Department of Statistics and Probability
Department of Computational Mathematics, Science and Engineering
The Departments of Statistics and Probability and Computational Mathematics, Science and Engineering (CMSE) are jointly seeking to fill at least two tenure-track
or tenured faculty positions, to begin in August 2017.
For one position, excellent candidates are sought in applied statistics and the core of modern statistical methods. A typical candidate will be an
energetic and talented researcher with a nationally established record or strong potential for such, working in statistical-theory-driven methodology
grounded by scientific applications. All exceptional candidates in the statistical sciences and probability, at all career levels, will be considered,
and are encouraged to apply.
For the other position, the Departments of Statistics and Probability and Computational Mathematics, Science and Engineering (CMSE), are jointly seeking
exceptional candidates at all career levels from all areas of data science, for a majority appointment in Statistics and Probability. Specific priority
research areas for this position include theory and methods in computational statistics for handling large datasets, high-dimensional, functional, spatial,
and complex data analysis, statistical machine learning broadly construed, Bayesian and other guided or unguided learning. An ideal candidate for this joint
position will draw a close connection between the computational side of data analysis and its applications, and the core of the modern statistical sciences.
Areas of application of particular interest include the environmental sciences and climate change, genetic/genomic data analysis including genotype-to-phenotype
association and prediction, medical and other image analysis, and precision medicine. Successful candidates are expected to publish in top tier statistics and
computational journals and attract significant external funding.
For both positions, typical applicants will have a PhD in statistics or in a closely allied discipline. In addition to strong research credentials, as measured by
publication record, established or potential funding levels, and other academic recognition, candidates are expected to provide evidence or potential for high quality
teaching in undergraduate and graduate level statistics courses. For senior applicants, evidence of robust external funding and interdisciplinary research are essential, while
evidence of engagement with national or international disciplinary organizations, and connections with industrial, government, and/or other professional sectors, are
desirable and appreciated.
For a detailed description of the requirements for these positions, and application procedures, please click here, or on the job title above.
Specialist - Teacher
Department of Statistics and Probability
The Department of Statistics and Probability at Michigan State University (MSU) invites applications for up to
three continuing academic specialists with an anticipated start date of August 16, 2017. Candidates must have a Master’s or PhD degree in statistics,
mathematics, or a related field, demonstrated instructional excellence in introductory statistics, and knowledge of or experience with student-centered
Successful candidates will work with multi-disciplinary teams to develop, coordinate, and teach statistics courses for undergraduate students,
will help to develop and deploy assessments of student learning outcomes, will mentor and supervise graduate assistants and instructors, and will join
a large and active group of teaching faculty focused on excellence in service course instruction in the mathematical sciences. Depending on candidate
expertise and interests, advising students in the growing undergraduate major in Statistics may also be part of the position, and the course and program-development
portion of an assignment may be substantial.
MSU is embarking on a multi-year initiative to improve student-learning and success in gateway courses in the mathematical sciences, including courses
in the Department of Mathematics and the Department of Statistics and Probability. This exciting initiative, in which the Statistics and Probability Department
is a central player, draws on characteristics unique to MSU, including strong commitments from the mathematical sciences actors and their allies across campus,
including the faculty and students in the top-ranked Program in Mathematics Education. Successful candidates for this search will be central to this work and
will have the opportunity to provide leadership in curriculum development and pedagogy.
Candidates should submit an application for this position through https://jobs.msu.edu and refer to position number 4674. Candidates should submit a letter
of application explaining the applicant’s interest in and fit for the position, a curriculum vitae, a statement describing the applicant’s teaching philosophy
and experience in statistics teaching, and three letters of reference addressing the applicant’s teaching. While the positions do not carry an expectation of
research, any past experience in the scholarship of statistics education can be stated in the letter of application, or can be the subject of a separate optional
statement. The absence of such a statement will not negatively impact an application. Review of applications will begin on February 15, 2017, and applications
will be reviewed on a continuing basis until the positions are filled. Inquiries are welcome by contacting the search committee chair Prof. Vince Melfi through
email at email@example.com.
“MSU is an affirmative-action, equal-opportunity employer and is committed to achieving
excellence through a diverse workforce and inclusive culture that encourages all
people to reach their full potential. The University actively encourages applications
and/or nominations of women, persons of color, veterans and persons with disabilities.
MSU is committed to providing a work environment that supports employees' work and
personal life, and offers employment assistance to the spouse or partner of candidates
for faculty and academic staff positions.”