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<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt">Dear Students,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt">my lab at Fraunhofer HHI offers two (fully funded, EG13) PhD Positions with the focus:<o:p></o:p></span></p>
<ol style="margin-top:0cm" start="1" type="1">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo1"><span lang="EN-US" style="font-size:11.0pt">Next-generation Explainable AI (<a href="https://jobs.fraunhofer.de/job-invite/62199/">https://jobs.fraunhofer.de/job-invite/62199/</a>)<o:p></o:p></span>
<ul style="margin-top:0cm" type="circle">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level2 lfo1"><span lang="EN-US" style="font-size:11.0pt">Multimodal, higher-order, concept-level and multi-step XAI approaches<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level2 lfo1"><span lang="EN-US" style="font-size:11.0pt">Human-centered explainability and human-in the loop XAI<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level2 lfo1"><span lang="EN-US" style="font-size:11.0pt">XAI beyond classification (e.g., explaining reinforcement learning, segmentation, reasoning problems)<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level2 lfo1"><span lang="EN-US" style="font-size:11.0pt">XAI-based model training, debugging and auditing<o:p></o:p></span></li></ul>
</li></ol>
<p class="MsoListParagraph" style="margin-left:72.0pt"><span lang="EN-US" style="font-size:11.0pt"><o:p> </o:p></span></p>
<ol style="margin-top:0cm" start="2" type="1">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo1"><span lang="EN-US" style="font-size:11.0pt">Reproducible and Trustworthy ML (<a href="https://jobs.fraunhofer.de/job-invite/62201/">https://jobs.fraunhofer.de/job-invite/62201/</a>)<o:p></o:p></span>
<ul style="margin-top:0cm" type="circle">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level2 lfo1"><span lang="EN-US" style="font-size:11.0pt">Research on robustification techniques such as adversarial training, data normalization, robust activation functions<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level2 lfo1"><span lang="EN-US" style="font-size:11.0pt">Development of novel model and data quality metrics<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level2 lfo1"><span lang="EN-US" style="font-size:11.0pt">Analysis of the trustworthiness of XAI methods and development of specific robustification techniques<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level2 lfo1"><span lang="EN-US" style="font-size:11.0pt">Research into different aspects of ML reproducibility (configurations, preprocessing, model and data cards)<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level2 lfo1"><span lang="EN-US" style="font-size:11.0pt">Investigation of the relationship between model performance, robustness and interpretability<o:p></o:p></span></li></ul>
</li></ol>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt">If these topics sound interesting to you, please apply.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt">Best regards,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt">Wojciech Samek<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt;font-family:"tahoma",sans-serif;color:black;mso-fareast-language:EN-GB">--<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt;font-family:"tahoma",sans-serif;color:black;mso-fareast-language:EN-GB">Prof. Dr. Wojciech Samek<br>
Chair for Machine Learning and Communications, TU Berlin<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt;font-family:"tahoma",sans-serif;color:black;mso-fareast-language:EN-GB">Head of AI Department, Fraunhofer HHI<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt;font-family:"tahoma",sans-serif;color:black;mso-fareast-language:EN-GB">Fellow at BIFOLD - Berlin Institute of the Foundations of Learning and Data<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt;font-family:"tahoma",sans-serif;color:black;mso-fareast-language:EN-GB"><br>
Einsteinufer 37, 10587 Berlin, Germany<br>
Phone : +49 30 31002 417<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt;font-family:"tahoma",sans-serif;color:black;mso-fareast-language:EN-GB">Mobil : +49 1511 1780 258<br>
Email : wojciech.samek@hhi.fraunhofer.de<br>
Web : </span><span style="font-size:9.0pt;font-family:"tahoma",sans-serif;color:black;mso-fareast-language:EN-GB"><a href="http://iphome.hhi.de/samek"><span lang="EN-US" style="color:#0563C1">http://iphome.hhi.de/samek</span></a></span><span lang="EN-US" style="font-size:9.0pt;font-family:"tahoma",sans-serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="DE"><o:p> </o:p></span></p>
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