Assistant Professor, College of Engineering and Science

Posted Yesterday
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Ruston, LA, USA
In-Office
Entry level
Edtech
The Role
Tenure-track Assistant Professor responsible for teaching in an engineering or science discipline, conducting multidisciplinary research in model-based systems engineering or applied AI and machine learning, securing external research funding, supervising graduate students, and contributing university and professional service.
Summary Generated by Built In

Thank you for your interest in employment with Louisiana Tech University.

In support of its recent efforts in partnership with private industry to support model-based systems engineering (MBSE) and machine learning research, the College of Engineering and Science at Louisiana Tech University invites applications for a tenure-track faculty position. Candidates of particular interest include those with demonstrated research accomplishments in the fields of model-based systems engineering or applied artificial intelligence/machine-learning. Candidates must hold a doctorate or equivalent degree in an engineering or science field relevant to the application spaces listed above, and will teach in their relevant discipline. Candidates must be able to obtain a security clearance for defense-related funding opportunities with our strategic partners.

Successful tenure-track candidates are expected to actively participate in multidisciplinary research efforts in the College; initiate, build and sustain an externally funded research program; and supervise master’s and doctoral students. Excellent written and oral communication skills, strong teaching skills, and a commitment to high quality university and professional service are also expected. See the College website for more information (http://coes.latech.edu).

The application should contain a single PDF that includes 1) cover letter; 2) curriculum vitae; 3) statement of research interests and plans; 4) description of teaching experience and interests; and 5) the names and contact information for at least three references. Review of applications will begin immediately and will continue until the position is filled. The start date is negotiable.

Louisiana Tech is an Equal Opportunity/Affirmative Action/ADA Employer and places a high priority on the creation of an environment supportive of ethnic minorities, women, veterans, and persons with disabilities.

Posting Close Date: This position will remain open until filled.

Please Note:  Applications must be completed by 11:59 p.m. on the Job Closing Date to ensure consideration.

Note to Applicant:

Applicants should fully describe their qualifications and experience with specific reference to each of the minimum and preferred qualifications in their cover letter. The search committee will use this information during the initial review of application materials.

  

References will be contacted at the appropriate phase of the recruitment process.

  

This position may require a criminal background check to be conducted on the candidate(s) selected for hire.

  

As part of the hiring process, applicants for positions at the Louisiana Tech University may be required to demonstrate the ability to perform job-related tasks.

  

Skills Required

  • Doctorate or equivalent degree in an engineering or science field relevant to model-based systems engineering or applied artificial intelligence and machine learning
  • Ability to obtain a security clearance for defense-related funding opportunities
  • Demonstrated research accomplishments in model-based systems engineering or applied artificial intelligence and machine learning
  • Excellent written and oral communication skills
  • Strong teaching skills
  • Commitment to high-quality university and professional service
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The Company
1,367 Employees
Year Founded: 1894

What We Do

Louisiana Tech University is a selective-admissions research university serving approximately 11,000 students. It offers associate, bachelor's, master's, and doctoral degrees across 79 undergraduate majors, 32 master's programs, and nine doctoral programs. The university supports research, innovation, and partnerships with business, government, and military organizations, contributing to regional economic development and workforce opportunities for students and surrounding communities.

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