DATA MINING AND INFORMATION VISUALIZATION FOR FACILITATING THE MEDICAL ANALYSIS OF PATIENT MOVEMENT Applications are invited for a funded PhD studentship in Visual Analytics in the department of Computer Science at the University of Montpellier, France. http://www.lirmm.fr/~sallaberry/supervision/jobs/PhD-position.pdf Location: LIRMM Lab (http://www.lirmm.fr/lirmm_eng), Montpellier, France Supervisors: * Jerome Aze, Professor at LIRMM, University of Montpellier. * Arnaud Sallaberry, Assistant Professor at LIRMM, University Paul Valery Montpellier. Context: Recent technologies such as Kinect, Wiiboard, Tablet, Joypad, eye tracking devices, etc., enable to record patient's behavior. For medicine, analyzing this behavior is a key to establish efficient diagnostics and better design recovery good practices. To perform a strong diagnostic, data generated by recording devices (body movements, eye movements, etc.) has to be analyzed taking account of the patient background (health problem, personal information, etc.). In this context, therapists are confronted to large amount of heterogeneous data and their analyses require automatic methods. The difficulty lies not in generating but rather in sifting through this mass raw of data in order to discover patterns. This thesis focuses on designing data mining and information visualization techniques to create interfaces helping healthcare professionals to understand the data. Subject: A number of issues associated with the design of such interfaces will be examined in the context of this thesis in order to provide therapists with the tools necessary to perform their analyses. It is of utmost importance that these interfaces be as simple and intuitive as possible, as a misinterpretation of the data due to imperfect interface design could hamper the rehabilitation process. It is for this reason that an in-depth study of knowledge discovery methods must be undertaken by experts in data mining, information visualization and human-computer interaction, in close collaboration with therapists. How to apply: Interested candidates are requested to send an application by e-mail to Dr. Arnaud Sallaberry, (arnaud.sallaberry@lirmm.fr) and Pr. Jerome Aze (jerome.aze@lirmm.fr) with the subject field: '[PhD position] Visual Analytics'. The application should consist of a motivation letter, a curriculum vitae including major achievements, and two or more recommendation letters. Application deadline: May 1st, 2015 If you have any questions please contact Dr. Arnaud Sallaberry, (arnaud.sallaberry@lirmm.fr) and Pr. Jerome Aze (jerome.aze@lirmm.fr).