Tempe, Arizona, The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) seeks applicants for several tenure-track/tenured faculty positions in “Stochastic and Robust Decision Making” in the School of Computing and Augmented Intelligence (SCAI). This search will target scientists and engineers with research into statistical methods for decision support, resilient and secure systems, and decentralized decision making. Theoretical areas of interest include stochastic modeling and optimization, applied probability and statistics, distributed computing and optimization, and machine learning. Application areas of interest include but are not restricted to supply chain engineering; intelligent manufacturing; health, energy, and sustainable systems; and humanitarian systems. The state of Arizona recently committed new investments towards the university in the areas of human performance, future communication technologies, extreme environments, and advanced manufacturing, within the context of its New Economy Initiative (NEI, https://impactarizona.asu.edu/new-economy-initiative ). Candidates with application interest in these key research thrust areas are particularly encouraged to apply.
SCAI currently houses several ASU Centers – including Center for Assured and Scalable Engineering (CASCADE, https://cascade.asu.edu ), Center for Accelerating Operational Efficiency (CAOE, https://caoe.asu.edu/ ), Center for Biocomputing, Security and Society (CBSS, https://biodesign.asu.edu/biocomputing-security-and-society ) , Center for Embedded Systems (CES https://ces.asu.edu ), Center for Secure, Trusted, and Assured Microelectronics (STAM, https://stamcenter.asu.edu ), Center for Cybersecurity and Trusted Foundations (CTF, https://globalsecurity.asu.edu/cybersecurity-and-trusted-foundations ) , Center for Ubiquitous Computing (CUBIC, https://cubic.asu.edu ), ASU-Mayo Center for Innovative Imaging (AMCII, https://amcii.asu.edu ), and AZ BlockChain Applied Research Center (BARC, https://www.azbarc.org ) – and have a large number of faculty working on a variety of relevant topics that include network algorithms and optimization, machine learning and Artificial Intelligence (AI), distributed algorithms and systems, data management, and cloud and high performance computing. The current openings are intended to broaden and strengthen this expertise, which is crucial to university initiatives and velocity.
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 and Augmented Intelligence is currently the most involved in the interest areas of this research.
Appointments will be at the Assistant, Associate, or Full Professor rank commensurate with the candidate’s experience and accomplishments, beginning August 2023.
Qualifications
Required Qualifications:
Earned doctorate or equivalent in industrial engineering, operation research, computer science, computer engineering, or a closely related field by the time of appointment;
Evidence of excellence in research, as appropriate to the candidate’s rank; and
Evidence of excellence in teaching, as appropriate to the candidate’s rank
Desired qualifications:
Potential (for junior applicants) or evidence (for senior applicants) for establishing an externally funded research program
Commitment to teaching at both the graduate and the undergraduate levels
Evidence of commitment to a diverse academic environment, as appropriate to the candidate’s rank
Application deadline is October 2, 2022 . Applications will continue to be accepted on a rolling basis for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled. To apply, visit https://hiring.engineering.asu.edu/ and select “apply now” next to the corresponding position. Candidates will be asked to create or use an existing Interfolio Dossier to submit the following:
Cover letter
Curriculum Vitae
Statement describing research interests (two pages maximum)
Statement describing teaching interests and philosophy (two pages maximum)
Statement describing commitment and approaches to advance Diversity, Equity, Inclusion and Belonging*
Contact information for three references
*The ASU Charter states, “ASU is a comprehensive public research university, measured not by whom it excludes, but by whom it includes and how they succeed; advancing research and discovery of public value; and assuming fundamental responsibility for the economic, social, cultural and overall health of the communities it serves.” The Fulton Schools of Engineering are dedicated to continuous innovation, student success, faculty excellence, and cultivation of an environment that is diverse, equitable, inclusive and promotes belonging. The diversity statement provides applicants an opportunity to demonstrate their past and current activities in promoting diversity, equity, inclusion and belonging and how future activities will align with upholding the ASU Charter.
For additional information regarding position specifics, please contact the search committee chair, Professor Giulia Pedrielli at giulia.pedrielli@asu.edu .
Equal Employment Opportunity Statement
A background check is required for employment. 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 https://www.asu.edu/aad/manuals/acd/acd401.html and https://www.asu.edu/titleIX/ .)
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Required Qualifications:
Earned doctorate or equivalent in industrial engineering, operation research, computer science, computer engineering, or a closely related field by the time of appointment;
Evidence of excellence in research, as appropriate to the candidate’s rank; and
Evidence of excellence in teaching, as appropriate to the candidate’s rank
Desired qualifications:
Potential (for junior applicants) or evidence (for senior applicants) for establishing an externally funded research program
Commitment to teaching at both the graduate and the undergraduate levels
Evidence of commitment to a diverse academic environment, as appropriate to the candidate’s rank