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<p><b>Position as Postdoctoral Scholar in Computational Neuroscience</b><br>
<br>
Are you curious about how the human brain stores memories? Have
you wondered how we manage to navigate through space? Our dynamic
research group uses diverse computational modeling approaches,
including biological neural networks, cognitive modeling, and
machine learning/artificial intelligence, to study learning and
memory. </p>
<p>Currently, we are actively seeking a talented <b>Postdoc</b> to
join our team, someone whose primary task will be developing
advanced algorithms to analyze learning dynamics. You will be
analyzing neural, psychophysiological, and behavioral data from
other projects within the SFB 1280 (<a
class="moz-txt-link-freetext"
href="https://sfb1280.ruhr-uni-bochum.de/en/home/">https://sfb1280.ruhr-uni-bochum.de/en/home/</a>
project F01) to compare learning dynamics across individuals,
species, and paradigms. You will provide theoretical support to
collaborating projects and coordinate the analysis of the data
collected from experimental groups. </p>
<p>This position is 100% at TV-L E13, starting on 01.11.2026, and is
funded until 30.06.2029.<br>
<br>
<b>Your Profile:</b><br>
<br>
Candidates must have:</p>
<ul>
<li>an excellent doctoral degree in neuroscience, physics,
mathematics, engineering, or a related field (mandatory)</li>
<li>competence in mathematical modeling (mandatory)</li>
<li>excellent programming skills, e.g., Python (mandatory)</li>
<li>relevant research experience in neuroscience or a related
field is required</li>
<li>experience in the study of learning dynamics</li>
<li>experience working within a collaborative research group</li>
<li>excellent communication skills in English, and</li>
<li>team spirit.</li>
</ul>
<p>We are committed to providing a supportive work environment for
female researchers and those with young children. Our university
provides mentoring and coaching opportunities specifically aimed
at women in research. We have a strong research network with
female role models and will provide opportunities to meet with
them. Wherever possible, events will be scheduled during regular
childcare hours. Special childcare can be arranged if events have
to be scheduled outside of regular hours, in case of sickness and
during school or daycare closures. Where childcare is not an
option parents will be offered a home office solution. We strongly
encourage applications from qualified women and persons with
disabilities.<br>
<br>
The official posting for this position can be found at: <a
href="https://jobs.ruhr-uni-bochum.de/jobposting/b81cacbb31ca4a82e41631d1529f1ba6889ff4e10?ref=homepage"
class="moz-txt-link-freetext">https://jobs.ruhr-uni-bochum.de/jobposting/b81cacbb31ca4a82e41631d1529f1ba6889ff4e10?ref=homepage</a></p>
<p
href="https://jobs.ruhr-uni-bochum.de/en/jobposting/b81cacbb31ca4a82e41631d1529f1ba6889ff4e10/apply?ref=homepage">To
apply please submit an application via our online portal <a
href="https://jobs.ruhr-uni-bochum.de/en/jobposting/b81cacbb31ca4a82e41631d1529f1ba6889ff4e10/apply?ref=homepage"
class="moz-txt-link-freetext">https://jobs.ruhr-uni-bochum.de/en/jobposting/b81cacbb31ca4a82e41631d1529f1ba6889ff4e10/apply?ref=homepage</a> Upload
your letter of motivation, CV, transcripts and research statement.</p>
<p><b>Application deadline:</b> 22.06.2026</p>
<p>Please feel free to get in touch with me if you have any
questions. </p>
<br>
<pre class="moz-signature" cols="72">--
Lisa Grunau
Teamassistenz
Fakultät für Informatik
Institut für Neuroinformatik
Ruhr-Universität Bochum
Postanschrift:
Universitätsstraße 150
44801 Bochum, Germany
Phone: +49 234-32-18137
Email: <a class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:lisa.grunau@rub.de">lisa.grunau@rub.de</a>
Office: NB 3/74
Website: <a class="moz-txt-link-freetext"
href="https://www.ini.rub.de/research/groups/computational_neuroscience">https://www.ini.rub.de/research/groups/computational_neuroscience</a></pre>
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