft


Delft University of Technology (the TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools. Electrical Engineering, Mathematics & Computer Science The research at the Delft Institute of Applied Mathematics (DIAM) centres around the analysis of mathematical models arising in science and engineering. This research is both fundamental and applied in nature and is often inspired by technical applications. The department plays an active role in translating research results into concrete, practical applications. It maintains intensive contacts with other TU Delft departments, the major technological institutes, and the research laboratories of major companies. Within its own subject field, the department provides teaching for the Applied Mathematics BSc and MSc programmes and also contributes to the teaching of mathematics courses within other academic programmes at the TU Delft and within national programmes such as “MasterMath”.

The Statistics group covers one of the key research areas at DIAM. It aims at developing theory within the field of mathematical statistics as well as applying state-of-the-art statistical theory to problems from practice. Within DIAM, there is close collaboration with the applied probability group, exemplified by a joint weekly seminar and joint educational efforts (basic probability and statistics courses and courses in the Finance minor and master tracks) and active participation in Delft Data Science (DDS). The Statistics Helpdesk constitutes an interesting interface with other disciplines present at the TU Delft, leading to new interesting statistical problems and appreciation of statistics by other research groups. The group is relatively small and communication lines are short.


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