Professor (Open Rank), Computer Science

Apply now Job no: 492900
Work type: Faculty Full-Time
Location: Denver, CO
Categories: Faculty

The Department of Computer Science at the University of Denver (DU) is committed to building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a multicultural environment. We especially encourage women, minorities, members of the LGBTQ community, and people with disabilities and veterans to apply to our multiple tenure line faculty positions at all faculty levels.

Position Summary

We will consider applicants from all areas and are particularly interested in candidates working in Cybersecurity and privacy; Artificial Intelligence, including AI theory, machine learning, computer vision, natural language processing, and search; and Data Science. We are especially interested in applicants that can also build research partnerships with existing faculty who have strengths in algorithms, computational geometry, computer science education, embedded systems and UAVs, games, human-robot interactions, programming languages, security, privacy, and software engineering. Additional research collaboration opportunities can be found within the Ritchie School of Engineering and Computer Science and the University. Our school strategic plan is focused on 6 cluster areas: AI & Data Science, Biomedical devices and technologies, Computer Science and Engineering Education, Robotics and mechatronics, Cybersecurity and cyberphysical systems, and Smart Cities.

Cybersecurity: The Colorado Research Institute of Security and Privacy (CRISP) is housed in the Department of Computer Science at the University of Denver. The CRISP laboratory has its own infrastructure for cybersecurity research and education, including isolated networks, IoT workbenches, and sensors for creating heterogenous communicating systems. The Department of Computer Science is also home to a professional MS in Cybersecurity program, serving the growing regional and national demand in the cybersecurity workforce. The course offerings aim to provide an in-depth exposure of security principles to our undergraduate and graduate students, as well as to the pool of working professionals enrolled in our professional program. 

New cyber security and privacy research opportunities are arising as large-scale personal data integration demands are identified, billions of low-cost devices are networked, and automated processes cater to critical business, civil and military needs. Candidates are expected to work in a multidisciplinary, diverse and inclusive setting spanning efforts with domains such as engineering, health sciences, and social sciences. Research areas of interest include, but not limited to, adaptive cyber defense, advanced persistent threat management, critical infrastructure protection, cognitive security, network security, privacy enhancing systems, secure computation theory and applications, security and privacy in clinical information systems, blockchain algorithms and systems, secure distributed ledgers, secure software engineering, security in heterogeneous environments, security in resource-constrained environments, systems security, situational awareness in the Internet-of-Things, and usable security and privacy. Experience related to teaching or assisting in cybersecurity courses such as Computer Forensics, Computer Security, Network Security, Secure Software Development, Ethical Hacking, or other special topics in related areas is beneficial.

The University of Denver is the oldest and largest independent university in the Rocky Mountain Region and is a research university with high research activity and enrolls approximately 11,700 students in its undergraduate, graduate, and professional programs. The Ritchie School of Engineering and Computer Science (RSECS) moved in Fall 2016 to its new $63M building that houses state-of-the-art research and instructional laboratories as well as a modern innovation and maker-space floor. DU, RSECS and the Department of Computer Science are committed to a diverse and inclusive work and educational environment. We value the importance of academic excellence as well as work/life balance. The Mile High City (Denver) ranked No. 1 on U.S. News & World Report’s list of the 2016 Best Places to Live, and ranked No. 2 in 2019.

Successful candidates must have an earned doctorate in computer science, or closely related field, with an outstanding research and teaching record consistent with the search area and the rank. We encourage and value multi-disciplinary collaborations, especially those that can bridge the boundaries of departments, clusters, school and the University. Rank will be determined at time of hire commensurate with background and experience. Competitive start-up packages will be offered.

Required Qualifications

Assistant Professor

  • PhD in Computer Science or a related discipline is required by the time of appointment.
  • Research record in terms of publications and/or funding or funding potential commensurate with appointment level.
  • Understanding of the importance of teaching within the teacher-scholar model and the desire to teach at the graduate and undergraduate level.
  • Ability to collaborate with Departmental, Cluster, School and University researchers.
  • An inclusive mindset.

Associate Professor

  • PhD in Computer Science or a related discipline. 
  • Six years of increasing academic responsibility, but persons demonstrating unusually high academic promise may have gained equivalent experience in a shorter time.
  • Evidence of high-quality, high-impact research. 
  • Evidence of excellence in teaching. 
  • Evidence of high-quality student mentoring. 
  • Inclusive mindset. 
  • Evidence of high-quality professional service.

Professor

  • Ph.D. in Computer Science or a related discipline. 
  • Eleven years of increasing academic responsibility, but persons demonstrating unusually high academic promise may have gained equivalent experience in a shorter time.
  • Evidence of high-quality, internationally recognized high-impact research.
  • Evidence of excellence in teaching. 
  • Evidence of high-quality student mentoring. 
  • Inclusive mindset. 
  • Evidence of high-quality professional service.

Preferred Qualifications

Assistant Professor

  • Good communication skills. 
  • Interest in working on multi-disciplinary problems that contribute to the public good. 
  • Demonstrated excellence in teaching. 
  • Demonstrated knowledge and experience with culturally responsive teaching methods and/or pedagogies to effectively engage broadly diverse student populations.
  • Understanding of the importance of teaching within the teacher-scholar model and the desire to teach at the graduate and undergraduate level.
  • Ability to collaborate with Department, Cluster, School and University researchers.
  • An inclusive mindset.

Associate Professor

  • Good communication skills and a teamwork mindset. 
  • Interest in working on multi-disciplinary problems that contribute to the public good. 
  • Demonstrated knowledge and experience with culturally responsive teaching methods and/or pedagogies to effectively engage broadly diverse student populations. 
  • Strong funding record. Understanding of the importance of teaching within the teacher-scholar model and the desire to teach at the graduate and undergraduate level.
  • Ability to collaborate with Department, Cluster, School and University researchers.
  • An inclusive mindset.

Professor

  • Good communication skills and a teamwork mindset. 
  • Interest in working on multi-disciplinary problems that contribute to the public good. 
  • Demonstrated knowledge and experience with culturally responsive teaching methods and/or pedagogies to effectively engage broadly diverse student populations. 
  • Strong funding record.
  • Understanding of the importance of teaching within the teacher-scholar model and the desire to teach at the graduate and undergraduate level.
  • Ability to collaborate with Department, Cluster, School and University researchers.
  • An inclusive mindset.

Application Deadline
Review of applications will begin immediately. Applications will continue to be reviewed until the position is filled. 

Special Instructions
Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.

Salary Range
Salary will be determined by the qualifications of the selected candidate balanced with departmental budget availability, internal salary equity considerations, and available market information.

Please include the following documents with your application:

  1. CV
  2. Cover Letter detailing your qualifications and how your research will fit within the Department, Cluster and the Ritchie School of Engineering and Computer Science
  3. Statement on Research, including, as appropriate, funding, multidisciplinary collaborations and/or plans
  4. Statement on Teaching
  5. Statement on Inclusivity and Diversity addressing how past and/or potential contributions towards inclusivity and diversity will advance DU’s commitment to inclusivity and diversity
  6. List of 3 individuals who can serve as professional references

The University of Denver is committed to enhancing the diversity of its faculty and staff. We are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity, disability, military/ veteran status or any other status protected by law.

All offers of employment are based upon satisfactory completion of a criminal history background check.

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