We are looking for an outstanding research assistant to join the development of deep learning solutions for semantic reasoning and planning in mobile robotics in a joint project between KTH Royal Institute of Technology in Stockholm and the University of Washington in Seattle. The position is full-time, fully funded for the period of up to 1 year, and open immediately. The position is hosted by KTH in Stockholm, the largest and oldest technical university in Sweden, providing one-third of Sweden's technical research and engineering education capacity at university level.

Successful candidates will work as members of a small, fast-paced research team focused on developing novel deep learning algorithms for multi-modal (color, depth) semantic perception, semantic environment understanding and action planning as well as their real-world deployment on mobile robots in large human-populated environments. The project is a collaboration between:

• KTH Computer Vision and Active Perception Lab headed by Prof. Hedvig Kjellström
• UW Robotics and State Estimation Lab headed by Prof. Dieter Fox
• UW Neural Systems Lab headed by Prof. Rajesh P. N. Rao

The research assistant will be undertaking both research and technical tasks, including:

• Research related to novel deep learning techniques, such as Sum-Product Networks and Generative Adversarial Networks
• Implementing deep learning models in TensorFlow
• Contributing to a new, open-source library for inference and learning with Sum-Product Networks and Tensorflow
• Deploying deep learning models on large-scale datasets and mobile robots
• Developing components of an integrated robotics system based on ROS

To apply for the positions, please send:

• Cover letter
• CV/resume
• Transcript
• Links to previous projects and/or open-source contributions
• Two references and/or two letters of recommendation

to Dr. Andrzej Pronobis (ude.notgnihsaw.sc@sibonorp). Please indicate the desired employment time frame. Eligibility to work in Sweden is essential.