Master Thesis: Deep Recommendation
Deep learning has shown to be very successful in computer vision, speech recognition, natural language, autonomous driving, and so on. Recommender systems have been very successful in companies like Amazon, Google, Facebook, Netflix, and Spotify, to name a few.
We are looking for talents who are interested in inventing recommender systems with deep learning. The project will focus on new algorithms based on deep learning that can handle data with incomplete information.
This thesis will be conducted with Sony, RISE, and Bitynamics. Compensation is provided for the successful thesis.
In order to be competitive, the applicant must have strong academic records and programming skills. Knowledge of deep learning and TensorFlow would be ideal.
Apply by sending your CV no later than January 15, 2019. You may later be asked to send in your transcripts of records for your BA and MSc studies.
Ather Gattami, PhD
Chief Scientist, Bitynamics AB (www.bitynamics.com)
Senior Research Scientist, RISE AI (www.ri.se)
Tel: +46 70 422 53 30
Master thesis, Deep learning, Recommender system, TensorFlow, Sony, RISE, Bitynamics, Kista
Information Technology, Science
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