PostDoc position (2 years) in Machine Learning

Job description

The aim of the GMTaLe project is to develop a framework for analyzing task-relatedness based on an approach that combines graphs and non-parametric machine learning techniques. The framework will be used for improving generalization performance of multi-task learning algorithms as well as the interpretability of models generated by these algorithms. The project involves one PhD student and one Post-Doctoral researcher. As a Post-Doctoral researcher you will work on the following main tasks.

• Use graph-theory to analyze how task-relatedness change when different similarity measures are used.
• Develop and analyze graph-based transformations for knowledge transfer.
• Show the practical relevance of the proposed research by applying the approach to real-life case studies.
• Integrate the results of the project activities into an open-source graph-based tool for task-relatedness analysis.

• You should have a PhD degree in Computer Science. A background in machine learning is recommended. In addition, you have experience with, and a strong interest in, tool development.
• You are a team player, open-minded and possess good social and organizational skills.
• You have the ability to operate at various abstraction levels, and you are fluent in English (speaking and writing).

The Radboud University Nijmegen is one of the leading academic communities in the Netherlands. Renowned for its green campus, modern buildings, and state-of-the-art equipment, it has nine faculties and enrols over 17.500 students in approximately 90 study programmes. The university is situated in the oldest Dutch city, close to the German border, on the banks of the river Waal (a branch of the Rhine). The city has a rich history and one of the liveliest city centres in the Netherlands.

The machine learning group of the section Intelligent Systems of the Institute for Computing and Information Sciences (iCIS) at the Radboud University Nijmegen conducts research in machine learning and artificial intelligence in general, with applications to (among others) neuroscience and bioinformatics.

Website: www.ru.nl/is/ml/

Conditions of employment

• Employment: 1,0 fte
• Maximum salary per month, based on a fulltime employment: € 3,755 gross/month
• Minimum salary for the postdoctoral researcher is €2,861 (scale 10.4) and for the scientific programmer €2,379 (scale 10.0). Initial salary depends on relevant work experience.
• Salary scale: 10

Additional Information

Application deadline: before *30 April 2010 *

For more information please contact

_Contact_:
Dr. Elena Marchiori,

Telephone: +31 24 36 52647

E-mail: elenam at cs.ru.nl