If you are an excellent student and interested in process mining (i.e., the link between Petri nets and (big) data), please apply. We are looking for top students. If you are supervising such a student, please forward this e-mail.
Four 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 four 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 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 positions are funded by the NWO Graduate Program. 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/ The projects fall at the intersection of computer science and mathematics, and are expected to open up promising connections between these fields. 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. * 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: PhD candidates are appointed as temporary university employees for a four-year period (based on an initial one-year contract, with a three-year extension after a positive evaluation as to whether the research is expected to result in a PhD degree after four years). The terms of employment are governed by the Collective Labor Agreement of Universities in The Netherlands, with a monthly salary starting at 2083 Euro in the first year, and increasing to 2664 Euro in the fourth year, and an additional 8% holiday allowance and 8% end-of-year bonus. For further details, please refer to http://w3.tue.nl/en/services/dpo/conditions_of_employment/tue_conditions_of_employment/ * Information: For further information, please contact: Prof.dr. M.T. de Berg , [email protected]<mailto:[email protected]> 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? For full consideration send applications until April 30, 2014, but applications are accepted until positions filled Please send to [email protected]<mailto:[email protected]>: a. A letter motivating the application, in which you indicate in which of the above-mentioned areas you are interested, and if possible briefly discuss some research topics that you would like to explore. b. Detailed Curriculum Vitae, including information on the applicant's education. c. Transcripts of academic records. For full consideration send applications until April 30, 2014, but applications are accepted until all positions are filled.
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