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    <p class="MsoNormal"
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        style="font-size:
        12.0pt;font-family:"Arial",sans-serif">The Artificial
        Intelligence research
        group (Prof. Dr. Kai-Uwe Kühnberger) of the <b>Institute of
          Cognitive Science </b>invites
        applications for</span></p>
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text-align:center;line-height:normal;mso-layout-grid-align:none;text-autospace:
      none" align="center"><b><span
          style="font-size:12.0pt;font-family:"Arial",sans-serif">2
          Research Assistants (f/m/d)</span></b></p>
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text-align:center;line-height:normal;mso-layout-grid-align:none;text-autospace:
      none" align="center"><b><span
          style="font-size:12.0pt;font-family:"Arial",sans-serif">(Salary
          level E 13 TV-L, 75 %)</span></b></p>
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text-align:center;line-height:normal;mso-layout-grid-align:none;text-autospace:
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          style="font-size:12.0pt;font-family:"Arial",sans-serif"> </span></b></p>
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        style="font-size:
        12.0pt;font-family:"Arial",sans-serif">to be filled as
        soon as possible for a period
        until March 31, 2021<span style="color:red">. </span></span></p>
    <p class="MsoNormal"
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          style="font-size:12.0pt;font-family:"Arial",sans-serif">Description
          of
          Responsibilities:</span></b></p>
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        style="font-size:
        12.0pt;font-family:"Arial",sans-serif">The position
        involves participation in
        research activities of a ZIM funded joint project of the
        Institute of Cognitive
        Science and AIM GmbH, Hannover. The project aims at developing a
        new generation
        of decision support technologies for logistics. To this end,
        data from
        heterogeneous sources have to be integrated and used for
        predicting demands and
        potential bottlenecks in business processes. The system’s
        decisions have to be
        presented in a comprehensible and transparent way to the user.
        Our overall goal
        is to develop scalable and explainable AI and machine learning
        methods for
        planning logistical processes.</span></p>
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      12.0pt;font-family:"Arial",sans-serif"> </span>
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style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Required
          Qualifications:</span></b></p>
    <p class="MsoListParagraphCxSpFirst"
      style="margin-top:0cm;margin-right:0cm;
margin-bottom:0cm;margin-left:18.0pt;margin-bottom:.0001pt;mso-add-space:auto;
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      none;text-autospace:none"><span style="font-size:12.0pt;
font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:Symbol;
        color:black"><span style="mso-list:Ignore">·<span
            style="font:7.0pt "Times New Roman"">      
          </span></span></span><span
        style="font-size:12.0pt;font-family:"Arial",sans-serif;
        color:black">Applicants should have an excellent academic degree
        (Master/diploma) in a relevant discipline and basic knowledge in
        artificial
        intelligence, machine learning and statistics.</span></p>
    <p class="MsoListParagraphCxSpMiddle"
      style="margin-top:0cm;margin-right:0cm;
margin-bottom:0cm;margin-left:18.0pt;margin-bottom:.0001pt;mso-add-space:auto;
      text-indent:-18.0pt;line-height:normal;mso-list:l0 level1
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      none;text-autospace:none"><span style="font-size:12.0pt;
font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:Symbol;
        color:black"><span style="mso-list:Ignore">·<span
            style="font:7.0pt "Times New Roman"">      
          </span></span></span><span
        style="font-size:12.0pt;font-family:"Arial",sans-serif;
        color:black">Experience in the optimization of business
        processes, the analysis
        of time series data, or related areas is an advantage. </span></p>
    <p class="MsoListParagraphCxSpMiddle"
      style="margin-top:0cm;margin-right:0cm;
margin-bottom:0cm;margin-left:18.0pt;margin-bottom:.0001pt;mso-add-space:auto;
      text-indent:-18.0pt;line-height:normal;mso-list:l0 level1
      lfo1;mso-layout-grid-align:
      none;text-autospace:none"><span style="font-size:12.0pt;
font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:Symbol;
        color:black"><span style="mso-list:Ignore">·<span
            style="font:7.0pt "Times New Roman"">      
          </span></span></span><span
        style="font-size:12.0pt;font-family:"Arial",sans-serif;
        color:black">Good programming skills and experience with
        libraries for machine
        learning or statistics are mandatory (e.g. Python SciPy Stack,
        TensorFlow, Keras).</span></p>
    <p class="MsoListParagraphCxSpMiddle"
      style="margin-top:0cm;margin-right:0cm;
margin-bottom:0cm;margin-left:18.0pt;margin-bottom:.0001pt;mso-add-space:auto;
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      lfo1;mso-layout-grid-align:
      none;text-autospace:none"><span style="font-size:12.0pt;
font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:Symbol;
        color:black"><span style="mso-list:Ignore">·<span
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          </span></span></span><span
        style="font-size:12.0pt;font-family:"Arial",sans-serif;
        color:black">An interest in applying AI technologies to
        real-world problems. </span></p>
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      style="margin-top:0cm;margin-right:0cm;
margin-bottom:0cm;margin-left:18.0pt;margin-bottom:.0001pt;mso-add-space:auto;
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      none;text-autospace:none"><span style="font-size:12.0pt;
font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:Symbol;
        color:black"><span style="mso-list:Ignore">·<span
            style="font:7.0pt "Times New Roman"">      
          </span></span></span><span
        style="font-size:12.0pt;font-family:"Arial",sans-serif;
        color:black">A good command of the English language is
        mandatory.</span></p>
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      12.0pt;font-family:"Arial",sans-serif;color:black"> </span>
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        style="font-size:
        12.0pt;font-family:"Arial",sans-serif;color:black">Osnabrück
        University has
        been certified as a family-friendly university committed to
        helping
        working/studying parents and carers balance their family and
        work life. </span></p>
    <span style="font-size:
      12.0pt;font-family:"Arial",sans-serif;color:black"> </span>
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      normal;mso-layout-grid-align:none;text-autospace:none"><span
        style="font-size:
        12.0pt;font-family:"Arial",sans-serif;color:black">The
        university aspires to
        ensure equal opportunities for men and women and strives to work
        towards a
        gender balance in schools or departments where new appointments
        are made.</span><span style="font-size:
        12.0pt;font-family:"Arial",sans-serif;color:black"> </span>
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        style="font-size:
        12.0pt;font-family:"Arial",sans-serif;color:black">If
        equally qualified
        candidates apply, preference will be given to those with special</span><span
        style="font-size:
        12.0pt;font-family:"Arial",sans-serif;color:black">
        needs.</span>
    </p>
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        style="font-size:
        12.0pt;font-family:"Arial",sans-serif">Please send
        your application consisting
        of the usual documents as a single PDF file to
        <a class="moz-txt-link-abbreviated" href="mailto:kkuehnbe@uni-osnabrueck.de">kkuehnbe@uni-osnabrueck.de</a> (Prof.
        Dr. Kai-Uwe Kühnberger) and to <a class="moz-txt-link-abbreviated" href="mailto:office@ikw.uni-osnabrueck.de">office@ikw.uni-osnabrueck.de</a> in
        cc no later than
        December 17, 2019.</span></p>
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      normal;mso-layout-grid-align:none;text-autospace:none"><span
        style="font-size:
        12.0pt;font-family:"Arial",sans-serif"> </span></p>
    <span
style="font-size:12.0pt;line-height:107%;font-family:"Arial",sans-serif;mso-fareast-font-family:Calibri;mso-fareast-theme-font:minor-latin;mso-ansi-language:
      EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">Further
      information
      can be obtained from Prof. Dr. Kai-Uwe Kühnberger
      (<a class="moz-txt-link-abbreviated" href="mailto:kkuehnbe@uni-osnabrueck.de">kkuehnbe@uni-osnabrueck.de</a>).</span>
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