Doctoral Candidate Position in Machine Learning and Visual Analytics A PhD position is available at the Statistical Machine Learning and Bioinformatics Group, Aalto University, Finland. Finding and understanding what is relevant in big data is challenging and needs support from novel computational methods. You will develop new probabilistic modeling and machine learning based methods for exploratory data analysis and visualization, applied to big data domains such as scientific publications or online news. Join us to create new ways to explore big data. The position is a full-time and fixed-term 2+2 years research position funded by the Revolution of Knowledge Work 2 research project (www.reknow.fi) which develops methods and tools for modern knowledge work such as advanced interactive information retrieval systems that outperform traditional typed query systems. The highly successful research has already led to numerous publications and a spin-off company. A master's degree in computer science, electrical engineering, mathematics, physics, visual analytics, or a related field is needed. An interest in probabilistic modeling and/or machine learning is necessary. A strong study record is appreciated. Studies or practical experience in machine learning, probabilistic modeling, information visualization, and/or visual analytics is an advantage. Good programming skills in languages such as C/C++/Matlab/R/Python and good written and spoken communication skills are desired. It is possible to start as an undergraduate working on the master's thesis. About Aalto: Aalto University (www.aalto.fi) is a new multidisciplinary university created from a merger between three leading universities - the Helsinki School of Economics, Helsinki University of Technology and the University of Art and Design Helsinki. The university has 20 000 students and a staff of 5 000 including 370 professors. The position is at Helsinki Institute for Information Technology HIIT, a joint research institute of Aalto University and University of Helsinki. HIIT's research has been deemed excellent in assessments by its scientific advisory board and by the two universities. The research group (research.ics.aalto.fi/mi/) is multicultural, lively, and has a highly successful track record. Finland is a Nordic country achieving high scores in evaluations of education, economic competitiveness, civil liberties, and quality of life. The research site is at the Aalto University campus. Helsinki and the capital area are a great place to live, with numerous local attractions and events, scenic landscapes of small forests, islands and urban areas, a high standard of living, and excellent travel connections to national and international destinations. How to Apply: Please fill in your application using the Saima recruitment system, see the link in the online version: http://www.aalto.fi/en/about/careers/jobs/view/509/ The application materials must include a motivation letter, curriculum vitae, a copy of study records, contact details of at least two references, and any other materials deemed relevant. The application deadline is June 17th, 2015. Further information: For additional information, please contact Academy Research Fellow Jaakko Peltonen (email: jaakko.peltonen [at] aalto.fi).