Teaching Faculty I in Statistics

University of Wisconsin

Madison, WI

Job posting number: #7224894

Posted: March 5, 2024

Application Deadline: Open Until Filled

Job Description

Job Summary:
Instructor: Teach 4-6 courses per year (2-3 per semester); courses may include introductory statistics (Stat 301, 324, 371), introductory data science (Stat 240), mathematical statistics (Stat 309, 310, 311, 312), or other introductory, intermediate, or advanced level courses offered by the department. Follow appropriate learning goals and assessment plans. Prepare syllabi, lesson plans, homework assignments, exams, and other teaching materials for these courses possibly in collaboration with a team of instructors. Administer and grade homework assignments and written exams. Hold regular office hours. Manage lecture with 50-150 students; supervise and coordinate one or more teaching assistants.

Course Development: Participate in new course development and existing course revision in areas of applied statistics, computational statistics, and data science, in collaboration and coordination with faculty advisers.

Coordinator: Coordinate instructional activities such as the management of pedagogical materials, TA/LSA training programs and records, curriculum modernization and assessment.

Responsibilities:
Provides classroom, online and/or laboratory instruction associated with more than one lecture or laboratory course, assists with the design and execution of administrative functions associated with academic instruction and the development of pedagogy/andragogy or assessment tools and resources to support quality student learning. Provides for-credit instruction in formats such as classroom, online and/or laboratory settings, including grading. Serves as an instructor of record.
5% Assists in developing techniques and/or model programs for carrying out instructional goals in disciplinary area and may help identify ways in which new techniques could be of assistance
10% Assesses learner performance and prepares reports recommending instructional improvements
5% Develops teaching techniques that enhance course effectiveness in alignment with desired outcomes and established strategy
70% Provides classroom, online and/or laboratory instruction, including grading
5% Supervises the day to day activities of work unit employees involved in instructional support as needed
5% Assists in defining the objectives of the program and plays a major role in carrying out program duties
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Education:
Required
Master's Degree in Statistics, Data Science, Computer Science, Mathematics or related quantitative field. A degree at least one level above the level of instruction, or otherwise approved as qualified by the Dean.

Preferred
PhD in Statistics, Data Science Computer Science, Mathematics or related quantitative field.

Qualifications:
Candidate should have at least one year's work experience in an education, research, or industry setting. One year of teaching experience at the college or university level preferred. Candidates should have excellent teaching, interpersonal, teamwork, written and oral communication skills, as well as keen attention to detail and precision, excellent organizational skills, ability to work and complete tasks under deadline pressures, high degree of initiative and resourcefulness, and proven success and effectiveness in working both independently and in teams.




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