11 days old
2017-11-082017-12-08

Deep Learning Faculty Positions - All ranks

ASU/Sch of Computing,Informatics,&Decision Systems Engineering
Tempe, Arizona 85287-8809
  • Job Type
    Contract
  • Job Status
    Full Time
  • Shift
    1st Shift

The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) and the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) seeks applicants for tenure-track/tenured faculty positions in Deep Learning.  Areas of interest include Deep Learning Architectures and Deep learning foundations.  The originality and potential impact of each candidate’s work are higher priorities than the specific area of research.

The AI and Machine Learning groups in the School of Computing, Informatics, and Decision Systems Engineering include faculty working on a variety of topics including natural language processing, computer vision, automated planning, knowledge representation and machine learning with applications to robotics, security and intelligent tutors.  Extensive collaborations exist across the university, including School of Human Evolution and Social Change, Department of Biomedical Informatics, School of Criminology and Criminal Justice and the Center for the Study of Religion and Conflict.  The current opening is intended to broaden this expertise and expand collaborations.

Faculty members are expected to develop an internationally recognized and externally funded research program, develop and teach graduate and undergraduate courses, advise and mentor graduate and undergraduate students, and undertake service activities. ASU strongly encourages transdisciplinary collaboration and use-inspired, socially relevant research. Although the tenure home may be in any of the Ira A Fulton Schools of Engineering, the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) is currently the most involved in the interest areas of this search. 

Review of applications will begin December 18, 2017; if not filled, reviews will occur on the 1st and 15th of every month thereafter until the search is closed.  Apply at https://hiring.engineering.asu.edu/ , candidates will be asked to submit the following through their Interfolio Dossier: 

  • Cover letter
  • Current CV
  • Statement describing research interests
  • Statement describing teaching interests
  • Contact information for three references

For more information or questions about this position, please contact the search committee chair, Dr. Chitta Baral chitta@asu.edu.

 Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law. Please see ASU’s full non-discrimination statement (ACD 401) at https://www.asu.edu/aad/manuals/acd/acd401.html and ASU’s Title IX policy can be located at https://www.asu.edu/titleIX.


Requirements

Required qualifications include an earned Ph.D., or terminal degree, in Computer Science, Software Engineering, or a closely related field.  Required qualifications also include demonstrated evidence of research capability and commitment to teaching excellence.  Desired qualifications include a record of acquiring external funding and publication in top-tier journals/conferences as appropriate to the candidate’s rank, and a commitment to participating on and leading transdisciplinary teams addressing problems of high societal impact.

Appointments will be at the Assistant, Associate, or Full Professor rank commensurate with the candidate’s experience and accomplishments, beginning August 2018.

Categories

  • Artificial Intelligence

Share this job:

Deep Learning Faculty Positions - All ranks

ASU/Sch of Computing,Informatics,&Decision Systems Engineering
Tempe, Arizona 85287-8809

Share this job

Deep Learning Faculty Positions - All ranks

ASU/Sch of Computing,Informatics,&Decision Systems Engineering
Tempe, Arizona

Separate email addresses with commas

Enter valid email address for sender.

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast