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Tenure Track Teaching Faculty in Environmental Data Science

Recruitment Period

Open date: January 28th, 2020

Next review date: Friday, Mar 6, 2020 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Wednesday, Jul 1, 2020 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Description

Tenure Track Teaching Position in Environmental Data Science
Bren School of Environmental Science & Management
University of California, Santa Barbara

The Bren School of Environmental Science & Management (www.bren.ucsb.edu) invites applications for a Lecturer with Potential Security of Employment (LPSOE) position, to start July 1, 2020. A LPSOE is a tenure-track faculty member whose primary responsibility is teaching and teaching-related tasks and secondary responsibility is professional and/or scholarly achievement and activities, especially as they relate to instruction and pedagogy. LPSOEs also have responsibility for University and public service.

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.

This position is primarily responsible for courses in the School's new Master of Environmental Data Science (MEDS) degree program, and may also include some teaching in the School's established Master of Environmental Science and Management (MESM) program.

The Bren School faculty seeks a data scientist with demonstrated excellence in data science tools and techniques, superlative teaching skills, and interest or experience in environmental science and management, who will contribute to the Masters in Environmental Data Science (MEDS) program in in areas such as:
-Teach courses on computational data science skills, including data semantics and metadata, modeling, and workflow management.
-Teach courses on the modern data science software stack, including Python, R, SQL, and cloud platforms.
-Help supervise student group capstone projects, including instruction in team science and project management.

Committed, innovative data science practitioners who possess the ability to lead, collaborate, and organize curricular and programmatic needs are encouraged to apply.

The expected teaching load for this position is 6 courses per year. In addition, the position will participate in the management and governance of the overall MEDS program.

Applicants must have completed all requirements for a PhD (or equivalent) except the dissertation at the time of application and must have completed a PhD at time of hire in a related field (environmental, social, and/or computational science). Applicants must also possess at least one year of teaching experience at the university level. Anticipated start date is July 1, 2020. Research experience in an environmental field is highly desirable.
Applications should be submitted electronically via the UC Recruit system and must include the following:
1) Cover letter
2) Curriculum Vitae (resume)
3) Statement of Teaching (philosophy and practice)
4) Syllabi for 3 relevant courses taught by applicant
5) At least 3 and no more than 5 letters of reference (requested in the application submission)

The Bren School is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service. Applicants are strongly encouraged to submit an optional Statement of Contributions to Diversity. The optional Statement of Contributions to Diversity will be read and assessed by the search committee members for candidates who meet the basic and additional qualifications. These statements, if submitted, will be reviewed for evidence of teaching, research, professional and/or public service contributions that promote diversity and contributions furthering diversity and equal opportunity in higher education through knowledge of, contributions to, and plans to promote diversity. The University of California is committed to excellence and equity in every facet of its mission and strives to recognize contributions in all areas of faculty achievement that promote equal opportunity and diversity. Contributions to diversity and equal opportunity can take a variety of forms including but not limited to:
-Efforts to advance equitable access to education;
-Public service that addresses the needs of California’s diverse population;
-Research that highlights inequalities;
-Mentoring and advising students, particularly from underrepresented and underserved populations;
-Creating effective strategies for the educational advancement of students in under-represented groups.

Submit applications electronically to: https://recruit.ap.ucsb.edu/JPF01728 and address questions to meds-search@bren.ucsb.edu. Applications completed by March 6, 2020 will receive priority consideration; the position will remain open until filled.

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.

Job location

Santa Barbara, CA

Learn More

More information about this recruitment: https://www.bren.ucsb.edu/

Requirements

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

  • Statement of Teaching

  • Course Syllabus Sample (actualized) - 1 of 3

  • Course Syllabus Sample (actualized) - 2 of 3

  • Course Syllabus Sample (actualized) - 3 of 3

  • Statement of Contributions to Diversity - Statement addressing past and/or potential contributions to diversity through research, teaching, and/or service.
    (Optional)

  • Statement of Research (Optional)

Reference requirements
  • 3-5 letters of reference required