Assistant/Associate/Professor, College of Natural Science
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Posting Number: 4320
Internal Posting Date: 10-27-2016
Internal Closing Date: Open Until Filled
External Closing Date: Open Until Filled
Review of Applications begins on: 01-03-2017
Job Title: Assistant/Associate/Professor
Multiple Position Numbers:
Multiple Position Numbers: No
Major Administrative Unit/College: College of Natural Science
Primary Department: 10032798 STATISTICS & PROBABILITY
Position Employee Group: Tenure System Faculty-FAS
Appointment Basis: Academic Year, 9 month
Appointment Status: Tenure System Faculty
Employment %: 100
Varied Work Hours (if applicable):
Limited Term/Flexible Appointment/Off-Date Information:
Faculty: Salary Range Support Staff: Pay Minimum Salary/Rank Commensurate with Experience
If flex, dates of annual flex leave:
Pay Grade Level:
Position Summary: 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 data sets, 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.
Faculty: Minimum Qualifications Support Staff: Minimum Requirements 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.
Typing Requirements (wpm):
Summary of Health Risks and Physical Demands (if applicable):
Required Applicant Documents: Other Document
Optional Applicant Documents:
Number of Reference Letters Required: 4
Special Instructions to Applicants: Applications should include a cover letter, CV, statement of research plans, and a one-page teaching statement, all in a single PDF file. In addition, for applicants seeking the rank of Tenure System Assistant Professor, four letters of recommendation should be submitted electronically from recommenders through this application system, at least one of which addresses teaching skills and excellence. For applicants seeking ranks with tenure at MSU, names and contact information of at least four recommenders who may be contacted by the search committee, at least one of whom could address teaching skills and excellence, should be included in the online application.
Department Website Address: https://ww.stt.msu.edu/
Name/Title/Email Address of Search Committee Chair: Taps Maiti/Professoremail@example.com
If flex, dates of annual flex leave:
If flexible appointment, indicate end date of annual flex leave:
If flex, number of months worked per year:
Web Address for Posting: jobs.msu.edu/applicants/Central?quickFind=69210
Union Affiliation: Non Union
MSU is an affirmative action, equal opportunity employer. MSU is committed to achieving excellence through cultural diversity. The university actively encourages applications and/or nominations of women, persons of color, veterans and persons with disabilities.