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<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;mso-fareast-language:DE-CH"><img width="188" height="31" style="width:1.9583in;height:.3229in" id="Picture_x0020_1" src="cid:image001.png@01D598A6.C8BCB0E0" alt="eth_logo_kurz_pos"></span></b><b><span lang="EN-US" style="font-family:"Arial",sans-serif"><o:p></o:p></span></b></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-US" style="font-family:"Arial",sans-serif"><o:p> </o:p></span></b></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-US" style="font-family:"Arial",sans-serif"><o:p> </o:p></span></b></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-GB" style="font-family:"Arial",sans-serif">Assistant Professors (Tenure Track) of Computer Science (Data Science)<o:p></o:p></span></b></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Arial",sans-serif">The Department of Computer Science (www.inf.ethz.ch) at ETH Zurich invites applications for assistant professorships (tenure track) with focus on the following broad areas within
computer science. For each area, several possible examples (not exhaustive) of expertise are provided.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;mso-list:l0 level1 lfo1;punctuation-wrap:simple;text-autospace:none">
<![if !supportLists]><span lang="EN-GB" style="font-family:Symbol"><span style="mso-list:Ignore">-<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><b><span lang="EN-GB" style="font-family:"Arial",sans-serif">Data Science / Machine Learning</span></b><span lang="EN-GB" style="font-family:"Arial",sans-serif"> (deep learning, optimization for machine learning, theory of deep
learning, trustworthy learning systems, reinforcement learning)<o:p></o:p></span></p>
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<![if !supportLists]><span lang="EN-GB" style="font-family:Symbol"><span style="mso-list:Ignore">-<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><b><span lang="EN-GB" style="font-family:"Arial",sans-serif">Data Science / Data Management</span></b><span lang="EN-GB" style="font-family:"Arial",sans-serif"> (databases, data management, data cleaning, data wrangling, distributed
data processing, formal aspects of data management, database systems, streaming, hardware acceleration for data processing)<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:3.0pt"><span lang="EN-GB" style="font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-family:"Arial",sans-serif">Please apply for only one of the above areas as all applications will be jointly reviewed.<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Arial",sans-serif">Applicants should be strongly rooted in computer science, have internationally recognized expertise in their field and pursue research at the forefront of computer science. Successful
candidates should establish and lead a strong research programme. They will be expected to supervise doctoral students and teach both undergraduate and graduate level courses (in German or in English). Collaboration in research and teaching is expected both
within the department and with other groups of ETH Zurich and related institutions.
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-family:"Arial",sans-serif">Assistant professorships have been established to promote the careers of younger scientists. ETH Zurich implements a tenure track system equivalent to
other top international universities.<i><span style="color:#0070C0"><o:p></o:p></span></i></span></p>
<p class="MsoPlainText" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:red"><o:p> </o:p></span></p>
<p class="MsoPlainText" style="text-align:justify"><b><span lang="EN-GB" style="font-size:11.0pt;font-family:"Arial",sans-serif">Please apply online:</span></b><span lang="EN-GB" style="font-size:11.0pt;font-family:"Arial",sans-serif">
<b>www.facultyaffairs.ethz.ch <o:p></o:p></b></span></p>
<p class="MsoPlainText" style="text-align:justify"><b><span lang="EN-GB" style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></b></p>
<p class="MsoPlainText" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Arial",sans-serif">Applications should include a curriculum vitae, a list of publications with the three most important ones marked, a statement of future
research and teaching interests, the names of three references, and a description of the three most important achievements. The letter of application should be addressed
<b>to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is 30 November 2019</b>.</span><span lang="EN-GB" style="font-size:11.0pt;font-family:"Arial",sans-serif;mso-fareast-language:DE-CH"> ETH Zurich is an equal opportunity
and family friendly employer, strives to increase the number of women professors, and is responsive to the needs of dual career couples.
</span><b><span lang="EN-GB" style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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