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Professor (Open Rank), Artificial Intelligence and Data Science

Job description

Position Summary

The Daniel Felix Ritchie School of Engineering and Computer Science (RSECS) at the University of Denver (DU) invites applications for four tenure-track/tenured faculty position at all levels in the areas of Artificial Intelligence (AI) and Data Science (particularly in machine learning or data mining). We are looking for exceptional candidates who are committed to developing or enhancing a research portfolio and funded research program, carrying out innovative teaching, and engaging with a vibrant and diverse collaborative community. We are especially interested in people who can also build research partnerships with existing faculty within our School (who have strengths in algorithms, computer science education, robotics, mechatronics, embedded systems and UAVs, game development, programming languages, security, smart cities, biomedical devices and technologies, software engineering) as well as across campus (e.g., psychology, business, law).

Successful candidates must have an earned doctorate in computer science, electrical and computer engineering or in a related discipline, with an outstanding research and teaching record consistent with the search area and the rank. Rank will be determined at time of hire commensurate with background and experience. A competitive start-up package will be offered.

Qualifications

Assistant Professor

Required:

  • Ph.D. in computer science, electrical and computer engineering or in a related discipline.
  • Evidence indicating potential for high-quality high-impact research.
  • Evidence indicating potential for high-quality teaching.
  • Inclusive mindset.
  • Commitment to high-quality professional service.

Preferred:

  • Good communication skills and a teamwork mindset.
  • Interest in working on multi-disciplinary problems that contribute to the public good.
  • Post-doctoral experience.
  • Previous teaching experience.
  • Demonstrated knowledge and experience with culturally responsive teaching methods and/or pedagogies to effectively engage broadly diverse student populations.

Associate Professor

Required:

  • Ph.D. in computer science, electrical and computer engineering or in 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.

Preferred:

  • 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.

Professor

Required:

  • Ph.D. in computer science, electrical and computer engineering or in a related discipline.
  • Eleven to fifteen 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:

  • 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.

Application Deadline

Application review will begin on December 1, 2018, early submissions are advised. Applications will continue to be reviewed until the position is filled.

Special Instructions

Candidates must apply online through www.du.edu/jobs to be considered. Only applications submitted online will be accepted. Once within the job description online, please scroll to the bottom of the page to apply. Inquiries about the position can be made For technical questions about the application process, please contact

Please include the following documents with your application:

  1. Cover Letter outlining information about how you will advance our inclusive excellence commitment through your research, teaching, and service
  2. Current CV
  3. Research Statement, including, as appropriate, funding, multidisciplinary collaborations, and/or plans
  4. Teaching Statement including record and/or plans for inclusive excellence
  5. List of 3-5 individuals who can serve as professional references

 

 

 

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Job No: 006031
Posted: 10/30/2018
Application Due: 12/29/2018
Work Type:
Salary: Negotiable