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Assistant or Associate Professor - Engineering Education

Job in Lincoln, Lancaster County, Nebraska, 68511, USA
Listing for: University of Nebraska-Lincoln
Full Time position
Listed on 2026-10-13
Job specializations:
  • Education / Teaching
    University Professor, Academic
  • Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below
Working Title

Assistant or Associate Professor - Engineering Education

Department

College of Engineering-0907

Description Of Work

The College of Engineering (CoE) at the University of Nebraska-Lincoln ((Use the "Apply for this Job" box below).) is seeking applications for a tenure-track or tenured faculty position at the rank of assistant or associate professor in the area of engineering education. The primary faculty appointment will be in one of the following academic units in the College of Engineering:
Chemical and Biomolecular Engineering, Electrical & Computer Engineering, Durham School of Architectural Engineering and Construction (specifically Construction Management or Construction Engineering), depending on an applicant’s qualifications. Candidates selected will be expected to contribute to the academic programs in their CoE unit through teaching undergraduate courses as well as teaching graduate-level engineering education courses and supervising graduate research within the PhD in Engineering – Specialization in Engineering Education Research program.

Candidates will be expected to establish externally funded discipline-based education research ( DBER ) programs and collaborate with researchers within CoE to study and transform engineering education through fundamental and applied research. The DBER initiative at UNL’s College of Engineering () boasts four tenured or tenure-track faculty members and 6 PhD alumni since our program’s launch in 2020. DBER faculty reside in their respective disciplines where, through their presence and participation on their faculties, they build relationships and collaborations with their disciplinary colleagues to conduct engineering discipline-specific education research that focuses on aspects unique to the education and preparation of professionals in their discipline.

DBER faculty also operate as a community to conduct cross-disciplinary engineering education research focused on aspects common to the education and preparation of all engineering professionals.

Minimum

Required Qualifications
  • Applicants must have a Ph.D. or equivalent in an engineering discipline (including engineering education) or a closely related field, with a bachelor’s and/or master’s degree in an engineering discipline.
  • Applicants must have doctoral training that emphasized rigorous engineering education research practices and/or have an established track record in engineering education research.
  • Applicants must have a record of strong scholarly achievement.
  • Applicants must have a demonstrated commitment to excellence in undergraduate and graduate education commensurate to the position level they are applying for.
  • Applicants must have the potential to establish a strong externally funded research program.

Individuals under consideration for appointment at the Associate Professor level are expected to satisfy the University’s requirements, as well as the applicable unit-level standards, for tenure and promotion at that rank. In general, candidates should demonstrate a sustained research program, a strong body of peer-reviewed publications, success in securing external research support, and a consistent record of effective teaching and mentorship.

Preferred Qualifications
  • Teaching experience at the undergraduate and/or graduate level
  • Experience conducting discipline-based education research
  • Experience mentoring undergraduate and/or graduate students
  • This position is open to all research areas within engineering education; we are particularly interested in those whose research uses machine learning, deep learning, large language models, generative AI, or advanced quantitative methods to answer critical research questions.
Position Requirements
10+ Years work experience
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