The INFORMS Computing Society (ICS) addresses the interface of O.R. and computing. Since their earliest days, O.R. and computing have been tightly linked. The practice of O.R. depends heavily on the availability of software and systems capable of solving industrial-scale problems: computing is the heart of O.R. in application.

ICS is INFORMS' leading edge for computation and technology. Major ICS interests are algorithms and software for modeling, optimization, and simulation. ICS is also interested in the leading edge of computing and how it affects O.R. (e.g. XML modeling standards, O.R. services offered over the web, open source software, constraint programming, massively parallel computing, high performance computing).

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Jobs of Interest to ICS

  • 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/ .)   In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources. ASU’s Annual Security and Fire Safety Report is available online at  https://www.asu.edu/police/PDFs/ASU-Clery-Report.pdf . You may request a hard copy of the report by contacting the ASU Police Department at 480-965-3456. 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
  • Ann Arbor, Michigan, Who We Are We’re helping people get the most out of their optimization! We’re on a mission to help people and organizations tackle complex problems and take their optimizations further. Who We’re Looking For A self-starter who’s fascinated with new technology, searches for creative approaches to solving problems, and is passionate about delivering high-value solutions to our customers. You’re a tech geek and you love to apply your expertise in modeling, optimization, and simulation to deliver value. You apply an ownership mindset to everything you do, and you live, eat, and breath teamwork and collaboration! What You’ll Do Work directly with clients to learn their critical performance indicators and look for optimization and simulation solutions to drive performance improvement Creatively analyze model structure, inputs and outputs, and results to identify problems and opportunities, working with clients to realize improvement potential Uncover and pursue solutions that improve project quality, timing, cost, or results Validate and improve data structures, build and models and follow-up scenarios, and work with the team to prepare client presentations Help create and execute project plans and successful modeling strategies, working with a team of experienced project managers and account specialists to deliver results Work with the Applied Research team to find solutions to complex modeling scenarios, and to properly document modeling approaches and results in Atlas` Work with a team of highly-qualified experts, solving diverse and fascinating problems combining operations research, optimization, and simulation Work with Fortune 500 companies and consulting partners on high-value, high-visibility projects Make real contributions to solving mission-critical and globally impactful problems What You’ll Need Proven experience creating and delivering technically sound and competitive solutions to meet customer business objectives Demonstrated ability to quickly learn complex skills and apply knowledge to customer solutions Knowledge of optimization and simulation using software solutions Database skills and the ability to analyze and manipulate large data sets Python programming skills a plus Previous optimization/simulation consulting experience desired Bachelor’s degree or equivalent in technology or equivalent combination of education and experience About Optilogic At Optilogic we believe that optimization is not just a science, it's an art too. You don’t just need a solver that can run an optimization, you need to know what problems to optimize, and a great environment to build your models. We all know that the right tool makes the job so much easier. Atlas is purpose-built for modelers so you can focus on the important things...building your model! We also know that we can always do better when working together. We are committed to helping you along your optimization journey in any way that we can, whether that is working with you on your most intricate models or lending our expertise to discover how to tackle your most complex problems. We are committed to building an inclusive and diverse team. Optilogic is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
  • Los Angeles, California, The Iovine and Young Academy for Arts, Technology and the Business of Innovation at the University of Southern California invites applications for a full-time faculty position in Creative Computing (non-tenure track, rank dependent on qualifications) to begin in the fall 2023 semester. The ideal candidate will hold a M.S. and/or Ph.D., or equivalent advanced degree, as well as a record of advanced professional experience with expertise in one or more of the following fields, or a related field: computer science, robotics, electrical engineering, mechanical engineering, information science.    Qualifications Candidates with expertise or experience in the following Academy specialization areas will be especially competitive: extended reality (virtual/augmented), computer graphics, physical computing,  augmented intelligence (combinations of AI and human intelligence), mobile applications, engineering for social good, human-centric problem solving theories and methodologies. The Academy is deeply interested in developing and advancing inclusive computing pedagogy and applications in the above areas of specialization.   Responsibilities The position focuses on teaching and co-teaching innovative courses to a diverse group of undergraduate and graduate students, in residence and online, with backgrounds in design, computer-based technologies, engineering, business and/or entrepreneurship, and/or communication. Development of national level practice, applied research and/or scholarship in one or more of the Academy specialization areas is also a core component of the position. Mentoring students in and beyond their education into professional careers is another important component. Requirements Candidates should have a minimum of two years teaching experience at peer institutions. Preference will be given to candidates who can also show evidence of teaching innovations that move outside traditional classroom environments and into real-world applications. Experience in industry and/or with computing/engineering applications for societal impact is strongly desired. The successful candidate will be a team player who will provide a vision for this groundbreaking, cross-disciplinary school, within the strategic goals of this top-tier research university. The successful candidate will also be interested in forging relationships and building opportunities with other schools and departments at USC, including but not limited to the schools of Business, Engineering, Design, Communication, Cinematic Arts, Education and Law.   About USC Iovine and Young Academy USC Iovine and Young Academy students develop expertise at the intersection of design, technology, business and communication along with competencies in each of these areas. Academy graduates can integrate divergent ideas to develop new ways of working, learning, collaborating in key emerging specializations of the 21st century – design strategy, product innovation, integrated business innovation, extended reality, physical computing, health innovation and participatory wellness, purpose-driven innovation and entrepreneurship. Academy students and graduates regularly receive offers for top internships and jobs from leading companies such as Apple, Google, Intel, Adidas, Sony, Spotify, Khan Academy, Tesla, Facebook, and Ernst and Young, and student startups have garnered more than $150M in funding and acquisition payouts since the school’s opening in 2014.  ??The Academy is proud of our efforts to foster an accessible, inclusive, diverse, and equitable learning community. As a school, it is our express purpose to reinvent undergraduate and graduate education, specifically to meet the changing needs of our students and, through their abilities, society. Through these new models for education, we are intent on providing greater access for students from diverse backgrounds, and especially those who exhibit talents, traits and attributes different from those traditionally sought by higher education programs.   About University of Southern California   The University of Southern California is one of the world’s leading private research universities. An anchor institution in Los Angeles, a global center for arts, technology, and international business, USC's diverse curricular offerings provide extensive opportunities for interdisciplinary study and collaboration with leading researchers in highly advanced learning environments.  USC strongly values diversity and is committed to equal opportunity employment. Women and men, and members of all racial and ethnic groups, are encouraged to apply.    Instructions to the applicant : Applicants should submit a letter of application discussing professional and scholarly work, teaching, and related experience; curriculum vitae; and names and contact information of three references.   All application materials should be uploaded through the online portal at usccareers.usc.edu . Finalists will be asked for additional materials. The application deadline is December 1, 2022. The position is open until filled. To insure full consideration, applications should be submitted as soon as possible . Questions can be addressed to Professor Michael Crowley, assistant dean of faculty affairs, through the administrative assistant for faculty affairs: Yolanda DiConti.    USC Iovine and Young Academy is an Equal Opportunity Employer.

INFORMS Journal on Computing Articles