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    <p class="MsoNormal" style="text-align:justify"><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US">The
        Machine Vision and Learning group (</span><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US"><span
          style="font-size:11.0pt;mso-fareast-font-family:"Times
          New Roman"" lang="EN-GB"><a
            href="https://ommer-lab.com/research" moz-do-not-send="true">https://ommer-lab.com/research</a></span>)
        headed by </span><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US"><b><span
            style="font-size:11.0pt;mso-fareast-font-family:"Times
            New Roman"" lang="EN-GB"><a
              href="https://ommer-lab.com/people/ommer"
              moz-do-not-send="true">Björn Ommer @ University of Munich</a></span></b>
        (previously Heidelberg University) is offering fully funded PhD
        and PostDoc positions. Possible research topics are for instance
        within the areas of <b>generative models for image and video
          synthesis, explainable AI, deep metric and representation
          learning, and visual retrieval and pursue the latest
          approaches in deep learning.</b> There is also the optional
        possibility to explore applications of this fundamental research
        through existing university and industry collaborations of our
        group.</span></p>
    <p class="MsoNormal" style="text-align:justify"><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US"> </span></p>
    <p class="MsoNormal" style="text-align:justify"><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US">You
        should be curious, highly motivated, and creative and we hope
        you are a great person to complement our team. Strong
        analytical, programming, and English skills and prior practical
        experience in ML/CV are required. Our group offers a nice,
        friendly, and inspiring environment for your future research,
        broad experience in the latest deep learning techniques, access
        to high-performance GPU infrastructure, and an excellent
        location in downtown Munich. We provide fully funded positions
        with a competitive salary and benefits. </span></p>
    <p class="MsoNormal" style="text-align:justify"><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US"> </span></p>
    <p class="MsoNormal" style="text-align:justify"><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US">Your
        application should include a CV, a transcript of records, two
        academic references, and a short (1-2 pages) statement of
        research, summarizing your past and future research interests.
        Please explain why you are passionate about these and highlight
        the practical experience you have gained so far.</span></p>
    <p class="MsoNormal" style="text-align:justify"><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US">We
        welcome direct applications, or through the ELLIS program.
        Please send your PDF to </span><span lang="EN-GB"><a
          href="mailto:" moz-do-not-send="true"><span
            style="font-size:11.0pt">applications.mvl@lrz.uni-muenchen.de</span></a></span><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US">.</span></p>
    <p class="MsoNormal" style="text-align:justify"><span
        style="font-size:11.0pt;mso-ansi-language:EN-US" lang="EN-US">For
        questions,</span><span
        style="font-size:11.0pt;mso-fareast-font-family:"Times New
        Roman"" lang="EN-GB"> please contact Prof. Dr. Björn Ommer
        (<a href="https://ommer-lab.com/people/ommer"
          moz-do-not-send="true">https://ommer-lab.com/people/ommer</a>).</span></p>
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