<div dir="ltr"><div class="gmail_default" style="font-family:georgia,serif">Dear Colleagues,</div><div class="gmail_default" style="font-family:georgia,serif"><br></div><div class="gmail_default" style="font-family:georgia,serif">Please find below an announcement for a search at UC Davis. </div><div class="gmail_default" style="font-family:georgia,serif"><br></div><div class="gmail_default" style="font-family:georgia,serif">Best,</div><div class="gmail_default" style="font-family:georgia,serif">Con</div><div class="gmail_default" style="font-family:georgia,serif"><br></div><div class="gmail_default" style="font-family:georgia,serif">--</div><div class="gmail_default" style="font-family:georgia,serif">Gerardo Con Diaz</div><div class="gmail_default" style="font-family:georgia,serif">Assistant Professor of Science and Technology Studies</div><div class="gmail_default" style="font-family:georgia,serif">University of California, Davis</div><div class="gmail_default" style="font-family:georgia,serif"><br></div><div class="gmail_quote"><div dir="auto"><div><div><span style="background-color:rgba(255,255,255,0)"><b>STS Position in Data Studies - Assistant/Associate Professor</b></span></div><div><span style="background-color:rgba(255,255,255,0)"><b>University of California, Davis</b></span></div><div><span style="font-family:Helvetica;font-size:12pt"><br></span></div><div><span style="font-family:Helvetica;font-size:12pt">The University of California, Davis invites applicants for a tenure-track assistant professor or recently
tenured associate professor in the social studies of data and data science including the scientific,
political, social, and scholarly use and creation of data. Experience and a genuine interest in working
in a collaborative environment and especially in collaborating with data scientists are highly desired.
The successful applicant will be appointed in the Science and Technology Studies Program, with
expectation for cross-appointment in an emergent multidisciplinary data science program. The
appointee is expected to actively participate in the growing interdisciplinary team of the Data Science
Initiative and to take a central role in teaching in and developing a new Data Studies minor. Aimed at
social science and humanities students, this minor is designed to introduce students to data science
concepts and techniques, teach them to critically analyze and contextualize data questions and
results, and prepare them to collaborate with data scientists in work environments.</span><br><div class="m_5160502112077099148m_7596003482932714633page" title="Page 2"><div class="m_5160502112077099148m_7596003482932714633layoutArea"><div class="m_5160502112077099148m_7596003482932714633column">
<p><span style="font-size:12.000000pt;font-family:'Helvetica'">Applicants should have expertise in one or more of the following areas: ethnography or history of the
scientific, political, social, and scholarly use and creation of data; computational media; software </span><span style="font-family:Helvetica;font-size:12pt">studies; or ethics, law, and policy of data. Applicants should be prepared to teach
undergraduate and graduate courses in STS on topics related to critical approaches to data
science; data visualization; information ethics, privacy and policy. Successful applicants will also be
expected to teach introductory Data Studies courses focusing on data analysis using Excel, R, or similar. A Ph.D. in either science and technology studies, anthropology, media studies, philosophy,
cultural studies, communication, sociology, or a related field should be completed by September 23,
2018.</span></p></div></div></div><div class="m_5160502112077099148m_7596003482932714633page" title="Page 3"><div class="m_5160502112077099148m_7596003482932714633layoutArea"><div class="m_5160502112077099148m_7596003482932714633column">
<p><span style="font-size:12.000000pt;font-family:'Helvetica'">Applicants should submit a cover letter, a CV, contact information for three references, and a writing sample.
Applicants should also submit 2-3 example syllabi, one of which should propose a version of either
STS 101 or STS 115 (course descriptions available at </span><a href="http://sts.ucdavis.edu/courses/course-descriptions/data-studies" target="_blank">http://sts.ucdavis.edu/cour<wbr>ses/course-descriptions/data-<wbr>studies</a><span style="font-size:12.000000pt;font-family:'Helvetica'">). Applications must be submitted by November 13, 2017, through the online
application form: <a href="https://recruit.ucdavis.edu/apply/JPF01850" target="_blank">https://recruit.ucdavis.edu/ap<wbr>ply/JPF01850</a>.
</span></p>
<p><span style="font-size:12.000000pt;font-family:'Helvetica'">The University of California, Davis, is an affirmative action / equal opportunity employer with a strong
institutional commitment to the achievement of diversity.</span></p></div></div></div></div></div></div></div><br></div>