==== PHD STUDENT IN COMPUTER SCIENCE WITH SPECIALIZATION IN VISUAL ANALYTICS ==== placed at Linnaeus University, Department of Computer Science, Faculty of Technology – Växjö Campus, Sweden Application Deadline: November 1, 2017 ****Description**** The focus of this advertised PhD position and the corresponding research project is on visual analytics for engineering smarter systems (http://bit.ly/isovis-vaess). The research will be performed within the Linnaeus University Center on Data Intensive Sciences and Applications, DISA, funded by Linnaeus University for five years. Overall aim of this DISA subproject is to better understand and engineer complex cyber-physical systems. We will develop foundational visual analytics principles, techniques and tools for analyzing data and models in those systems. Thus, trust into the analysis results will be finally increased by making the analysis methods and resulting empirical models transparent for end users. In consequence, our users will be enabled to better predict the behavior of cyber-physical systems and to reconstruct the underlying models more efficiently when needed. Duties consist mainly of the following: • Graduate studies in the field of Visual Analytics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies, 1 year departmental tasks). • Research in the field Visual Analytics. The position is part of DISA and its subproject Visual Analytics for Engineering Smarter Systems. • Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals. • Close collaboration with the other project members in an interdisciplinary research environment as well as with domain experts. • At most 20% of the working time will be dedicated to teaching and other departmental tasks. Note that a PhD position in Sweden is a salaried employment with the right to social benefits. ****How to apply**** Interested candidates find detailed application information including qualification requirements, assessment criteria, and contact details on the following web page http://bit.ly/isovis-phd Applications have to be submitted online via the above given web page by November 1, 2017, at the latest. The application must include a cover letter (with a motivation why the candidate wants to pursue this PhD project in visual analytics), a resume and the contact information of two referees. In addition, a link to the candidate’s Master’s thesis should be provided. -- +------------------------------------------------------- + Prof. Dr. Andreas Kerren + + Linnaeus University + Department of Computer Science + Vejdes Plats 7, Room B3019 + SE-351 95 Växjö, Sweden + + Phone: +46 470 767502 + Fax: +46 470 84004 + Email: andreas.kerren@lnu.se + WWW: http://homepage.lnu.se/staff/akemsi/ + WWW: http://cs.lnu.se/isovis/ +-------------------------------------------------------