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The Manufacturing and Service Operations Management Society (MSOM) promotes the enhancement and dissemination of knowledge, and the efficiency of industrial practice, related to the operations function in manufacturing and service enterprises. The methods which MSOM members apply in order to help the operations function add value to products and services are derived from a wide range of scientific fields, including operations research and management science, mathematics, economics, statistics, information systems and artificial intelligence. The members of MSOM include researchers, educators, consultants, practitioners and students, with backgrounds in these and other applied sciences.

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JOBS OF INTEREST TO MSOM

  • University Park, Pennsylvania, Assistant Professor of Supply Chain Management The Supply Chain and Information Systems (SC&IS) Department of the Smeal College of Business at The Pennsylvania State University (University Park, PA) invites applications for a tenure-track position in Supply Chain and Information Systems at the Assistant Professor level for a Fall 2022 start date. Salary is competitive. Candidates must have a doctorate degree (granted or completed by the appointment/start date) in supply chain management or related field. A strong commitment to research and teaching excellence is expected. Faculty members are expected to maintain an active research program, perform undergraduate and graduate teaching, supervise graduate students, and engage in service activities. The SC&IS Department comprises a vibrant, research-active faculty with research and teaching interests that traverse the end-to-end supply chain and includes business logistics, sourcing, manufacturing, and service operations. The department offers degree programs in supply chain management, management information systems, and business analytics. We seek outstanding candidates with expertise in sourcing, operations, and business analytics that would complement the faculty with high-quality research and teaching in student-centered and collaborative learning environments. The Smeal College of Business offers a collegial working environment and excellent campus facilities. It has the Center for Supply Chain Research® (www.smeal.psu.edu/cscr) which advances cutting-edge research and outreach in supply chain management. The SC&IS Department (www.smeal.psu.edu/scis ) also has strong connections with the business community through various research centers that provide opportunities to interface with faculty across various disciplines within Smeal and across Penn State. For more information, please visit: https://www.smeal.psu.edu/research-centers Review of applications will begin approximately February 18, 2021 and will continue until the position is filled. For further information, please contact Dawn Corman at drc18@psu.edu. Applicants should upload a letter of intent, a statement of research and teaching, and a CV. Contact information for three references also should be provided. The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission. Apply online at https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/University-Park-Campus/Assistant-Professor-of-Supply-Chain-Management_REQ_0000024377 CAMPUS SECURITY CRIME STATISTICS: For more about safety at Penn State, and to review the Annual Security Report which contains information about crime statistics and other safety and security matters, please go to http://www.police.psu.edu/clery/ , which will also provide you with detail on how to request a hard copy of the Annual Security Report. Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Copyright ©2021 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-327246cd6526d2498333ae535fea5f83
  • Fargo, North Dakota, Position Description and Responsibilities: The Industrial and Manufacturing Engineering (IME) Department at North Dakota State University (NDSU) invites applications for a (tenure-track) Assistant Professor position.  The successful candidate will be expected to: 1) establish a program of externally-funded research with an excellent record of scholarly publication, 2) teach undergraduate and graduate courses and supervise MS and PhD students, and 3) provide service to the university and its units, to the state and regional community, and to the appropriate professional organizations. We invite candidates in all areas of IME to apply, with preference given to candidates with:  at least one degree in industrial or manufacturing engineering, prior teaching experience, experience in operational research, machine learning, artificial intelligence, stochastic methods, statistics, systems modeling, and/or advanced analytical methods will be considered. Department:  The IME department has seven full-time faculty and over 170 students in programs leading to bachelor’s, master’s, and doctoral degrees.  The programs leading to the Bachelor of Science in Industrial Engineering and Management and the Bachelor of Science in Manufacturing Engineering degrees are accredited by the Engineering Accreditation Commission of ABET.  For more information regarding our department and programs see the department’s website:  https://www.ndsu.edu/ime/        University: NDSU has a land-grant mission of teaching, research, and service.  NDSU is an EEO/AA-MF/ Vet/ Disability employer, an ADVANCE institution, and a Carnegie Very High Research Activity Institution.   Qualifications: Earned a Ph.D. or be expected to complete their degree in industrial or manufacturing engineering or closely related discipline.  Must have excellent oral and written communication skills in English, have strong interest and potential to develop and conduct a sponsored research program, have credentials to teach a variety of courses in industrial and manufacturing engineering at both the undergraduate and graduate levels.  An interest and an ability to interact and collaborate effectively with a diversity of staff, colleagues and students and provide exceptional service to faculty, staff, students, and guests by fostering a professional and collaborative work environment is also required.
  • Winnipeg, Manitoba, Canada, Department of Supply Chain Management Vacancy Number: 31362 / 31363 / 31364 The Department of Supply Chain Management (SCM) at the Asper School of Business (http://umanitoba.ca/asper), University of Manitoba (http://www.umanitoba.ca ), invites applications for one or more tenure-track or tenured positions at the Assistant, Associate or Professor rank in Supply Chain Management with a strong preference for individuals engaged in research on supply chain management and related areas and who are prepared to teach graduate and undergraduate-level courses on topics such as supply chain management, logistics, transportation, purchasing and lean operations. The normal teaching load at the Asper school is four courses per year (usually 2 + 2+0 over the three academic terms). The starting date for this position is July 1, 2022, or as soon as possible thereafter. Salary and rank will be commensurate with qualifications and experience. The Asper School of Business is accredited by the AACSB and is the major business school in the province of Manitoba. The School offers undergraduate, MBA, a newly launched Professional Master of Supply Chain Management and Logistics (MSCM) (https://umanitoba.ca/explore/programs-ofstudy/master-supply-chain-management-and-logistics-mscm ), MFin, M.Sc., and Ph.D. degrees with a Ph.D. concentration in supply chain management scheduled to begin in September 2023. The Department of SCM was established July 1, 2004, bringing together experts in transportation, supply chain management, management science, and operations management, including the Director of the Transport Institute (https://umanitoba.ca/asper/transport-institute ). The Department of SCM and the Transport Institute share a joint mandate to become a Centre of Excellence in Logistics, Transportation, and Supply Chain Management. Duties include teaching at the undergraduate and graduate levels, graduate student supervision, the ability to establish or continue an already established externally funded research program, and service to the University and scholarly discipline. Candidates must have completed or have nearly completed a Ph.D. in a relevant discipline. This position requires strong research orientation and candidates should have a strong record of high-quality publications or a promising research potential to publish in top-tier supply chain management journals. Although not required, pertinent experience in industry will be considered an asset. To be considered at the Associate Professor and Professor Levels, candidates must have demonstrated a strong record of high-quality publications, strong leadership skills, evidence of graduate student supervision, and evidence of strong teaching in line with the Asper School of Business Promotion Guidelines. The University of Manitoba is located in Winnipeg, a cosmopolitan city with a population over 800,000.  Winnipeg, the capital of the Province of Manitoba, is a culturally diverse community known for its variety of summer and winter festivals. The city has all the facilities of a major urban centre, but with the atmosphere of a smaller, friendlier city. It provides a high quality of life at modest expense and offers access to some of the most beautiful lake country and recreational facilities in North America. For more information on the city of Winnipeg, visit www.tourismwinnipeg.com. Applicants are requested to submit the following materials, preferably via email as one PDF file attachment, by the application deadline of February 26, 2022. Reviewing of applications will commence on February 26, 2022 and will be ongoing as received. The position will remain open until we have the successful candidate. The complete application package must include: 1. Cover letter with a concise summary of qualifications and a personal statement of suitability for the position. 2. Complete curriculum vitae. 3. Research statement highlighting the applicant's most significant contributions and connecting these to the applicant's vision of success in the short-term, medium-term (~5 years) and long-term (career). 4. Statement of teaching philosophy and interests that documents the applicant's experience in, and approach to, training and mentoring diverse students. 5. Names and addresses of at least three (3) referees (reference letters will be requested from shortlisted candidates only). 6. Shortlisted candidates will be asked to provide a statement describing past, present or planned actions to promote equity, diversity, inclusion and reconciliation in the academic community (maximum two pages); and Applications should be delivered to Siobhan VanDeKeere email: Siobhan.VanDeKeere@umanitoba.ca referring to “Positions #31362 / 31363 / 31364” in the subject heading and addressed to the search committee: Dr. S.S.Appadoo, Professor & Head Dept. of Supply chain Management, Asper School of Business University of Manitoba The University of Manitoba is committed to the principles of equity, diversity & inclusion and to promoting opportunities in hiring, promotion and tenure (where applicable) for systemically marginalized groups who have been excluded from full participation at the University and the larger community including Indigenous Peoples, women, racialized persons, persons with disabilities and those who identify as 2SLGBTQIA+ (Two Spirit, lesbian, gay, bisexual, trans, questioning, intersex, asexual and other diverse sexual identities). All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. If you require accommodation supports during the recruitment process, please contact UM.Accommodation@umanitoba.ca or 204-474-7195. Please note this contact information is for accommodation reasons only. Application materials, including letters of reference, will be handled in accordance with the protection of privacy provision of The Freedom of Information and Protection of Privacy (Manitoba). Please note that curriculum vitae may be provided to participating members of the search process. Review of applications will begin on February 26, 2022 and will continue until the position is filled. The expected start-date for the successful applicant is July 1, 2022. All members of the University of Manitoba community are required to submit proof of COVID-19 vaccination. For more information, please visit the University of Manitoba COVID website https://umanitoba.ca/coronavirus .
  • Chicago, Illinois, At Nielsen we understand the importance of knowing what consumers Watch and Buy.  As the world’s largest research organization, Nielsen is powered by talented, creative scientists and researchers.  Our  Research & Analytic Development associates come from diverse disciplines that include business, economics, engineering, mathematics, operations research, physics, and statistics.  These professionals drive innovation and insight through continual ideation, complex analyses, and delivery of insights to our clients.  Because measurement is at the core of Nielsen's business, our products have high visibility and make a direct impact on our clients.   Our team in Chicago has an opportunity available for a Data Scientist.  The ideal candidate has work experience in the development of econometric models, expertise in modern analytics programming,  tested and deployed machine learning and artificial intelligence techniques, the capacity to work in an agile development environment alongside software engineers, and a solid foundation in developing solutions for marketing, pricing and/or advertising organizations.   Responsibilities Design econometric models, and supervised and unsupervised learning approaches Create various prototypes for research and development purposes Design, write and test modules for Nielsen analytics platforms using Python, R, SQL,  Spark, and AWS products Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy and StatsModels  Document and present methodology inside and outside the company Partner with our Software Engineering department to build best-of-class cloud-based analytical solutions Requirements Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study 2+ years work experience in delivering analytics software solutions in a production environment 2+ years work experience in quantitative marketing analysis, with an emphasis on statistical, econometric and predictive analytic research that drives analytic product Innovation and implementation Expertise in coding and testing of analytical modules using Python, SQL,  Spark, and AWS Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines Exceptional problem solving skills Excellent oral and written communication skills   Desired Experience with household/person-level loyalty card analytics Experience in marketing mix modeling with Nielsen or IRI syndicated data Experience with R, Scala  Short-release life-cycle experience (agile processes including scrum)
  • Arlington, Virginia, Do you enjoy taking large datasets and applying advanced analytics to solve complex business problems? Are you creative and forward thinking in applying problem solving techniques? If so, this may be the perfect opportunity for you. The Research and Insights Solution Center (RISC) is the chief data and research component of the OIG, comprised of data scientists, data analysts, geographic information system professionals, investigative analysts, researchers, and other business analysts. Our Analytics group offers the opportunity to drive value to the organization by designing, developing, and adapting mathematical, statistical, econometric, and other analytical solutions for our audit, investigation, research, and support functions. Our Analytics group is currently seeking an experienced data scientist who will provide expert-level advice in the area of data analytics to include machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods. Candidates will be evaluated on the skills that they possess that are directly related to the duties of the position and the experience, education and training that indicate the applicant's ability to acquire the particular knowledge and skills needed to perform the duties of the position. Only those candidates who meet all qualification and eligibility requirements and who submit the required information by 11:59 PM EST on 01/26/2022 will be considered. The USPS OIG uses a Pay Banding system, which is equivalent to the Federal GS scale. Grade and salary determinations will be made based upon a candidate's education and professional experience. This position is being advertised at the Specialist Band level, equivalent to a GS-14. The salary range for this position is $126,233.00 - $164,102.00. The salary figures include locality pay. Please note that the duties and responsibilities associated with this position may vary based upon the agency's needs at the time of hire. The following description of major duties and responsibilities is only intended to give applicants a general overview of the expectations. Leads projects using advanced analytics techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence, to include the research, design, development, deployment, and enhancement of enterprise-wide analytics solutions. Provides advice, guidance, and support to junior staff on advanced analytics, data access, data quality, data governance and storage, and related areas. Identifies key deficiencies in project requirements and/or proposed approaches or data access issues which are significant to the design, execution, and reporting out of advanced analytics projects. Uses expert level knowledge to utilize common data science tools, including scripted languages (such as R, Python, SQL, and JavaScript), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the-shelf tools and hardware-based capabilities. Researches, designs, and develops user-centric visualization solutions that provide business insights to decision makers using Microsoft Power BI and other tools. Develops and maintains effective working relationships with staff at the OIG and other agencies in order to share information and learn the latest developments in analytical tools and techniques to efficiently assist the OIG with mission-related work. Acts as a subject matter expert for data analytics as it pertains to both predictive and prescriptive analysis and ensure alignment with industry best practices. Conditions of Employment Must be a U.S. citizen Must be able to pass a drug screening and medical assessment questionnaire. Must be able to pass a background investigation Must be able to obtain and maintain Moderate Background Investigation security clearance Must be able to obtain and maintain a government-issued credit card May be required to successfully complete a 12-month probationary period Qualifications MINIMUM QUALIFICATIONS You must meet ALL of the minimum qualifications listed below. Bachelor's Degree from an accredited college or university. AND Must have at least 3 years of specialized experience in planning, developing, and executing complex projects using advanced analytics techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence. AND Experience in a Science Technology, Engineering or Mathematics (STEM) related field such as Data Analytics, Data Science, Computer Science, Mathematics Statistics, Operations Research, Economics or Quantitative Social Science. DESIRABLE QUALIFICATIONS Advanced Degree from an accredited college or university. Professional Certification(s) in a related field of data science and/or data analytics disciplines. EVALUATION FACTORS You must have the experience, knowledge and skills as listed in EACH of the evaluation factors. Failure to demonstrate that you meet all of the evaluation factor requirements as listed below will result in a score of zero (0); an ineligible status, and you will not be referred for further consideration. Include your major accomplishments relevant to the position requirements in your resume. Demonstrated mastery using advanced analytics techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence to plan, design, and execute complex analytics projects. Demonstrated mastery of scripted languages (such as R, Python, SQL, and JavaScript). Demonstrate ability to communicate effectively, both orally and in writing, complex business, and technical information. Demonstrated mastery of visualization and business intelligence tools to create and derive insights for stakeholders. You will no longer be considered for this position if you receive a  zero (0)  rating on any evaluation factor. Failure to demonstrate that you meet all evaluation factor requirements will result in a score of  zero (0) . Upon receipt of a zero score, you will be deemed "not minimally qualified," and you will not be referred for further consideration. The USPS OIG uses a Pay Banding system, which is equivalent to the Federal GS scale. Grade and salary determinations will be made based upon a candidate's education and professional experience. This position is being advertised at the Specialist Band level, equivalent to a GS-14. The salary range for this position is $126,233.00 - $164,102.00. The salary figures include locality pay.

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