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<i>Please circulate - apologies for cross-posting.</i>
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<p>The <a moz-do-not-send="true"
href="https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fbachlab.org%2F&data=04%7C01%7Cd.bach%40ucl.ac.uk%7Ce83c930304a54adb98d908d9e727f7ef%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637794982333088555%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=%2BrCR4cDmuKU0oFVqdU%2BOt16nnUmMK1zEtgggP3gzni4%3D&reserved=0"
originalsrc="http://bachlab.org/"
shash="OfqqIKqSXdaUgS/BJJMWp4dil2OentaARoaZZ4WkQPf/zGd50PacGywmO007sx2xS2TeGgCt4flVfKOr5WhIo77svL0oZDNMeTk3mg3WQTGzrWSFtaN8NO9G51QcgleENo5eNtZZNET5Rz+c35q2ywJKCxzkHArxo5SaJ4qIYm8=">Hertz
Chair for Artificial Intelligence and Neuroscience</a> at
<a moz-do-not-send="true"
href="https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.uni-bonn.de%2Fen&data=04%7C01%7Cd.bach%40ucl.ac.uk%7Ce83c930304a54adb98d908d9e727f7ef%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637794982333088555%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=9Wg6KjJvxg9NS2Bp8beV0LbhMvqf2mnR%2FSfrP%2Fdaon4%3D&reserved=0"
originalsrc="http://www.uni-bonn.de/en"
shash="CZqHoDCwAcDOTt+T97/4xUTvO2s56cxGo8zJkPR6emBEFxR8mHhSLwSSgwzsiMTLyFNQErc2udSX30tLCG0VR1Le8E33Mp/GzbICKZa9/90e4cMAbatkhlKXlNlNf8cwbHJE8CrHl/r3WJP/lpSnOtEo7jr+y/7hlkLrODc+thc=">University
of Bonn</a> is looking to recruit postdoctoral fellows for
an interdisciplinary neuroscience research program coordinated
and supervised by Professor Dominik Bach. This program brings
together researchers with expertise in
cognitive(-computational) science, movement science,
machine-learning, and software development. This provides an
exciting opportunity for postdoctoral candidates to work at
the cutting edge of human cognitive science and neuroscience
research. Collaboration partners in this endeavour are based
at Max-Planck-Institute for Biological Cybernetics in Tübingen
(Germany), University of Tübingen (Germany), Max-Planck UCL
Centre for Computational Psychiatry (UK) and Wellcome Centre
for Human Neuroimaging (UK).<br>
<br>
The aim of the research is to understand the <b>cognitive
neurobiology of human threat avoidance</b>, in terms of
acute escape behaviour as well as medium- and long-term threat
forecasting. Our research strongly builds on computational
modelling of behaviour and neural systems, theories of
artificial agents, machine-learning methods such as pose
estimation and motion sequencing, and research automation by
software design and by self-learning data analysis methods.
Our team culture is collaborative, agile, and shaped by
technical sophistication. We believe in open, reproducible,
and sustainable precision science. We host a state-of-the-art
virtual reality and motion capture lab, and have access to
human neuroimaging facilities (3 T and 7 T MRI, OPM-MEG).
<br>
<br>
The successful candidates will be based at the <b>University
of Bonn, Campus Endenich</b>, in direct vicinity to natural
and computer science departments and other interdisciplinary
Hertz Chairs. The University of Bonn is an internationally
leading research university, providing an intellectually
stimulating environment. At University of Bonn, postdoctoral
salaries start at around 55'000 €/year depending on prior
post-doctoral experience. The positions are available on or
after 1 April 2022. An initial appointment for a two-year
period will be made with potential for extension depending on
successful performance of research and publications.
University of Bonn is committed to diversity and encourages
applications from underrepresented groups.
<br>
<br>
Qualified postdoctoral applicants should submit a current CV
including publication list, a personal statement describing
their experience and interests, and contact information for
three references to
<a class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:d.bach@uni-bonn.de" moz-do-not-send="true">
d.bach@uni-bonn.de</a>.<br>
<br>
<b>Post doc positions are initially based in the following
fields. We welcome enquries from candidates in related
fields of cognitive-computational neuroscience.</b><br>
<b><br>
</b><b>Post doc Motion Capture</b><br>
The goal is to understand human motor behaviour under acute,
immediate threat. We investigate this in an immersive virtual
reality (VR) environment, in which people can move to avoid
various threats. The candidate will conduct full-body
markerless and marker-based motion capture, pose estimation,
recover kinematics, and structure the recorded movement
trajectories with statistical and machine-learning models.
<br>
<br>
Applicants should have (or be close to obtaining) a PhD in
machine-learning, robotics, computer science, motor science,
biomechanics, computational neuroscience, or a related area,
by the agreed start date of the position. Experience with
motion capture, pose estimation, inverse kinematics (in humans
or robots), movement trajectory analysis and
structuring/sequencing are essential. Strong background in
contemporary machine-learning and applied statistics is
essential, as are solid mathematical skills and good general
IT and software development knowledge. Familiarity with
virtual reality and/or human/animal defensive behaviour would
be desirable.<br>
<br>
<b>Post doc VR</b><br>
The goal is to develop a cognitive-computational understanding
of human decision-making under acute, immediate threat. We
investigate this in an immersive virtual reality (VR)
environment, in which people can move to avoid various
threats. The candidate's role will be to maintain and advance
an existing Unity-based research platform, build specific
suitable scenarios, conduct experimental studies with this
setup, and analyse the data.
<br>
<br>
Applicants should have (or be close to obtaining) a PhD in
cognitive-computational (neuro)science, applied
machine-learning, biomechanics, motor science, a quantitative
field of psychology (e.g. decision-making, perception), or a
related area by the agreed start date of the position.
Experience with Unity and C# are essential, familiarity with R
would be desirable. The successful candidate will have
experience in programming is essential, solid knowledge of
decision science, applied statistics and a good publication
record.<br>
<br>
<b>Post doc learning theory</b><br>
The goal is to understand the computational algorithms by
which humans learn to predict and avoid threat.
Experimentally, we investigate this using human fear
conditioning and VR-based avoidance learning. The candidate
will build and test computational learning models using
existing experimental data, and design new experiments to
disambiguate candidate models. They will maintain and advance
software frameworks for model benchmarking and Bayesian
experimental design optimisation, and model-based data
analysis.
<br>
</p>
<p>Applicants should have (or be close to obtaining) a PhD in
cognitive-computational (neuro)science, computer science,
machine learning, mathematics, a quantitative field of
psychology (e.g. decision-making, perception), or a related
area by the agreed start date of the position. Experience with
learning theory in biological or artificial agents is
essential; familiarity with analysis of
biological/psychological data would be desirable. The
successful candidate will have solid knowledge of mathematical
statistics and experience with modern software development
techniques.</p>
<p><b>Post doc software development</b><br>
Our goal is to develop open, reproducible and sustainable,
precision methods in the field of human cognitive
neuroscience. To this end, we develop and maintain several
software frameworks for computational model benchmarking,
model-based data analysis, Bayesian experimental design
optimisation, and collaborative data bases. The candidate will
build on contemporary methods theory and metrology to advance
and integrate these tools into an autonomous, continuously
integrating, and self-learning software ecosystem.
<br>
</p>
<p>Applicants should have (or be close to obtaining) a PhD in
computer science, cognitive-computational (neuro)science,
software engineering, machine learning, mathematics, a
quantitative field of psychology (e.g. decision-making,
perception), or a related area by the agreed start date of the
position. Experience with modern software development
techniques is essential. A good understanding of
cognitive-computational modelling and data sharing practices
would be desirable. The successful candidate will have solid
knowledge of applied statistics and machine learning, and
experience with managing biological/psychological data.<br>
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