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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

  • Hong Kong, China, City University of Hong Kong (CityU) is one of the world’s leading universities, known for innovation, creativity and research.  We are now seeking exceptional scholars to join us as Assistant Professors/Associate Professors/Professors/Chair Professors (on substantiation-track) in all academic fields with special focuses on One Health, Digital Society, Smart City, Matter, Brain, and related interdisciplinary areas.  Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and innovation management fintech and business analytics computational social sciences digital humanities digital and new media law and technology private law healthy, smart and sustainable cities Successful candidates should have a demonstrated ability to build a world-class research programme related to CityU’s strategic research areas, plus a commitment to education and student mentorship.  Candidates must possess a doctorate in their respective field by the time of appointment. Applications and nominations are invited for: Chair Professor/Professor/Associate Professor/Assistant Professor in the Department of Advanced Design and Systems Engineering [Ref. A/508/09] The Department of Advanced Design and Systems Engineering (ADSE) aspires to be a centre of excellence in research and education in intelligent manufacturing and systems engineering.  According to a recent study by Stanford University, six of our faculty members were among the top 2% of most highly-cited scientists of the world, reflecting the high academic standard of our faculty and our excellent research performance. ADSE is looking for talents in all areas related to smart manufacturing and systems engineering, including semiconductor manufacturing, digital manufacturing, 3D/4D additive manufacturing, industrial internet of things, cyber-physical systems, automation/robotics, operations research, stochastic optimization, reliability and quality, and related disciplines.  We are particularly interested in individuals who develop new and creative approaches based on operations research, artificial intelligence, machine/deep learning or similar methodologies, to improve the design and performance of future manufacturing systems. Duties:  Teach undergraduate and postgraduate courses, supervise students and undertake scholarly activities (including course development/revamping).  The appointees will also be assigned to take up administrative duties to facilitate the development of the Department, the College and the University. Requirements:  A PhD in smart manufacturing, systems engineering or related areas with an excellent research record and strong teaching ability.  Good academic credentials and excellent communication skills are required. Salary and Conditions of Service  Remuneration package will be driven by market competitiveness and individual performance.  Excellent fringe benefits include gratuity, leave, medical and dental schemes, and relocation assistance (where applicable).  Initial appointment will be made on a fixed-term contract. Information and Application Further information on the posts and the University is available at http://www.cityu.edu.hk, or from the Department of Advanced Design and Systems Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong (email : sesearch@cityu.edu.hk). To apply, please submit your curriculum vitae through the website: https://www.cityu.edu.hk/provost/global-recruiting/.  Nominations can be sent directly to the Department (email: sesearch@cityu.edu.hk).  Applications and nominations will be considered until the positions are filled.  Only shortlisted applicants will be contacted; and those shortlisted for the post of Assistant Professor will be requested to arrange for at least 3 reference reports sent directly by the referees to the Department, specifying the position applied for.  The University's privacy policy is available on the homepage. City University of Hong Kong is an equal opportunity employer.  We are committed to the principle of diversity. Personal data provided by applicants will be used for recruitment and other employment-related purposes. Worldwide recognition ranking #48, and #4 among top 50 universities under age 50 (QS survey 2021); #1 in the World’s Most International Universities (THE survey 2020); #1 in Engineering/Technology/Computer Sciences in Hong Kong (ARWU survey 2016); and #1 Business School in Asia-Pacific region (UT Dallas survey 2019).
  • NEWPORT, Oregon, SUMMARY STATEMENT This position is tasked with managing the overall accounting and treasury activities of the organization and reports directly to the Director of Shared Services.  The Controller administers accounting policies and directives and may assist in development of organizational policies, procedures, forecasting and strategic planning.  The Controller also manages the daily cash position of the organization and leads external financing activities. ESSENTIAL FUNCTIONS :  Duties may include, but are not limited to: Assists the Director of Shared Services. Develops and implements District's policies as applicable to financial accounting, investing and other areas as needed. Initiates, plans and assists in implementing new financial programs and their ongoing support. Responsible for analyzing and preparing journal entries; backups financial statements and budget report preparation. Manages daily and long term cash positions and investing excess funds to maximize interest income. Develops, analyzes and monitors financial data and budgets to ensure compliance with District policies, approved financial plan and bond covenants. Performs benchmarking of financial data against other utilities and industry standards and reports and recommends any corrective action. Act as primary liaison with external auditors in regards to financial audit. Work with financial advisors, bond council and other principals on matters related to selling bonds. Manages all compliance aspects of outstanding bond issues and relating agreements including covenants, reserve requirements, arbitrage testing and annual continuing disclosure requirements. Assists in providing direct support of department’s PC software and hardware, and works with Districts information technology group on network software and hardware solutions.  Prepares and assists with reports to various state and federal agencies on financial and energy data. Complete special projects and other duties as assigned to meet team, department and Central Lincoln goals while actively demonstrating accountability and responsibility for achieving desired outcomes and measurable results. KNOWLEDGE, SKILLS AND ABILITIES Utility financial systems, cost of service analysis and rate design concepts. All functions and responsibilities of a typical utility accounting and finance department. Regulations and practices of GAAP, FASB, GASB & FERC to insure proper accounting and audit compliance. Budget, cost control, financial and economic concepts. Personal computer applications and related software.  Researching alternative courses of action beyond prescribed guidelines in policies and procedures. Strong technical, trouble-shooting, problem solving, research, organizational and analytical skills, combined with the ability to prioritize tasks and meet established deadlines. Ability to multitask is also essential while remaining flexible with changing priorities and deadlines. Communicating complex information in a straightforward manner. Highly ethical individual who applies ethical standards of behavior to daily work activities. Takes responsibility for actions and decisions and fosters a work environment where integrity is rewarded. Exercises discretion when involved in highly confidential and sensitive matters. Developing, implementing, and applying policies and procedures. Work with associates and adequately represent Central Lincoln to the public.  Effectively meet people and possess good oral and written communication skills.  Interpret charts, rates, rules, regulations, and legal documents.  Determine correct or efficient courses of action.  Foresee trouble spots in a proposal, project or program.  Organize people, tasks and events in a logical manner so that efficiency is maximized. Demonstrate cultural competency through respectful, inclusive work habits and through the valuing and welcoming of cultural differences in all position responsibilities. MENTAL AND PHYSICAL DEMANDS Receive, understand, evaluate and appropriately respond to communications and work-related forms, documents and other information from employees, the Board of Directors, customers and members of the public using available technology, in person and in a public setting when necessary. Correspond, communicate and exchange information with other employees, customers, agencies, and other third parties with whom we work in-person, via telephone, virtually or by other electronic means using available technology during meetings, presentations, customer calls or other situations in which business information may be shared, discussed, or exchanged. Provide intellectually sound and well-reasoned answers, recommendations and solutions to identified business problems, issues and/or questions.  Efficiently and quickly analyze, process, manipulate, and accurately record extensive amounts of data (some of which is technical or complex in nature) and other information that serves as the basis for this position. Work for extended periods of time in a stationary position (possibly up to 60 minutes or more without an opportunity to substantially change position) while consistently grasping, moving and manipulating documents, office supplies, computer equipment, and other business tools and materials. Use and operate a personal computer, office equipment and other technology devices frequently and consistently throughout each day with a high degree of skill, accuracy and independent judgment for the purpose of reviewing, analyzing, creating, transmitting, and presenting documents, data and other business-related information. DRIVING AND TRAVEL Travel occasionally via traditional modes of transportation (including airline travel) over long distances, some of which may involve one or more night stays out of town, both within and outside the state of Oregon. ENVIRONMENTAL CONDITIONS The work in this position is primarily conducted in a temperature controlled office environment.  Our office spaces include traditional office lighting (including fluorescent lighting), as well as shared office spaces and facilities that result in consistent and frequent noise (often louder than ambient noise), conversations among employees and clients, interruptions and other similar distractions. MINIMUM QUALIFICATIONS & PROGRESSION Requires a Bachelor’s Degree in Accounting, Business Management, Finance, or related field, and five (5) years’ progressively responsible experience in all facets of accounting, computerized accounting systems and balancing general ledger accounts and subsidiary ledgers.  An equivalent combination of experience and education that demonstrates the required knowledge, skills and abilities required for the position will be considered in lieu of the outlined requirements. Requires thorough knowledge of auditing theory and practices and internal control procedures.  Experience with NISC software preferable. Valid driver’s license: No Post-offer background check required: Yes Post-offer drug test required: No Apprenticeship or other education/training required as a condition of employment, or progression or advancement: No FLSA Status: Exempt SUPERVISORY RELATIONSHIP Reports to the Director of Shared Services.  No supervisory responsibility.
  • New York, New York, The Department of Industrial Engineering and Operations Research at Columbia Engineering invites applications for a Lecturer in Discipline position in the fields of Business Analytics, FinTech, Machine Learning, Artificial Intelligence and Big Data in finance. We are especially interested in applicants who are interested in both fundamental problems in the aforementioned fields and applied topics including but not limited to market design, mechanism design, intelligent wealth management, risk management, blockchains, cryptocurrencies, peer-to-peer lending, and digital payment systems. The candidate is also expected to teach two courses a year, and assist in supervising Master students and PhD researchers. The position is part of a broader initiative at the Columbia Engineering and Applied Science to leverage academic research in emerging technologies for business and financial applications. The candidates must hold a PhD degree in computer science, data science, scientific computing, applied mathematics, statistics, economics, financial econometrics or related areas. Successful candidates will have expertise in at least one of the following areas: game theory and mechanism design; machine learning; neural networks; financial engineering/mathematical finance; econometrics; or financial risk models. Candidates must have both a strong mathematical background and excellent programming skills (Python/R/C++/Java/Scala). Experience in the financial industry will be an advantage. Columbia fosters multidisciplinary research and encourages collaborations with academic departments and units across the university. The Department is especially interested in qualified candidates who can contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community. For additional information and to apply, please see:  http://engineering.columbia.edu/faculty-job-opportunities or apply.interfolio.com/93852 .  Applications should be submitted electronically and include the following: curriculum-vitae including a statement of teaching interests and plans, and contact information for three experts who can provide letters of recommendation. At least one of the letters of recommendation must address teaching ability. Candidates will be considered on a rolling basis. Candidates that are invited to interview will be required to give a 50-minute technical presentation. Applicants can consult ieor.columbia.edu for more information about the department.  Columbia University is an Equal Opportunity/Affirmative Action employer -- Disability/Veteran
  • Santa Rosa, California, For full details on the position and directions on how to apply, please visit: https://sonomacleanpower.org/job-opportunities Persons working in this job class will receive direct supervision from the Managing Director of Power Procurement and work across the organization with Sonoma Clean Power (SCP) staff in some or all functions related to power supply planning, compliance, data requests, and asset modeling. This individual will collect, assemble, analyze, and interpret data from manual and automated information systems and related programs.  This position will be responsible for reporting out on market fundamentals.  The individual performing this position will be tasked with modeling variable renewable resources and determining bidding and dispatching behaviors based on market analytics.  The position will effectively be responsible for asset management and managing Day Ahead Real Time spread (DART). SCP’s variable resource portfolio consists of solar, battery storage and wind. This position will be required to work independently and prepare data and reports for management. Qualified candidates must be well organized, work collaboratively and communicate effectively as a member of a team in a fast-paced environment, think critically, possess a keen attention to detail, and have strong written and oral communication skills.  REPORTING AND SUPERVISION Persons working in this job class will receive direct supervision from the Managing Director of Power Services.  ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES This job description indicates, in general terms, the type and level of work performed as well as the responsibilities of employees hired for this position. Responsibilities may include: Conduct analytical and modeling support for the Procurement department. Monetize and actively manage SCP’s variable resources based on modeling techniques determined by constantly changing market conditions. Ability to develop (either in-house or utilize various vendor software applications) modeling software to manage DART Provide tracking and asset optimization analysis for management. Provide pricing and asset valuation forecasting on an as-needed basis for potential future projects. Provide information regarding market fundamentals including but not limited to system constraints, asset performance, weather conditions impacting the system and other related matters that may impact pricing. Creating data visualizations in PowerBI Coding, debugging, and quality assurance (QA) of SQL, Python, and R scripts Utilize stochastic modelling tools for resource planning Other duties, as assigned. REQUIRED EDUCATION, SKILLS AND EXPERIENCE Education: Bachelor’s degree in Mathematics, Business, Economics, Statistics, Engineering, Computer Science or other related quantitative field, AND 0-5 years’ experience, AND, The ability to work with complex models, data and reports. Proficiency in using MS Office suite products, specifically Excel, Outlook, and Adobe Acrobat. VBA, SQL and data analytics tools a plus. Knowledge and experience with Python, and R Familiarity with data visualization platforms such as PowerBI (or similar) Familiarity with Big Data and statistical analysis Knowledge and experience with machine learning/ artificial intelligence (AI) is a plus Understanding of California’s Community Choice Aggregation (CCA) model. Knowledge of the goals, policies, purposes, and history of SCP. Excellent verbal and written communications skills.   WORKING CONDITIONS The physical and mental demands described here are representative of those that must be met by employees to successfully perform the essential functions of this class. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. Environment: Normal office environment with exposure to computer screens. Employees will interact with staff and/or public and private representatives during the course of work in individual and in group settings. Physical: While performing the duties of this class, employees are regularly required to sit, walk, and stand; talk or hear, in person and by telephone; reach with hands and arms. Employees are occasionally required to walk and stand for prolonged periods; stoop, bend, kneel, and twist; and may lift up to 20 pounds. Employees must be able to communicate in person, in writing, and by telephone. Mental: While performing the duties of this class, the employee is regularly required to use written and oral communication skills; read and interpret data, information and documents; analyze and solve problems; observe and interpret situations; learn and apply new information or skills; perform highly detailed work; work on multiple concurrent tasks; work with frequent interruptions; work under intensive deadlines; interact with SCP management, Board, staff, vendors, the public, and others encountered during the course of work. Vision: See in the normal visual range with or without correction; vision sufficient to read computer screens and printed documents; and operate assigned equipment. Hearing: Hear in the normal audio range with or without correction. To apply, please email a cover letter, resume, and references as a single PDF to: jobs@sonomacleanpower.org . This position will remain open until filled. SCP actively works to provide an inclusive work environment, where people of different ethnicities, national origins, native languages , races, skin colors, sexes, genders, sexual orientations, ages, physical abilities, genetics, politics, religion, financial wealth, and education feel welcome, safe, and invited to fully participate at every level. SCP further seeks to contribute to a more inclusive and equitable society through our actions, our communication, our policies, and our investments. SCP expects all of its employees to contribute to these goals. THE SONOMA CLEAN POWER AUTHORITY IS AN EQUAL EMPLOYMENT OPPORTUNITY (EEO) AND AMERICAN DISABILITIES ACT (ADA) EMPLOYER                                                                                                         
  • Daejeon, South Korea, The Department of Industrial & Systems Engineering at KAIST invites applications for tenure-track faculty positions at the levels of Associate/Assistant Professor . KAIST is a globally renowned science and technology institution, particularly well known for its excellence in engineering and technology. The institute is dedicated to promoting a vibrant academic culture and offers an internationally-minded environment through ways such as teaching all courses in English.  We seek candidates who are genuinely interested in solving complex system design and operations problems in manufacturing and service industries. In this term of invitation, we would like to invite all areas of expertise related to industrial & systems engineering discipline, including (but not limited to) the followings: Optimization : LP/IP, combinatorial, stochastic programming, convex opt., non-linear opt. as well as optimization for machine learning and machine learning for optimization. Statistical methods : Statistics, data mining/statistical ML, applied statistics such as quality engineering, experimental design, reliability. Manufacturing system engineering : smart factory, manufacturing system innovation for 2050. Knowledge-based service engineering (KSE): ML/AI for various KSE domains (financial service, health service, legal service, education service, social welfare and so on). KSE domain researchers (those who have earned doctoral degrees in medicine, healthcare, economics, finance, law, education, social welfare, etc.) with experience and strong willingness in applying ML/AI to the domain are also welcome to apply. System engineering : Modeling and simulation (incl. discrete event simulation, simulation optimization), domain specific system engineering (energy system, healthcare delivery system, traffic system, other public infra-structures). Human factors : HCI, AR/VR, Data visualization, ergonomics. Emerging fields relevant to industrial & systems engineering. Industrial or academic experience will be considered preferably, and students who are expected to complete their PhDs until Feb. 2022 will also be considered. Application documents along with an up-to-date CV should be sent to: Professor Hayong Shin    Department of Industrial & Systems Engineering, KAIST    Email: hyshin@kaist.ac.kr Applications are considered on a rolling basis (reviewed each month) until the positions are filled. We strongly recommend applying at your earliest convenience. For general information about the Department of Industrial & Systems Engineering at KAIST, please visit http://ie.kaist.ac.kr  and also http://kse.kaist.ac.kr. You can also find out more about KAIST at  http://kaist.ac.kr. If you have further inquiries regarding this faculty position announcement such as targeting areas, you may contact Prof. Hayong Shin at hyshin@kaist.ac.kr.

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