Kettering University

Educational Services · Primarily MI · PERM filings 2019–2024

#10,433 top sponsor

Overview

Kettering University is a Educational Services employer that has filed 7 PERM green-card applications between FY2019 and FY2024. That places it #10,433 among all U.S. PERM sponsors in our dataset. 4 were certified (57.1% approval rate), taking about 313 days on average. The most-sponsored role is Engineering Teachers, Postsecondary, with most worksites in MI, and the median sponsored wage is $87,000.

7

PERM filings

57.1%

approval

0

denied

$87,000

median wage

313d

avg processing

Worker background

Across 4 filings with beneficiary data, the most common country of origin is INDIA (75%). (From legacy PERM form data, FY2020–FY2024.)

Top countries of origin

  • India3
  • Sudan1

Prior visa status

  • F-14

Education

  • Doctorate4

PERM filings by year

Occupations & job titles

The occupations Kettering University most often sponsors, with average wages.

OccupationFilingsAvg wage
Engineering Teachers, Postsecondary 4 $86,000
Computer Science Teachers, Postsecondary 2 $89,500
Business Teachers, Postsecondary 1 $85,490

Common job titles

Assistant Professor 5 Assistant Professor of Computer Science 1 Assistant Professor of Management 1

Worksite states

Wage range

$85,000

25th

$87,000

median

$87,000

75th

$89,000

90th

Law firms used

  • Law Offices of Afaf Vicky Farah7

Recent filings

CaseJob titleStatusWorksiteDecision
G-300-24072-792471 Assistant ProfessorCertified Flint, MI Jul 9, 2025
G-300-24082-823430 Assistant ProfessorCertified Flint, MI Jul 9, 2025
G-300-24078-807246 Assistant ProfessorCertified Flint, MI Jul 1, 2025
A-23059-06530 Assistant Professor of ManagementCertified Flint, MI May 9, 2024
A-21109-75709 Assistant ProfessorCertified-Expired Flint, MI Dec 14, 2021
A-21105-74426 Assistant ProfessorCertified-Expired Flint, MI Dec 13, 2021
A-19149-11057 Assistant Professor of Computer ScienceCertified-Expired Flint, MI Oct 21, 2019

Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.