Assistant Professor Visual Analytics (V32.2724)
Assistant Professor Visual Analytics
The Visualization group of the Department of Mathematics and Computer Science aims at the development of new methods and techniques to explore and present large data sets. The focus is on information visualization and visual analytics. We study how to provide insight in large, heterogeneous data sets, such as combinations of multivariate data, hierarchical data, network data, event data, and geospatial data, all often time varying. We try to develop novel approaches for visual presentation and interaction; to this end we use careful analysis of the data and the needs of and tasks in the domain, fast prototyping, close cooperation with domain experts, and evaluation in practice. Furthermore, we study how methods from machine learning and data mining can be integrated, such that analysis can be done more effectively and efficiently, with more confidence and trust in the automated approaches that were used. We cooperate with experts from a variety of application domains, including health care, bioinformatics, forensics, fraud detection, and software engineering; both from academia and industry.
The group has a strong track record in visualization, with award winning papers at major conferences (IEEE VIS, IEEE InfoVis, IEEE VAST); two successful start-up companies (MagnaView and SynerScope); and a number of techniques that are used on a large scale world-wide.
The rapid expansion of education and research on Data Science of TU/e urges a need for further growth of the Visualization group, as visualization is considered a crucial aspect of data science. The group will participate actively in the new Bachelor, Master and Post Doctorate Engineering programs on data science; at TU/e in Eindhoven and also in cooperation with Tilburg University in ‘s-Hertogenbosch. Furthermore, the high interest in data science of government, the health sector, industry, and business provides many opportunities for expansion of our research.
We aim to strengthen our position in visual analytics, and are looking for a strong candidate with a deep interest in the use of combinations of automated and visual methods, driven by a desire to develop new methods for analysis, presentation and interaction that make a difference for real-world applications. Also, the candidate enjoys to pass knowledge and experience to new generations of students, and to guide them doing research and solving real-world problems. Specifically, we expect that candidates:
- Perform research on visual analytics;
- Acquire research funding;
- Develop and teach courses in visualization and visual analytics;
- Supervise student projects at Bachelor, Master, PD Eng, and PhD level; in Eindhoven and also as active contribution to our new joint activities in ‘s-Hertogenbosch.
- have a PhD in visualization or visual analytics;
- be highly motivated, top quality researchers with a strong track record;
- be inspired by questions and data from practice;
- have a broad experience with different aspects of data science, including collection, storage, and analysis of huge data sets;
- be familiar with current technology and tools of data science;
- have experience with teaching and supervision of students;
- have a strong affinity with modern, action-based learning methods.
Conditions of employment
Appointment and Salary:
- 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).
Information and application
More information can be obtained from:
- about the research and teaching aspects of this position please contact prof. dr.ir. J.J. van Wijk, email: email@example.com
- about the employment conditions at the TU/e please contact drs. Charl Kuiters (HR Advisor), email: firstname.lastname@example.org.
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.
Please send us your application before April 30, 2017 by using the “APPLY NOW” button.
Click here for more general information about working at the department of Mathematics and Computer Science.