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Job ID: 103591

Simulation Engineering & Precision Learning, Tenure/Tenure Track
University of Virginia, Charlottesville

Date Posted Feb. 14, 2018
Title Simulation Engineering & Precision Learning, Tenure/Tenure Track
University University of Virginia, Charlottesville
Department School of Engineering and Applied Science
Application Deadline Open until filled
Position Start Date Available immediately

  • Feb. 14, 2018
  • Simulation Engineering & Precision Learning, Tenure/Tenure Track
  • School of Engineering and Applied Science
  • University of Virginia, Charlottesville
    Charlottesville, VA
    United States
  • Open until filled
  • Available immediately
  • Assistant Professor
    Associate Professor
  • Education Systems & Design
    Computer Science
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University of Virginia
Simulation Engineering & Precision Learning, Tenure/Tenure Track

The School of Engineering and Applied Science & the Curry School of Education at the University of Virginia seek applicants for an open rank tenure-track/tenured faculty position in the area of simulation science, precision learning, adaptive learning systems, and associated technologies. In collaboration with other schools and institutes across UVA, our faculty is working to accelerate learning through the use of immersive virtual environments, serious games and multiplayer simulations. We seek a leader in the engineering and technological aspects of that work who will collaborate with colleagues on the development, design, implementation, and evaluation of simulated learning environments for the purposes of professional preparation. The ideal candidate will provide intellectual and design leadership for the technological components of simulated learning environments or related areas like behavioral modeling and simulation and human-simulation interaction. Other responsibilities include serving as a resource, mentor, and guide for faculty efforts to integrate simulated learning environments into professional preparation programs; and teaching, mentoring and advising students. This position is in the newly created Department of Engineering Systems and Environment, which provides world-leading research and education on engineering contributions to society’s most pressing challenges.
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A doctoral degree in engineering, computer science, or related field is required. Experience with machine learning, deep learning, artificial intelligence, virtual reality systems and/or work in simulation of complex social settings is required. A record of collaboration with or prior work experience in related industry contexts and/or experience leading technology-driven, educational project teams is required. Experience developing, implementing, and refining simulation exercises in various settings is also required. A commitment to teaching excellence is required. Experience with multi-disciplinary research and development projects is preferred. Appointment with tenure requires documented excellence in research and teaching, and an emerging national reputation. Preference will be given to candidates who would flourish in and support a collaborative, diverse community and who would complement or expand the strengths of the department’s current faculty.

To apply visit and search on Posting Number 0622553.

Complete a Candidate Profile, attach a cover letter, curriculum vitae, a statement of teaching philosophy, a summary of research interests, and contact information for three references.

Screening begins March 5, 2018.

The position is open until filled.

For questions please contact Ellen Beverly at

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  • With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, UVA is fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans, individuals with disabilities and others who would bring additional dimensions of diversity to the university. We believe diversity is excellence expressing itself through every person’s perspectives and lived experiences.

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