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

  • Dorval, Quebec, Canada, As a Data Scientist - Operations Research and Optimization at Air Canada, you will drive the analytical scope and methodology for projects using Optimization, Data Science, Simulation, Mathematics, Statistics, and Business Acumen to derive structure and knowledge from raw data and business rules. We are looking for an Operations Research Scientist to help us formulate business problem, objective, and constraints into solvable model and help us make smarter decisions to deliver even better products and services. Your primary focus will be in applying Operation Research techniques integrated with our products and services.   In this role, you will join the AI-CoE (Center of Excellence), a central group within Air Canada’s IT organization that builds Machine Learning and Optimization solutions to internal business units including Revenue Management, Network Planning, Operations, Maintenance, and Cargo organizations. The team primarily comprises of Data Scientists, Data Engineers, Operations Research Scientists, Machine Learning Engineers, and Delivery Leads. As you join a project to deliver a deployable production-grade application to one of our business stakeholders, you will collaborate with Business Sponsors, Product Owners, Business Analysts and SEM(s), DevOps, Solution Architects, UX Designers, Full-stack Developers, and QA engineers. All projects are executed in agile mode, following 2-3 weeks sprints, with incremental releases leading to the final production release.      Key Functions Use optimization techniques to formulate, solve business problems, and build in-house decision-support systems. Apply decomposition methods as needed to solve very large-scale models. Develop and implement scalable quantitative mathematical models and collaborate with engineers to deploy these models. Perform quantitative, economic, and numerical analysis of the performance of these systems to find both exact and heuristic solution strategies for optimization problems. Apply mathematical optimization techniques, including Linear Programming, Integer Programming, Dynamic Programming, Network Optimization algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software. Apply Machine Learning and regression techniques to tackle predictive modeling problems. Create software prototypes to verify and validate the devised solutions methodologies. Investigate the conflict behind infeasible datasets and add appropriate handling to resolve such infeasibilities.    Establish processes for large-scale data analyses, model development, model validation and model implementation. Develops complex models and algorithms that drive innovation throughout the organization. Can objectively weigh trade-offs of different algorithms and models. Guide data engineering efforts to ensure alignment with future optimization engine needs. Performing quality assessments of analytical solutions, particularly simulation and optimization models. Lead requirement and systems analysis efforts, including translating business requirements into quantitative mathematical models. Establish and maintain effective business relationships. Qualifications A Master’s Degree or PhD in Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, or Quantitative Methods and/or relevant experience commensurate to the role. 3 - 5 years of related work experience. Proficiency in using one of the commercial solvers like Cplex, Gurobi, or Fico Xpress, or non-commercial solvers like Coin-OR or SCIP. Strong background in optimization techniques to solve Mixed Integer Programming (MIP), Quadratic Programming (QP), or Non-Linear Programming (NLP).  Fluency in at least one programming or scripting language (e.g. Python, Java, C, C++, C#). Experience in SQL and querying large datasets. Experience in applying Operations Research, advanced analytical and/or statistical methods to solve business problems. Experience with fast prototyping. Familiarity with Network Optimization, Large Scale Neighborhood Search. Familiarity with Machine Learning models and algorithms.   Excellent presentation and verbal/written communication skills, with the ability to explain complex analytical concepts to people from other fields. Self-motivated and highly independent. Strong problem solving and data analysis skills.   Conditions of Employment: Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position. Mandatory Covid-19 Vaccination Required   Linguistic Requirements Based on equal qualifications, preference will be given to bilingual candidates.    Diversity and Inclusion   Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.   As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve. Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.
  • 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)

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