The Fulton Schools of Engineering at Arizona State University (ASU) and the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) seeks applicants for an Associate Professor position in Artificial Intelligence and Natural Language Processing (both speech and text). All aspects of AI will be of interest including its theoretical foundations, such as knowledge representation, adversarial learning, sparse learning, optimization methods, and reinforcement learning, and its interdisciplinary applications in medicine, business, and education. 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.
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, the Bio-Design Institute, 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.
We seek applicants who will contribute to our programs and expand collaborations with existing faculty at ASU. Located in Tempe with easy access to the outdoors and urban amenities, ASU's vibrant and innovative approaches to research and teaching are charting new paths in education and research in the public interest. 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. Successful candidates will be encouraged to expand expertise and collaborations in these areas. 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 is currently the most involved in the interest areas of this research.
The appointment will be at the Associate Professor rank beginning August 2019.
Review of applications will begin January 2, 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
(Optional) A short diversity statement
Contact information for at least three references
For more information or questions about this position, please contact the search committee chair, Dr. Chitta Baral 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. See ASU’s full non-discrimination statement (ACD 401) at https://www.asu.edu/aad/manuals/acd/acd401.html and the Title IX statement at https://www.asu.edu/titleIX/
Required qualifications: Earned PhD or equivalent in Computer Science, Operations Research, Software Engineering, or a closely related field. 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.