Submit one single document that includes the items listed down below. This application management system accepts only one single document that is created in DOC, DOCX, RTF, ODT, PDF, or TXT format. Please note that the single document file must be less than 500kb. If you have trouble submitting the full packet of materials as listed below using this system, please still apply online with just your cover letter and resume and email the full packet to firstname.lastname@example.org.
Please create your packet of materials in the following order:
Curriculum Vitae or Resume
Statement of Teaching Philosophy which addresses experience and ways you have encouraged inclusivity and diversity in the classroom. This statement should also highlight your experience with online education, if any, as a student and/or instructor.
List of three references which should include their contact information and your relationship with them
The University of Michigan School of Information (UMSI) seeks qualified individuals as Lecturer III to provide instruction in Python programming and data science skills and techniques to students in our new Master of Applied Data Science online degree and in our other academic programs. We expect the applicant to support courses, such as data manipulation, exploratory data analysis, data mining, and natural language processing. Students in the online degree program take four-week classes on the Coursera platform. You will act either as the instructor of record or work with the instructor of record and be the main instructional and student support, and participate in the continuous process of program improvement. You may be assigned course development responsibilities. 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.
As a Lecturer at UMSI, you will help set up and adjust pre-designed UM courses on Coursera, grading, holding online office hours, managing autograders, answering student questions and communicating with students, developing course materials, and facilitating small group online discussions and student conversations. You will also work collaboratively with lead instructors, other instructional team members, 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. You will continuously learn about the courses and future offerings, the program, and effective online pedagogy. Coordination 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 will be expected. Additionally, some combination of teaching (and supporting) residential and online courses is likely.
Master’s degree in Data Science or a related field, such as Information or Computer Science or Statistics
Experience programming with Python
Current knowledge of and demonstrated proficiency in data science applications and techniques
Deep interest in improving pedagogy and collaboration to execute instructional best practices online or in the residential environment
A strong commitment to teaching and cultural diversity
Highly effective interpersonal skills
Selection criteria are based on your resume, supplemental materials, an in-person interview, and a mock student office hours exercise. Assessment will be done by a hiring committee appointed and led by Senior Associate Dean Elizabeth Yakel.
Ph.D. in Data Science or a related field, such as Information, Computer science, or Statistics
College-level teaching experience (or the corporate equivalent), particularly in an online environment
Experience taking online classes, particularly with the Coursera platform
Experience with Jupyter Notebook
Current participation in professional associations
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 and match to skills.
Benefits at the University of Michigan
In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include:
Generous time off
A retirement plan that provides two-for-one matching contributions with immediate vesting
Many choices for comprehensive health insurance
Long-term disability coverage
Professional development support
Flexible spending accounts for healthcare and dependent care expenses
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.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 182810
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.