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The INFORMS Computing Society (ICS) addresses the interface of O.R. and computing. Since their earliest days, O.R. and computing have been tightly linked. The practice of O.R. depends heavily on the availability of software and systems capable of solving industrial-scale problems: computing is the heart of O.R. in application.

ICS is INFORMS' leading edge for computation and technology. Major ICS interests are algorithms and software for modeling, optimization, and simulation. ICS is also interested in the leading edge of computing and how it affects O.R. (e.g. XML modeling standards, O.R. services offered over the web, open source software, constraint programming, massively parallel computing, high performance computing).

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Jobs of Interest to ICS

  • Halifax, Nova Scotia, Canada, The Faculty of Computer Science and Department of Industrial Engineering at Dalhousie University, in partnership with the SCALE AI Research Supercluster, invite applications for a tenure-stream or tenured Chair position in Artificial Intelligence and Logistics. Exceptional candidates at any career stage are encouraged to apply. The Chair position will include a salary and research funding package of approximately $1M for an early-career researcher, or $2M for an established researcher at the full Professor rank; dedicated research space; reduced teaching commitments; subsidies for research trainees; access to the DeepSense computing platform; and an industry ecosystem that includes the Centre for Ocean Ventures & Entrepreneurship and the Ocean Supercluster. The appointee will be expected to develop and apply cutting-edge tools in Artificial Intelligence, Deep Learning, Operations Research, Supply Chain Management and related areas including computer vision, networking, and smart factories to solve problems of significant economic, environmental, and societal importance in collaboration with industry partners. They will be expected to liaise with the business community and partners and advance the goals outlined in the Scale AI strategic plan. They will be expected to secure additional external research funds, teach and supervise undergraduate and graduate students and other research personnel, and publish in high-impact, peer-reviewed journals and conferences. Dalhousie University is committed to fostering a collegial culture grounds in diversity and inclusiveness.  The university encourages applications from Indigenous persons, persons with a disability, racially visible persons, women, persons of a minority sexual orientations and/or gender identity, and all candidates who would contribute to the diversity of our community.  For more information, please visit https:// www.dal.ca/hiringfordiversity. Review of applications will begin March 31st, 2021 and will continue until the position is filled. A complete application will include a cover letter, curriculum vitae, statements of research and teaching interests, sample publications, and the names, email addresses and physical addresses of three referees. Candidates should also be prepared to have their referees forward their letters of reference upon request. The appointment is expected to commence in September 2021 or earlier depending on the appointee’s availability. All application materials must be submitted via PeopleAdmin: http://dal.peopleadmin.ca/postings/5350 Links: Dalhousie Faculty of Computer Science: https:// dal.ca/faculty/computerscience.html Scale AI strategic plan: https:// scaleai.ca/about-us/publications/ DeepSense: https://deepsense.ca/ Canada’s Ocean SuperCluster: https://oceansupercluster.ca/ Centre for Ocean Ventures & Entrepreneurship: https://coveocean.com/ REQUIREMENTS The applicant should have research strength in artificial intelligence / machine learning, with areas of application including but not limited to hyperconnected logistics, sustainable supply-chain management and real-time tracking in the context of Industry 4.0, large-scale optimization, inventory, port logistics, and autonomous shipping/transportation. Candidates whose research focuses or touches on the ocean are especially encouraged to apply. The successful candidate will be an outstanding scholar who holds a PhD in Computer Science, Industrial Engineering, Management Science or other relevant area by the appointment date. Evidence of high research impact relative to career stage including peer-reviewed publications, knowledge translation/transfer, teaching excellence, and leadership is essential. Being a registered Professional Engineer in Canada, or eligible and committed to registration in Nova Scotia http://www.engineersnovascotia.ca, is considered an asset. Commensurate with level (junior or senior Chair) and experience
  • Spokane, Washington, Job Description Avista is seeking an Operations Research (OR) Analyst to support, analyze, design and develop leading edge optimizations and analytics based decision support tools. This position works independently and with others in Energy Resources preparing complex modeling evaluations of electric resources. Our ideal candidate is familiar with and has theoretical background and practical experience in advanced optimization techniques, including linear, non-linear programming, and mixed integer program theory, including experience using commercial solvers. Has experience in applied operations research, including decision analysis, optimization, simulation, statistics, and stochastic modeling. Is able to architecture, develop, implement, and test software and models in these areas. Can program in Python and other software languages in support of software/model development. Is recognized as a highly productive and innovative contributor in the solution of multi-discipline problems. Prepare modeling studies for new resources, power contracts, upgrades, and redevelopment of existing electric generation resources. Evaluate the costs and benefits of resource alternatives and provide recommendations through written memorandums and oral presentations. Act as an internal consultant to various managers in modeling of business decisions, action plans, and improved operations. Architect, develop, implement, and test software and models supporting various Energy Resource objectives. Develop in-depth models for analysis of various resource acquisition and optimization strategies, including models developed in spreadsheets and industrial solver models such as Gurobi and CPLEX. Consult with the software development teams to derive the best solutions for business. Operate and maintain the Company’s Avista Decision Support System (e.g., ADSS) model. Coordinate work assignments with other sections and departments to bring about the completion of activities requiring the effort of multiple work groups. To Apply Applications must be submitted directly through our website. https://www.myavista.com/about-us/working-at-avista   Complete an online application and attach your resume and cover letter to your profile. All documents must be attached to your application at the time of submitting your application for review . No documents can be attached after you click "Submit". Pre-employment screening requirements Employment is contingent upon the successful completion of a drug test, background check and motor vehicle records review.    Avista’s Commitment to Equal Opportunity and Affirmative Action Avista is committed to the goal of Equal Opportunity Employment and Affirmative Action. All qualified applicants will be considered regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, marital status, age, sensory, mental or physical disability (unless based upon a bona fide occupational qualification), Veteran status or any other classification protected by nondiscrimination law. Please view Equal Employment Opportunity Posters provided by OFCCP here . Avista will make reasonable accommodation to assist a qualified person with a disability in the job application, interview process, and to perform the essential functions of the job whenever possible, where undue hardship would not be created for Avista. Please let us know if you would like assistance. Requirements Requires a Bachelor’s degree from an accredited college or university with a focus in Industrial Engineering, Operations Research, Mathematics or related field. More than 5 years’ experience and significant growth as an Operations Research analyst or from another related field (a graduate degree may substitute for some of the experience requirement). Strong spreadsheet and database skills are expected. Strong capacity to work independently and bring new business concepts, analyses, and strategies to the peer group. Previous project management experience is preferred. Develops and maintains new models to support company business, is a thought leader in the department Excellent written, verbal and interpersonal skills. Ability to work efficiently and effectively in a fast paced environment is expected. Other combinations of experience and/or education may be considered Incentive Plan included with offer.
  • Falls Church, Virginia, Position Background and Scope This position will lead of a small team to provide direct analytic support to regional decision makers within Navy Medicine. Each region has an independent team, but teams will coordinate with headquarters and across regions to ensure knowledge, learning, and best practices are shared across the organization. Analytic efforts may include modeling, statistical inference, machine learning, data visualization and dashboard development. Position Summary and Responsibilities TBE is seeking an analytics professional to lead a team supporting analytics efforts within Navy Medicine. Responsibilities include, but are not limited to: Work closely with customers, managers, and technical team to define program scope, goals, and deliverables Direct and work with a team to develop long term analysis products Direct and work with a team to respond to ad hoc requests for specific analysis (short term) Prepare and present project communications for customers and key stakeholders Provide leadership for multi-disciplinary teams in a collaborative environment Author technical reports and review team products for consistency and accuracy Qualifications This position requires the ability to obtain a DoD Security Clearance to the level of "Secret" Education and/or Experience Requires a B.S. degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Economics, Data Science, Analytics, or related analytic field. Minimum fifteen (15) years of applicable professional experience, including minimum five (5) years in a supervisory position Superb communication skills with the ability to elicit goals, needs, and outcomes with leaders at all levels across different functions and organizations Highly Desirable Skills and Characteristics M.S. degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Economics, Data Science, Analytics, or related analytic field Demonstrated experience leading analytic projects Demonstrated success in customer-facing roles with frequent stakeholder interactions at all levels 5+ years of direct experience applying operations research, statistics, or data science techniques to develop analysis products Solid foundational knowledge of analytic techniques (statistics, queueing theory, probability, mathematical optimization, machine learning, systems engineering, decision analysis, etc.) Proficiency in one or more programming languages commonly used in analytics (Python, R, Julia etc.) Advanced data visualization experience to clearly communicate relationships among complex data Familiarity with cloud environments (AWS, Azure) Familiarity with software development life cycles and principles Experience working within the Department of Defense Experience working within the Military Health System Citizenship Requirements Due to classified work at the facility and related access restrictions, successful applicants must maintain U.S. Citizenship to allow the person to hold a U.S. Government security clearance.

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