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<p class="Default" style="margin-bottom:6.0pt"><b><span lang="EN-US"
style="font-size:14.0pt;mso-bidi-font-size:16.0pt;font-family:Helvetica;
color:#005555;mso-themecolor:text2;mso-ansi-language:EN-US">Master
thesis: </span></b></p>
<p class="Default" align="center"
style="margin-bottom:6.0pt;text-align:center"><b><span
lang="EN-US"
style="font-size:14.0pt;font-family:Helvetica;mso-ansi-language:
EN-US">Information Under Fire:</span></b><b><span lang="EN-US"
style="font-size:
14.0pt;mso-bidi-font-size:16.0pt;font-family:Helvetica;color:#005555;
mso-themecolor:text2;mso-ansi-language:EN-US"></span></b></p>
<p align="center" style="margin:0cm;text-align:center"><b><span
lang="EN-US"
style="font-size:14.0pt;font-family:Helvetica;color:black;mso-ansi-language:
EN-US">POMDP Models of Information Seeking in VR Threat Environments</span></b></p>
<p align="center" style="margin:0cm;text-align:center"><b><span
lang="EN-US"
style="font-size:14.0pt;font-family:Helvetica;color:black;mso-ansi-language:
EN-US"> </span></b></p>
<p align="center" style="margin:0cm;text-align:center"><b><span
lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;mso-bidi-font-family:Arial;
color:black;mso-ansi-language:EN-US"><span style="mso-spacerun:yes"> </span></span></b><span
lang="EN-US"
style="font-size:10.0pt;font-family:Helvetica;mso-bidi-font-family:
Arial;color:black;mso-ansi-language:EN-US">Responsible co-supervisor:<b>
Sara
Ershadmanesh</b></span></p>
<p align="center" style="margin:0cm;text-align:center"><span
lang="EN-US"
style="font-size:10.0pt;font-family:Helvetica;mso-bidi-font-family:Arial;
color:black;mso-ansi-language:EN-US">Formal supervisor:<b> Peter Dayan</b></span></p>
<p align="center" style="margin:0cm;text-align:center"><span
lang="EN-US"
style="font-size:10.0pt;font-family:Helvetica;mso-bidi-font-family:Arial;
color:black;mso-ansi-language:EN-US">Supervising Collaborator:<b>
Dominik Bach
(Bonn)</b></span></p>
<p align="center" style="margin:0cm;text-align:center"><b><span
lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;mso-bidi-font-family:Arial;
color:black;mso-ansi-language:EN-US"> </span></b></p>
<p class="MsoNormal" style="line-height:normal"><span lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;mso-bidi-font-family:Arial;
mso-ansi-language:EN-US">The Department of Computational Neuroscience at
the
Max Planck Institute for Biological Cybernetics focuses on
building and testing
theories and computational models of neural processing, with a
particular
emphasis on decision-making, learning, and representation.</span></p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;
line-height:normal"><span lang="EN-US"
style="font-size:
11.0pt;font-family:Helvetica;mso-fareast-font-family:"Times New Roman";
mso-bidi-font-family:Arial;color:black;mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">In dangerous or unpredictable environments, humans must decide
whether
to keep collecting rewards (e.g., food) or to seek information
that helps them
stay safe. In this project, you will analyse how people plan
under threat and
how they trade off explicit reward against information-seeking
for safety. We
have build a scenario in which biological agents forage for food
and must stay
clear of threats. We have also collected data from humans
performing this task
in virtual reality. </span><span lang="EN-US"
style="font-size:11.0pt;font-family:
Helvetica;mso-bidi-font-family:Arial;color:black;mso-ansi-language:EN-US">The
goal of the project is to develop computational models based on
Partially
Observable Markov Decision Processes (POMDPs). These models
characterize belief
formation about a threat‘s distance and speed, and how these
beliefs guide
planning in this situation. We will study both optimal behavior
and heuristics
computational strategies that may explain individual differences
in this
experiment.</span><span lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
color:black;mso-ansi-language:EN-US;mso-fareast-language:EN-GB"></span></p>
<p>
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<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;
line-height:normal;mso-outline-level:3"><b><span lang="DE"
style="font-size:11.0pt;
font-family:Helvetica;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:
Arial;color:black;mso-fareast-language:EN-GB">What is available:</span></b></p>
<ul type="disc">
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:
auto;line-height:normal;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt"><span
lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Arial;mso-ansi-language:EN-US;
mso-fareast-language:EN-GB">Behavioral dataset from a VR experiment</span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:
auto;line-height:normal;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt"><span
lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Arial;mso-ansi-language:EN-US;
mso-fareast-language:EN-GB">Collaboration with researchers at the
University of Bonn (VR expertise and behavioral analyses)</span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:
auto;line-height:normal;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt"><span
lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Arial;mso-ansi-language:EN-US;
mso-fareast-language:EN-GB">The active and rich environment at the
Computational Neuroscience lab (supervised by Peter Dayan)</span><span
lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;mso-bidi-font-family:
Arial;mso-ansi-language:EN-US">, where you are expected to
participate in group activities as well as pursue your
Master’s project.</span><span lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Arial;mso-ansi-language:EN-US;
mso-fareast-language:EN-GB"></span></li>
</ul>
<p>
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<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;
line-height:normal;mso-outline-level:3"><b><span lang="EN-US"
style="mso-bidi-font-size:
10.0pt;font-family:Helvetica;mso-fareast-font-family:"Times New Roman";
mso-bidi-font-family:Arial;color:black;mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">Q</span></b><b><span lang="DE"
style="mso-bidi-font-size:10.0pt;
font-family:Helvetica;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:
Arial;color:black;mso-fareast-language:EN-GB">ualifications</span></b><b><span
lang="EN-US"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica;mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Arial;color:black;mso-ansi-language:
EN-US;mso-fareast-language:EN-GB">/Experience:</span></b></p>
<ul type="disc">
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:
auto;line-height:normal;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt"><span
lang="EN-US"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica;
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
mso-ansi-language:EN-US;mso-fareast-language:EN-GB">Strong
programming skills are essential (Python or R)</span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:
auto;line-height:normal;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt"><span
lang="EN-US"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica;
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
mso-ansi-language:EN-US;mso-fareast-language:EN-GB">Knowledge of
POMDPs and experience implementing related models (more
experience is a plus)</span></li>
</ul>
<p>
</p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;
line-height:normal;mso-outline-level:3"><b><span lang="DE"
style="mso-bidi-font-size:
10.0pt;font-family:Helvetica;mso-fareast-font-family:"Times New Roman";
mso-bidi-font-family:Arial;color:black;mso-fareast-language:EN-GB">Student
tasks:</span></b></p>
<ul type="disc">
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:
auto;line-height:normal;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt"><span
lang="DE"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica;mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Arial;mso-fareast-language:EN-GB">Improve
and clean existing code</span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:
auto;line-height:normal;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt"><span
lang="EN-US"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica;
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
mso-ansi-language:EN-US;mso-fareast-language:EN-GB">Extend POMDP
model to generate optimal behavior</span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:
auto;line-height:normal;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt"><span
lang="EN-US"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica;
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
mso-ansi-language:EN-US;mso-fareast-language:EN-GB">Compare model
predictions to human behavior</span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:
auto;line-height:normal;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt"><span
lang="DE"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica;mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Arial;mso-fareast-language:EN-GB">Writ</span><span
lang="EN-US"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica;
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
mso-ansi-language:EN-US;mso-fareast-language:EN-GB">e</span><span
lang="DE"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica;mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Arial;mso-fareast-language:EN-GB">
the Master thesis</span></li>
</ul>
<p>
</p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;
line-height:normal"><span lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
color:black;mso-ansi-language:EN-US;mso-fareast-language:EN-GB">Remuneration
is
based on qualifications and professional experience. The Max
Planck Society is
an equal opportunity employer: Handicapped individuals are
strongly encouraged
to apply, and so are women in areas in which they are
underrepresented. The Max
Planck Society strives for gender and diversity equality. We
welcome applications
from all backgrounds</span><span lang="EN-US"
style="font-size:11.0pt;font-family:
Helvetica;color:black;mso-ansi-language:EN-US"> and aim for a fair
hiring
process—so applicants should not include a photo in their
application
documents.</span><span lang="EN-US"
style="font-size:11.0pt;font-family:Helvetica;
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
color:black;background:yellow;mso-highlight:yellow;mso-ansi-language:EN-US;
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<p>
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<p class="MsoNormal" style="margin-bottom:0cm;line-height:normal"><span
lang="DE"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica">Max-Planck-Institut
für
biologische Kybernetik<br>
Max-Planck-Ring 8<br>
72076 Tübingen<br>
</span><span lang="DE"><a href="http://www.kyb.mpg.de/"><span
style="mso-bidi-font-size:
10.0pt;font-family:Helvetica;color:black;mso-themecolor:text1;text-decoration:
none;text-underline:none">www.kyb.mpg.de</span></a></span><span
lang="DE"
style="mso-bidi-font-size:10.0pt;font-family:Helvetica"></span></p>
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