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<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt"><span style="font-family:arial,helvetica,sans-serif"><span lang="EN-GB">In the <b>Institute of Neural Information Processing</b> of the Faculty
of Engineering, Computer Science and Psychology of Ulm University there will be a<span></span></span></span></p><span style="font-family:arial,helvetica,sans-serif">
</span><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt"><span style="font-family:arial,helvetica,sans-serif"><span lang="EN-GB"><span></span></span><b><span lang="EN-GB">PhD /
PostDoc position in the field of Learning Systems<br>
</span></b><span lang="EN-GB"><br>
to be filled as soon as possible in the newly established research group on
“Learning Systems”. The group is interested in the mathematical foundations of
intelligent behavior in cognitive systems, including both biological and
artificial systems, in particular the information-processing principles
underlying learning and decision-making. This requires a combined theoretical
and experimental approach. In our theoretical line of work we use methods from
machine learning, statistics, physics, information theory and decision theory
to investigate the effects of limited resources on learning and decision-making
(“bounded rationality”). In our experimental line of work we investigate
sensorimotor behavior in humans by using virtual reality technology and robotic
interfaces to study learning and decision-making quantitatively under
controlled conditions. This interdisciplinary approach unites aspects from both
basic and applied research. On a basic level we aim at a quantitative
understanding of embodied intelligence, in particular the emergence of
cognition from sensorimotor interactions by processes of abstraction and
structure learning. On an applied level we are interested in both autonomous
robotic systems and human-machine-interactions, as sensorimotor learning and
decision-making in artificial systems constitute a cutting-edge technical
challenge. The research group is supported by the ERC-project BRISC (Bounded
Rationality in Sensorimotor Coordination)<span> <br></span></span></span></p><span style="font-family:arial,helvetica,sans-serif">
</span><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt"><span style="font-family:arial,helvetica,sans-serif"><span lang="DE"><a href="https://erc.europa.eu/projects-figures/erc-funded-projects/results?search_api_views_fulltext=BRISC" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span lang="EN-US">https://erc.europa.eu/projects<wbr>-figures/erc-funded-projects/r<wbr>esults?search_api_views_fullte<wbr>xt=BRISC</span></a></span><span></span></span></p><span style="font-family:arial,helvetica,sans-serif">
</span><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt"><span style="font-family:arial,helvetica,sans-serif"><span lang="EN-GB">funded by the excellence programme of the European Research Council, in
which we aim at a novel information-theoretic understanding of sensorimotor
interactions in psychological and technical systems. <br>
<span></span></span></span></p><span style="font-family:arial,helvetica,sans-serif">
</span><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt"><span style="font-family:arial,helvetica,sans-serif"><span lang="EN-GB">Ulm University with its more than 10,000 students is Baden-Württemberg’s
youngest university. It offers attractive career prospects in a highly
innovative research, teaching and work environment at the same time
facilitating the reconciliation of work and family life. Embedded within the
novel international “Cognitive Systems”-Master’s course, the research group
“Learning Systems” is part of the university’s priority programme on human-machine-interaction.
Beyond the university, there are plenty of opportunities to cooperate with
international partners in Great Britain and the United States. <span></span></span></span></p><span style="font-family:arial,helvetica,sans-serif">
</span><span style="font-family:arial,helvetica,sans-serif">
</span><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt"><span style="font-family:arial,helvetica,sans-serif"><span lang="EN-GB">The applicants should have a strong mathematical background, hold a Diploma
or Master’s degree in natural science, mathematics, economics, psychology,
computer science, engineering or similar and have a keen interest in artificial
and natural intelligence. <br>
<span></span></span></span></p><span style="font-family:arial,helvetica,sans-serif">
</span><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt"><span style="font-family:arial,helvetica,sans-serif"><span lang="EN-GB">The positions are paid according to German tariff TV-L E13. Exceptional
candidates with a Bachelor’s degree can also be considered, albeit with an
individual pay scale regulation.<span></span></span></span></p><span style="font-family:arial,helvetica,sans-serif"></span><span style="font-family:arial,helvetica,sans-serif"><span lang="EN-GB"></span></span><span style="font-family:arial,helvetica,sans-serif"><span lang="EN-GB"></span></span><span style="font-family:arial,helvetica,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt"><span style="font-family:arial,helvetica,sans-serif"><span lang="EN-GB">
The University of Ulm is an equal opportunity employer: Handicapped individuals
are strongly encouraged to apply, and so are women in areas in which they are
underrepresented.<br>
<br>
The positions will be filled as soon as possible. Candidates should send a CV, a
brief statement of interest and a copy of their highest degree to Prof. Dr. Dr.
Daniel Alexander Braun </span><span lang="DE"><a href="mailto:daniel.braun@uni-ulm.de" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span lang="EN-GB">daniel.braun@uni-ulm.de</span></a></span></span></p>
<br><br clear="all"><br>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><span style="font-size:12.8px">Prof. Dr. Dr. Daniel Alexander Braun</span><br style="font-size:12.8px"><span style="font-size:12.8px">Institute of Neural Information Processing</span><br style="font-size:12.8px"><span style="font-size:12.8px">Faculty of Engineering, Computer Science and Psychology</span><br style="font-size:12.8px"><span style="font-size:12.8px">Ulm University</span><br style="font-size:12.8px"><span style="font-size:12.8px">James-Franck-Ring</span><br style="font-size:12.8px"><span style="font-size:12.8px">D-89081 Ulm</span><br style="font-size:12.8px"><span style="font-size:12.8px">Germany</span><br style="font-size:12.8px"><br style="font-size:12.8px"><span style="font-size:12.8px">phone: </span><a href="tel:%2B49%20%280%29731%2050%20-%2024158" value="+497315024158" style="color:rgb(17,85,204);font-size:12.8px" target="_blank">+49 (0)731 50 - 24150</a><br style="font-size:12.8px"><span style="font-size:12.8px">fax: </span><a href="tel:%2B49%20%280%29731%2050%20-%2024156" value="+497315024156" style="color:rgb(17,85,204);font-size:12.8px" target="_blank">+49 (0)731 50 - 24156</a><br style="font-size:12.8px"><span style="font-size:12.8px">email: </span><span style="color:rgb(17,85,204);font-size:12.8px"><a href="mailto:daniel.braun@uni-ulm.de" style="color:rgb(17,85,204);font-size:12.8px" target="_blank">daniel.braun@uni-ulm.de</a></span></div></div></div></div></div></div></div></div></div>