Visiting Professor

Posting Details


Posting Number F00326P


Working Title Visiting Professor
Tenure Status Not Eligible
Benefit Status Full Benefits
Months Per Year 9 months
Proposed Start Date 08/16/2018


Department Civil and Environmental Engineering - 2530


University Summary

The School of Engineering at the University of Dayton is searching for a visiting professor to teach and to conduct interdisciplinary research in the Department of Civil & Environmental Engineering and Engineering Mechanics. This will be a full-time, non-tenure track faculty, on a 9-month contract. The successful candidate will also be responsible for course and/or lab development activities, academic and professional advising for both undergraduate and graduate students, developing and submitting proposals, and conducting interdisciplinary research. This position is renewable for up to three (3) years, and will be partially self supported through research funds.

University Summary Information

The University of Dayton, founded in 1850 by the Society of Mary, is a top ten Catholic research university. The University seeks outstanding, diverse faculty and staff who value its mission and share its commitment to academic excellence in teaching, research and artistic creativity, the development of the whole person, and leadership and service in the local and global community.

To attain its Catholic and Marianist mission, the University is committed to the principles of diversity, inclusion and affirmative action and to equal opportunity policies and practices. As an Affirmative Action and Equal Opportunity Employer we will not discriminate against minorities, females, protected veterans, individuals with disabilities, or on the basis of sexual orientation or gender identity.

Minimum Qualifications

• Ph.D. in Civil Engineering with specialization in geotechnical engineering or related field
• Strong record of publication in refereed journals in areas such as of uncertainty quantification, data mining and spatial data analysis using Bayesian theory, machine learning, stochastic simulation or modeling
• Demonstrated experience in guiding master students’ thesis and giving lectures in college-level courses
• Strong written communication skills
• Demonstrated record of funded research serving as PI or Co-PI

Preferred Qualifications

• Demonstrated successful experience in stochastic simulation and algorithms development for engineering applications
• Experience in integrating remote sensing data and geophysical measurements in pattern recognition, and three-dimensional subsurface modeling
• Good verbal presentation skills
• Effective interpersonal communication skills
• Potential for excellence in conducting multidisciplinary research and to develop new graduate courses
• Experience in applying machine learning algorithms in solving engineering problems
• Experiences in temporal and spatial corrosion model development and developing strategies in infrastructure maintenance
• Experience in Bayesian inferential framework in engineering application

• Demonstrated successful experiences and the potential for excellence in teaching technical subjects, specifically when employing active learning approaches
• An appreciation of the University’s Marianist values of theory-to-practice, practical wisdom, inclusivity, community and educating the whole person

Number of Positions Available 1
Application Review Date 02/01/2018
Closing Date 01/31/2018
Open until filled?
Special Instructions to Applicants
Primary Contact for this Position Robert Liang

Posting Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents
  1. Cover Letter
  2. Curriculum Vitae
  3. Teaching Philosophy
  4. List of References
  5. Statement of Research
Optional Documents

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