Open PhD Position (Transfer Learning)
The Department of Knowledge-based Mathematical Systems at the Johannes Kepler University Linz in collaboration with the Software Competence Center Hagenberg (SCCH) is offering a PhD position in the field of "transfer learning", a specific research direction within the field of machine learning and data-driven modeling.
The basic task is to transfer knowledge from an original data source to one or more similar target tasks with little training data available while achieving robust and consistent models. Adaptive, incremental and evolving learning techniques applied to local structures, model components and parameters may play a central role for an appropriate achievement of the learning goals.
Profile/Personal Qualification of the candidate:
Applicants should preferable have a completed master in Mathematics/Informatics/Mechatronics and already have some knowledge in data-driven modeling and machine learning techniques; willingness for preparing publications in international journals and conferences. Interest in transfer learning and evolving systems is warmly welcome.
Duration contract: at least 1.5 years, maximal 3 years, 30 hours per week
Start Date: 1st of January 2014
Salary (Gross): 1955 Euro gross per month
Finance: the position is financed within the strategic collaboration between SCCH and the Department of Knowledge-Based Mathematical Systems/FLLL at the Johannes Kepler University Linz.
Contact: The candidate should send his CV, degree certificates, references to publications etc. no later than 31st of October 2013 to
Dr. Edwin Lughofer, email: edwin.lughofer@jku.at Tel.: +43 (0)7236 3343 435
or
Dr. Thomas Natschläger, email: thomas.natschlaeger@scch.at, Tel.: 0043 (0)7236 3343 868
Candidates must be allowed to work within the European Union (EU).
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