<p class="Default"><span style="font-size: 11.0pt; font-family: "Calibri","sans-serif";">The
Embodied AI and Neurorobotics Lab, part of Centre for BioRobotics at the Maersk
Mc-Kinney Moller Institute at the University of Southern Denmark, invites
applications for a position as postdoc in embodied neural computation. The
position is available starting from </span><span style="font-family: "Calibri","sans-serif";">March</span><span style="font-size: 11.0pt; font-family: "Calibri","sans-serif";"> 2015, or as soon
as possible thereafter, for up to two years.</span><span style="font-family: "Calibri","sans-serif";"> </span><o:p></o:p></p>
<p><strong><span style="font-size: 11.0pt; font-family: "Calibri","sans-serif";">Description</span></strong><strong><span style="font-size: 11.0pt; font-family: "Calibri","sans-serif"; font-weight: normal;"><o:p></o:p></span></strong></p>
<p class="MsoPlainText">The recently established Embodied AI and Neurobotics lab
aims to 1) develop modular bio-inspired robots and their modular neural
mechanisms towards embodied autonomous locomotion systems with adaptivity,
energy efficiency, and versatility; 2) understand complex dynamical
interactions between physical and computational components in embodied neural
closed-loop systems. Recent developments of our embodied (neuro) robotic
systems include Locokit robots (<a href="http://locokit.sdu.dk/">http://locokit.sdu.dk/</a>)
and AMOS hexapod walking robots (<a href="http://manoonpong.com/AMOSII.html">http://manoonpong.com/AMOSII.html</a>).<o:p></o:p></p>
<p class="MsoPlainText"><o:p> </o:p></p>
<p class="MsoPlainText">To further this vision, we are recruiting one highly
motivated postdoctoral scientist in the fields of Machine learning, Computational
Neuroscience, Embodied AI, and Robotics, to work on neural predictive control
for goal-directed learning and multi- scale adaptation. The predictive control
will be used for autonomous acoustic navigation and communication of walking
robots in complex environments.<o:p></o:p></p>
<p class="MsoPlainText"><o:p> </o:p></p>
<p class="MsoPlainText">The successful candidate will be expected to have 1) a
PhD degree in electrical engineering and computer science, computational
neuroscience, artificial intelligence, physics of complex systems, or a
quantitative field, 2) articles published in international peer-reviewed
journals documenting experience with embodied neural computation, and 3) strong
background on reinforcement learning (such as continuous time actor-critic),
artificial neural networks (in particular reservoir computing), nonlinear
dynamic systems and robotics (e.g., walking robots), and 4) good programming
skills (e.g., C, C++). Additionally, the candidate should have excellent
writing skills and be able to work independently. The successful candidate for
the position will be affiliated to Centre for BioRobotics at the Maersk
Mc-Kinney Moller Institute, the University of Southern Denmark.<o:p></o:p></p>
<p class="MsoPlainText"><o:p> </o:p></p>
<p class="MsoPlainText">Applicants should provide a covering letter explaining
their approach to the problem of predictive control alluded to above, and at
most three articles illustrating their publication record and research
interests, in addition to standard items such as CV, full publication list,
etc. (see below).<o:p></o:p></p>
<p class="MsoPlainText"><o:p> </o:p></p>
<p class="MsoPlainText">Applications will be considered
continuously until the position is filled. <o:p></o:p></p>
<p class="MsoPlainText"><b><br />
<strong><span style="font-family: "Calibri","sans-serif";">Contact Information:</span></strong><br />
</b><br />
Further information is available from Assoc. Prof. Poramate Manoonpong, The
Maersk Mc-Kinney Moller Institute, Tel: +4565508698, Email: <a href="mailto:poma@mmmi.sdu.dk">poma@mmmi.sdu.dk</a>, Website: <a href="http://www.sdu.dk/staff/poma">www.sdu.dk/staff/poma</a> , <a href="http://www.manoonpong.com">www.manoonpong.com</a> <o:p></o:p></p>
<p><span lang="DA" style="font-size: 11.0pt; font-family: "Calibri","sans-serif"; mso-ansi-language: DA;">An application must include:<o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal"><span lang="DA">Application
<o:p></o:p></span></li>
<li class="MsoNormal"><span lang="DA">Curriculum
Vitae <o:p></o:p></span></li>
<li class="MsoNormal">Certificates/Diplomas (Master's degree certificate
and the latest certificate) <o:p></o:p></li>
<li class="MsoNormal">Information on previous teaching experience, please
attach as Teaching portfolio <o:p></o:p></li>
<li class="MsoNormal">List of publications indicating the publications
attached <o:p></o:p></li>
<li class="MsoNormal">Examples of the most relevant publications. Please
attach one pdf-file for each publication, a possible co-author statement
must be a part of this pdf-file <o:p></o:p></li>
</ul>
<p><span style="font-size: 11.0pt; font-family: "Calibri","sans-serif";">The
University encourages all interested persons to apply, regardless of age,
gender, religious affiliation or ethnic background.<o:p></o:p></span></p>
<p class="MsoPlainText">The full posting can be accessed at<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><a href="https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?PortalID=4066&VacatureID=696811&Vacancy=Post%20Doctoral%20Position%20in%20Embodied%20Neural%20Computation#top">https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?PortalID=4066&VacatureID=696811&Vacancy=Post%20Doctoral%20Position%20in%20Embodied%20Neural%20Computation#top</a>
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal" style="background: white;"><span style="color: #212121;">Please
apply online at:<o:p></o:p></span></p>
<p class="MsoNormal" style="background: white;"><span style="color: #212121;"><a href="https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?PortalID=4066&VacatureID=696811">https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?PortalID=4066&VacatureID=696811</a>
<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>