Position Summary

This is an academic year (9 month) position, with possible opportunities for summer teaching if desired. The Program seeks candidates whose teaching, service, or other experience has prepared them to contribute to creating inclusive learning spaces for a diverse group of students. The successful candidate will work with colleagues to develop, coordinate, and teach data science courses primarily for students in the MSDS program, joining a vibrant, diverse, and supportive group of faculty members focused on instructional excellence in data science. In addition to resources local to the MSDS program, Michigan State University provides an excellent environment for teaching innovation, including the highly-ranked Program in Mathematics Education and faculty groups in the Department of Statistics, Mathematics, Computer Science, and the Department of Computational Mathematics, Science, and Engineering.

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Required Degree

Masters -Statistics, mathematics, computer science

Minimum Requirements

We seek candidates with

•            A master’s or doctoral degree in statistics, mathematics, computer science, or a related field;

•            A background in practical probability & statistics, machine learning models, and coding

•            Knowledge of or experience with student-centered pedagogical methods;

•            Experience with or a commitment to cultivating equitable and inclusive learning environments;

•            Demonstrated experience with or commitment to learning and growing as an instructor;

•            Experience using Python and/or R or other relevant languages either in teaching or to create statistical/machine learning models in data science and/or other applications.

Desired Qualifications

Desirable but not required are

•            Experience teaching data science, mathematics, statistics and/or related fields, either with full responsibility for courses or as a teaching assistant;

•            Practical experience working with data science models in an applied setting

•            Experience in course development, particularly for data science, statistics, computer science, or mathematics

Required Application Materials

•            a CV which at a minimum includes data on academic degrees you have earned, work experience that is relevant to the position, your experience in data science, and your experience using R or Python (and other programming languages as relevant), and a list of any courses taught,

•            a letter of application which describes how you could contribute to the educational mission in data science at Michigan State University,

•            the names and contact information for three references who can attest to strengths in data science and/or classroom instruction,

•            a description of any data science modeling work done, and

•            a statement of work of at most three pages which

1. Describes any prior teaching experience, including any courses taught
2. Describes any prior work with data science models
3. How your prior teaching experience and/or data science work informs your view of how data science courses should be taught at the masters level
4. Describes how consideration of diversity and inclusion has shaped or will shape your teaching practice;
5. Describes how you have used, or would plan to implement, pedagogical methods that are student-centered and promote active learning; and
6. Describes an experience where you evaluated the efficacy of your own teaching practice or data science modeling work, including how you collaborated with colleagues in this effort.

Special Instructions

The evaluation process will begin on June 12, 2023 and review of applications will continue until the position is filled. Questions may be directed to the chair of the search committee, Prof. Paul Speaker (speakerp@msu.edu).

Review of Applications Begins On

07/12/2023

Website

https://msds.msu.edu/, https://stt.natsci.msu.edu/, https://cmse.msu.edu/

Department Statement

Equal Employment Opportunity Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability, or protected veteran status.

MSU Statement

Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

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About Michigan State University

Spartans work every day to advance the common good in uncommon ways.Together, we tackle some of the world?s toughest problems to find solutions that make life better?from alternative energy to better food safety to breakthrough medical and environmental applications achieved through rare isotope research.We teach. We explore and we discover. We collaborate and lead. We innovate, inspire, and empower. We achieve our potential and create circumstances that help our students and others achieve theirs.We're good at it, and we've been at it for more than 150 years.The nation?s pioneer land-grant university, MSU began as a bold experiment that democratized higher education and helped bring science and innovation into everyday life. The revolutionary concept became a model for the nation.Today, MSU is one of the top research universities in the world?on one of the biggest, greenest campuses in the nation. Home to nationally ranked and recognized academic, residential college, and service-learning programs, we?re a diverse community of dedicated students and scholars, athletes and artists, scientists and leaders.In ways both practical and profound, we work to create a stronger, more sustainable, and more hopeful future for all.

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