The Learning and Interaction Group Lab at IIT (Istituto Italiano di Tecnologia, Genoa, Italy) is looking for an outstanding, highly motivated postdoctoral researcher to work in the field of robot learning for dexterous manipulation.
The position is offered within the PHOLUS project, which is aimed at designing, building and controlling a high performance, high efficiency electric platform that will combine a quadruped-legged base with a twin- armed high dexterity upper body in a configuration that is inspired by the Centaurs of mythology. This combination will amalgamate the talents and capabilities of highly dynamic quadrupedal locomotion over rough and unstructured terrain with a humanoid-inspired upper body/arms/dexterous hands covered with tactile sensors to provide a high dexterity bi-manual manipulative structure. This will allow the PHOLUS robot to navigate, observe, interact and respond effectively in highly unstructured outdoor environments and human engineered locations (e.g. disaster recovery in buildings, access complex power/process/chemical/oil installations) addressing key issues in robot robustness and reliability; autonomous operation; semi-autonomous operation; tele-operation; tactile sensing; active perception; affordances learning; agile loco-manipulation, grasping and dexterity; locomotion; whole-body interactions; whole-body motion planning and control; visualisation; and navigation, localisation and mapping.
The post-doc will research into innovative methods/frameworks to learn dexterous manipulation skills through a combination of programming by demonstration, optimization and reinforcement learning. Such manipulation skills will exploit a rich sensory system composed of vision/force/tactile sensors, and will also consider physical interaction with the environment and/or humans. The proposed approaches will be tested in a set of unique robotics platforms at IIT (e.g., COMAN, WALKMAN, Centauro, among others) and also in commercial robots.
Desired qualifications include:
- PhD degree in computer science, electrical or mechanical engineering (clearly related to machine learning and/or robotics).
- Experience in reinforcement learning, learning from demonstration, and/or optimal control.
- Experience in machine learning for robotic (uni- and bi-manual) manipulation.
- Experience in tactile sensing for robotic manipulation is desirable but not required.
- Excellent publication record.
- Creativity and proactive attitude.
- Fluency in both spoken and written English.
- Strong team player.
The salary will depend on qualifications and experience and will include additional health benefits.
To apply, please send electronically a detailed CV with list of publications, university transcripts, your best first-author paper, a cover letter outlining motivation and statement of research interests/plan and two references letters to email@example.com stating “LIG Post-Doc CB 72442” in the subject of the e-mail. Only complete applications will be evaluated.
Application deadline: July 6th, 2016
Istituto Italiano di Tecnologia, with its headquarters in Genova, Italy, is a non-profit institution with the primary goal of creating and disseminating scientific knowledge and strengthening Italy’s technological competitiveness. The institute offers state-of-the-art equipment and a top-level interdisciplinary research environment focused on robotics and computer vision, neuroscience, drug discovery, nanoscience and technology.
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Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.