College of Engineering & Mathematical Sciences
The University of Vermont

The College of Engineering and Mathematical Sciences (CEMS) at the University of Vermont (UVM) is seeking applications for four tenure-track faculty positions in Computer Science and Complex Systems, with a Fall 2017 start date. These positions will be at the rank of Assistant Professor, or Associate Professor with tenure for outstanding candidates already at that rank. We seek candidates with active research in one or more of the following areas:

  • Cybersecurity, especially in languages and verification, or applications of machine learning or complex systems approaches to cybersecurity.
  • Computational Intelligence, broadly defined to include data mining, machine learning, data science, bio-inspired approaches, and Deep Learning, with broad potential for applications to Big Data in areas such as biology, medicine, cybersecurity, social science, sociotechnical systems, and/or environmental science.
  • Complex Systems, modeling and/or analysis of emergent phenomena allied with data-driven empirical work, ideally with applications in biology, medicine, cybersecurity, the social sciences, sociotechnical systems, and/or environmental science.
  • Computational Biology, computational approaches to the study of biological systems such as in genomics, proteomics, phylogenetics, biological pathways or networks, etc.

Ideally, potential for synergies between candidates should be evident, and cluster hires focused on some subset of the above topics are possible. Existing teams of collaborators are encouraged to apply. At least two of the positions will have primary appointments in Computer Science; the other two could have primary appointments in Computer Science, Mathematics, Statistics, or Engineering (Civil, Environmental, Electrical, Mechanical, or Bioengineering), depending on the qualifications and desires of the candidates. We are particularly interested in candidates who would interact closely with researchers in the post-disciplinary Vermont Complex Systems Center and/or the UVM College of Medicine.

Applicants must have a Ph.D. in a relevant field, a strong research record with excellent potential for external funding, and the potential to supervise masters and doctoral students. Postdoctoral experience is preferred. Successful candidates will be expected to contribute to the undergraduate and graduate teaching mission of their primary unit and ideally also participate in transdisciplinary graduate education in Complex Systems & Data Science.

The University is an Equal Opportunity/Affirmative Action employer and actively encourages applications from women, veterans, and people from diverse racial, ethnic, and cultural backgrounds. To that end, candidates must provide a diversity impact statement as part of the application detailing how they will further the diversity of CEMS through their teaching, research, and/or service at UVM.

The University of Vermont, established in 1791, is a comprehensive research university with a current enrollment of 12,000+ undergraduate, graduate, and medical students. The scientific and academic environments in CEMS, and throughout UVM, are dynamic, highly collaborative, and multi-disciplinary. UVM has state of the art core facilities, including the Vermont Advanced Computing Center and the Advanced Genome Technologies Core, and offers generous benefits packages, including health, dental, retirement contributions, and tuition remission.

The University is located in beautiful Burlington, Vermont, about 90 miles south of Montreal. Burlington is consistently ranked as one of the best small cities in America for quality of living, and features year-round outdoor recreation and cultural events. Greater Burlington has a population of approximately 150,000 and enjoys a panoramic setting on Lake Champlain, bordered by the Adirondack and Green Mountains.

The applicant must submit a cover letter identifying his or her specific area(s) of expertise and which department(s) they would prefer a primary appointment in, a current curriculum vitae, a statement of teaching philosophy, a detailed statement of research interests, the diversity statement described above, and names of at least three people who can provide letters of reference, at least one of which who can comment on teaching. All application materials must be submitted online at, position #005140. Applicants are also encouraged to create a Google Scholar profile. Inquiries may be addressed to the Search Committee Chairperson, Dr. Chris Danforth ( Applications will be accepted until filled; review of applications will begin on December 1, 2016.

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