Job no: 706124
Work type: Faculty/Academic Staff
Major Administrative Unit / College: College Of Natural Science
Department: Statistics & Probability 10032798
Sub Area: FAS- Fac./Acad Staff
Salary: Salary Commensurate with Experience
Location: East Lansing
Categories: Administrative/Business/Professional, Education/Training, Fixed Term Faculty, Full Time (90-100%), Union
Ast Prof/Asc Prof/Prof - Fixed Term
Position SummaryThe successful candidate will work with multi-disciplinary teams to develop, coordinate, and teach data science courses for MS students with diverse technical backgrounds, including students who are currently employed in industry. The successful candidate will take a leading role in managing the MSDS. This includes recruiting students into the program, and more generally promoting the program through their own contacts/distribution lists and those of team lead and other team members. It includes discussing with lead instructional team how to help all MSDS program instructors develop high-quality course materials, including ensuring that program instructors have adequate proficiency in synchronous and asynchronous online teaching, and that materials are made available for asynchronous online learning. The successful candidate will also communicate with program instructors to ensure that adequate assessments of student learning outcomes are deployed. The successful candidate will take a leading role, as part of a team, in creating capstone projects for the MSDS. This position will join a large and active group of teaching faculty focused on instructional excellence in the mathematical and computational sciences. The successful candidate will be the primary point of contact for students in the MSDS for all their advising needs, helping them navigate the various elective courses (9 elective credits out of a total of 30 credits). The successful candidate will be responsible for coordinating the admissions process into the MSDS.
The successful candidate will be expected to devote 50% to 65% of their effort to instruction in the program or related courses, which corresponds to teaching three to four 3-credit courses per year, and the remainder of their effort to administration.
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.
Doctorate -Any field relevant to data science
Instructional excellence at the undergraduate and/or MS level, a demonstrated commitment to creating an inclusive and equitable learning environment, and experience with student-centered pedagogical methods.
Some industrial experience in data science is highly desirable. This experience may have been acquired in an industrial setting, in a data scientist role, or in an academic setting, in a collaborative role working with industry partners on data science problems.
Strong candidates will have documented managerial and/or administrative skills in an industrial or academic setting.
Required Application MaterialsAll candidates should submit an application for this position through http://careers.msu.edu and refer to posting number 706124.
Candidates should submit:
(1) a letter detailing the applicant’s interest in and fit for the position, including managerial/administrative experience
(2) a curriculum vitae
(3) a separate statement describing the applicant's experience in data science instruction/training and the applicant's plans for creating a diverse, equitable, and inclusive classroom
(4) provide the names of three references which may be contacted by the search committee, who could be consulted to discuss the applicant's teaching and work in data science, and/or administrative experience
Review of applications will begin on 06/2021, and on a continuing basis until the position is filled. Inquiries are welcome by contacting the search committee chair Professor Frederi Viens through email at firstname.lastname@example.org.
Candidates only need to submit names and contact info of three references while completing the application. Recommenders may be contacted by the search committee at any phase of the application process. For more information, contact Dr. Frederi Viens, Search Committee Chairperson (email@example.com).
Review of Applications Begins On
Department StatementThe Department of Statistics and Probability at Michigan State University has a long and proud tradition of excellence for world-class research and training for over 65 years.
The Department awards bachelor’s, master’s, and doctoral degrees in Statistics, and partners with the Department of Mathematics in awarding the bachelor’s degree in Actuarial Science and partners with the Department of Computational Mathematics, Science, and Engineering and the Department of Computer Science in awarding the bachelor’s degree in data science
The Department is home to an internationally renowned faculty with a wide variety of expertise in fundamental and interdisciplinary research, over 100 graduate students, and over 100 undergraduate students from many countries of the world. Graduates of our programs go on to careers in academia, industry and government.
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.
Advertised: May 17, 2021 Eastern Daylight Time
Applications close: May 17, 2023 Eastern Daylight Time