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<p><b style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"><span lang="EN-GB" style="font-family:"Times New Roman",serif">Call for Student
</span></b><b style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"><span lang="EN-US" style="font-family:"Times New Roman",serif">R</span></b><b style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"><span lang="EN-GB" style="font-family:"Times New Roman",serif">esearch
</span></b><b style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"><span lang="EN-US" style="font-family:"Times New Roman",serif">A</span></b><b style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"><span lang="EN-GB" style="font-family:"Times New Roman",serif">ssistant
position</span></b><br>
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<p class="MsoNormal"><span lang="EN-US" style="font-family:"Times New Roman",serif"> </span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif">In the context of a research project in the Excellence Cluster “Science of Intelligence” (Berlin), we are offering a student assistant position (60 hours/month), initially till
30.11.2023, possibly longer. </span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif"> </span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif">In our research project “Developing exploration behavior”, we investigate
</span><span lang="EN-US" style="font-family:"Times New Roman",serif">the development of intelligent behavior, using high resolution behavioral tracking data</span><span lang="EN-GB" style="font-family:"Times New Roman",serif">. We are particularly interested
</span><span lang="EN-US" style="font-family:"Times New Roman",serif">in how behavioral variation arises through development from identical start points, and we employ a unique biological model system, a fully clonal fish species, the Amazon molly, that allows
us to work with a large number of identical twins, tracked from day 1 of their life.
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif">The main research aim is to understand
</span><span lang="EN-US" style="font-family:"Times New Roman",serif">the rules generating individual-level variation through development, and we employ high resolution tracking data to uncover such rules. This involves the organization and analysis of massive
amounts of data spanning entire early life period of individuals. We aim to apply sophisticated unsupervised machine learning algorithms to this dataset in order to classify behavioral motifs present in our data.
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif"></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif"> </span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif">The specific tasks for the research assistant in the project are:
</span></p>
<ul>
<li><span style="font-family:"Times New Roman",serif">Literature search </span></li><li><span lang="EN-GB" style="font-family:"Times New Roman",serif">Experimental data revision and processing;
</span></li><li><span lang="EN-US" style="font-family:"Times New Roman",serif">S</span><span lang="EN-GB" style="font-family:"Times New Roman",serif">upport in computational model implementation, testing, and large-scale numerical simulations
</span></li><li><span lang="EN-GB" style="font-family:"Times New Roman",serif">Support in </span>
<span lang="EN-US" style="font-family:"Times New Roman",serif">building data pipelines for the analysis of big data</span><span lang="EN-US" style="font-family:"Times New Roman",serif">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif"></span></li></ul>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif"> </span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif">We seek for motivated students with strong computer skills with a background in
</span><span lang="EN-US" style="font-family:"Times New Roman",serif">computer science,
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif">(bio)physics, (bio)informatics, or related natural or engineering sciences and interest in computational biology and/or
</span><span lang="EN-US" style="font-family:"Times New Roman",serif">biological big data</span><span lang="EN-GB" style="font-family:"Times New Roman",serif">.
</span><span style="font-family:"Times New Roman",serif">Applicants should have the corresponding proven skills:
</span></p>
<ul>
<li><span lang="EN-GB" style="font-family:"Times New Roman",serif">very good general computer skills (Office, Presentationsoftware)
</span><span lang="EN-US" style="font-family:"Times New Roman",serif"></span></li><li><span lang="EN-GB" style="font-family:"Times New Roman",serif">very good programming skills (Python, C/C++ or comparable)
</span></li><li><span lang="EN-GB" style="font-family:"Times New Roman",serif">good English skills (oral and written)
</span></li></ul>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif"> </span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif">Further, previous experience in either of the following areas are strong additional assets:
</span></p>
<ul>
<li><span lang="EN-US" style="font-family:"Times New Roman",serif">Big data analytical tools</span></li><li><span lang="EN-US" style="font-family:"Times New Roman",serif">Supercomputing/cluster computing</span></li><li><span lang="EN-US" style="font-family:"Times New Roman",serif">Familiarity with some of the following Python libraries: scikitlearn, matplotlib, Numpy, TensorFlow, etc.
</span></li><li><span lang="EN-US" style="font-family:"Times New Roman",serif">Familiarity with unsupervised machine learning techniques</span></li><li><span lang="EN-US" style="font-family:"Times New Roman",serif">GitHub</span></li></ul>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Times New Roman",serif"><span style=""> </span></span><span style="font-family:"Times New Roman",serif"></span></p>
<p class="MsoNormal"><span style="font-family:"Times New Roman",serif"> </span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif">Please send you application (short motivation letter mentioning also your relevant skills and previous experience, CV, transcript of records) until 2</span><span lang="EN-US" style="font-family:"Times New Roman",serif">2.1.2023</span><span lang="EN-GB" style="font-family:"Times New Roman",serif">
via Email to: </span><span lang="EN-US" style="font-family:"Times New Roman",serif">Dr. Sean Ehlman, Humboldt University, seanehlman@gmail.com</span></p>
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