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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

  • Orange, Connecticut,   The Yale School of Medicine of the Department of Psychiatry is recruiting one highly motivated bioinformatic postdoctoral associate (2-year appointment) to begin immediately, who aspires to become an independent academic researcher in the areas of addiction genetics/epigenetics and computational psychiatry.    The postdoctoral associate will work primarily with Dr. Ke Xu, Associate Professor of Psychiatry, on NIH-funded studies of identifying epigenetic (e.g. DNA methylation) alterations associated with substance misuses in humans. The role will involve in analyzing high throughput genomic data including DNA methylation sequencing, RNAseq, single cell RNAseq, performing integrative analyses and delivering analytical results.  The applicant will be expected to have capacity to work independently as well as collaboratively with other members in the lab, to have experience in developing workflows for sequencing data and ability to multitask. Other research duties will include authoring and co-authoring several manuscripts per year, assisting with grant writing, collaborating with other investigators, and attending professional conferences.      Qualifications include a doctoral degree in genetics/epigenetics, statistical genetics, mental health, and bioinformatics, or other relevant area at the time the position begins and excellent project management and writing skills. Excellent programming skills (R or Python, Linux shell scripting) and experience with high performance computing in Linux environment is required. Experience with psychiatric disorder research and 1-2 years prior post-doctoral experience are preferred but not required. Yale University is an Equal Opportunity/Affirmative Action Employer and actively solicits applications from women and minority candidates. Applicant Instructions:  To apply, please send a single PDF documenting the following to  ke.xu@yale.edu : 1) Cover letter detailing previous research experience, interests, and career goals  2) CV 3) Names and contact information of three academic references    
  • Lubbock, Texas, Edward E. Whitacre Jr. College of Engineering Industrial, Manufacturing and Systems Engineering Department Assistant/Associate/Full Professor of Industrial, Manufacturing and Systems Engineering Applications are invited for a tenured/tenure-track faculty position at all ranks in the Department of Industrial, Manufacturing and Systems Engineering (IMSE) within the Whitacre College of Engineering (WCOE) at Texas Tech University located in Lubbock, Texas, USA. Exceptional senior candidates may also be considered for the E. L. Derr Endowed Professorship. Founded in 1934, the department is one of the first IMSE departments in the nation and the first in the state of Texas. Texas Tech University is a comprehensive Tier I research university that includes law and medical schools with an enrollment of more than 40,000 students total. Texas Tech University is a Hispanic Serving Institution (HSI). There is a vibrant and energetic research atmosphere both within the IMSE department and across departments in the WCOE, University, and the Texas Tech Health Sciences Center. The IMSE department also actively supports the WCOE research thrust areas of Energy, Water, Engineers in Medicine, Infrastructure, Nanotechnology and Big Data/Data Visualization.  The IMSE department has numerous laboratory facilities (manufacturing, bioprinting and biofabrication, tissue assembly and nanofabrication, complex systems modeling, control, and optimization, and ergonomics), and is home to a multidisciplinary center related to safety ( http://www.depts.ttu.edu/cehrop/ ). Additional information about the department is available at http://www.depts.ttu.edu/imse/. The IMSE department is seeking applicants working in all areas, with an emphasis given to those working in Supply Chain Management, Simulation, or Human Factors. Qualified candidates must possess a Ph.D. in Industrial Engineering or a closely related field, be eligible to work in the United States, and have excellent communication skills. Candidates who demonstrate the ability to conduct high quality, methodologically innovative research, and have very strong records of scholarship supported by extramural funding and who have the proven capacity or clear potential to bring externally sponsored research to Texas Tech University are encouraged to apply. Candidates will teach undergraduate and graduate courses (including distance education) and advise PhD students and experience working with diverse student populations and first-generation students is highly desirable. Service duties include program-building, as well as commitment to extra-curricular activities. Service to the department, college, and university is expected. Interested applicants should submit their application online at http://www.depts.ttu.edu/hr/workattexastech/ for requisition number 25321BR .  A complete application consists of a cover letter, curriculum vitae (CV), one-page statement of research interests, one-page statement of teaching interests, and up to three professional references . Ap plications will be accepted until October 28, 2021 . As an Equal Employment Opportunity/Affirmative Action employer, Texas Tech University is dedicated to the goal of building a culturally diverse faculty committed to teaching and working in a multicultural environment. We actively encourage applications from all those who can contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community at Texas Tech University. The university welcomes applications from minoritized candidates, women, veterans, persons with disabilities, and dual-career couples. Questions regarding this posting should be directed to: IMSE Faculty Search Committee Phone: 806-742-3543, E-mail: IMSE@ttu.edu
  • Nationwide, The Logistics Optimization Specialist is responsible for supply chain optimization projects (cross dock, mixing center, vendor optimization, warehouse location optimization, centralized fleet optimization, etc.). Motivated, self-starting, individual contributor, with the ability to identify business gaps and run those scenarios through various transportation optimization software suites. Ability to present discoveries to multiple levels of leadership and stakeholders on optimization outputs. Serves as subject matter modeling expert for the Logistics organization for model set-up parameters, distribution, and fleet considerations for profitable and operationally successful route design. Participates in operational reviews to determine route opportunities by market and region and any current route adjustments needed. Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES  • Work cross functionally to optimize logistics (Cross Dock Optimization, Mixing Center Analysis, Carrier Development Pricing Modeling Analysis, Vendor Analysis, Routing Re-Optimization, Mapping Optimization). • Collaboration and planning with Business Intelligence, IT departments, and other internal departments/stakeholders. • Review current business landscape to better optimize US Foods network.  • Identify business gaps and propose scenarios to leadership teams via the utilization of network optimization tools. • Improve Key supply chain performance metrics via the utilization of network optimization tools. • Identify any issues that may impact modeled loop output quality before validation and operational reviews occur with Logistics teams. • Support the design, implementation and tactical execution of Optimization Software (Ex. Llamasoft Supply Chain and Data Guru) to deliver optimized closed loop truck routes (Fully optimized front hauls and back hauls) for the USF Central Fleet team. • Partner with Central Fleet Logistics, supply chain stakeholders, and Field Transportation teams to understand equipment and dedicated driver capacities and constraints to incorporate into closed loop modeling parameters. QUALIFICATIONS Education/Training: • Masters in Operations Research or Industrial Engineering or related analytical field required Related Experience/Requirements: • 3+ years of industrial engineering, supply chain optimization and management, or logistics/transportation network strategy required. • 3+ years Transportation Optimization Software experience preferred. • LLamasoft Supply Chain Guru and Data Guru experience preferred. • Experience in logistics environment (transportation network strategy) preferred. • Supply chain planning, network optimization, forecasting, transportation, inventory management and warehousing knowledge or experience preferred. • Travel (10%). Knowledge/Skills/Abilities:   • In-depth understanding and experience with transportation route and/or supply chain network optimization software packages and principals is a must. • Knowledge of TMS (Transportation Management Solutions) preferred. • Ability to quickly learn and apply technical skills in a fast-paced environment preferred. • Highly motivated, self-starter with minimal supervision required. • Understanding of key supply chain performance levers (on-time delivery, freight cost and related components, inventory management, etc.) preferred • Strong database management and programming skills highly desired. • Exceptional written and oral communication skills a must.

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