The INFORMS Information Systems Society seeks to foster, promote, and disseminate research on the use and impact of information technology in organizations. It provides a forum for researchers and practitioners in information systems to interact and further their interests in the area. One of the goals of the society is to encourage interdisciplinary research by leveraging connections between other societies and colleges within the INFORMS environment.

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  • Lincoln, Nebraska, The University of Nebraska-Lincoln seeks a faculty member at the assistant or associate professor level in Agricultural Sensing and Internet-of-Things (IoT) Systems. Food is a universal need and computing is playing an ever-increasing role in all aspects of food creation and consumption. Successfully impacting the food chain will require measurement of characteristics of plants and animals. Seed-to-table/calf-to-table sensing and data analysis can capture and correlate data over time and space to improve the safety of the food supply, enhance end-user satisfaction, and improve the efficiency of the food supply chain. Nebraska’s leading position in agriculture provides important interdisciplinary opportunities at the intersection of IoT, field robotics, and agriculture. This position is motivated by the department’s strategic plan to develop top programs in Agricultural IoT (Ag-IoT) and field robotics. This goal builds upon the department’s existing strengths in communications and networking, robotics, embedded computing, data analytics, and software engineering.   As part of this initiative, the School of Computing ( http://computing.unl.edu ) invites applications for a tenure-track faculty position at the Assistant or Associate Professor level. The successful candidate will contribute to the undergraduate and graduate academic programs within the department and demonstrate a commitment to excellence in both research and teaching. The Department of Computer Science and Engineering consists of 45 faculty, 900 undergraduate students, and 125 graduate students. UNL offers an outstanding infrastructure for conducting research, including a remotely accessible city-wide wireless testbed, indoor and outdoor aerial robotics facilities, access to farm test plots, a full range of computing facilities, and the Holland Computing Center ( http://hcc.unl.edu ). Opportunities for collaborations include the College of Engineering and the Institute of Agriculture and Natural Resources. Applicants are expected to have a Ph.D. or equivalent in computer science, computer engineering, or a closely related field. Applicants must have a record of strong scholarly achievement and a demonstrated commitment to excellence in undergraduate and graduate education. Candidates at the assistant professor level must have the potential to establish a strong externally funded research program, while candidates at the associate professor level are expected to have an outstanding publication record, a history of funded research, and a strong national/international reputation in the areas of sensing, field robotics, and/or IoT systems with an interest in agricultural applications. Candidates must demonstrate a commitment to contributing to a culture that supports diversity and inclusion. Candidates with demonstrated cross-disciplinary research experience are particularly encouraged to apply. Applications must be submitted via  https://employment.unl.edu , requisition F_210151. Complete applications will include a cover letter; CV; research, teaching and diversity statements; and a list of three references. Note, please combine teaching, research and diversity statements into a single pdf document and attach as “Other Document.” Applicants are strongly encouraged to review the rubrics used by our search committees to evaluate candidate statements:  https://engineering.unl.edu/candidate-statements . After review of applications begins, those with any missing required statement may not be given full consideration. Review of application materials began December 1, 2021 and will continue until the position is filled. As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See  http://www.unl.edu/equity/notice-nondiscrimination .
  • San Francisco, California, About the Role The Product Analytics Team at Gap Inc. is a research team that applies techniques from operations research and machine learning to drive business benefits for Gap Inc. and its brands. The team’s focus is creating analytical capabilities to support product operations at Gap Inc.  Areas of expertise include demand forecasting, inventory replenishment, inventory and supply chain optimization, pricing, product testing, product attributes, flexible inventory and supply chain initiatives Build, validate, and maintain Operations Research (OR) and/or AI( Machine Learning (ML) /Deep learning), models Work with large quantities of data in scripting languages Synthesize findings, prepare presentations and assist in presenting findings to all levels of management Provide framework/methodology for measurement and feedback mechanism for models Collaborate within the team and outside the team to solve a complex problem option 1: PhD in Operations Research, Operations Management, Statistics, Math, Computer Science, Industrial Engineering or related field preferred  option 2: Masters degree in one of the fields noted above + minimum 3 years of relevant work experience. Proven experience in areas of optimization, statistics, machine learning, and inventory theory Ability to develop and apply analytic solutions to solve business problems Skills to collaborate with cross-functional teams and influence product and analytics roadmap Hands-on experience with data analysis, statistical, optimization and simulation packages (SQL, Python, SAS, Tensorflow, Hive, etc) 
  • Cupertino, California, Location: Cupertino, CA   Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future at Apple by developing an extraordinary platform for our Operations team?   Apple is a data-centric company where many critical decisions are made based on data. The completeness, accuracy and timeliness of data has huge implication to our decision-making. Every shipped Apple product undergoes rigorous testing at our factories to ensure the best customer experience. Our team handles the collection and reporting of all manufacturing data.   Machine Learning Algorithm Engineer Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. We’re looking for experienced machine learning professionals to help us revolutionize how we manufacture Apple’s amazing products. Put your experience to work in this highly visible role.   Responsibilities:   Collaborate with fellow ML engineers, robotics/automation specialists, manufacturing and product development engineers to apply Machine Learning solutions to industrial problems and situations Work with other ML engineer and program manager, analyze huge amounts of real-world production data to formulate the problem, propose modeling solutions. Your solution can be traditional ML (regression, classification) and/or Deep Learning . Prototype and package your solutions in Python and/or C/C++/Objective-C towards roll-out of a data automation system Participate Apple’s ML community activities and share your findings/innovations Research and improve existing ML algorithms for various applications (images, and/or non-image ML algorithms )   Requirements:   You are encouraged to apply if you meet one of the below three requirements Good knowledge and hands-on experience in image ML and computer vision Good knowledge and hands-on experience in traditional ML (regression, classification, tree-ensembles, etc) for non-image data Operation Research experts with some understanding of ML. Strong software development skills with proficiency in Python, familiar with Git. Experienced user of machine learning and statistical-analysis libraries, such as scikit-learn, scipy, NetworkX, Spacy, and NLTK Hands-on experience with design, implementation and application of ML/AI/Deep Learning solutions and techniques to build models that solve real problems. Strong in communication and presentation skill. [Plus] Experience of applying ML to industrial or manufacturing environments is a plus. [Plus] Experience applying deep learning frameworks, such as PyTorch/Torch, Caffe2, TensorFlow, Keras, Theano to real world applications that solve problems   Data Scientist DFM    Apple products are as beautiful on the inside as they are on the outside. Inside every one of our products, are some of the world's most challenging consumer PCBA and Flex designs. Come join the team that brings these assemblies from concept to high volume manufacturing. As a DFM Data Scientist you will drive and lead business insights, presenting concisely data findings to peers, managers, directors, and VPs Experience developing and deploying Manufacturing data and automation tools for quality and efficiency improvements of factories/suppliers Lead projects or project team to understand business objectives and propose impactful solutions. You should have familiarity in one of the following: Data science, Data mining, Multivariate statistics, Machine learning, or Computer Vision 3+ years of process development experience in an applicable field (SMT, component assembly, test) Experience in data mining very large data sets, high proficiency in SQL (Teradata, SQL, Oracle, or MySQL or other RDBMS.) Data visualization experience with tools such as: Tableau, JMP, R creating dashboards and presenting data through reports. Capability and willingness to travel, i.e. >10%. Description This is a key position for our Design for Manufacturing team that is a focal point for analyzing design and factory data to develop an accurate statistical model to help make significant decisions regarding design decision, cost reduction, and factory efficiency.   This engineer will also help identify new perspectives for old and new data and present meaningful data visualization across various involved teams. Individual will find opportunities to develop tools that will improve the work flow and efficiency of the engineering department.   You will: • Work with a multi-functional team to define requirements and suitable metrics for the performance of new products and process • Drive and deliver results as well as to self-manage in a pure development role • Experiment design, analyze data and build analysis tools • Use your excellent analytical skills, advanced level of statistics to identify and predict trends and anomalies • Employ statistical techniques with big data initiatives and tools to drive major operational business decisions • Seek opportunities to improve data collection, reporting, analytics and consumption based on business   Manufacturing Decision Support  Operations Research Scientist  The iPhone Capacity Planning team is a high impact and well valued team. From capital equipment planning, business allocation, production line planning to labor planning, the outcome of this team’s work influences key inputs for multi-billion dollar budgets and navigates complex operational challenges by working closely with supply demand planning, operation/technical program management, CapEx management, quality, infrastructure, AppleCare, procurement and our contract manufacturing partners. On a day to day basis the team plays a meaningful role in defining and leading strategic and operational priorities as well as improvements across the iPhone and Core Technologies organization. The ideal candidate will help us to go further into the areas of deep data analytics and operations research in order to drive decision support. Responsibilities: Experience planning supply chain and operational structures in complex and dynamic environment. Hands-on experience in complex data modeling, simulation and optimization. Experience in developing solutions for open ended projects with multi-cross functional teams, preferably in the context of factory operations Experience with data acquisition tools, large datasets and data mining Experience in relevant coding languages: C/C++, R, or Python Solid understanding of optimization tools such as: CPLEX, AMPL, Gurobi or FICO Xpress. Working knowledge of predictive modeling Self-sufficient with an ability to excel in an environment of autonomy amidst ambiguity. Identify areas within operations that would benefit from your analysis and feedback. Strong communication and analytical skills - adept at messaging domain and technical content, at a level appropriate for the audience. Requirements Data analytics — taking tons of data and helping build out or select tools to analyze production, capacity, lead times, cost structures, etc. Data modeling, simulations or optimization tools like Gurobi, Cplex or Xpress Programming experience with Java, C++, Python or Perl Excellent communication skills, both verbal and written
  • Champaign, Illinois, The School of Information Sciences (iSchool) at the University of Illinois invites applications for full-time, tenure-track faculty positions at all ranks. We especially welcome applications in the broad areas of  data science and artificial intelligence (AI) , including but not limited to:    trustworthy AI, explainable AI, automated methods that support the FAIR principles (findable, accessible, interoperable, and reusable) and / or FATE (fairness, accountability, transparency, and ethics) human-AI interaction machine learning (e.g., deep learning) knowledge representation natural language processing domain informed data science data / text mining, graph mining network science  data ethics data storytelling  data curation     In particular, we welcome candidates who can demonstrate broader impacts in areas such as public health, agriculture, social media, misinformation, economics, history of science, science of science, bioinformatics, sociotechnical information systems, and library science. Exceptional candidates in any area of information science, and particularly those with demonstrable commitments to a more inclusive society, are strongly encouraged to apply.   The University of Illinois is an Equal Opportunity, Affirmative Action employer that recruits and hires qualified candidates without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status. For more information, visit http://go.illinois.edu/EEO .   We seek applicants who will thrive in an interdisciplinary academic unit at one of the nation’s premier land-grant research universities. Successful candidates must exhibit the potential to conduct world-class research, teach effectively in undergraduate, professional, and doctoral programs, and contribute to our mission of advancing diversity, equity, and inclusion.   At the iSchool at Illinois, we employ methods from across the disciplines to grapple with society’s most urgent challenges related to information, its practices, and technologies. Our faculty are global experts in areas as diverse as AI, children’s books and network science.    The iSchool at Illinois is home to the oldest LIS doctoral program in the country and the top-ranked professional master’s program in library and information science. We also offer professional master’s programs in information management and bioinformatics, a licensure program in school librarianship, as well as an interdisciplinary, STEM-designated undergraduate degree in information sciences. More information can be found at:  http://ischool.illinois.edu/ . To apply, please create a candidate profile at  https://jobs.illinois.edu/  and upload a cover letter discussing your interest in and suitability for this position, CV, statements of research and teaching, and the contact information of three references.    Full consideration is guaranteed for all applications received by December 1, 2021, but we strongly encourage candidates to apply even after this date. Interviews may take place and offers may be made before the search is closed. Applications will continue to be reviewed until qualified candidates have been identified for all openings.  Salary is commensurate with qualifications and experience. The preferred starting date is August 16, 2022. Applicants must hold a Ph.D. by the time of appointment. For further information, please e-mail  ischool-hr@illinois.edu .   More information about the University of Illinois and the local community may be found here:   Work-Life Balance and Family-Friendly Programs   About the University   University of Illinois faculty, staff and students are required to be fully vaccinated against COVID-19. If you are not able to receive the vaccine for medical or religious reasons, you may seek approval for an exemption in accordance with applicable University processes.   The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer. Convictions are not a bar to employment. As a qualifying federal contractor, the University of Illinois System  uses E-Verify  to verify  employment eligibility . The University of Illinois System requires candidates selected for hire to disclose any documented finding of sexual misconduct or sexual harassment and to authorize inquiries to current and former employers regarding findings of sexual misconduct or sexual harassment. For more information, visit Policy on Consideration of Sexual Misconduct in Prior Employment .
  • Dallas, Texas, Process Assurance Senior Associate (Multiple Positions), PricewaterhouseCoopers LLP, Dallas, TX. Work with clients to enhance internal audit functions by applying Enterprise Risk Management concepts to identify, assess, mitigate, and proactively consider emerging risks. Increase value and reduce costs of compliance related activities. Reduce company costs through strategic internal audit outsourcing and co-sourcing solutions. Conduct technical IT controls reviews, including database, operating system, data warehouse and reporting tools. Assisting clients in leveraging technology investments to help establish, optimize, and sustain a real-time controls environment at an enterprise level. Demonstrate in-depth technical expertise. Pursue business development opportunities. Establish and maintain client relationships, and understand business needs and common industry issues facing clients. Supervise employees with varied skillsets and diverse backgrounds.   40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.   MINIMUM REQUIREMENTS :   Must have a Bachelor’s degree or foreign equivalent in Accounting, Business Administration, Finance, Computer Science, Engineering, or a related field, plus three (3) years of related work experience; OR a Master’s degree or foreign equivalent in Accounting, Business Administration, Finance, Computer Science, Engineering, or a related field, plus one (1) year of related experience.   Must have at least one year of experience with each of the following:   -      Working in the areas of IT auditing, consulting and/or implementing related to business process and IT management controls;   -      Leading IT related controls assurance or controls readiness projects associated with external audits, internal audits and service organization controls report;   -      Implementing COSO framework, CoBIT, ITIL or IT control frameworks;   -      Leveraging current and emerging technologies, such as: Oracle Database, SAP, Oracle, web development tools, virtualization, UNIX, Linux, and security technologies; and   -      Managing and coaching staff as they perform assessments to evaluate controls, security, SOD, and execute audit procedures.   Travel up to 60% required.   Please apply by mail, referencing Job Code TX3188 , Attn: HR SSC/Talent Management, 4040 West Boy Scout Boulevard, Tampa, FL 33607.

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