1 Doctoral position in Machine Learning and Visual Analytics in Finland | Aalto University
592 0 1 0
Σύγκριση
Προσθήκη στα αγαπημένα
Στοιχεία επικοινωνίας
P.O. Box 11000
FI-00076 AALTO
FI-00076 AALTO
Tel. +358 9 47001
Academy Research Fellow Jaakko Peltonen
Academy Research Fellow Jaakko Peltonen
Επιστημονικοί τομείς
- Επιστήμη μηχανικού/ηλεκτρολόγου
- Μαθηματικά
- Πληροφορική
- Στατιστική
- Φυσική
Φορέας υποτροφίας
Καταληκτική ημερομηνία αιτήσεων
Λήγει: 17/06/2015
Κατηγορία Υποτροφίας
Περιγραφή
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 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.