From edelkamp at tzi.de Tue Jul 5 08:05:58 2011 From: edelkamp at tzi.de (Stefan Edelkamp) Date: Fri Jul 8 11:53:16 2011 Subject: [DevRob] CfP: International Workshop on Algorithmic Intelligence @ KI 2011, 4.10, 2011 Message-ID: Skipped content of type multipart/alternative-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: image/gif Size: 46 bytes Desc: not available Url : http://emergent.brynmawr.edu/pipermail/devrob/attachments/20110705/193b7f3b/attachment-0001.gif From mail at jan-peters.net Wed Jul 6 11:09:35 2011 From: mail at jan-peters.net (Jan Peters) Date: Fri Jul 8 11:53:17 2011 Subject: [DevRob] Postdoc/PhD Positions in Robot Learning and Reinforcement Learning Message-ID: <193E9885-5E82-46ED-9226-91261078599A@jan-peters.net> !!!!Postdoc/PhD positions available at the Intelligent Autonomous Systems Group at Darmstadt University of Technology / Technische Universitaet Darmstadt, Germany!!! The Intelligent Autonomous Systems Group invites applications for several research positions (postdoc/phd) in the domain of robot learning and reinforcement learning. The core focus of the group evolves around the problem how we can endow robots with new motor skill and allow them to self-improve their abilities. In order to approach this topic, we develop novel machine learning methods, evaluate possibilities from the perspective of classical robotics and follow biological inspiration from human motor control. The researcher will be embedded in this highly international research group lead by Jan Peters which is centered at Darmstadt, Germany but is tightly intertwined with the Department of Empirical Inference & Machine Learning at the Max Planck Institute for Intelligent Systems as well as the Computational Learning and Motor Control Lab at the University of Southern California. The researcher will encouraged to partake in the our collaborations with many important machine learning and robotics groups in North America, Europe and Japan. More background can be found at the preliminary homepage http://www.intelligent-autonomous-systems.de/. The successful candidate should fit in with these interests and should have a strong background in either robotics and machine learning, ideally in both. Applications of scientists with background in reinforcement learning, imitation learning, robot learning, robot grasping and manipulation, motor skill learning, and biomimetic robotics are particularly encouraged. The positions are to be filled as soon as possible and are available immediately. Applications will be considered until all positions are filled. The application should include a cover letter stating the candidates research interests, curriculum vita, list of publications, and names of three referees. Electronic submission is requested. IF YOU ARE CONSIDERING TO APPLY, PLEASE PING ME (=Jan Peters) BY EMAIL ASAP! Contact Information: Prof. Jan Peters, Ph.D. Technische Universitaet Darmstadt, FB Informatik Hochschulstr. 10, 64289 Darmstadt, Germany phone: +49-6151-16 7351 fax: +49-6151-16 7374 email: peters@informatik.tu-darmstadt.de mail@jan-peters.net www: http://www.intelligent-autonomous-systems.de/ -------------- next part -------------- An HTML attachment was scrubbed... URL: http://emergent.brynmawr.edu/pipermail/devrob/attachments/20110706/2cfd96b6/attachment-0001.htm From chenguang.yang at plymouth.ac.uk Fri Jul 8 11:32:42 2011 From: chenguang.yang at plymouth.ac.uk (Chenguang Yang) Date: Fri Jul 8 11:53:17 2011 Subject: [DevRob] PhD studentship in human robot interaction Message-ID: <590E5A500AD0F943948B2F36C92E98299BC77731D7@ILS133.uopnet.plymouth.ac.uk> PhD studentship available at the Center for Robotics and Neural Systems (CRNS), the University of Plymouth, UK. The studentship will cover 3 years full-time Home/EU tuition fees plus a stipend of ?13,590 per annum. The position is open all applicants, although candidates required to pay overseas fees must be able to cover the difference between Home/EU and overseas tuition fees (approximately ?9,250 per annum). Applicants should have a minimum of a first class or upper second class bachelor degree. Applications from candidates with a relevant Masters qualification will be welcomed. The ideal candidate will have a background in electrical engineering, bioengineering, computer science, mathematics or a related field, ideally with knowledge of control theory or signal processing. Good programming skills are mandatory. For further information on the project or for an informal discussion, please contact Dr Chenguang Yang at chenguang.yang@plymouth.ac.uk. More details are available at http://www.plymouth.ac.uk/pages/view.asp?page=36509 For an application form and full details on how to apply, please visit www.plymouth.ac.uk/postgraduate. Applicants should send a completed application form, CV and a covering letter detailing their suitability to Mrs Carole Watson, Room A103 Portland Square, University of Plymouth, Drake Circus, Plymouth, PL4 8AA or via email to c.watson@plymouth.ac.uk.