Cross-disciplinary tenure-track Assistant Professor in Probability and Analysis (V32.2827)

Cross-disciplinary tenure-track Assistant Professor in Probability and Analysis

The Department of Mathematics and Computer Science has a vacancy for a tenure-track Assistant Professor position, jointly appointed in the section CASA and STO.
Position
Assistant Professor
Departments
Department of Mathematics & Computer Science
FTE
1,0
Date off
08/04/2017
Reference number
V32.2827

Job description

CASA, the Center for Analysis, Scientific Computing, and Applications is one of three mathematical sections of the department, in addition to the sections Discrete Mathematics and Stochastics. The major research objective of CASA is to develop new and improve existing mathematical methods (both analytical and numerical) for a wide range of application areas. There are three subgroups: the Applied Analysis group, which focuses on qualitative properties of solutions of partial differential equations; the Scientific Computing group, which concentrates on development and analysis of numerical methods; and the Mathematical Image Analysis group, which focuses on design and implementation of algorithms for the analysis and processing of images.

STO, the Stochastics section consists of thee chairs: Probability, Statistics, and Stochastic Operations Research (SOR). These chairs have their unique set of competences, but closely collaborate on some of the central themes related to random networks and data science. The section is also involved in various interdisciplinary projects and maintains strong ties with industry and many researchers in other areas of science. The Probability group studies random graphs as models for complex networks, and stochastic processes on them. The Statistics group develops data-analytical methods for analyzing complex structured correlated data sets. The SOR group focuses on complex systems that operate under randomness and uncertainty, and develops mathematical models and techniques for the analysis and optimization of such systems (internet, energy, smart road traffic, healthcare).

This is a new position, created specifically to bring together the communities of STO and CASA. It is inspired by the belief at CASA and STO that the cross-over between analysis and stochastics is potentially very fertile, and that a new person, specifically selected and appointed for this position, will be able to capitalize on the existing strength of the individual groups. In addition, the position is funded by an NWO cluster grant, and thus the new appointee will be able to appoint a new PhD student, to work on a topic of her or his choice.

Because of the joint nature of the new position, candidates are invited who can bridge the gap between stochastics and analysis. Example research directions are interacting particle systems and their limits, stochastic homogenization, large deviations, stochastic-process limits for high-dimensional Markov processes, random graphs and stochastic approximation techniques.

The ideal candidate

  • is expert in a field of mathematics that fits well within this joint CASA-STO context, and will develop an independent research line;
  • is or will become an inspiring teacher;
  • has a pro-active attitude towards acquiring research funding.

Tasks  

The appointee is expected to

  • perform excellent research;
  • participate in the scientific activities of STO and CASA;
  • participate in the teaching of the Department;
  • Initiate, acquire and coordinate research projects, in particular through external funding.

 (Limited) administrative tasks in the Department can also be part of the job.

Job requirements

Requirements

We expect the candidate to fulfill the following criteria:

  • A PhD in mathematics or one of the natural sciences;
  • Experience and excellence in scientific research, as reflected in peer reviewed scientific publications;
  • International recognition by experts in the field, as reflected by e.g. invited lectures at conferences or institutes;
  • Experience in academic teaching in mathematics or a related field;
  • Inspiring personality as a teacher;
  • Excellent communication abilities;
  • Evidence of having taken initiatives and a pro-active attitude;
  • Enthusiastic, motivating, and inspiring personality.
  • Good English verbal and writing skills are required (Level C1 or higher on the scale of the Common European Framework) and will be assessed after being appointed. Also the willingness to learn Dutch is expected.

Conditions of employment

Appointment and Salary

We offer:

  • A challenging job in a dynamic and ambitious university and a stimulating research environment;
  • Support with your professional and personal development;
  • A gross salary between € 3.427 and € 4.691 per month depending on experience and knowledge, plus 8% holiday allowance and 8.3% end-of-year allowance;
  • An extensive package of fringe benefits (e.g. support in moving expenses and commuting expenses, excellent technical infrastructure, on-campus child care, and excellent sports facilities).

The Department has a policy to appoint all new assistant professors in the Tenure-Track system. The appointment will be made for four years. An evaluation will take place after three years, to assess whether you fulfill the assistant professor appointment criteria. If this evaluation is positive, the employment contract will be converted into a contract of employment for an indefinite period. The evaluation criteria are fixed at the Departmental level and are available upon request.

In the case of candidates who are clearly at a further stage in their career, the Department can also offer a tenured position from the start.

Information and application

Information

More information can be obtained from:

  • About the position: prof.dr. Mark Peletier, e-mail: m.a.peletier@tue.nl
  • About the employment conditions: ms. Corlien van Dam, HR advisor, e-mail: pzwin@tue.nl.

Application

The application should consist of the following parts:

  • Cover letter explaining your motivation and qualifications for the position;
  • Detailed Curriculum Vitae (including a list of publications);
  • Research statement;
  • Teaching statement (not more than one page);
  • Names of at least two referees.

The TU/e specifically encourages female candidates to apply.

Please send us your application before April 1, 2017 using the “APPLY NOW” or “SOLLICITEER DIRECT” button.
Applications via e-mail will not be accepted.