Assistant Professor in Statistics
Please see Special Instructions for more details.Interested candidates should submit a vita, three letters of recommendation (at least one of which addresses teaching), a description of proposed research program, and a statement of teaching interests through Mathjobs.org. In addition to the Mathjobs.org, candidates are required to complete basic contact information online at http://www.jobs.mtu.edu/postings/4860. The position starts 14 August 2017, candidates must complete all requirements for the PhD by that date. Review of applications will begin 17 January 2017; candidates applying by that date are assured full consideration
|Position Title||Assistant Professor in Statistics|
|Location||Main Campus (Houghton, MI)|
|Full-Time Equivalent (1.0=100%)||1.0|
|Appointment Term||9 Month|
|Pay Type||Salary Basis|
|Title of Position Supervisor||Department Chair|
Position Summary Information
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
|Job Description Summary||
Applications are invited for a tenure-track position in Statistics. All research areas will be considered, but candidates with expertise in functional data analysis, multivariate data analysis, or mixed-effects models are especially encouraged to apply. The position is expected to be filled at the rank of Assistant Professor, but highly qualified candidates may be considered for appointment as Associate Professor.
|Essential Duties & Responsibilities (other duties may be assigned)||
1. Develop and maintain a vibrant and externally funded research program that involves students.
|Required Education (minimum requirements)||
PhD in Statistics or a related field.
|Required Experience (minimum requirements)||
1. Established research program.
|Desirable Education and/or Experience|
|Required Knowledge, Skills, and/or Abilities (minimum requirements)|
|Desirable Knowledge, Skills, and/or Abilities||
Expertise in functional data analysis, multivariate data analysis, or mixed-effects models.
|Work Environment and/or Physical Demands||
The work environment is that of a typical office and/or classroom setting. The noise level in the work environment is usually low to moderate.
|Required Training and Other Conditions of Employment||
Every employee at Michigan Technological University will receive the following 3 required trainings; additional training may be required by the department.
Posting Detail Information
|Posting Type||Internal & External Posting|
|Internal Posting Date|
|External Posting Date|
|Open Until Filled||Yes|
|Special Instructions to Applicants (if applicable)||
Interested candidates should submit a vita, three letters of recommendation (at least one of which addresses teaching), a description of proposed research program, and a statement of teaching interests through Mathjobs.org.
In addition to the Mathjobs.org, candidates are required to complete basic contact information online at http://www.jobs.mtu.edu/postings/4860.
The position starts 14 August 2017, candidates must complete all requirements for the PhD by that date.
Review of applications will begin 17 January 2017; candidates applying by that date are assured full consideration
Michigan Tech, a doctoral research university with an international reputation, is located in Houghton in Michigan’s scenic Upper Peninsula, on the south shore of Lake Superior. The area provides a unique setting where natural beauty, culture, education, and a diversity of residents from around the world come together to share a superb living and learning experience.
The Department of Mathematical Sciences has 35 faculty with interests in probability and statistics, computational mathematics, combinatorics, algebra, and number theory. It offers BS, MS, and PhD degrees, enrolling approximately 100 undergraduates and 40 graduate students, and is a key part of the university’s interdisciplinary programs in Computational Science and Engineering and in Data Science.
Michigan Tech is an ADVANCE institution, one of a limited number of universities in receipt of NSF funds in support of our commitment to increase diversity and the participation and advancement of women in STEM.
Michigan Tech acknowledges the importance of supporting dual career partners and retaining a quality workforce. Michigan Tech is committed to offering career exploration advice and assistance whenever feasible and appropriate at the University and in the local community. See www.dual.mtu.edu for additional information.
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer, which includes providing equal opportunity for protected veterans and individuals with disability.
Posting Specific Questions
Required fields are indicated with an asterisk (*).