Minerva Schools at KGI

Position ID: 1312-COMPSCI1 [#13038]
Position Title: Faculty, Computational Sciences
Position Type: Non tenure-track faculty
Position Location: San Francisco, California 94103, United States [map]
Subject Area: Computational Sciences
Application Deadline: none (posted 2018/10/31)
Position Description:    

We are currently appointing faculty to teach undergraduate courses in the college of Computational Sciences beginning in the 2019-2020 academic year. We welcome applications from people at all career stages (e.g., Assistant, Associate and full Professor levels). While our courses are broad, we are especially interested in applicants that could teach a course focusing on the application of causal and predictive statistical inference for strategic decision making. The course makes heavy use of R packages so applicants should be expert in the use of R.

We are also seeking applicants with expertise in artificial intelligence and/or machine learning. The successful AI applicant will select and supervise students for a research program involving the use of AI in analyzing data from a variety of industries.

The Minerva Schools at KGI (the Keck Graduate Institute) prepare students to become innovators and global leaders in a wide variety of disciplines. Our aim is to reinvent higher education at every level, from how we define the curriculum to how we teach. All Minerva classes are seminars, not lecture courses, and use active learning to help students learn to think critically and creatively as well as to communicate and interact effectively with others. Students live together in residence halls, traveling to 7 different cities over their four undergraduate years of study. We teach using the Minerva Active Learning Forum, a web-based platform that supports real-time, synchronous seminars (ranging from 15-19 students) with high levels of student-faculty interaction. The majority of our students are undergraduates pursuing four-year degrees. 

You are a good fit for a Minerva faculty position if you are eager to join one of the most innovative institutions in higher education today. As a student-centric program, we focus on learning outcomes, small interactive class sessions, and deep engagement between faculty and students, with feedback given in both directions.

Because all classes are taught on our technology platform, you have complete flexibility to teach at Minerva via computer from any geographic location where there are good internet connections. Students live and study in many global cities, so teaching days and hours often fall outside the range of a typical business day.

Please see minerva.kgil.edu for more information about Minerva’s course offerings in Computational Sciences.

Qualifications:

*Ph.D. or equivalent in relevant discipline (e.g., math, computational sciences, software engineering, data science, etc.). ABD applicants accepted if degree will be complete by August 1, 2019. *documented teaching experience *comfort with new technology *passion for undergraduate teaching *willing to embrace innovative pedagogical approaches based on the science of learning

Please submit a cover letter, c.v., and a list of references using this link: http://apply.interfolio.com/56570. Applications submitted via email will not be accepted. The position will remain open until filled. For full consideration, please submit all required materials by January 10, 2019.


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Contact: Kara Gardner
Email:
Postal Mail:
1145 Market Street
9th floor
San Francisco, CA 94103
Web Page: http://apply.interfolio.com/56570

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