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<span lang="EN-US">Applications for a PhD position focusing on the development of "Automated Deep Learning" methods are invited. The PhD position is funded by Robert Bosch GmbH and located at the company's new center for research and advance engineering in
 Renningen, Germany (</span><a href="www.bosch-renningen.de/en/"><span lang="EN-US" style="color:windowtext;text-decoration:none">www.bosch-renningen.de/en/</span></a><span lang="EN-US">). More details can be found below or under the URL
</span><a href="https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE69D97FB4FFB73DDF4"><span lang="EN-US" style="color:windowtext;text-decoration:none">https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE69D97FB4FFB73DDF4</span></a><span lang="EN-US">.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:10.0pt;line-height:115%;text-autospace:none">
<span lang="EN-US">More details: <o:p></o:p></span></p>
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<span lang="EN-US">Deep learning is currently one of the most exciting fields in machine learning and artificial intelligence. The number of impressive applications is increasing fast, for example in computer vision, speech recognition, but also in learning
 control. Besides applications, there are many challenging unsolved theoretical questions involved. At our machine learning group, practical as well as theoretical deep learning questions arise. Thus, the research direction of the PhD can be shaped according
 to the profile and interest of the PhD candidate. Established contacts to excellent academic institutes will be employed for PhD supervision. Part of the position are:<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Development and implementation of "automated machine learning" algorithms that support the process of devising, training, and deploying novel architectures for convolutional and recurrent deep neural networks.<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Extending methods for automated machine learning (e.g., Bayesian Optimization) such that they can optimize the structure of deep neural networks along with their hyperparameters<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Empirical evaluation of the developed methods on public and corporate datasets for image classification, semantic segmentation, action recognition, and time-series analysis<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Technical discussions and creation of new ideas & applications within the existing deep learning research team, strong collaboration within a diverse research team<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Publications at top tier conferences and journals<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Focus on PhD thesis ensured, no project work required<o:p></o:p></span></p>
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<span lang="EN-US">What distinguishes you:<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Masters degree in Computer Science, Mathematics, Physics, Engineering or similar<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Profound knowledge of Machine Learning, preferably Deep Learning or Bayesian Optimization<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Good programming skills, preferably experience with the scientific Python stack and theano or tensorflow<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Personal commitment<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Teamplayer and flexibility<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-bottom:10.0pt;text-indent:-18.0pt;line-height:115%;mso-list:l0 level1 lfo2;text-autospace:none">
<![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span lang="EN-US">Fluent spoken and written in English<o:p></o:p></span></p>
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<span lang="EN-US"><o:p> </o:p></span></p>
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<span lang="EN-US">For applying to the announced position, please refer to </span>
<a href="https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE69D97FB4FFB73DDF4"><span lang="EN-US" style="color:windowtext;text-decoration:none">https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE69D97FB4FFB73DDF4</span></a><span lang="EN-US">.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:10.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:black;mso-fareast-language:DE">Mit freundlichen Grüßen / Best regards
<br>
<br>
<b>Dr. Jan Hendrik Metzen<br>
</b><br>
Cognitive Systems (CR/AEY2) <br>
Robert Bosch GmbH | Renningen | 70465 Stuttgart | <span style="text-transform:uppercase">
GERMANY</span></span><span style="font-size:12.0pt;font-family:"Times New Roman",serif;mso-fareast-language:DE"> |
</span><a href="http://www.bosch.com"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:blue;mso-fareast-language:DE">www.bosch.com</span></a><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:black;mso-fareast-language:DE">
<br>
Tel. +49 711 81148904 | Mobil +49 172 7526499 | </span><a href="mailto:JanHendrik.Metzen@de.bosch.com"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:blue;mso-fareast-language:DE">JanHendrik.Metzen@de.bosch.com</span></a><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:black;mso-fareast-language:DE">
</span><span style="font-size:8.0pt;font-family:"Arial",sans-serif;color:black;mso-fareast-language:DE"><br>
<br>
Sitz: Stuttgart, Registergericht: Amtsgericht Stuttgart, HRB 14000;<br>
Aufsichtsratsvorsitzender: Franz Fehrenbach; Geschäftsführung: Dr. Volkmar Denner,<br>
Dr. Stefan Asenkerschbaumer, Dr. Rolf Bulander, Dr. Stefan Hartung, Dr. Markus Heyn, Dr. Dirk Hoheisel,<br>
Christoph Kübel, Uwe Raschke, Dr. Werner Struth, Peter Tyroller </span><o:p></o:p></p>
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