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

  • Princeton, New Jersey, Are you looking to apply your modeling, coding and problem-solving skills to the most complex business environments? Princeton Consultants could be the perfect career fit for you to work on a variety of compelling and challenging projects.                                   We blend AI, optimization and advanced analytics with management consulting to help companies improve performance. Founded in 1981, we have a long track record of developing and successfully deploying breakthrough solutions across many industries. Specialty services include: 3rd party model review and validation, Cost Benefit Analyses of advanced analytics projects, and AI and optimization project risk management. Our optimization and advanced analytics projects include all of the steps identified in the INFORMS Job Task Analysis, and in this position, you will participate in all of the seven major tasks. Princeton Consultants is a member of the INFORMS Roundtable. Princeton Consultants has offices in Princeton, NJ and New York, NY. Our 75 consultants serve leading corporations and fast-growing innovators throughout North America. We employ small teams that work in a collegial environment.  We look for individuals with outstanding academic track records and the capability to cultivate advanced technical expertise and deep business intelligence. Position Details Full-time salaried employee Year-end bonus Other potential bonuses Career advancement reviews twice per year Small, high-powered work teams Assignments sometimes include business travel We have offices in midtown Manhattan and Princeton, NJ. Work is currently remote. Benefits Company-paid insurance:  Health, Life, AD&D, LTD Paid vacation, holidays and sick days 401(k) retirement plan with company match Maternity and family leave Required Skills Python programming Experience with one or more of Gurobi, CPLEX or XPRESS-MP Building mathematical optimization models for complex problems Preferred Skills Experience with pandas library Machine learning and predictive analytics Object-oriented programming
  • Atlanta, Georgia, POSITION SUMMARY: The Atlanta Regional Commission (ARC) is the regional planning and intergovernmental coordination agency that focuses on issues critical to the region’s success, including growth and development, transportation, water resources, services for older adults and workforce solutions. ARC is dedicated to unifying the region’s collective resources to prepare the metropolitan area for a prosperous future. This is done through professional planning initiatives, the provision of objective information and the involvement of the community in collaborative partnerships. The Data Analysis and Travel Demand Modeling Coordinator within the Transportation Access and Mobility Section is responsible for managing highly complex and visible enterprise-wide data modeling tools, forecasting and analysis. As assigned, work may include coordinating the work of team members; developing and managing long- and short-range travel demand forecasts; coordinating advisory, training and technical assistance; consulting with partners and stakeholders regarding data interpretation, traffic trends, and application to planning initiatives; preparing and managing contracts; planning, convening, facilitating and/or chairing meetings; ensuring that work programs and outcomes meet established goals; leading or serving on technical committees; overseeing project implementation; and serving as a representative of the agency to member jurisdictions, outside agencies and the public. ESSENTIAL DUTIES AND RESPONSIBILITIES: Coordinate mission-critical enterprise-wide functions or may serve as a lead worker, assigning work and monitoring work completion; Coordinate and oversee RFP process for consultant selection; facilitate consultant selection committee; oversee scope of work and contract deliverables; Manage large datasets; analyze data; summarize data and use software and other techniques to present findings; Conduct needs assessments; provide training on models and use of statistics. Provide technical guidance and support to travel demand model users; develop and update data and analytics; respond to data requests, and thoroughly document ARC’s travel demand modeling technical procedures; Identify new technology products; provide recommendations to managers and/or decision-makers; Maintain, run and trouble-shoot the ARC regional activity-based travel demand forecasting model; Perform other duties assigned to support agency goals and objectives. REQUIRED KNOWLEDGE, SKILLS, ABILITIES AND COMPETENCIES: Knowledge of systems administration and project management; Knowledge of the software development cycle, including the GitHub open-source software tracking and coordination platform; Knowledge of Regional Activity-Based Travel Demand Forecasting Model Development & Applications, including ActivitySim, as well as model calibration & validation; Knowledge of data analysis, including “Big Data” manipulation, probe data analytics (such as NPMRDS), travel survey data, Census data (ACS / CTPP), R and RStudio, Jupyter Notebook, etc.; Skill in modeling including travel demand modeling software such as CUBE, TransCAD, Visum, Emme, and map development in GIS, including the use of geo-database for roadway and transit network coding; Skill in database development and administration, including the manipulation of large matrices and travel survey datasets; Skill in programming language such as Java and Python; Skill in data gathering and analysis, including data visualization; Strong organizational skills and attention to detail; excellent written and verbal communication skills; excellent management skills and the ability to juggle competing priorities; Proficient in Model integration with land use model (such as PECAS and UrbanSim), air quality model (EPA – MOVES3), toll optimization, dynamic traffic assignment, freight modeling, and other peripheral / ancillary models such as externals model, air passenger model, as well as other ones such as FTA - STOPS model and REMI – TranSight model. MINIMUM QUALIFICATIONS: Master’s degree in business, economics, statistics, urban planning, computer science, information technology or related field Three (3) years of experience in data collection and analysis and associated technical support, which may include programming and/or supervisory/lead experience An equivalent combination of education and experience sufficient to successfully perform the essential duties of the job such as those listed above, unless otherwise subject to any other requirements set forth in law or regulation. SPECIAL REQUIREMENTS: In addition to the detailed examples of responsibilities and abilities contained herein, all employees of the Atlanta Regional Commission are expected to model behavior consistent with the guiding principles outlined in our Evolution Strategy . Specifically, incumbents are responsible for demonstrating work habits that are:  Interdisciplinary by promoting professional and interpersonal connections and integration across functional disciplines. Holistic by seeking expertise within the team, Group, or Agency to produce his/her work output, and demonstrating a strong understanding of and support for interrelationships between their work and the work of others in the team, Group, or Agency. Actionable by continuously striving to improve his/her capabilities to produce sustainable outcomes and displaying a strong need for achievement and a high energy level to attain goals. Outcome Based by taking the initiative to meet goals and expectations, and consistently striving to produce tangible results with significant visible impact, and. Targeted toward Ensuring Colleagues' Success by willingly and deliberately providing his/her expertise to others to build and sustain effective internal and external working relationships, and by modeling behaviors that consistently demonstrate concern for colleagues' success, needs, respect, trust, and integrity.    no SS deductions except for Medicare portion, approx. 1.45% of salary)
  • 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

INFORMS Journal on Computing Articles


  • Andre Cire
    Andre Cire
    32 Points
  • Cong Cao
    Cong Cao
    25 Points
  • Alice Smith
    Alice Smith
    23 Points