[robotics-worldwide] [jobs] Post-doctoral position in Deep Reinforcement Learning for Robotics

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[robotics-worldwide] [jobs] Post-doctoral position in Deep Reinforcement Learning for Robotics

Kyrki Ville
Post-doctoral position in Deep Reinforcement Learning for Robotics

To operate in environments built for humans, future robots need to possess human-like capabilities in areas such as perception, manipulation, and reasoning. Intelligent Robotics group at Aalto University School of Electrical Engineering works actively to develop intelligent robotic systems and robotic vision with a particular emphasis on methods and systems that cope with imperfect knowledge and uncertain senses. The research environment provides excellent opportunities for open-minded co-operation with the highly motivated research staff as well as with top international partners. The group is very international and the working language is English.

We are seeking excellent candidates on post-doctoral level to help us study how deep reinforcement learning can be used with physical agents such as robots, in particular, how to bridge the gap between simulation and real world. Successful candidates will work in a consortium project Deep Reinforcement Learning for Physical Agents recently awarded to us by Academy of Finland. The project will run until end of 2019. The project will provide excellent opportunities for collaboration and access to state-of-the art platforms including KUKA LWR 4+ and Care-O-Bot 4.

Post-doctoral position in Deep Reinforcement Learning for Robotics

A candidate should hold a Ph.D. or equivalent degree. Excellent candidates in a final phase of their Ph.D. studies can also be considered. Suitable disciplines include Robotics, Computer Science, Machine Learning, Artificial Intelligence, Computer Vision, Control Engineering, Mathematics, and other related areas. A strong publication record and experience in real robotic systems are considered advantages. Candidates are expected to be experienced in programming. Candidates should also be fluent in spoken and written English.  

The position is available immediately. The position is fixed-term and filled initially for 1 year with an option for extension up to the end of the project. The salary is determined based on experience and qualifications according to the salary system of Aalto University.  Employment includes occupational health and social security benefits.

How to apply

To apply, send the documents indicated below (in English, complied in a single PDF) using the on-line recruitment system at:
https://urldefense.proofpoint.com/v2/url?u=https-3A__rekry.saima.fi_aaltohome_application-5Fedit-5Fwelcome.html-3Fjob-5Fid-3D1586&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=qjrkMmD75gQMV085ON971UWdzNfPQUT5EXJKt5G0V0U&s=SO_FDtGSJ3xQMOUZ8JdyPw0ybB8dxU_oOo-v4ndMuZA&e=

The required documents are:
1) an application letter describing briefly your background and interests;
2) a Curriculum Vitae (with contact details);
3) names and contact information (email) of at least two references;
4) a list of publications;
5) doctoral degree certificate (if available);
6) an electronic copy of Ph.D. Thesis (if available);
7) electronic copies of 1-2 most relevant publications.
       
The position will be filled as soon as a suitable candidate has been found.

For additional information, please contact Ville Kyrki by e-mail [hidden email] or tel. +35850 4082035.
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