Two PhD positions on Data Science in the Department of Mathematics and Computer Science at TU Eindhoven
The Department of Mathematics and Computer Science at Eindhoven University of Technology invites applications for two PhD positions in the area of Data Science, a multi-disciplinary area that relates to many areas within computer science and mathematics. Recent technological and societal changes led to an explosion of digitally available data. Exploiting the available data to its fullest extent, in order to improve decision making, increase productivity, and deepen our understanding of scientific questions, is one of today's key challenges. Data science is an emerging area that aims to address this challenge. It is a multi-disciplinary area, where computer science and mathematics play crucial roles. The TU/e Graduate Program on Data Science leverages the presence at the TU/e of excellent research groups in the data-science area, and to give highly talented students the opportunity to be educated in and contribute to this exciting area. The Graduate Program on Data Science is part of the Data Science Center Eindhoven (DSC/e), launched in December 2013. It builds on the excellence of several research groups within the department that together cover many of the core topics in data science: algorithms, visualization, data mining, process mining, statistics and probability, stochastics, operations research, and optimization. This ensures a stimulating and excellent environment for the selected students. The professors that are involved and can act as supervisor are: • Wil van der Aalst (http://wwwis.win.tue.nl/~wvdaalst/ ) • Nikhil Bansal (http://www.win.tue.nl/~nikhil/ ) • Mark de Berg (http://www.win.tue.nl/~mdeberg/ ) • Sem Borst (http://www.win.tue.nl/~sem/ ) • Onno Boxma (http://www.win.tue.nl/~boxma/ ) • Paul De Bra (http://wwwis.win.tue.nl/~debra/ ) • Remco van der Hofstad (http://www.win.tue.nl/~rhofstad/ ) • Johan van Leeuwaarden (http://www.win.tue.nl/~jleeuwaa/ ) • Bettina Speckmann (http://www.win.tue.nl/~speckman/ ) • Jack van Wijk (http://www.win.tue.nl/~vanwijk/ ) • Gerard Woeginger (http://www.win.tue.nl/~gwoegi/) Together with the intended supervisors from the relevant research group(s), the students will have the opportunity to define their own research project. The overall aim is to make fundamental advances in the area of Data Science. We particularly welcome projects at the intersection of different areas within computer science and/or mathematics. Job requirements Candidates are expected to be fluent in English, both oral and in writing, and have an excellent background in computer science and/or (applied) mathematics as evidenced by an MSc degree in preferably computer science or (applied) mathematics, or possibly econometrics, operations research, electrical engineering or industrial engineering. Terms of employment We offer: · A full time temporary appointment for a period of 4 years, with an intermediate evaluation after 9 months; · A gross salary of € 2125 per month in the first year increasing up to €2717 in the fourth year; · Support for your personal development and career planning including courses, summer schools, conference visits etc.; · A broad package of fringe benefits (e.g. excellent technical infrastructure, child daycare and excellent sports facilities). Information For further information, please contact: Prof.dr. M. de Berg , [email protected]<mailto:[email protected]> or Prof.dr. J.S.H. van Leeuwaarden, [email protected]<mailto:[email protected]> For information about the DSC/e, see http://www.tue.nl/dsce/ How to apply Applications should be done through the following webpage http://jobs.tue.nl/en/vacancy/two-phd-positions-on-data-science-213707.html Deadline for applications is April 1, 2015 (but positions may be filled earlier). Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology WWW: vdaalst.com<http://www.vdaalst.com/>
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