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  1. Home
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  5. Assistant/Associate/Full Professor Tenure System
Michigan State University Information Technology logo

Assistant/Associate/Full Professor Tenure System

Not Disclosed•Full-TimeOn-site

location_onAT&T East Lansing Central office, 337, Abbot Road, Downtown East Lansing, East Lansing, Ingham County, Michigan, 48823, United States

Apply Now

About the Department

Founded in 1955, the Department of Statistics and Probability at Michigan State University (MSU) maintains a long tradition of excellence in fundamental research. The department fosters a collaborative and vibrant community of faculty engaged in both applied and methodological research, with leading groups in statistics and probability. Our unique and diverse community provides a stimulating research environment for scholars to pursue work in probability and build strong broader impacts on related disciplines.

The department welcomes and supports people of all backgrounds, origins, identities, and beliefs. All members are expected to engage in behaviors and practices that are inclusive and respectful, fostering trust within the community.

About the Role

We seek candidates for a tenure-track faculty position in probability at the Assistant, Associate, or Full Professor level, beginning in August 2025. The successful candidate will develop and sustain a strong research program, provide high-quality education at both graduate and undergraduate levels, and engage in professional and institutional service.\n We are particularly interested in expertise areas such as high-dimensional probability, random matrix theory, random graphs, stochastic analysis, and stochastic processes. Preference will be given to applicants with demonstrated research interests or expertise in developing new theory or methods, either directly or with clear implications for applications. Candidates are expected to show evidence of productivity and potential for independent research (Assistant level) or a history of leading a successful research program with independent funding (Associate/Full level). Additionally, a commitment to teaching, mentorship, and building an equitable and diverse scholarly and instructional environment is required.

Application Instructions

Complete applications must be submitted by December 15, 2024, to receive full consideration. Review of applications will begin on December 16, 2024. Late submissions will be considered if suitable candidates are not identified by the deadline.

The application package must include:

  • A 1-page cover letter framing the application in the context of this advertisement and addressing qualifications.
  • A curriculum vitae detailing education, academic appointments, professional experience, funded grants, publications, teaching, mentoring, and service.
  • A 2-6 page research statement describing past accomplishments and future plans to demonstrate the ability to conduct independent research.
  • A 2-3 page teaching statement describing experience in instruction and mentoring of graduate and undergraduate students.
  • Three or four reference letters, with at least one addressing teaching ability.

Applicants are expected to summarize their contributions to diversity, equity, and inclusion throughout their application materials.

Questions regarding this position can be directed to the search committee chair, Haolei Weng, at wenghaol@msu.edu.

Equal Opportunity & Culture

Michigan State University 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.

MSU has been advancing the common good with uncommon will for more than 160 years. As 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.

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.

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Skills, education and keywords

Skills: High-Dimensional Probability, Random Matrix Theory, Random Graphs, Stochastic Analysis, Stochastic Processes.

Education: Doctorate in Statistics, probability, mathematics, computer science, or a related field is required.

Frequently asked questions about Assistant/Associate/Full Professor Tenure System at Michigan State University Information Technology

What does a Assistant/Associate/Full Professor Tenure System at Michigan State University Information Technology do?expand_more
In this Assistant/Associate/Full Professor Tenure System at Michigan State University Information Technology role, you will develop and sustain a strong independent research program in probability; provide high-quality instruction at graduate and undergraduate levels; mentor students and build an equitable and diverse scholarly environment; and engage in professional and institutional service activities.
What are the requirements for this Assistant/Associate/Full Professor Tenure System role?expand_more
Michigan State University Information Technology is looking for candidates who meet the following requirements: Doctorate in Statistics, probability, mathematics, computer science, or a related field.
Where is the Assistant/Associate/Full Professor Tenure System role at Michigan State University Information Technology located?expand_more
Assistant/Associate/Full Professor Tenure System at Michigan State University Information Technology is based in AT&T East Lansing Central office, 337, Abbot Road, Downtown East Lansing, East Lansing, Ingham County, Michigan, 48823, United States. This is a on-site role.

Work location

Work model: On-site

location_on

AT&T East Lansing Central office, 337, Abbot Road, Downtown East Lansing, East Lansing, Ingham County, Michigan, 48823, United States

East Lansing, Michigan

Key Responsibilities

  • check_circleDevelop and sustain a strong independent research program in probability
  • check_circleProvide high-quality instruction at graduate and undergraduate levels
  • check_circleMentor students and build an equitable and diverse scholarly environment
  • check_circleEngage in professional and institutional service activities
  • check_circleContribute to a collaborative and vibrant academic community

Requirements

  • verifiedDoctorate in Statistics, probability, mathematics, computer science, or a related field

Nice to Have

Demonstrated research interests or expertise in the development of new theory/method either directly or with clear implications for applications.

Benefits & Perks

check_circleEmployment assistance for spouse or partner of faculty candidates
Michigan State University Information Technology cover image
Michigan State University Information Technology logo
Company

Michigan State University Information Technology

Industry

IT Services and IT Consulting

Headquarters

East Lansing, Michigan

Open Roles

1

#makingIThappen

Michigan State University Information Technology operates as a central IT Services and IT Consulting division based in East Lansing, Michigan. The department provides essential technical infrastructure and support to a massive academic community, including over 50,000 students, 5,700 faculty and academic staff, and more than 6,000 support personnel. These individuals reside and work across a campus spanning over 500 buildings. The core IT Services team consists of approximately 635 IT professionals, while an additional 226 specialists are employed directly by individual colleges and departments throughout the university. This structure ensures comprehensive technology coverage for the entire institution. The organization seeks inquisitive, driven, and creative professionals who are passionate about technology and dedicated to hard work. Opportunities exist for career development, including short-term and long-term growth paths for those joining the team. The environment is particularly relevant for Michigan State University alumni seeking to contribute to the institution that shaped their own careers. By applying their skills, employees help expand the university's technological capabilities and support its broader mission. The competitive landscape for IT talent makes this a significant role within the higher education sector.
View company profilearrow_forwardlanguageWebsitelinkLinkedIn
Quick Overview

Experience

Mid Level

Education

Doctorate in Statistics, probability, mathematics, computer science, or a related field is required

Job Type

Full-Time

Skills Required

High-Dimensional ProbabilityRandom Matrix TheoryRandom GraphsStochastic AnalysisStochastic Processes
$18-25/hr
arrow_forward
Is this Assistant/Associate/Full Professor Tenure System job remote, hybrid, or on-site?expand_more
Michigan State University Information Technology has listed this Assistant/Associate/Full Professor Tenure System role as on-site.
How much experience is required for this Assistant/Associate/Full Professor Tenure System role?expand_more
Candidates for Assistant/Associate/Full Professor Tenure System at Michigan State University Information Technology should have mid level.
What skills do you need for the Assistant/Associate/Full Professor Tenure System role at Michigan State University Information Technology?expand_more
Key skills for Assistant/Associate/Full Professor Tenure System at Michigan State University Information Technology include High-Dimensional Probability; Random Matrix Theory; Random Graphs; Stochastic Analysis; and Stochastic Processes.
What education is required for Assistant/Associate/Full Professor Tenure System at Michigan State University Information Technology?expand_more
Educational requirements for this role: Doctorate in Statistics, probability, mathematics, computer science, or a related field is required.
What category does the Assistant/Associate/Full Professor Tenure System role belong to?expand_more
Assistant/Associate/Full Professor Tenure System at Michigan State University Information Technology is part of the scientific & qa job category on Recrutus.

About Michigan State University Information Technology

Michigan State University Information Technology operates as a central IT Services and IT Consulting division based in East Lansing, Michigan. The department provides essential technical infrastructure and support to a massive academic community, including over 50,000 students, 5,700 faculty and academic staff, and more than 6,000 support personnel. These individuals reside and work across a campus spanning over 500 buildings. The core IT Services team consists of approximately 635 IT professionals, while an additional 226 specialists are employed directly by individual colleges and departments throughout the university. This structure ensures comprehensive technology coverage for the entire institution.

The organization seeks inquisitive, driven, and creative professionals who are passionate about technology and dedicated to hard work. Opportunities exist for career development, including short-term and long-term growth paths for those joining the team. The environment is particularly relevant for Michigan State University alumni seeking to contribute to the institution that shaped their own careers. By applying their skills, employees help expand the university's technological capabilities and support its broader mission. The competitive landscape for IT talent makes this a significant role within the higher education sector.

Browse more roles: All Michigan State University Information Technology jobs, scientific & qa jobs on Recrutus.

Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified employers, salary benchmarks, and remote-friendly teams across India and beyond.

publiclanguageshare
Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryCareer guidesCareer blogSalary insights
Job types
Contractor jobsFull-Time jobsIntern jobsOther jobsPart-Time jobsPer-Diem jobsTemporary jobs
Top states
Jobs in TexasJobs in New YorkJobs in CaliforniaJobs in FloridaJobs in TennesseeJobs in North CarolinaAll states →
Top categories
Healthcare & Nursing jobsLogistics & Warehouse jobsEngineering jobsSales jobsIT jobsAccounting & Finance jobsHospitality & Catering jobs
Popular skills
CDL-A jobsRegistered Nurse jobsBLS jobsEnglish jobs
Featured employers
Company
About usFAQContactPrivacy policyUS privacy notice

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
Accessibility