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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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  • Slater, Iowa, 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   Syngenta Digital is changing the agriculture industry and we want you to be part of that. Digital innovations, data and new technologies will transform the way that crops are managed in the future and enable farmers and agronomists to enhance efficiency and sustainable food production. You will help to develop solutions that turns data into meaningful information and ultimately helps to grow more food with fewer resources.   The Syngenta Analytics and Data Sciences team is seeking a Biostatistician with a passion for utilizing their statistical and applied mathematical skills to help transform our Seeds product development pipeline, through enhanced experimental designs and analytics. As a Biostatistician you will work collaboratively on the design, analysis, and implementation of industry-leading experimental designs and biometric capabilities to improve decision making for Syngenta Seeds Research and Development.   You will help transform digital agriculture by: Working collaboratively on the design, analysis, and implementation of industry-leading experimental designs and the biometric capabilities to improve decision making for Syngenta Seeds Research and Development. Accountabilities Play a major role in defining, designing, and enhancing our experimental designs and analysis capabilities for our field trial experiments that support our global seeds business Assist in modernizing our field trialing system by utilizing phenomics, sensor data, and spatial analyses to gain insights and enhance decision making Model complex problems, discover insights, and identify opportunities with the use of statistics, applied mathematics, and visualization techniques Provide fit-for-purpose statistics and data analytics support Identify data needs and provide recommendations; efficiently process, clean, and verify the integrity of data used for analyses Locations available: Downers Grove or Malta, Illinois; Slater, Iowa; Raleigh-Durham, North Carolina Requirements Ph.D. or Master’s degree with equivalent experience in applied mathematics, statistics, data science or related quantitative field 2+ years of experience in statistical methods applied to experimental design and analysis, including programming, multivariate statistics, probability, and spatial statistics Experience using a programming language (Python, C/C++, Matlab) or a statistical computer language (R, Python, SQL) to manipulate data and draw insights from large data sets Experience with visualization and rapid prototyping tools (R Shiny, Spotfire, Power BI) Technical understanding of plant breeding and environmental trialing Preferred Requirements Formal training and experience in mixed-linear models, generalized linear models, machine learning models, stochastic or mathematical simulation models Experience with Agile methodology Demonstrated accountability, continuous development, collaboration, and strong communication, and storytelling skills Ability to network and collaborate with colleagues from diverse technical backgrounds to build and enable end to end solutions What We Offer: Full Benefit Package (Medical, Dental & Vision) that starts the same day you do 401k plan with company match, Profit Sharing & Retirement Savings Contribution Paid Vacation, 12 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year   Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.   Family and Medical Leave Act (FMLA) ( http://www.dol.gov/whd/regs/compliance/posters/fmla.htm )   Equal Employment Opportunity Commission's (EEOC) ( http://webapps.dol.gov/elaws/firststep/poster_direct.htm )   Employee Polygraph Protection Act (EPPA) ( http://www.dol.gov/whd/regs/compliance/posters/eppa.htm )
  • Fort Collins, Colorado, Platte River Power Authority is a public power provider that has emerged as a leader in Colorado’s utility sector. Our staff works collaboratively and efficiently to safely deliver reliable, environmentally responsible and financially sustainable energy and services to our owner communities of Estes Park, Fort Collins, Longmont and Loveland. We share a sense of purpose and great pride in what we do and the value we provide to our communities, our region and the energy industry. If you’re searching for a collaborative working environment within a mid-sized organization that values innovative ideas, diverse perspectives and provides opportunities to make a difference, consider joining the Platte River team. Senior Resource Planner The Senior Resource Planner is responsible for developing integrated resource plans, conducting production cost studies, annual budget preparation, supply side and DER (Distributed Energy Resources) evaluation for deep decarbonization planning, transaction evaluation and providing other technoeconomic analytical support to Platte River’s strategic planning and resource planning efforts. This position will work in a cross-functional team environment with staff and management from multiple departments. Essential duties and responsibilities Must possess required knowledge, skills, abilities and experience and be able to perform, with or without reasonable accommodations, the essential functions of the job. Utilizes advanced simulation platforms such as Plexos, Aurora, EnCompass, and PROMOD, etc. to develop optimal resource portfolios for Platte River Provides production simulation results for budgeting, rate making and other requirements Utilizes advanced statistical simulation, Monte Carlo simulation, simple ant stochastic optimization to enrich the quality of analytical work Supports renewables and storage integration to meet reliability needs in a deeply decarbonized portfolio Analyzes DERs and supply-side resource alternatives Supports competitive bid evaluation for power procurement and other purchase/sale transactions Incorporates a broad range of future uncertainties in fuel prices, electric market prices, CO2 requirements, costs of renewable and storage technologies, system reliability requirements, State and Federal policies Provides analytical support for better integration into an energy market Collects and verifies data from internal and external sources. Organize data for ease of use in the modeling and future updates Keeps modeling tools and assumptions accurate and current including fuel costs, production capability (heat rates, capacity, starting and variable operating cost, scheduling flexibility, renewable profiles, etc.), contract terms and other factors Develops presentation materials from modeling and other analyses to support communications with senior management, the Board of Directors and other stakeholders This role is classified as a marketing function employee under FERC (Federal Energy Regulatory Commission) Standards of Conduct. The employee will need to become familiar with, and follow FERC Standards of Conduct Maintains regular and reliable attendance Other functions Interfaces and works with different organizations within Platte River Researches, tracks and evaluates new and innovative technologies to enhance electric service tot he Municipalities and their customers Performs other duties as assigned   Bi-weekly salary range for this position: $3,935 - $5,411 (placement DOQ) (if annualized: $102,312 - $140,676 DOQ) Platte River Power Authority offers employees an outstanding benefits package. Benefits offered for this position may include the following: health insurance options including PPO and high deductible with health savings account; telemedicine; benefit advocacy; dental and vision insurance; FSA; basic as well as voluntary life insurance and accidental death and disability; long-term disability insurance; paid holidays; paid time off; wellness program; in-house training opportunities; tuition reimbursement; and employee assistance program. For additional information, please see our website careers page at: https://www.prpa.org/careers/benefits/ Knowledge, skills and abilities The following are required: Extensive analytical skills including statistical and optimization modeling Excellent computer skills with the ability to learn new software applications quickly High attention to detail with the ability to produce accurate results Excellent verbal and written communication skills Strong interpersonal and collaborative skills with the ability to work independently and as part of cross functional teams Ability to think strategically for innovative ways to incorporate various possible situations Ability to manage shifting priorities Excellent facilitation skills Demonstrated knowledge of electric generating unit's operation and performance characteristics The following are preferred: Project Management Professional Certification Minimum qualifications Bachelor's degree in Engineering, Finance, Statistics, Operation Research, Economics, Mathematics, Business or related field Minimum three years of electric utility resource planning with specific experience in computer modeling and analysis Minimum one year of experience running planning tools like Plexos, Aurora, Promod, Encompass Current valid driver's license and ability to remain insurable under Platte River's vehicle liability policy
  • 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 within 6 months from the application date 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.
  • Toronto, Ontario, Canada, Located in downtown Toronto, the largest and most culturally diverse city in Canada and on the   territory of the  Anishinaabeg, Haudenosaunee and the Wendat Peoples,  the  Department of Mechanical and Industrial Engineering (MIE)  in the  Faculty of Engineering & Architectural Science  at  Ryerson University  invites applications for a tenure track position at the rank of Assistant Professor in Industrial Engineering focusing on  Modeling and Optimization of Large Scale Complex Systems, effective July 1, 2022 subject to final budgetary approval.  The successful candidate will engage in a combination of teaching, scholarly research or creative activity, and service duties while maintaining an inclusive, equitable, and collegial work environment across all activities. Teaching duties will entail teaching at undergraduate and graduate levels, supervision of students and/or curriculum development. The successful candidate will further pursue a strong, innovative research program or creative activity that is externally funded and that produces cutting-edge, high-quality results.  Candidates must hold a doctoral degree in Industrial Engineering, Operations Research, or a closely related field by the appointment date.  In addition, the successful candidate must present evidence of:  a strong methodological foundation in modeling and optimization of large scale complex systems;  a strong emerging scholarly research and/or creative activity that is current, innovative, and impactful as evidenced by, but not limited to, peer-reviewed publications, working papers, public policy contributions, presentations at academic conferences, community and professional work, grants, research-related awards, and other writing or creative production that contributes to the visibility and prominence of the discipline; a relevant research area of interest, including, but not limited, to logistics, transportation, health-care services and systems, and energy systems;  potential for teaching excellence in industrial engineering and operations research-based courses at all levels of the undergraduate curriculum and suitability for teaching in the graduate program; eligibility to register as a professional engineer (P.Eng.) in the province of Ontario;  a commitment to our values of Equity, Diversity, and Inclusion as it pertains to service, teaching, and scholarly research or creative activities, including a demonstrated ability to make learning accessible and inclusive for a diverse student population, and  an ability and willingness to contribute to the life of the Department, Faculty, and the University through collegial service.   In addition, expertise in stochastic optimization is highly desirable and postdoctoral experience is considered an asset. Our committee recognizes that scholars have varying career paths, and career interruptions can be part of an excellent academic record. Candidates are encouraged to provide any relevant information about their experience and/or career interruptions.  This position falls under the jurisdiction of the Ryerson Faculty Association (RFA) ( www.rfanet.ca ). The RFA collective agreement can be viewed  here , and a summary of RFA benefits can be found  here . Ryerson University Serving a highly diverse student population of over 45,000, with 100+  undergraduate  and  graduate  programs built on the integration of theoretical and practical learning and distinguished by a professionally focused curriculum with a strong emphasis on excellence in teaching, research and creative activities,  Ryerson  is a vibrant, urban university known for its culture of innovation, entrepreneurship, community engagement and city-building through its award-winning architecture.  Department of Mechanical and Industrial Engineering Our Department offers undergraduate and graduate (Master’s and Doctoral) programs to 1400 students of diverse backgrounds. Our faculty prides itself on the excellence of its research, the quality of its teaching and community engagement. We are interested in candidates who will contribute to our existing strengths in research/creativity activity and teaching through academic, professional and diverse lived experiences and perspectives.  Working at Ryerson At the intersection of mind and action, Ryerson is on a transformative path to become Canada’s leading comprehensive innovation university. At Ryerson, we firmly believe that equity, diversity and inclusion are integral to this path; our current  academic plan  outlines each as core values and we work to embed them in all that we do.  Dedicated to a people first culture, Ryerson is proud to have been selected as one of Canada’s Best Diversity Employers and a Greater Toronto’s Top Employer. We invite you to explore the range of  benefits  and supports available to faculty and their families, including access to our diverse  faculty and staff networks .  Visit us on Twitter:   @RyersonU ,  @RyersonHR ,  @RyersonVPFA  and  @RyersonECI  and our  LinkedIn company page . Ryerson is committed to accessibility for persons with disabilities. To find out more about legal and policy obligations please visit the  accessibility  and  Human Rights  websites. Ryerson University welcomes those who have demonstrated a commitment to upholding the values of equity, diversity, and inclusion and will assist us to expand our capacity for diversity in the broadest sense. In addition, to correct the conditions of disadvantage in employment in Canada, we encourage applications from members of groups that have been historically disadvantaged and marginalized, including First Nations, Métis and Inuit peoples, Indigenous peoples of North America, Black-identified persons, other racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+.  How to Apply Applicants must submit their application online via the  Faculty Recruitment Portal  (click on “Start Application Process” to begin) by March 1, 2022. The application must contain the following:  a letter of application; a curriculum vitae;  three examples of materials produced to disseminate research, e.g. publications, conference presentations, etc.; a research statement (maximum 3 pages); a teaching statement (maximum 2 pages);  a sample of teaching evaluation, if any;  a diversity statement (maximum 1 page), i.e. evidence of commitment to EDI that demonstrates an understanding of EDI principles and evidence of application of those EDI principles, or clearly defined plans of how EDI principles will be applied in research and teaching;  names of three individuals who may be contacted for references. Please note that all qualified candidates are encouraged to apply; however, applications from Canadians and permanent residents will be given priority, in accordance with Canadian immigration regulations.  Candidates must therefore indicate in their application if they are a permanent resident or citizen of Canada.    Contacts Any confidential inquiries about the opportunity can be directed to the DHC Chair, Dr. Sharareh Taghipour at  sharareh@ryerson.ca .  Indigenous candidates who would like to learn more about working at Ryerson University are welcome to contact Tracey King, Miigis Kwe, the Indigenous Human Resources Lead and the Founding Co-Chair of the First Nations, Métis and Inuit Community Group at t26king@ryerson.ca.  Black identified candidates who wish to learn more about working at Ryerson University are welcome to contact Shurla Charles-Forbes,  Black Faculty & Staff Community Network  at  shurla.charlesforbes@ryerson.ca .    For any confidential accommodation needs in order to participate in the recruitment and selection process, please contact Laurie Shemavonian, HR Advisor at  laurie.shemavonian@ryerson.ca .
  • University Park, Pennsylvania, The Pennsylvania State University is recruiting a highly motivated postdoctoral scholar for the project “Capacity Adequacy Options for Electricity Markets with Increasing Renewable Penetration”, which was funded by the National Science Foundation and is led by Prof. Chiara Lo Prete. Description The objective of the project is to compare wholesale electricity market designs for resource adequacy under increasing renewable penetration. The position will involve developing stochastic equilibrium models that incorporate risk aversion and extreme events into generation capacity investment decisions. A distinctive feature of the project is that predictions from the equilibrium models will inform the design of human subject experiments to compare performance of market structures in the lab. The primary focus of this position is on equilibrium models, but the postdoctoral scholar may also have the opportunity to participate in the design of the lab experiments. Requirements Applicants must have a Ph.D. in a relevant field (e.g., operations research, industrial engineering, applied mathematics) by the effective date of employment. Competitive candidates will have a solid background in optimization with strong programming skills, familiarity with complementarity models and relative solution techniques, and an interest in electricity markets. More details The preferred start date is March 1, 2022. The appointment will be for a period of 12 months with possibility of renewal contingent upon successful evaluation of performance. Potential applicants should please contact Prof. Lo Prete ( chiaraloprete@psu.edu ), including a cover letter (max 1 page) describing their background and interest in this opportunity, a current curriculum vitae (max 2 pages), and contact information for three professional references. Review of applications will continue until the position is filled. All faculty and staff at Penn State locations where work is being conducted under federal contracts (including the University Park campus) are required to be fully vaccinated against COVID-19 by December 8, 2021.

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