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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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  • 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
  • Seattle, Washington, Senior Manager, Financial Operations (Multiple Positions), PricewaterhouseCoopers Advisory Services LLC, Seattle, WA. Help clients transform their finance function by executing strategies to reduce functional and operational complexity through streamlined processes, optimize use of technology, and efficient use of resources to deliver cost effective, high quality services to all stakeholders. Address client challenges of achieving appropriate standards of control, efficient back office opportunities and support to the business. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Manage engagement teams, provide coaching and feedback in a timely manner. Identifying and addressing client needs.   40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.      MINIMUM REQUIREMENTS : Must have a Bachelor's degree or foreign equivalent in Accounting, Business Administration, Business Management, or a related field, plus 6 years of related work experience, of which at least 5 years must be post-bachelor's, progressive related work experience.   In the alternative, the employer will accept a Master's degree or foreign equivalent in Accounting, Business Administration, Business Management, or a related field, plus 4 years of related work experience.   Must have at least one year of experience with each of the following: -       Advising global organizations on improving efficiency and effectiveness in transaction processing, close & consolidation, budgeting & forecasting, and internal & external reporting; -       Performing process improvements by applying industry knowledge, and applications of at least one of the following focus areas: shared service and outsourcing, finance transformation, performance management, financial systems optimization, and/or talent management; -       Using business intelligence and performance management software tools; and -       Managing resource requirements, project workflows, budgets, billing and collections.   80% telecommuting permitted. Must be able to commute to the designated local office. Travel up to 80% is required.   Please apply by mail, referencing Job Code WA3345, Attn: HR SSC/Talent Management, 4040 West Boy Scout Boulevard, Tampa, FL 33607. 
  • 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.

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