[robotics-worldwide] [jobs] PhD positions in AI & Robotics @ KTH & Chalmers Uni. Tech. -- Sweden

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[robotics-worldwide] [jobs] PhD positions in AI & Robotics @ KTH & Chalmers Uni. Tech. -- Sweden

Yiannis Karayiannidis
We are announcing two Phd student positions associated with the collaborative project DARMA --  DAta-driven foundations for Robust deformable object MAnipulation -- within the WASP-AI initiative
(https://urldefense.proofpoint.com/v2/url?u=http-3A__wasp-2Dsweden.org_research_overview-2Dof-2Dthe-2Daimlx-2Darea_&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=0hvYOIeXvu0zviGXCwNyh0bw2cDm0ucyu1tJiIDbNl8&s=VKMk31cku2BFLNRxnQU1h6YytRYYTxX1H58uLh00TKA&e= ) in Sweden. One position is advertised under supervision of Yiannis Karayiannidis, Assistant Prof at Chalmers University, Gothenburg, Sweden and one under supervision of Florian Pokorny, Assistant Prof at KTH Royal Institute of Technology, Stockholm, Sweden.

Short description of the project:
Deformable objects are encountered in many industrial applications, ranging from foams and padding of variable stiffness to plastic parts that need to be snapped into a fixture, cartons that need to be folded and packed tightly, etc. Similarly, there are numerous potential applications of deformable object manipulations in fields ranging from agriculture to medicine such as fruit picking and suturing.
This project aims to  focus on further developing machine learning and control theory foundations of modeling and predicting a deformable object's interactions with a robot directly from available vision and force sensor data. The project's goal is to develop models learned from sensor data which map the robot actions to the expected changes of the environment and the deformation state of the object while respecting physical constraints. Such models are a key ingredient for model-based control and model-based reinforcement learning in the context of robotic manipulation. The project will focus in particular on objects that are deformable but exhibit some degree of stiffness, such as plastics, metal sheets, etc.

-- One position is advertised at Chalmers University of Technology, Gothenburg, Sweden under supervision of  Yiannis Karayiannidis, Systems and Control, Electrical Engineering, Chalmers University of Technology. The position at E2/Chalmers will have an emphasis on data driven modeling of robot-object interaction and design of control policies based on reinforcement learning principles.

For more information and application for this position go to the link:
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.chalmers.se_en_about-2Dchalmers_Working-2Dat-2DChalmers_Vacancies_Pages_default.aspx-3Frmpage-3Djob-26rmjob-3D6603-26rmlang-3DUK&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=0hvYOIeXvu0zviGXCwNyh0bw2cDm0ucyu1tJiIDbNl8&s=OcxXJXAZgvmR3nj96ZJaayMipi-Dfy57usDsmvbFFjU&e=
Please note: APPLICATION DEADLINE: 1st OCTOBER 2018, START DATE: 1st JANUARY 2019


-- The second PhD position is advertised at  KTH Royal Institute of Technology,  School of Electrical Engineering and Computer Science, Robotics, Perception and Learning lab, Stockholm, Sweden  under supervision of Florian Pokorny, Assistant Professor of Machine Learning,  https://urldefense.proofpoint.com/v2/url?u=http-3A__www.csc.kth.se_-7Efpokorny_&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=0hvYOIeXvu0zviGXCwNyh0bw2cDm0ucyu1tJiIDbNl8&s=kYPG0wP5E8wlQZQ5iYL-11uPSAnoySDgPLmHkX5zVxI&e=.

The position at KTH will have an emphasis on developing novel mathematically rigorous ideas for machine learning methods  that can integrate constraints posed by known physics with state of the art machine learning methods (Deep Learning and/or Variational Inference). Applications from candidates with a wide variety of backgrounds besides computer science/robotics and including pure/applied mathematics, statistics and physics are encouraged to apply.

For more information and application go to the link here and refer to section B.
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.kth.se_en_itm_inst_indek_2.1272_anstallning_lediga-2Djobb-2Dinternt_what-3Ajob_jobID-3A219360_where-3A4_&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=0hvYOIeXvu0zviGXCwNyh0bw2cDm0ucyu1tJiIDbNl8&s=1nM4weLg_79vyOKfDpPPbesgIJxj5_CyhHlzUUbaka0&e=
Please note: APPLICATION DEADLINE: 30th SEPTEMBER 2018, START DATE: 1st JANUARY 2019

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Yiannis Karayiannidis, Docent, Phd
+ Assistant Professor
   Systems and Control
   Department of  Electrical Engineering
   Chalmers University of Technology
   SE-412 96 Göteborg, Sweden
Web:    www.yiannis.info<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.yiannis.info_&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=0hvYOIeXvu0zviGXCwNyh0bw2cDm0ucyu1tJiIDbNl8&s=6zqFUA3ISx0hHwlwtm1m3gPKgXzRC0FgdGmdN5gvQ8U&e=>
E-mail: [hidden email]<mailto:[hidden email]>

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