The Fulton Schools of Engineering at Arizona State University (ASU) and the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) seeks applicants for a tenure-track faculty position in Artificial Intelligence (AI), Machine Learning and Natural Language Processing. All aspects of AI and Machine Learning will be of interest including knowledge representation, deep learning, adversarial learning, sparse learning, optimization methods, and reinforcement learning. Areas of NLP will include question answering, natural language understanding, connecting language and machine perception, dialog systems, document understanding, natural language generation, and machine translation. The originality and potential impact of each candidate’s work are higher priorities than the specific area of research.
Appointments will be at the AssistantProfessor rank commensurate with the candidate’s experience and accomplishments, beginning August 2019.
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 March 11, 2019; 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:
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 at firstname.lastname@example.org.
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.
Required qualifications: Earned Ph.D., or terminal degree, in Computer Science, Operations Research, Software Engineering, or a closely related field by the time of appointment. Required qualifications also include demonstrated evidence of research capability and commitment to teaching excellence. Desired qualifications: 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.
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