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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

  • Tampa, Florida, The Department of Industrial and Management Systems Engineering (IMSE) at the University of South Florida (USF) invites applications for tenure-track/tenured faculty position(s) at Assistant/Associate Professor levels starting in August 2022. Research and educational interests of the applicants should intersect with the departmental core methodological research thrusts in data analytics and optimization with applications in smart city/urban infrastructure (including cybersecurity, healthcare systems, energy, water, transportation, and public health), and advanced manufacturing including bio-manufacturing . Minimum qualifications include: 1) a doctoral degree in industrial engineering or a related field from an accredited institution, 2) a strong record of publications in top tier peer reviewed journals and, if seeking an associate rank, a high citation h-index, 3) significant potential (or demonstrated experience) for conducting research, as principal investigator, funded by grants and contracts from peer reviewed federal agencies and competitive state and private sources, 4) potential/demonstrated ability to form multi-level, interdisciplinary research collaborations, 5) for the associate level, a strong record of successfully funding, mentoring, and graduating doctoral students, and 6) demonstrated experience/potential for developing and teaching undergraduate and graduate level courses, particularly Ph.D. level courses, for the associate level. Preferred qualifications include expertise in one or more areas including data mining and machine learning, computing architecture, decision making through stochastic optimization, and advanced manufacturing. Successful candidates will be expected to have a strong credential/potential for externally and competitively funded interdisciplinary research program and commitment to undergraduate and graduate education. Candidates are expected to have demonstrated leadership and communication skills, be able to work effectively in teams, integrate research, education and service activities, and be actively engaged in leadership in professional societies. Candidates must be committed to diversity among students, faculty and staff. An application package should include a cover letter indicating your interest in a specific rank , complete curriculum vitae with list of publications and research grants and contracts, names and detailed contact information for four references, a 1-page statement of the applicant’s research vision and a 1-page teaching statement. The cover letter should be addressed to Dr. Susana Lai-Yuen , Faculty Interview Panel Chair, Industrial and Management Systems Engineering, University of South Florida, 4202 E. Fowler Ave, ENB 118, Tampa, Florida, 33620. Applicants must electronically submit the application packet as one PDF file to the following website: https://www.usf.edu/work-at-usf/careers/index.aspx ( Note: Job Opening ID#27472 for Assistant Professor and ID#27473 for Associate Professor)). Review of applicants will begin on September 1, 2021, and will continue until the position(s) are filled. Women and minorities are strongly encouraged to apply. To request disability accommodations in the application and interview process, please notify Khoa Dinh, EOL Coordinator at (813) 974-9272.  
  • Nationwide, POSITION SUMMARY  The Research Associate (Simulation) applies the science of distribution to Fortna’s products and services by building simulation and mathematical models to support distribution center design, by developing novel algorithms for Fortna’s Warehouse Execution System (FortnaWES™), and by processing data to support solution design projects. The overarching goal is to build Fortna’s intellectual property (IP) as embodied in the FortnaDCdesign Suite™ and FortnaWES™. PRIMARY RESPONSIBILITIES: Develop simulation and mathematical models of distribution operations in order to answer design questions for projects and to give insight to other Fortna Associates. Develop models and algorithms for FortnaWES™ in consultation with the leadership of Solutions R&D and Product (Software) R&D. Serve as a Data Team member by running FortnaDCmodeler® on Operations Design projects and supporting teams with needed data analysis and modeling. Collaborate with other Associates to create thought leadership around Fortna IP to further Fortna’s brand in the marketplace. Assist with efforts to train Associates on the application of Fortna IP. REQUIRED QUALIFICATIONS: Research-based master’s degree in Industrial and Systems Engineering, Systems Engineering, or a related technical field Experience developing discrete-event simulation models of manufacturing or distribution operations using a commercial discrete-event simulation package. Experience with FlexSim is preferred, though not required. Experience using analytical models to represent production or logistics systems Strong interpersonal, organizational and time management skills and the desire to work in a team environment Excellent written and oral communication skills Excellent collaboration skills Excellent structured problem-solving skills Excellent project management skills Ability to travel domestically Ability to perform essential functions of the job   DESIRED QUALIFICATIONS: PhD in Industrial and Systems Engineering or Systems Engineering Experience developing mathematical models (optimization, stochastic, computational) for distribution center design and operations Excellent technical communication skills as evidenced by journal articles, white papers, conference papers/presentations, corporate presentations, etc. Experience with data analysis through SQL-based packages Experience with software tool development, especially Python. Experience educating and training others   WORKING CONDITIONS: When duties are performed in a typical office environment, extended periods of sitting at a desk and viewing a computer screen will be required. Also required is the ability to talk and hear, in person and by telephone; use of hands to handle, feel, or operate standard office equipment; and ability to reach with hands and arms. Associates are frequently required to walk and stand. The noise level in this work environment is usually quiet. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. When travelling to Client sites, essential requirements of this position may require physical presence in various environments and locations. Physical stamina may be required for prolonged standing, bending, stooping, and/or working in cramped quarters. Exposure to potentially dangerous tools and equipment amidst a variety of building materials is probable, as is occasional exposure to moving mechanical parts. The noise level in the work environment can vary from being relatively quiet, to moderate, to excessive. Safety shoes or boots may be required in certain situations. Additional safety clothing including gloves, hardhats, and devices to protect eyes, mouth, or hearing, will be worn as necessary. This position description should not be considered all-inclusive.
  • Lake Buena Vista, Florida, Job Description We seek candidates for roles at multiple levels within the Decision Science team. The specific job level for an individual candidate will be determined based on their education, prior experience, and demonstrated technical and leadership proficiencies. The Decision Science team focuses on creating innovative mathematical models to inform business decision making through data. The team is interested in all fields related to data science, with emphasis on statistics, operations research, econometrics, and machine learning. The Decision Science team resides within the Disney Decision Science + Integration (DDSI) organization. DDSI provides internal consulting services for clients across The Walt Disney Company, including Disney Parks, Experiences and Products (covering Parks & Resorts, Signature Experiences, and Consumer Products, Games and Publishing) and Disney Media & Entertainment Distribution (covering content from Studios, General Entertainment and Sports). The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions, and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation and integration with business processes, and ongoing business support.   Responsibilities Achieve business goals and objectives—Research and develop decision science models and act as a consultant to all business units within The Walt Disney Company Pursue innovation—Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users Put your skills to the test—Perform data collection and data mining, and build state-of-the-art decision science algorithms, tools, and systems Drive value—Model and analyze revenue management and pricing related issues using various mathematical, statistical, and simulation techniques Tell the story—Present science results to business partners and clients Support a global and enterprise-wide mission—Identify and apply best practices in the field of advanced analytics for multiple businesses such as theme parks and resorts (e.g. Walt Disney World), Disney Cruise Line, media (e.g. ABC, ESPN), movies (e.g. Walt Disney Animation Studios), live shows (e.g. Disney on Broadway), and retail (e.g. shopDisney) Basic Qualifications Must exhibit competence in at least one of the following four analytical fields, inclusive of topics as noted: Statistics (two or more topics): Bayesian statistics Generalized linear models Mixture models Nonparametric regression Structural equation models Time series (state space models, ARIMA, etc.) Optimization (at least one topic): Decision analysis or multiple criteria decision making Mixed-integer optimization Nonlinear optimization Stochastic optimization Discrete-event simulation and stochastic models Econometrics (two or more topics): Generalized method of moments Instrumental variables Limited dependent variables Panel data Simultaneous equations models Machine learning (two or more topics): Boosting CART Clustering Graphical models Neural networks Random forests Reinforcement learning Support vector machines Must exhibit competence in at least one computing topic: General computing (Python, Java, C, C++, etc.) Statistical computing (R, SAS, etc.) Scientific computing (Julia, MATLAB, etc.) Roles beyond the entry level require the ability to work with little guidance on science methodologies and modeling approaches, based on sound business acumen, and to provide peer leadership to junior colleagues Higher roles require the ability to work concurrently across lines of business or functional areas, to direct the design and development of advanced analytical models, or to provide project leadership to ensure successful implementation of solutions across all project phases Preferred Qualifications Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing Required Education Master’s or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field
  • Bogota, Colombia, Full-time Faculty Positions in Industrial Engineering, Electrical Engineering and Applied Mathematics and Computer Science The School of Engineering, Science and Technology at Universidad del Rosario in Bogotá – Colombia – is opening multiple Assistant Professor positions in Industrial Engineering and Electrical Engineering. One position is also open to hire a professor to coordinate our undergraduate program in Applied Mathematics and Computer Science. Successful candidates should hold a Ph.D. degree in Engineering, Applied Mathematics, Computer Science, or related fields, have teaching experience, and conduct research in one or more of the following fields or related areas: -Logistics -Digital transformation -Decision Sciences and finance -Organizational transformation -Industry 4.0 -Service industry - Telecommunications - Embedded and Cyber-physical systems - Communication networks - Internet of Things -Cyber Security -Computer Graphics  -Information Security -Cyber Security - Systems - Software (enterprise, web, mobile) development - Data Science - Artificial Intelligence - Machine Learning - Data Analytics Other related areas will be considered. We are looking for candidates with a strong international background and experience in research as well as teaching at the undergraduate and graduate levels. Successful candidates will be expected to take part in academic and administrative tasks pertaining to the construction and development of new undergraduate and graduate programs. We look for highly motivated candidates with a will to generate impact through teaching, research and projects in collaboration with external partners. Certified fluency in English and Spanish is required, equivalent to the B2 level in the European Common Framework. Universidad del Rosario ( www.urosario.edu.co ), founded in 1653, is ranked Top 40 by the QS LATAM ranking and with more than 13.000 students, is one of the oldest and most recognized private academic institutions in Colombia. Universidad del Rosario is committed to provide a solid scientific, humanistic, and ethical education to its students by relying on outstanding academic staff and teaching excellence.  Application documents should be written in English and include: Cover letter (1 page) Curriculum Vitae (max 5 pages) Research statement (1 page) Teaching statement (1 page) Three references with contact information Documents can be sent in electronic form (as pdf files) to ict@urosario.edu.co . Expected starting dates are January 2022 and July 2022 , depending on the applicant’s availability. Applications are due by Nov 15 th , 2021.
  • Columbus, Ohio, Tenure-track Faculty Position in Department of Integrated Systems Engineering (ISE) The Department of Integrated Systems Engineering ( https://ise.osu.edu/ ) at The Ohio State University invites applications for a tenure-track faculty appointment in the area of operations research.   University Overview: The Ohio State University prides itself on being model 21st-century public, land grant, research, urban, community engaged institution. Ohio State is a top-20 public university, enrolling over 60,000 students, and its Ohio State Wexner Medical Center is one of America’s leading academic health centers and recently ranked No. 4 on Forbes’ list of best U.S. employers for diversity. The Ohio State University is in Columbus, Ohio. As the nation’s 14th largest city, Columbus invites and embraces cultural and economic diversity. Read more at ( Experience Columbus ).     Columbus Overview: As the nation’s 14th largest city, Columbus invites and embraces cultural and economic diversity. We are home to Fortune 500 companies, world-class research institutes, top-ranked hospitals, and the state’s capitol. The city was named the 2015 "Intelligent Community of the Year" by the Intelligent Community Forum, called a "Midwestern style capital" by the New York Times and one of the top ten "Best Places to Live" by Money Magazine. Columbus is home to multiple dynamic arts districts. Read more at ( Experience Columbus ).   Department Overview: Department of Integrated Systems Engineering at The Ohio State University takes an integrated and interdisciplinary approach to the modeling and analysis of industrial, business, and governmental systems. The core research areas are Operations Research, Human Systems Integration, and Manufacturing Process Engineering. The department is ranked 14th among all industrial engineering departments nationally (US News and World Report 2020). We have distinguished faculty, including a National Academy of Engineering member, and fellows of professional societies including INFORMS, IISE, IEEE, ASQ, and HFES.   The operations research group has methodological expertise in a variety of areas, including mathematical optimization, stochastic processes, simulation, statistics, economic analysis, and machine learning.  Applications include cybersecurity, energy systems, production and scheduling, sustainability, transportation systems, and water resource management. Our contributions to operations research are concerned with understanding real world systems, their operations and long-term planning, and methodological and algorithmic advances to develop optimal decision-making processes. Our work is grounded in real applications and serves the needs of industry and society. We translate our goals into educational experiences that engage students in state-of-the-art experimental and computational techniques, delivering the preparation and skills to be leaders in the industry and academia.   Our goal is to be a top-10 industrial engineering department, which leverages its comprehensive expertise to: enable and amplify the academic, technological, and societal impact of our research and development; produce graduates who are strong ambassadors for the department by demonstrating the technical fluency necessary to excel in professional environments and engage in lifelong learning; increase diversity in the graduate student body, in part through cooperative recruitment, support, and retention activities with The Ohio State University (WSE, AGEP) and national resources (such as NSF AGEP supplements); and foster a collaborative, diverse, and inclusive learning environment that supports the creation and dissemination of knowledge to the broader global community.     Position Overview: Department of Integrated Systems Engineering at The Ohio State University invites applications for a regular tenure-track faculty appointment in the area of operations research. While a more senior position is possible, the anticipated rank is assistant professor.   The successful applicant will be expected to deepen and complement existing ISE departmental strengths, to develop and maintain an active research program, to develop and deliver compelling undergraduate and graduate courses, to support and enhance the reputation of the department, and be an active participant in the industrial engineering community. Research leadership is expected, including the ability to attract federal funding and industrial partnerships to sustain a vibrant research program.   Candidates with technical skills in simulation and stochastics are of particular interest, but all technical specializations will be considered. Application areas of interest include but are not limited to data analytics, energy systems, health care, the sharing economy, supply-chain management, production systems, and the study of issues pertaining to race, inclusion, and social equity in these application areas.    Required Qualifications Applicants are required to hold a Doctoral degree in operations research, or a closely related field.   Desired Qualifications Commitment to promoting diversity and inclusion in all areas of scholarship, instruction, and outreach. Experience with working cooperatively and collegially to advance research and teaching programs with efficiency and impact.   How to Apply   Interested applicants should apply at Academic Jobs Online: ( https:/ https://academicjobsonline.org/ajo/jobs/19505)   Please include a cover letter, curriculum vita, diversity statement (describe experiences, current interests and activities, and future goals that promote a climate that values diversity and inclusion in one or more of the areas of scholarship, instruction, and outreach), statements of teaching and research interests, and names and contact information of five references commensurate with the rank sought.   The Ohio State University is committed to establishing a culturally and intellectually diverse environment, encouraging all members of our learning community to reach their full potential. We are responsive to dual-career families and strongly promote work-life balance to support our community members through a suite of institutionalized policies. We are an NSF ADVANCE Institution, a member of the Ohio/Western Pennsylvania/West Virginia Higher Education Recruitment Consortium (HERC) and have an excellent partner in The Ohio State University Wexner Medical Center.   The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, disability, ethnicity, gender identity or expression, genetic information, HIV/AIDS status, military status, national origin, race, religion, sex, gender, sexual orientation, pregnancy, protected veteran status, or any other bases under the law.   Review of applications will begin on October 15, 2021 and will continue until the position is filled.

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