Do you have a compelling and refreshing vision on statistical science - are you eager to move beyond traditional boundaries and conventional views, and lead the way in exploring emerging scientific challenges? We are looking for a full professor in Applied Statistics with a broad disciplinary expertise, strong mathematical background, and natural drive for pursuing applications.

The scientific direction of this full professor role is to develop statistical theory and data-analytic methods for the analysis of complex, large, and/or high-dimensional data sets. The focus of the research is to provide a more systemic view or a full breadth of all interrelationships of the collected data simultaneously, instead of determining inference or information on one specific feature of the data.

Specific topics of interest that would be related to these research goals include Bayesian analysis, causal inference, data harmonization, distributed analysis, network analysis, predictive analytics, spatial statistics, statistical learning, and survival analysis. Data collection techniques and design of complex studies, e.g., experimental design, nonprobability-based sampling, and surveys, are of interest as well.

Strong disciplinary expertise, a broad vision on applied and fundamental research in statistics (rooted in deep knowledge of the classical statistical methods and underpinnings, but also encompassing modern data-analytic techniques), and a keen eye towards applications are imperatives to achieve the above ambitions.

It is further crucial to proactively connect with scientists in other disciplines who use and analyze data and to forge strong links with data-intensive sectors in industry and society, for example in the area of high-tech systems, health, smart mobility, consultancy services, and governmental agencies.

Key responsibilities of the position are:

• Develop internationally leading research in the research area described above and actively publish in international high-impact journals.
• Initiate, acquire and coordinate (multidisciplinary) research projects through external funding.
• Strengthen connections and collaborations with other researchers and research programs within the Mathematics & Computer Science (M&CS) department, TU/e, The Netherlands, and abroad.
• Actively develop a network with external partners which support the research and innovation in applied statistics both financially and content wise.
• Actively contribute to the workshop program of EURANDOM.
• Develop, teach, and coordinate courses for the BSc, MSc, and PhD education programs of the M&CS department as well as for the service education, and be responsible for renewing these courses.
• Supervise BSc, MSc, and PhD students in mathematics and data science.
• Perform managerial and/or administrative tasks for the Stochastics, Probability and Operations Research (SPOR) cluster, the Mathematics domain, and the M&CS department.
• Provide leadership to the professionals of the Teaching and Research Institute for Data Science Analytics (TRI-DSA), activities and directions where appropriate.

SPOR cluster

The Department of Mathematics and Computer Science (M&CS) is organized in three different domains: Mathematics, Computer Science, and Data Science. Each domain consists of several clusters. The Mathematics domain has three clusters: Center for Analysis, Scientific Computing and Applications (CASA), Discrete Mathematics (DM), and Statistics, Probability and Operations Research (SPOR).

The SPOR cluster currently consists of four full professors, three associate professors, 14 assistant professors, six teachers, two part-time professors, and around 45 PhD students and post-docs. SPOR focuses on four themes, namely statistics, probability, stochastic operations research, and combinatorial optimization. These themes are basic mathematical disciplines which form the foundations of many of the developments in modern fields such as machine learning, complex dynamic systems, data-driven decision support and optimization, and resilient network design.

At a high level, researchers in SPOR explore the underlying mathematical structure and dynamics of large-scale complex systems, and develop effective methods to analyze and optimize them. These systems are invariably inspired by real-world applications. Thus, SPOR has a double perspective: the research is aimed at advancing theoretical and methodological foundations, while at the same time SPOR maintains strong connections with society, industry and other scientific domains. See https://spor.win.tue.nl for further details.

SPOR widely contributes to the education programs of M&CS in mathematics, computer science, and data science. SPOR also provides extensive service education to other departments at TU/e, and strongly contributes to MasterMath, a joint educational program in which all Dutch universities participate.

Teaching and Research Institute for Data Science Analytics

The Teaching and Research Institute for Data Science Analytics (TRI-DSA) is closely connected to the SPOR cluster, and focuses on innovation, impact, and valorization of statistical and data-analytic methods. The statisticians of TRI-DSA work with external customers on solutions for statistical data science challenges (e.g., performing data analyses, developing software, innovating methods) and provide professional education on statistical and data-analytic methods. TRI-DSA offers a unique platform to pursue collaboration in statistical data science with professionals in the health domain (e.g., industry, hospitals, registries). The full professor is expected to provide leadership to the statisticians of TRI-DSA by taking ownership of these opportunities, developing new initiatives, and contributing to long-term strategic goals on innovation and impact. See https://tri-dsa.win.tue.nl for further details.

• Enthusiastic and inspiring researcher and educator, with a PhD in the area of Statistics, or a comparable domain.
• Sustained track record of high-quality academic research and international recognition and visibility, as evidenced by invited lectures at major conferences and renowned institutes.
• A strong mathematical background, deep understanding and appreciation for foundational research, and ability to capitalize on research connections and strengthen them to their full potential.
• Significant track record in initiating research projects and project acquisition.
• Strong interest in pursuing multi-disciplinary collaborations and applications.
• Didactic qualifications and ability to teach, demonstrated by ample experience and successful educational track record. Informed vision on teaching and learning in the area of Statistics and Data Science.
• Strong cooperation skills, collegial style, professional attitude, and ability to work in diverse teams.
• Effective communication and leadership skills aimed at enabling people to develop and creating synergy, including coaching and mentoring of students and staff, leading a project, managing a group or chairing a committee.
• Excellent (written and verbal) proficiency in English. 

A highly rewarding 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:

• Salary in accordance with the Collective Labour Agreement for Dutch Universities.
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• High-quality training programs for academic leadership and teaching.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.

About us

Eindhoven University of Technology

Eindhoven University of Technology (TU/e) 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 leading position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Department of Mathematics and Computer Science

The Department of Mathematics and Computer Science (M&CS) is the largest department of TU/e and one of the largest departments in The Netherlands in the area of mathematics and computer science. M&CS has approximately 550 employees with more than 130 tenured scientific staff (assistant, associate, and full professors) and more than 250 PhD and EngD students. The department has research collaborations with the other departments at TU/e, with many organizations in the Brainport region, and with universities and companies in The Netherlands and abroad. M&CS strongly contributes to science and engineering by performing both fundamental and applied research. This is reflected in a rich portfolio of projects and grants that M&CS research staff have acquired (including ERC and national level personal grants, H2020, NWO, and industry co-funded projects). Furthermore, M&CS is offering high-quality bachelor and master programs, all taught in English, and hosts more than 2500 students in their programs. On top of this, the department offers courses and teaching at the other departments of TU/e. Through M&CS's close relationship with the high-tech industry in the Brainport region, staff and students contribute directly to the development of relevant technological innovations. Finally, the department has delivered a number of successful spin-off companies, and participates in many national and international research consortia.

Curious to learn more about what it is like to be a professor at TU/e? Please view the video.

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager prof.dr.ir. Sem Borst, s.c.borst@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Hella Ploegmakers, Senior Recruiter, h.a.m.ploegmakers@tue.nl or +31 643559625.

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

Application

We invite you to submit a complete application which should include a:

• 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.
• Description of your scientific interests and plans (1-2 pages).
• Statement of your teaching goals and experience (1-2 pages).

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.