<div dir="ltr"><div class="gmail-section"><p>The Bren School of Environmental Science & Management (<a href="http://www.bren.ucsb.edu" rel="nofollow">www.bren.ucsb.edu</a>)
invites applications for a tenure-track faculty position in
Environmental Data Science at the rank of Assistant Professor, to start
July 1, 2021. We seek a highly creative and interactive scholar whose
research and teaching interests are focused on innovative approaches for
computational analyses in an allied discipline of Environmental Science
(including, but not limited to, Earth science, ecology, political
science, socio-ecological systems, etc.). We particularly seek
candidates who address environmental questions using large datasets
(e.g., remotely sensed data, text-based repositories, etc.), have a
rigorous foundation in statistical fundamentals (e.g., machine learning,
Bayesian inference, causal inference, etc.), or leverage cutting-edge
developments in data science (e.g., data-driven discovery, scalable
computing, etc.) in their work. We welcome candidates whose substantive
area of expertise is related to environmental justice, or whose
methodological expertise addresses algorithmic bias in quantitative
sciences</p>
<p>The Bren School is a graduate school within UCSB that provides
rigorous, multi-disciplinary training in environmental science and
management to Master's and PhD students. The faculty is drawn from the
natural sciences, social sciences, and management. </p>
<p>As a successful candidate, you will develop an
internationally-recognized and extramurally-funded research program,
mentor graduate students in the candidate’s area of expertise, and teach
graduate courses in the School's new Master of Environmental Data
Science (MEDS) degree program. All committed, innovative environmental
scientists who possess the ability to lead, collaborate, and organize
curricular and programmatic needs are encouraged to apply.</p>
<p>UCSB’s academic calendar is based on three 10-week quarters and a
10-week summer session. The expected teaching load for this position is
4 courses per year. In addition, the position will participate in the
management and governance of the overall MEDS program.</p>
<p>Basic qualifications for applicants include the completion of all
requirements for a PhD except the dissertation in a related field at the
time of application. Additional qualifications include applicants must
have a PhD at time of hire in a related field and evidence of effective
teaching at the university level. </p>
<p>Preferred qualifications also include: </p>
<p>-Candidates whose research and teaching interests are focused on
innovative approaches for computational analyses in an allied discipline
of Environmental Science (including, but not limited to, Earth science,
ecology, political science, socio-ecological systems, etc.).</p>
<p>-Candidates who address environmental questions using large datasets
(e.g., remotely sensed data, text-based repositories, etc.), have a
rigorous foundation in statistical fundamentals (e.g., machine learning,
Bayesian inference, causal inference, etc.), or leverage cutting-edge
developments in data science (e.g., data-driven discovery, scalable
computing, etc.) in their work.</p>
<p>-Candidates whose substantive area of expertise is related to
environmental justice, or whose methodological expertise addresses
algorithmic bias in quantitative sciences.</p>
<p>Applications should be submitted electronically via the UC Recruit system to: <a href="https://recruit.ap.ucsb.edu/JPF01820" rel="nofollow">https://recruit.ap.ucsb.edu/JPF01820</a> and must include the following:</p>
<p>1) Cover letter<br>
2) Curriculum Vitae (resume)<br>
3) Statement of Research<br>
4) Statement of Teaching (philosophy and practice)<br>
5) Statement of Contributions to Diversity<br>
6) At least 3 and no more than 5 letters of reference (requested in the application submission)</p>
<p>Please address any questions to: <a href="mailto:meds-search@bren.ucsb.edu" rel="nofollow">meds-search@bren.ucsb.edu</a>. Applications completed by October 26, 2020 will receive priority consideration; the position will remain open until filled.</p>
<p>The University is especially interested in candidates who can
contribute to the diversity and excellence of the academic community
through research, teaching and service. At Bren, we recognize the
intrinsic relationship between diversity and excellence in all our
endeavors; we embrace open, inclusive, and equitable access to
opportunities for learning and development as our obligation and goal.
Our excellence can only be fully realized by faculty, students and staff
who share our commitment to these principles. Successful candidates for
faculty positions will demonstrate evidence of a commitment to equity
and inclusion in their application materials, including the Diversity
Statement. This evidence can include:</p>
<p>-Efforts to advance equitable access to education; <br>
-Public service that addresses the needs of California’s diverse population;<br>
-Research that highlights inequalities;<br>
-Mentoring and advising students, particularly from underrepresented and underserved populations;<br>
-Creating effective strategies for the educational advancement of students in under-represented groups.</p>
<p>The University of California is an Equal Opportunity/Affirmative
Action Employer and all qualified applicant will receive consideration
without regard to race, color, religion, sex, sexual orientation, gender
identity, national origin, disability status, protected veteran status,
or any other characteristic protected by law.</p>
</div><div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div><span>**************************************************************</span></div><div><span><b>Samantha Stevenson</b><br></span></div><div><span>Assistant Professor<br></span></div><div><span></span>Bren School of Environmental Sciences & Management<br></div>University of California, Santa Barbara<br>
<span>Santa Barbara, CA
93106-5131</span></div><div><span>Office: 805-893-5049<br></span></div><a href="http://www.samanthalstevenson.com" target="_blank">http://www.samanthalstevenson.com</a><br><span>**************************************************************</span></div></div></div></div></div></div></div></div></div></div></div></div></div></div>