Two Research Fellows in Machine Learning / Deep Learning, Hochreiter Group

Two Research Fellows in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria
Johannes Kepler University Linz (JKU), Austria, is looking for two post-doctoral research fellows to advance machine learning and deep learning with Sepp Hochreiter. These six year positions are affiliated with the LIT AI Lab and the Institute of Bioinformatics.
Job description:
- Conduct independent research and collaborate in machine learning and deep learning projects
- Publish in renowned international journals and conferences
- Supervise students; give lectures; support study programs
Requirements:
- PhD degree
- Track record in machine learning (e.g. deep learning, reinforcement learning, kernel methods, probabilistic modeling)
- Knowledge in one or more of the following application domains is a plus: bio-/chemoinformatics, signal processing, vision, speech, natural language processing
- Willingness and ability to work in a team and to support students and junior researchers
About the group: Within the last years, Sepp Hochreiter (who is best known for the invention of LSTM, for the Vanishing Gradient problem, “Flat Minima”, and “Learning to Learn”) has built up a dynamic team of ~20 researchers. The group has recently achieved widely acclaimed successes, such as, winning the NIH’s Tox21 toxicity prediction challenge with deep learning, the ELU activation function, Self-Normalizing Networks, and the proof of GAN learning convergence. The group has many international collaborations and receives funding from companies, such as, Johnson&Johnson, Merck, Bayer, Zalando, and Audi, e.g. through the Audi.JKU Deep Learning Center or the newly established LIT AI Lab.
About the location: The area offers excellent quality of living in the heart of Europe – close to the alps between Vienna, Salzburg, Prague and Munich. Linz provides a superb cultural environment, e.g. with the Ars Electronica Festival and the nearby Salzburg Festival. Moreover, the world-cultural heritage sites Hallstatt and Český Krumlov are less than two hours away. The picturesque and versatile landscape provides countless options for recreation and sports in nature (skiing, hiking, climbing, cycling, and many more).
If you have questions, please contact: Prof. Dr. Sepp Hochreiter, +43 732 2468 4520, Sepp.Hochreiter-AT-jku.at.
Prospective applicants interested in these positions are requested to electronically send an application via the online portal http://jku.at/application. Please include “Job Reference Number 3534” in your application.