Several PhD/postdoc positions are available in the research group on machine learning, optimization, and automated algorithm design at the University of Freiburg, Germany. Research projects focus on two areas: - AutoML, which aims to automate many of the tasks that have traditionally been left to machine learning experts, such as hyperparameter optimization, model search, and architecture selection in deep learning (see automl.org); and - Automated algorithm design in other areas, in particular for solving NP-hard problems.
The salary scale for full-time positions is TV-L E13 (with a monthly gross salary between 3370 EUR and 4860 EUR, depending on experience and previous position). Applicants should have an excellent first academic degree in artificial intelligence, machine learning, computer science, statistics or a related discipline. Demonstrated general knowledge in machine learning is a requirement, and experience in one or more of the following areas is an advantage: - Algorithm configuration and selection - Bayesian optimization and stochastic optimization - Discrete optimization and NP-hard problem solving - Hyperparameter optimization - Meta learning and transfer learning - Active learning and experimental design - Deep learning - Gaussian processes Application deadline: June 11, 2014. Please see the full job posting at http://aad.informatik.uni-freiburg.de/positions.html for details. Thanks, Frank Hutter
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