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

  • 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 Systems Engineering [Ref. A/508/03] The Department of Systems Engineering (SYE) aspires to be a centre of excellence in research and education in intelligent systems and smart manufacturing.  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. SYE 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 Systems Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong (email : sesearch@cityu.edu.hk) To apply, please submit an online application and include a current curriculum vitae.  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 #54 (QS 2023), and #4 among top 50 universities under age 50 (QS 2021); #4 in the World’s Most International Universities (THE 2023); #1 in Automation & Control/Electrical & Electronic Engineering/Materials Science & Engineering/Metallurgical Engineering/Nanoscience & Nanotechnology and #3 in Telecommunication Engineering in Hong Kong (GRAS 2022); and #42 Business School in the World and #5 in Asia (UT Dallas 2018 to 2022)
  • Arlington, Virginia, Research Analyst (Data Scientist II) CNA, 3003 Washington Blvd, Arlington, Virginia, United States of America   Req #460  Tuesday, January 17, 2023   PRIMARY PURPOSE   The Data Science Division (DSD) is part of the Center for Naval Analyses. The DSD provides data science expertise and support to the Department of the Navy and Department of Defense. The division has full time and part time analysts with advanced degrees in data science, operations research, statistics, economics, computer science, physics, mathematics, engineering, chemistry, and other technical disciplines. The DSD develops models and analytics to support Navy problems across all Navy domains, including aviation, surface warfare, undersea warfare, cyber, logistics, readiness, force generation, sustainment, acquisition, and cost modeling. The division currently supports the Navy’s Performance-to-Plan forum, which provides senior Navy leadership forward?looking performance forecasts, which are foundational to articulating Navy progress toward readiness and capability goals. CNA fosters an inclusive culture that values diverse backgrounds and perspectives. Our flexible and engaging work environment encourages iterative and creative collaboration at every stage of the problem solving process. Our employees are committed to helping clients develop effective solutions to better manage their programs through scientific, data-driven approaches.    JOB DESCRIPTION AND/OR DUTIES 1. With minimal or no guidance, meets CNA’s quality standards when working on well-structured pieces of a project. Demonstrates ability to develop sound analytic frameworks and associated analytic methodologies/ techniques for addressing both structured and unstructured problems.  With direction and supervision, clearly defines, structures, and executes a piece of a complex study to meet quality standards.  Demonstrates analytic creativity and curiosity.   2. Develops and maintains broad, general institutional knowledge of primary clients/sponsors; their culture, organization, and issues.   3. Contributes productively and harmoniously to the work of others; treats everyone respectfully, professionally and fairly.  Keeps others informed.  Proactively identifies and seeks out others working on similar topics.  Works to identify opportunities for collaborations within team, division, and operating unit.   4. Supports business development efforts and/or marketing activities by maintaining strong client relationships through high quality work, increasing the visibility of our work, and other related activities such as proposal preparation.   5. Interacts with sponsors/clients under the supervision of an experienced colleague, and with study POCs independently.   6. Makes significant contributions to research publications and analytic products for individual projects.   7. Demonstrates ability to communicate results of work in a clear and concise fashion.  Effectively communicates one-on-one and in groups.  Can document work efficiently and accurately.  Can effectively present work to colleagues, sponsors, and small audiences that are familiar with content.   8. Works with minimal or no guidance on focused, well-structured pieces of projects.  Works under closer supervision on more complex, less-structured tasks.  Can serve as task lead for pieces of projects by managing own activities.  May lead small projects under the supervision of an RTL/CMD.    9. Exhibits a positive attitude in interactions with colleagues and clients/sponsors.  Provides clear guidance to colleagues on tasks.  Takes responsibility for own actions and outcomes.   10. Performs other duties as assigned.  JOB REQUIREMENTS  1. Education: Minimum Master’s degree in  operations research, systems engineering, industrial engineering, Data Science or in a field closely related to decision-making optimization , PhD preferred. 2. Experience: Typical minimum requirements Ph.D. & 0+ years or Master’s & 2+ years of experience in: - Developing and parameterizing mathematical programs, such as linear, integer, quadratic and/or stochastic programs. - Using optimization to inform analysis of tradeoffs and business cases to support resourcing decisions. E xperience in applying optimization techniques in the fields of supply chain management and/or portfolio management is highly desired. 3. Other: Ability to obtain and maintain an Active Secret Security Clearance. 4.  Remote/Hybrid Work Eligibility: This position is eligible for telecommuting or hybrid work arrangements at the discretion of the Supervisor.  Employees may be required to work at CNA headquarters or other work locations resulting in changes to the scheduled telecommuting or hybrid work arrangements   **Required Documents*** 1. Cover Letter  - Please include a cover letter as part of your application to be considered for this position. A cover letter should introduce yourself, briefly summarize your professional background, explain why you are a good candidate and the reason for your personal interest in applying for this job 2. Transcripts  - Please include your transcripts as part of your application to be considered ***Voluntary (but highly desired) document*** Please include a personal statement as part of your application. A personal statement is a chance for us to get to know you. The statement is your opportunity to share your goals, interests, influences and show us that you will be a valuable asset to our organization. Please click here for personal statement guidelines –  Click here Personal statements will not be used as an elimination criteria for this position. They will only be used to enhance a candidate’s application CNA is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service and protected veterans, or other non-merit based factors. In addition to federal legal requirements, CNA complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. These protections extend to all terms and conditions of employment, including recruiting and hiring practices, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training and career development programs. For more information about EEO protections, please view the EEO is the law posters here:  "EEO is the Law" Poster;   "EEO is the Law" Poster Supplement.  The pay transparency policy is available here:  Pay Transparency Nondiscrimination Poster . To be considered for hire, all individuals applying for positions with CNA are subject to a background investigation. For positions requiring access to classified information, U.S. citizenship is required. Individuals will also be subject to an additional government background investigation, and continued employment eligibility is contingent upon the ability to obtain and maintain an active security clearance.

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