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The Applied Probability Society is a subdivision of the Institute for Operations Research and the Management Sciences (INFORMS). The Society is concerned with the application of probability theory to systems that involve random phenomena, for example, manufacturing, communication network, computer network, service, and financial systems. The Society promotes the development and use of methods for the improvement of evaluation, control, and design of these systems. Such methods include (stochastic) dynamic programming, queueing theory, Markov decision process, discrete event dynamic systems, point processes, large deviations, reliability, and so on. Our members include practitioners, educators, and researchers with backgrounds in business, engineering, statistics, mathematics, economics, computer science, and other applied sciences.

The Applied Probability Society also publishes Stochastic Systems. This open-access journal seeks to publish high-quality papers that substantively contribute to the modeling, analysis, and control of stochastic systems. The contribution may lie in the formulation of new mathematical models, in the development of new mathematical methods, or in the innovative application of existing methods. A partial list of applications domains that are germane to this journal include: service operations; logistics, transportation, and communications networks (including the Internet); computer systems; finance and risk management; manufacturing operations and supply chains; and revenue management.

To keep up-to-date with all the latest developments in the Applied Probability Society community, INFORMS members should make sure to subscribe for real-time or digest correspondence through INFORMS Connect. For INFORMS members outside of the Society or for community members outside of INFORMS who would like to receive updates as well, register here to receive select Applied Probability Society communication directly.

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Jobs of Interest to APS

  • Evanston, Illinois, APPLICATIONS INVITED FOR MULTIPLE FACULTY POSITIONS IN INDUSTRIAL ENGINEERING & MANAGEMENT SCIENCES (IEMS) We invite applications for multiple full-time, tenure-track/tenured faculty appointments at assistant or associate levels to begin September 2023.  The search is broad, encompassing all methodology and application areas of industrial engineering, operations research, and management science, including computational economics, data science, healthcare, logistics, operations, and stochastic systems. Applicants should hold an earned Ph.D. or be near completion of their doctoral studies with demonstrated research potential in related fields.  A commitment to rigorous and relevant research is essential. To be considered for tenured positions, the candidates must have demonstrated excellence in all aspects of research, teaching, and service, and a commitment to advancing diversity, equity, and inclusion. The hire will have opportunities for interdisciplinary collaboration via broad research initiatives and centers, including the Center for Deep Learning , Center for Engineering and Health , Optimization and Statistical Learning in IEMS, and Center for Engineering Sustainability and Resilience ,  Institute for Data, Econometrics, Algorithms, and Learning , Institute on Complex Systems , Transportation Center in the McCormick School of Engineering. IEMS offers an undergraduate degree and a data science & engineering minor, a Ph.D. program, and master’s degrees in analytics and engineering management. Both the undergraduate and doctoral programs are consistently ranked among the top ten by US News & World Report . Submit applications electronically at www.mccormick.northwestern.edu/industrial/career /.  Materials to be uploaded include a cover letter and a curriculum vitae, a research statement, a teaching statement, a diversity statement, and one research paper.  Candidates will be asked to provide contact information for three references on the application site.  To receive full consideration, all materials should be received by December 1, 2022.  To be considered for a meeting at INFORMS, please submit materials by October 1, 2022. Chair, Faculty Recruiting Committee Department of Industrial Engineering and Management Sciences Northwestern University 2145 Sheridan Road, Room C210 Evanston, IL 60208-3119 facultysearch@iems.northwestern.edu  We invite applications for multiple full-time, tenure-track/tenured faculty appointments at assistant or associate levels to begin September 2023. The search is broad, encompassing all methodology and application areas of industrial engineering, operations research, and management science, including computational economics, data science, healthcare, logistics, operations, and stochastic systems. Applicants should hold an earned Ph.D. or be near completion of their doctoral studies with demonstrated research potential in related fields. A commitment to rigorous and relevant research is essential. To be considered for tenured positions, the candidates must have demonstrated excellence in all aspects of research, teaching, and service, and a commitment to advancing diversity, equity, and inclusion. The hire will have opportunities for interdisciplinary collaboration via broad research initiatives and centers, including the Center for Deep Learning, Center for Engineering and Health, Optimization and Statistical Learning in IEMS, and Center for Engineering Sustainability and Resilience, Institute for Data, Econometrics, Algorithms, and Learning, Institute on Complex Systems, Transportation Center in the McCormick School of Engineering. IEMS offers an undergraduate degree and a data science & engineering minor, a Ph.D. program, and master’s degrees in analytics and engineering management. Both the undergraduate and doctoral programs are consistently ranked among the top ten by US News & World Report. Submit applications electronically at www.mccormick.northwestern.edu/industrial/career/ Materials to be uploaded include a cover letter and a curriculum vitae, a research statement, a teaching statement, a diversity statement, and one research paper. Candidates will be asked to provide contact information for three references on the application site. To receive full consideration, all materials should be received by December 1, 2022. To be considered for a meeting at INFORMS, please submit materials by October 1, 2022.
  • Houston, Texas, Job Role Summary ExxonMobil Technology and Engineering Company is looking for senior mathematical optimization scientists with backgrounds in operations research, management sciences, applied mathematics or engineering. We are looking for dynamic, creative, and resourceful individuals to join our efforts in broad set of oil & gas areas including both geoscience, engineering, commercial and low carbon solution. Successful candidates will work to apply various operations research technologies to support critical business decisions across the entire value chain. The focus on value generation provides the opportunity to have significant impact leveraging ExxonMobil’s strong belief in creating commercial advantage through the use of technology. The company places high emphasis on fundamental scientific skills and the ability to combine technical skills with business understanding to improve profitability. Job Role Responsibilities Design and develop complex optimization and simulation models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions Distill problem definitions and constraints from informal or abstract business requirements and engineering problems; and to deal with ambiguity and competing objectives Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, network flows, nonlinear programming, PDE-constrained optimization, and algorithms to design optimal or near optimal solution methodologies Contribute to various stages of optimization model development and deployment Provide technical support and enhancements to affiliates worldwide for deployed technologies Research and propose use of new technologies Please apply exxonmobil job link as well. https://jobs.exxonmobil.com/job-invite/65778/ Expected Level of Proficiency Ph.D. in Engineering, Applied Mathematics, Computer Science, Operations Research, or other related scientific disciplines is preferred Strong computational modeling and algorithmic skills is required Seeking candidates ranging in experience level from new graduate to mid-career Proven track record of solving challenging, large-scale business problems and influencing business partners is an advantage Strong background in modeling large scale discrete, nonlinear, or stochastic mathematical optimization models and developing efficient optimization algorithms is required Ability to convey rigorous mathematical concepts and considerations to non-technical audience is required Expertise in at least one major programming language (C/C++, C#, Java, Python, etc.) or optimization modeling language (e.g. AMPL, GAMS, AIMMS, OPL, etc.) is required Demonstrated communication skills and software development skills in a collaborative team environment is required A desire and an ability to grow into new science areas is required Experience in the petrochemical industry or geoscience is not required, but is an advantage Demonstrated ability to mentor other optimization scientists is an advantage Demonstrated ability to accelerate the digital maturity of business partners is an advantage
  • Nationwide, Emerging technology is disrupting business at an exponential rate. EY-Parthenon’s Quantitative Strategies and Solutions team has a market-leading proposition to create and maximize value for our clients by combining deep subject matter expertise in these emerging technologies with cutting edge quantitative solutions.  The opportunity: EY-Parthenon’s Quantitative Strategies and Solutions (QS2) team works on complex and high-profile emerging technology engagements across a broad portfolio of clients and industry sectors. We are a group of highly experienced technical professionals with backgrounds in biotechnology, biopharmaceuticals, health, devices/diagnostics, energy, AI/ Machine Learning, and autonomous systems, which enables us to bring a wealth of deep sector and functional knowledge to our clients. As a team, we assess client gaps and link them to solutions from emergent and disruptive technologies; identify and source technology solutions; develop strategies and roadmaps around emerging technology; set the stage for development, adoption, and commercialization; and develop and deploy novel solutions for our clients. You will join one of the fastest growing practices at EY and you will be afforded a range of opportunities for your professional growth and development. This role will join a team responsible for providing technical consulting and developing analytical toolsets and software across a range of different types of engagements with a focus on the application of advanced optimization projects within the government and private sectors. We are seeking someone who is motivated by technically challenging projects that require rigorous analysis and solution development based on client objectives and requirements. The ideal candidate will be someone with technical experience who is excited to develop, implement, and scale cutting edge and robust OR solutions to a wide variety of applications.  Your key responsibilities: Work closely with other scientific and business subject matter experts on producing state-of-the-art solutions that will enable our clients to achieve their strategic goals. Develop bespoke optimization models as part of an analytical solution pipeline with client needs as the foundation, and leverage subject matter expertise to develop quantitative methodologies and tools to produce comprehensive solutions within the agreed quality, service commitment levels, schedules, and budgets. Be actively involved in the daily operational activities that generally impact important components/processes of the technology function. Gather and update necessary information and communicate to appropriate parties. Coordinate cross-functionally to accomplish assigned tasks. Mentor less experienced members of the team. What we look for: We’re interested in talented professionals with the ability to visualize our clients’ goals and think creatively to facilitate them by engineering market-leading solutions founded in advanced data analytics. If you have an entrepreneurial spirit and a genuine passion for taking on new challenges, this role is for you. A degree in operations research, industrial/systems engineering, statistics, mathematics, engineering, computer science, business analytics or related data science and related industry experience. A master’s degree and/or PhD strongly preferred. Experience with one or more of the following fields: Risk Management Supply Chain Analysis and Management Product Tear Down and Redesign Shipping and Logistics Transportation Systems Power Systems Optimization ESG Portfolio Analysis Experience with one or more of the following quantitative methods: Optimization Research with focuses on: Stochastic Programming Nonlinear Optimization Mixed Integer Programming Artificial Intelligence (AI) Machine Learning Data Analysis Data Mining Modeling & Simulation Statistics Stochastic Processes Quantitative Risk Assessment Experience delivering high-quality work products for clients Excellent analytical, communication, teamwork, and interpersonal skills A successful history of manipulating, processing, and extracting value from large, disconnected datasets Strong track record of applying technical skills in an industry setting Ability to communicate complex technical subjects and results in a clear and meaningful manner to nonexperts   Ideally, you’ll also have Prior experience with one or more: Optimization solvers (e.g., Gurobi, CPLEX, Octeract) Simulation software (Arena, Simio) Programming languages (e.g., Python, Go, C/C++, Bash, Qt/QML, R); Web technologies (e.g., JavaScript, TypeScript, Firebase, D3, HTML, CSS, React); Platform technologies (e.g., Linux, Docker, Kubernetes, OpenShift, Amazon AWS, Google Cloud Platform, Microsoft Azure); and Data tools (e.g., Tensorflow, scikit-learn, Numpy, pandas) Data management, data structures and analytic models
  • Irvine, California, The UCI Paul Merage School of Business is seeking candidates to fill one tenure-track Assistant Professor position in the Operations and Decision Technologies area to begin as early as July 1, 2023. QUALIFICATIONS: We are seeking individuals with a commitment to excellence in research and teaching in Operations and Decision Technologies (ODT) and in service to the University and profession. A Ph.D. in Operations Management, Operations Research, Management Science, Industrial Engineering, or other relevant discipline is required (Ph.D. must be completed by Summer 2023). While we invite applications in all operations areas, we are particularly interested in candidates with a research interest in sustainable operations broadly defined as “operational strategies and innovations to meet the needs of the present without compromising the environmental, economic and social benefits of future generations”. Example research areas include but are not restricted to quantitative modeling, empirical methods, and data-driven operations research applied to environmental management, climate change, circular economies, sustainable technologies, social responsibility, poverty alleviation, and equity and inclusion. Research methods can range across math programming, game theory, stochastic modeling, decision analysis, behavioral or field experiments, data analytics, machine learning, and related methods. New hires will be expected to teach across all programs (undergraduate, masters and doctoral), some of which may occur at night and/or on weekends, including summers. You may be asked to develop online or hybrid courses consistent with the School's objectives and teaching needs. ODT area faculty teach core classes covering topics in operations management, management science, and statistics, as well as electives that align with one’s research program. The UCI Paul Merage School of Business is especially interested in attracting applications from individuals who embody two core strategic interests. First, the goal of the Merage School is to be a world-class institution in the development of leaders who employ their understanding of business, entrepreneurship and technology to enhance the economic and social well-being of their communities. This goal is summarized in our tagline “Leadership for a Digitally Driven World”. Second, the Merage School is guided by UCI’s focus on inclusive excellence which emphasizes the removal of economic and social barriers to receiving a world-class education. Thus, our aim at the Merage School is to transform the business landscape by enhancing the representation of all communities in business and entrepreneurial activities. We are looking for candidates who share an interest in these two domains and are driven to conduct research, teaching and external engagement to ensure their execution. New hires will join a dynamic business school located in the heart of Orange County’s thriving business community. The Merage School faculty has been globally recognized for their research contributions and teaching innovations. The ODT faculty members use and develop advanced analytic methodologies to address decision situations across the functional areas of business. Application domains range across advertising and social media, healthcare, environmental sustainability and regulation, online platforms, developing economies, and global supply chain management. Merage School faculty are actively involved in diversity, equity and inclusion (DEI) efforts, supporting the new Black Management Association and the School’s Latinx Initiative. The Financial Times ranks the Merage School #1 in number of female faculty. Our programs also strive to fully represent our professional community, continually searching for applicants with different backgrounds to enrich the educational experience. The School also houses seven faculty-led Centers of Excellence which serve as a bridge between the Merage School and the local business community: the Beall Center for Innovation and Entrepreneurship, the Center for Digital Transformation, the Center for Global Leadership, the Center for Health Care Management and Policy, the Center for Investment and Wealth Management, the Center for Real Estate, and the UCI Long US-China Institute. For information about the University of California, Irvine and The Paul Merage School of Business, learn more at http://www.merage.uci.edu/. APPLICATION PROCEDURE: To apply, visit UC Irvine’s RECRUIT at  https://recruit.ap.uci.edu/JPF07705 Applicants must complete an online application profile and upload the following application materials electronically to be considered for the position: (1) Curriculum Vitae (2) Cover Letter (3) Statement of Research (4) Statement of Teaching (5) Statement of Service (optional) (6) Statement of DEI that addresses past and/or potential contributions to diversity, equity and inclusion through research, teaching, and/or service (7) Three Letters of Recommendation (8) Teaching Evaluations (9) Publications, working papers, and dissertation proposal (if others are co-authored) DEADLINE:  Applications will be accepted until the position is filled, although first consideration will be given to completed applications received by  Oct 1 2022. The search committee will interview a subset of applicants at the INFORMS Annual Meeting in Indianapolis on Oct 16-19, 2022.  https://meetings.informs.org/wordpress/indianapolis2022/ Applicants who are interested in an INFORMS interview are encouraged to apply by Oct 1 2022.  Invited campus visits will be held from December 2022 – February 2023. If you have any questions about the application process, please contact: Academic Personnel Analyst The Paul Merage School of Business University of California, Irvine Irvine, CA 92697-3125 FacultyRecruitment@merage.uci.edu The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. A recipient of an NSF ADVANCE award for gender equity, UCI is responsive to the needs of dual career couples, supports work-life balance through an array of family-friendly policies, and is dedicated to broadening participation in higher education. The University of California is committed to creating and maintaining a community dedicated to the advancement, application, and transmission of knowledge and creative endeavors through academic excellence, where all individuals who participate in University programs and activities can work and learn together in a safe and secure environment, free of violence, harassment, discrimination, exploitation, or intimidation. With this commitment as well as a commitment to addressing all forms of academic misconduct, UC Irvine conducts institutional reference checks for candidates finalists to whom the department or other hiring unit would like to extend a formal offer of appointment into Ladder Rank Professor or Professor of Teaching series, at all ranks (i.e., assistant, associate, and full). The institutional reference checks involve contacting the administration of the applicant’s previous institution(s) to ask whether there have been substantiated findings of misconduct that would violate the University’s Faculty Code of Conduct. To implement this process, UC Irvine requires all candidates of Ladder Rank Professor or Professor of Teaching series, at all ranks (i.e., assistant, associate, and full) to complete, sign, and upload the form entitled “Authorization to Release Information” into AP RECRUIT as part of their application. If the candidate does not include the signed authorization to release information with the application materials, the application will be considered incomplete. As with any incomplete application, the application will not receive further consideration. Although all applicants for faculty recruitments must complete the entire application, only finalists (i.e., those to whom the department or other hiring unit would like to extend a formal offer) considered for Ladder Rank Professor or Professor of Teaching series, at all ranks (i.e., assistant, associate, and full) positions will be subject to institutional reference checks.
  • 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. 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  

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