All applicants should submit a cover letter, a curriculum vitae or resume, a statement of teaching philosophy which addresses experience and ways you have encouraged inclusivity and diversity in the classroom, course evaluations, and three letters of recommendations. The teaching statement should highlight your experience with online education, if any, as a student and/or instructor. All application materials must be submitted electronically to: https://apply.interfolio.com/62443
The University of Michigan School of Information seeks qualified individuals as Lecturer III to provide instruction in the Python programming and data science skills and techniques to students in our new Master of Applied Data Science degree as well as in our other academic programs. We expect the applicant to be able to support courses such as data manipulation, exploratory data analysis, data mining, and natural language processing. We seek candidates who are passionate about teaching and using computation and data science to build a better world. Students in the online degree program take four-week classes on the Coursera platform. Each class is facilitated by an instructional team that can include professorial instructors and/or lecturers. Under direction of the instructor of record the successful candidate will serve as front line instructional and student support, and participate in the continuous process of program improvement. This person may be assigned course development duties. Given the online degree program structure, there will be a variety of classes that change from month to month. Course assignments are made in advance giving teaching faculty ample time to prepare. However, these responsibilities will be very fast paced and sometimes evolving quickly. Thus, it will be critical to have strong organizational skills and the willingness and ability to work in a dynamic environment.
This position will be responsible for helping to set up and adjust pre-designed UM courses on Coursera, grading, holding online office hours, managing an autograder, answering student questions and communicating clearly with students, developing course materials, and facilitating small group online discussions and student conversations.
This position will also be expected to work collaboratively with lead instructors, other instructors, and UMSI staff (who help with administration and student advising/life functions) to ensure that students receive an excellent education and are aware of support services in the larger UM and UMSI communities, continually learn about the courses and future offerings, the program, and effective online pedagogy.
This position will also need to be flexible with work hours and/or coordinate with other members of the instructional team to ensure daily/evening/weekend coverage for students who may live in different time zones or have full-time jobs.
Some combination of teaching (and supporting) residential and online courses is likely.
Bachelor’s degree in Data Science or a related field, such as Information, Computer science, or Statistics
Strong oral presentation and communication skills
Strong written communication skills
Experience programming with Python
Strong organizational skills and the ability to work in a fast paced, dynamic environment
A strong commitment to teaching and cultural diversity
Selection criteria based on resume with supplemental materials, in-person interview, and mock student office hours. Assessment will be done by a small hiring team appointed by, and including Senior Associate Dean Elizabeth Yakel.
Master’s degree in Data Science or a related field, such as Information, Computer science, or Statistics
Teaching experience particularly in the online environment
Experience taking online classes, particularly with the Coursera platform
Duration of appointment: up to 3 years (renewable pending need, enrollment, performance)
*This position could start out being part-time depending on the available need matching up with the skill set.
This position is covered under the collective bargaining agreement between the U-M and the Lecturers Employee Organization, AFL-CIO, which contains and settles all matters with respect to wages, benefits, hours and other terms and conditions of employment.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
UMSI Mission Statement:
The mission of the School of Information is to create and share knowledge to help people use information – with technology – to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.
The School is home to vibrant research and teaching programs, with 50 FTE professors, and over 800 students. We offer four degrees: a Ph.D.; a Master of Science in Information; a Master of Health Informatics; and a Bachelor of Science in Information. In the fall of 2019 we expect to launch a new online degree: Master of Applied Data Science.
Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top ten universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $2.1 billion and an endowment valued at more than $10.9 billion. For more information about UMSI or other job opportunities please visit www.si.umich.edu.
Job openings are posted for a minimum of ten calendar days. This job may be removed from posting boards and filled any time after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 171317
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.