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<b>Title of the position:</b> Research associate for the project "Similarity Measurement of Visual Patterns in Written Artefacts"</div>
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<b>Institution:</b> Cluster of Excellence „Understanding Written Artefacts“</div>
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<b>Salary level:</b> EGR. 13 TV-L</div>
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<b>Start date:</b> 01.10.2022, fixed until 31.12.2025 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).</div>
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<b>Application deadline:</b> 06.09.2022 </div>
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<p><b>Apply using the following link:</b></p>
<p><a href="https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=f160068e2df66bbeadfb678c419e1a33e29ea56c" target="_blank" rel="noopener noreferrer" class="x_x_x_x_x_OWAAutoLink" id="LPlnk849280" previewremoved="true"></a><a href="https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=0185f528d7671b0ae1dc5d00bcf7ce55d2c85a9f" target="_blank" rel="noopener noreferrer" class="x_x_OWAAutoLink" id="LPlnk653615" previewremoved="true">https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=0185f528d7671b0ae1dc5d00bcf7ce55d2c85a9f</a></p>
<p><a href="https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=0185f528d7671b0ae1dc5d00bcf7ce55d2c85a9f" target="_blank" rel="noopener noreferrer" class="x_x_OWAAutoLink"></a><b>Scope of work:</b> full-time position</p>
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<b>Responsibilities:</b> Duties primarily include research.</div>
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<b>Specific Duties:</b> Research in the frame of the project “Similarity Measurement of Visual Patterns in Written Artefacts” in the Cluster’s research field Artefact Profiling. This includes publications and further studies relating to the project, participation
in the Cluster’s research activities, the organisation of scholarly events. </div>
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<span style="color: rgb(78, 78, 78); font-family: TheSansUHH, sans-serif, serif, EmojiFont; font-size: 16px;">The applicant is expected to research, implement and test various deep-learning approaches and loss functions for different computer vision tasks such
as classification, detection and clustering.</span></div>
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<b>Requirements:</b> <span style="color: rgb(78, 78, 78); font-family: TheSansUHH, sans-serif, serif, EmojiFont; font-size: 16px;">A university degree in a relevant subject plus doctorate degree in computer vision</span>. </div>
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In addition, <span style="font-size: 12pt;">a very good theoretical and practical knowledge in:</span></div>
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<li>machine learning</li><li>deep learning</li><li>computer vision algorithms</li></ul>
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Preferred skills to have are:</div>
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<li>Tensorflow and Python</li><li>ASP.NET and C#</li><li>OpenCV</li></ul>
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Very good knowledge of written and spoken English is required.</div>
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As a University of Excellence, Universität Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also
provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally.</div>
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The Free and Hanseatic City of Hamburg promotes equal opportunity. As men are currently underrepresented in this job category at Universität Hamburg according to the evaluation conducted under the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz,
HambGleiG), we encourage men to apply for this position. Equally qualified and suitable male applicants will receive preference.</div>
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Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.</div>
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<p>Any application by email will be ignored, only applications through the link above will be considered.</p>
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<p><span style="color:rgb(33,33,33); font-family:Tahoma,serif,EmojiFont; font-size:13px">---------------------------------------------------------------------------------</span><br style="color:rgb(33,33,33); font-family:Tahoma,serif,EmojiFont; font-size:13px">
<span style="color:rgb(33,33,33); font-family:Tahoma,serif,EmojiFont; font-size:13px">Dr. rer. nat. Hussein Adnan Mohammed</span><br style="color:rgb(33,33,33); font-family:Tahoma,serif,EmojiFont; font-size:13px">
<a href="https://www.csmc.uni-hamburg.de/about/people/mohammed.html" target="_blank" rel="noopener noreferrer" id="LPNoLP" style="font-family:Tahoma,serif,EmojiFont; font-size:13px">https://www.csmc.uni-hamburg.de/about/people/mohammed.html</a><span style="color:rgb(33,33,33); font-family:Tahoma,serif,EmojiFont; font-size:13px"> </span><br>
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