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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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  • Chicago, Illinois, Manager, Workday Consulting (Multiple Positions), PricewaterhouseCoopers Advisory Services LLC, Chicago, IL. Help clients leverage Workday technology as a tool to enhance and unify Human Resources, talent management, and finance. Help shape their business and developing industry tailored solutions that support our clients through the entire lifecycle of the Workday implementation. Helps clients reinvent their financial management capabilities and drive change across their businesses. Solve complex business issues from strategy to execution. Establish and maintain client relationships and professional networks. Identify new service opportunities. Coach staff and provide feedback in a timely manner.   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, Finance, or a related field, plus 5 years of post-bachelor's, progressive related work experience. In the alternative, employer will accept a Master’s degree or foreign equivalent in Accounting, Business Administration, Finance, or a related field, plus 3 years of related work experience.   Must have at least one year of experience with each of the following:   - ERP/EPM systems, including SAP, PeopleSoft, Oracle, JDE, Workday, NetSuite; - Implementing Workday financials integrations, including designing, building, and testing; and, - Utilization of PC applications (i.e. Microsoft Word, Excel, PowerPoint and Project) and cloud-based financial system implementations (i.e. Workdays, NetSuite, Fusion, Intacct).   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 IL3285, Attn: HR SSC/Talent Management, 4040 West Boy Scout Boulevard, Tampa, FL 33607.
  • Kowloon, 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 #53 (QS 2022), and #4 among top 50 universities under age 50 (QS 2021); #1 in the World’s Most International Universities (THE 2020); #1 in Automation & Control/Electrical & Electronic Engineering/Materials Science & Engineering/Metallurgical Engineering/Nanoscience & Nanotechnology/Telecommunication Engineering in Hong Kong (GRAS 2021); and #41 Business School in the World and #4 in Asia (UT Dallas 2017 to 2021)
  • Durham, North Carolina, About Syngenta Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.   About Us Through leading innovations, we help farmers around the world meet the challenge of feeding a growing population and taking care of our planet. We are currently seeking the Head of Decision Science for the Seeds Development, Analytics, and Data Science team in Durham, North Carolina. The Head of Decision Science will help shape the future of agriculture by: Building and managing industry-leading Analytics and Data Science capabilities for Seeds R&D.  In this role, you will enable data-driven decision making and prescriptive design of seeds products through the enhanced design and analysis of field and controlled environment trials.  You will champion enhanced digital fluency and excellence in Analytics across the R&D organization and across the Seeds business unit through leading and championing the development of infrastructure and analytics environments that facilitate the delivery of value from the Data Science and Analytics platforms. Accountabilities Responsible for leading and expanding a novel analytics and data science team with a global footprint through a combination of internal FTE and strategic external partnerships. Partner with Head of Seeds Development and your leadership team peers to drive vision, strategy, priorities, and actions for Syngenta Seeds Development to achieve and maintain leadership in data-driven decisions enabling development and commercial launch success of superior seeds products. Lead an Agile cross functional team working directly with engineers and developers to support the development of industry-leading data science and analytics platforms to support our Seeds product pipeline. Recognized externally as an inspiring leader and specialist within own area of specialization. Maximize value of field and controlled environment trials for the product delivery pipeline by leading the development and utilization of advanced experimental design and data analysis methodologies. Define and implement strategies for leading the development of Data Science and analytical models and supervising their performance over time. Drive and champion standardization and global best practices for experimental design and statistical analysis methodologies and protocols. Develop and sustain a highly engaged team of statistics and biometrics experts and foster the growth of scientific and leadership talent. Enable data-driven decision making in crop teams by providing fit-for-purpose statistics support. Build effective partnerships with IT, analytics, and data science leaders, crop subject matter experts, and external experts to deliver robust data standards and computational tools for optimizing the use of experimental data. Drive key advanced analytics project delivery decisions, such as whether to “buy versus build”. Leads, mentors, evaluates, and develops the team within Data Science & Analytics to ensure that the area achieves its objectives and follows all relevant regulations and laws. Promote a safe work environment and a strong safety culture. Represent Syngenta in relevant external events to support the awareness of Syngenta as a digital leader. Responsible for monitoring progress against milestones and resource use and driving metric-based project decision processes across our Seeds portfolio. Develop and deliver regular updates to internal SYT stakeholders and governance bodies regarding status and progress of our Analytics and Data Science platforms. Ensures identification, assessment, and management of key risks in our product development projects and programs. Maintain effective communication and interaction with collaboration partners, to ensure execution of short-term plans and to support alignment of long-term strategy for our digital collaborations. Active member of Seeds Development Leadership Team. Critical Skills: •    Ability to work effectively across disciplines and cultures and across geographies •    Strong stakeholder management, communication, networking and influencing skills •    Strategic thinking and the tactical implementation of strategic initiatives •    Must be able to deal effectively with organizational complexity and ambiguity •    Agile mind set to react efficiently and appropriately to rapidly changing business environment •    Excellent networking skills and ability to influence people without line management responsibility •    Appropriate balance between management and leadership styles •    Excellent communication skills •    Skilled in seeking business input (strategic imperative and prioritization) and translation into implementable Research direction •    Drives critical decisions in program and its projects   Critical Experience: •    Experience in multiple analytics and data science platform environments •    Experience in the development, utilization, and deployment of digital tools in the life sciences •    Experience in managing a high-performing and highly technical Analytics & Data Science team •    Demonstrated ability to successfully influence colleagues across functional boundaries •    Effective time management, with the ability to successfully plan and control activities over a number of months or years •    Management of high business impact projects/teams   Critical Technical, Professional, and Personal Capabilities  •    PhD in Statistics, Mathematics, Analytics, Data Science, or relevant field with experience in life sciences, Agriculture, pharma or other relevant area •    Conceptual, analytical, and critical thinker •    Creative, innovative, and solution-focused •    More than 10 years’ experience in global research and development environment •    Experience working successfully in international and multidisciplinary project team environment •    Track record of influencing/developing talent
  • The Dalles, Oregon, Northern Wasco County PUD in The Dalles, OR is searching for a Data Analyst to join our team. Just 75 miles from west of Portland, we are located in a recreational area providing: water sports, fishing, bicycling, skiing, camping, hunting, artisan shopping, hiking all within short traveling distance.   The Data Analyst serves as the data and analytics resource for special projects, client requests, and reports requiring analytics across the organization that cross several functional areas with a strong emphasis in finance. Create, maintain, and train staff on financial reporting tools. Research and analyses system wide District data and data analytic tools to inform and support decision making. Compiles data, performs statistical modeling and analysis of structured and unstructured datasets, provides analysis, develops metrics, identifies trends, and patterns and presents analysis through reports and presentations. Works with end-users to understand data and analysis needs and develop technical requirements. Provides written and verbal recommendations to management to provide ongoing insight into strategy and operations. QUALIFICATIONS: Recommended Education, Training & Experience (includes licenses or certifications): Other combinations of education and/or experience demonstrating the knowledge, skills, and abilities required to do the work will also be considered. Education/Experience: Bachelor's degree in information systems, accounting, mathematics, statistics, economics, computer science, engineering or other related business or technical area. Master’s degree preferred. Three to Five (3-5) years’ experience in a data analytics or business intelligence role demonstrating complex data analysis, reporting and automation. Governmental accounting and financial systems experience is highly desirable as well as experience with PowerPivot and Power BI tools. Skills/Knowledge/Abilities: PLEASE NOTE: This position requires the use of various tools/equipment that are related to performing the essential functions of this job. General computer literacy, Microsoft Windows, intermediate to advanced Microsoft Office Advanced skill in Excel and PowerPoint Advanced skill in SQL (MySQL and PostgreSQL) and Python Advanced skill in Tableau, Google Data Studio, or other data visualization software Working knowledge with Google suite products (Docs, Sheets, and Slides) Understanding of ERP systems; Power BI experience a plus Analytical mindset: ability to analyze large sets of data and provide meaningful insight Strong communication and presentation skills; Ability to explain data/results to stakeholders with varying levels of expertise or knowledge on the subject matter. Ability to teach, coach, and conduct training to other staff with diverse levels of expertise and knowledge, in a productive and comprehensible manner. Ability to independently manage and prioritize tasks in a fast-paced, constantly evolving environment Ability to learn functional business processes of an electric utility Maintain working knowledge of federal, state, and local codes, ordinances, regulations, practices, and procedures related to the work including government accounting principles and practices and government budgeting laws, principles, and practices Possess complex critical thinking skills using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. Possess advanced problem-solving skills to Identify complex problems and review related information to develop and evaluate options and implement solutions. Ability to maintain a high level of focus and attention to detail and produce highly accurate work. Ability to work independently with minimum direction while also working as part of a team and consistently demonstrating collaborative, respectful, and productive work habits Northern Wasco County People's Utility District is an Equal Employment Opportunity Employer. A wide variety of benefits are offered, including PTO, medical/dental/vision, life insurance, STD, LTD, VEBA, 401(k) and 457(b).
  • Austin, Texas, Dematic is looking for a senior level Operations Research Engineer in our Austin, TX office (with other locations negotiable). In the Operations Research team, we design, optimize and implement intelligent and optimization ideas to the warehouse, and may stay through the complete project process from sales to development.   Key responsibilities include, but not limited to: Sales Cycle: Provide technical support to sales Understand, analyze and document existing operations/requirements Data parsing, processing and profiling Write project proposals for distribution center operations detailing recommended solutions Justify financial investment in proposed solutions Present analysis findings to internal team and customer Analysis/Design Cycle: Process design for supply chain applications in warehouse environments Develop/Design simulation models in Python/AutoMod programming language Develop and test enhanced/optimized solutions for existing processes Develop and test optimization algorithms for proposed solutions Product/Project Development Cycle: Discuss project and algorithm design requirements with internal team and customer Implement and test algorithms to production software Provide technical support to developers during and after implementation cycle R&D Cycle: Understand the companies’ current product/process offering Track the current process or product limitations and propose improvement plans Document the current process and the proposed process Communicate with stakeholders for R&D goals Lead/Perform work on R&D effort, which include but not limited to: Create data input Model current process/product Design future process/product Model future process/product Present findings to big group audience Ten+ years of experience in the Supply Chain/Logistics industry. Focus on distribution center operations preferred. Travel to customer sites nationwide (possibly international) depending on phase of project (Travel Master’s degree (or above) in Operations Research, Industrial Engineering, Supply Chain, or equivalent field Bachelor’s degree in Computer Science, Industrial Engineering, Math, Supply Chain, Logistics, Transportation, other Engineering majors or equivalent field Preferred coursework to include: Simulation Programming Operations Research (Linear/Non-linear/Integer/Dynamic Programming) Stochastic Processes Supply Chain/Logistics/Warehousing/Transportation Background/skills at: Data science and machine learning/statistical approach Data parsing and manipulation Simulation modeling Mathematical optimization (algorithm development) of processes and systems Inferential statistical analysis skills Linear and non-linear regression modeling ROI (Return On Investment) analysis skills Risk analysis skills Object-oriented programming skills – Python (preferred), Java or VC++ Data analysis skills – Python (preferred), or R Writing skills to create business documents (proposals, system specifications, and presentations) using both MS Word and PowerPoint

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