The Department of Mathematics and Computer Science has a vacancy for an Assistant Professor in the Architecture of Information Systems (AIS) group which is part of the Information Systems (IS) section. AIS is the globally leading research group in the exciting new field of process mining (www.processmining.org<http://www.processmining.org/>). Process mining techniques focus on process discovery (extracting process models from event logs), conformance checking (comparing normative models with the reality recorded in event logs), and extension (extending models based on event logs). The work resulted in the development of the ProM framework that is widely used in industry and serves as a platform for new process mining techniques used by research groups all over the globe. Moreover, many of the techniques developed in the context of ProM have been embedded in commercial tools. See also www.processmining.org<http://www.processmining.org/>.
The position The position is associated with the Data Science Center Eindhoven (DSC/e) and the EIT ICT Labs Data Science Master Program (DSC) in particular. The DSC/e is an initiative of the Eindhoven University of Technology and the scientific director of this center, prof. Wil van der Aalst, is also chairing the AIS group. The DSC/e is an initiative of the TU/e to set up a world leading research program in data science. The center is run as a doctorate school with a scientific research program consisting of seven major research programs. The programs are inspired by industrial and societal challenges and will leverage the world class competences at the Eindhoven University of Technology in the fields of data analytics, business analytics, human technology interaction, and systems design. The DSC master program (http://www.masterschool.eitictlabs.eu/programmes/data-science/) is part of the EIT ICT Labs Master School. It provides an international Master's program in ICT Innovation. EIT ICT Labs combines majors in technical fields with a minor in Innovation and Enterprise in a two-year program that involves different universities for the first and second year. Students not only acquire fundamental knowledge and skills relating to technical subjects, they also learn how to bring your innovative ideas onto the market. We are searching for outstanding candidates with expertise in Data Science to join the AIS group at TU/e. The candidate should have an excellent research record, including independent research, and should be eager to coordinate a European Data Science Master Program (next to teaching and student supervision). The candidate is expected to have or gain experience in acquiring research funding and be willing to take up administrative responsibilities in the context of the EIT ICT Labs Master School. Tasks As assistant professor in the Architecture of Information Systems (AIS) group, in particular, you will fulfill the following activities: * Coordinating the EIT ICT Labs Data Science Master Program. This involves frequent interaction with the local coordinators of other European universities in order to align the Data Science Master program, selecting students eligible for the program, and co-operation with the EIT ICT Labs Master School office. This will be the main activity in the first year. * Teaching of courses in Data Science and developing new courses in this area. The teaching duties also include the supervision of internships and master projects in the entire field of information systems, either internal to the university or executed at companies and institutes outside the TU/e. * Perform research in Data Science and in Process Mining in particular, thereby broadening and/or deepening the scope of research topics studied in the AIS group. The research duties also include the supervision of PhD students and writing and submitting research proposals. * (Limited) administrative tasks for the EIT ICT Labs Master School. Note that in order to professionalize the teaching skills of its staff the TU/e requires all lecturers to take a teaching-training program (leading up to the BKO, a basic certificate in teaching). This training is offered by the TU/e and the hours are subtracted from the initial teaching load. In addition, we expect the candidate to be able to lecture in respectable English, therefore an English language assessment will be held after appointment. Job requirements Requirements We are looking for a candidate who meets the following requirements: * A PhD degree in Mathematics or Computer Science; * Research experience in Data Science (e.g., Data Mining, Machine Learning, Statistics, BPM, or Business Intelligence) and preferably also Process Mining; * Outstanding research achievements and promise for the future; * Excellent track record of international publications in leading journals and high-ranked conferences; * Experience in European educational projects; * Readiness to coordinate a European Master Program; * High potential for the acquisition of external research funds; * Readiness to supervise PhD projects; * Teaching experience and good teaching skills; * Good English speaking and writing skills, and a willingness to learn Dutch (all Master's and some Bachelor courses are given in English); * Basic Teaching Qualification (BKO): if the candidate in question is not in possession of a BKO certificate, he or she is required to meet this requirement within a maximum period of three years. Conditions of employment Appointment and Salary We offer: * A challenging job in a dynamic and ambitious university and a stimulating research environment; * An appointment for two years as an assistant professor (universitair docent) in the AIS section. After this period an evaluation will take place to assess your performance and your career path. * Support with your professional and personal development; * An extensive package of fringe benefits (e.g. excellent technical infrastructure, the possibility of child care and excellent sports facilities). Information and application Information More information can be obtained from: * about the position: prof.dr.ir. Wil van der Aalst, e-mail: [email protected]<mailto:[email protected]> * about the employment conditions: drs. Charl Kuiters HR advisor, e-mail: [email protected]<mailto:[email protected]>. For more details on the Architecture and Information Systems group seehttp://www.win.tue.nl/ais/. Also visit http://www.tue.nl/dsce/,http://www.processmining.org/, and http://www.masterschool.eitictlabs.eu/programmes/data-science/ for more context information. 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. Please apply via http://jobs.tue.nl/nl/vacature/assistant-professor-in-data-science-0810-fte-205716.html . Use the "Apply now" button of Vacancy V32.2132. Applications via e-mail will not be accepted. Currently there are several open positions related to process mining and data science. * Postdoc: Process Analytics for the European Data Science Academy http://jobs.tue.nl/nl/vacature/postdoc-process-analytics-for-the-european-data-science-academy-206483.html * PhD on Process Mining for Predictive Models in Healthcare Smart Maintenance http://jobs.tue.nl/nl/vacature/phd-on-process-mining-for-predictive-models-in-healthcare-smart-maintenance-206476.html * Postdoc: Software Analytics and Process Mining http://jobs.tue.nl/nl/vacature/postdoc-software-analytics-and-process-mining-206130.html * PhD: Discovering Behavioral Software Models from Software Event Data http://jobs.tue.nl/nl/vacature/phd-discovering-behavioral-software-models-from-software-event-data-206118.html * Assistant Professor in Data Science (0.8-1.0 fte) http://jobs.tue.nl/nl/vacature/assistant-professor-in-data-science-0810-fte-205716.html Please consult the web pages to get more information and apply.
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