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).

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