[robotics-worldwide] [jobs] Fully-funded Research Assistant - Deep Semantic Models in Mobile Robotics (up to 18 months)

Andrzej Pronobis pronobis at cs.washington.edu
Wed Oct 12 02:00:15 PDT 2016

Fully-funded Research Assistant
Deep Semantic Models in Mobile Robotics

We are looking outstanding research assistants to join the development
of deep learning solutions for semantic reasoning in mobile robotics
in a joint project between KTH Royal Institute of Technology in
Stockholm and the University of Washington in Seattle. Both positions
are full-time, fully funded for the period of up to 18 months, and
open immediately. The positions are 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 [1]
 • UW Robotics and State Estimation Lab headed by Prof. Dieter Fox [2]
 • UW Neural Systems Lab headed by Prof. Rajesh P. N. Rao [3]
and the candidates will have the opportunity to visit all the labs.

The research assistants will be undertaking both research and
technical tasks, including:
 • Implementing novel deep learning algorithms in TensorFlow
 • Developing components of an integrated robotics system based on ROS
 • Deploying deep learning models on mobile robots in human environments
 • Developing large-scale, interactive robotic simulations
 • Conducting experiments on large visual datasets on Amazon EC2

• Location: primarily KTH Royal Institute of Technology [4] in Stockholm;
            possible visits at the University of Washington [5] in Seattle
• Salary: 25.000SEK/month (funded by the Swedish Research Council)
• Benefits: full package including health insurance and pension
• Duration: up to 18 months
• Application deadline: immediately, candidates are encouraged to apply now
• Expected start date: as soon as possible

Please direct all questions about the positions to:
Dr. Andrzej Pronobis
pronobis at cs.washington.edu

 • Eligibility to work in Sweden
 • M.S. degree or currently pursuing a PhD in CS or related fields
 • Very good knowledge of Linux and experience with development on Linux
 • Excellent, demonstrated coding skills in Python and C++
 • Experience with Python scientific libraries (Numpy, Scipy)
 • Familiarity with standard dev tools: shell scripting, CMake, gcc, git
 • Coursework and/or experience in at least one of the following areas:
   robotics, computer vision, pattern recognition, machine learning
 • Proven ability to design and implement scientific algorithms
 • Proficiency in English (oral and written), excellent communication skills
 • Experience contributing to open source projects, e.g. on GitHub
 • Experience contributing to research projects or scientific publications
 • Experience with developing robotic systems in ROS
 • Experience with deep learning software frameworks, e.g., TensorFlow,
 • Experience with computer vision libraries, e.g., OpenCV, PCL
 • Experience with cloud computing platforms, e.g., Amazon EC2

**How to Apply?**
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 (pronobis at cs.washington.edu). Please indicate
the desired employment time frame. Eligibility to work in Sweden is

[1] https://urldefense.proofpoint.com/v2/url?u=http-3A__www.csc.kth.se_cvap_&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=bxwh9kP0qCWGJ8ZJ69wDzc_ZGkZbAoh7U-GS7kn40XU&s=ARGoFK0gQaHoYNv4NbuarvFWSTi8v6RZ2HaMaEhGye8&e= 
[2] https://urldefense.proofpoint.com/v2/url?u=http-3A__rse-2Dlab.cs.washington.edu_&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=bxwh9kP0qCWGJ8ZJ69wDzc_ZGkZbAoh7U-GS7kn40XU&s=dofg1zbP9YtPSAexvlXdTIYxFvdmtq7nfBan98wZKYU&e= 
[3] https://urldefense.proofpoint.com/v2/url?u=http-3A__neural.cs.washington.edu_&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=bxwh9kP0qCWGJ8ZJ69wDzc_ZGkZbAoh7U-GS7kn40XU&s=CsY2RFwqBroF8yoTBRivwmNqjzG49G6boqKMCch3aVY&e= 
[4] https://urldefense.proofpoint.com/v2/url?u=http-3A__www.kth.se_en&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=bxwh9kP0qCWGJ8ZJ69wDzc_ZGkZbAoh7U-GS7kn40XU&s=aJ3mH5hzxrtk5_jHk3OhusPfVWGiDNMd6Jt2xq83l3Q&e= 
[5] https://urldefense.proofpoint.com/v2/url?u=http-3A__www.washington.edu_&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=bxwh9kP0qCWGJ8ZJ69wDzc_ZGkZbAoh7U-GS7kn40XU&s=EIQTx1bZyZimGSFpTYIezk6NkNkquv8QnWMHzC1QHOk&e= 

Andrzej Pronobis, Ph.D.
Postdoctoral Researcher, University of Washington, Seattle
Senior Researcher, KTH Royal Institute of Technology, Stockholm

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