The College on Organization Science brings together scholars and practitioners interested in organizational behavior, organization theory, and strategic management. Its goal is to further the theoretical understanding of organizations, and help put theory into practice.


  • Taunton, Massachusetts, This Resource Analyst will be responsible for: Researching and developing new rate structures that would be attractive to TMLP’s customers. Performing and monitoring Cost of Service results and identify trends, anomalies and suggest ways to react to changes over time. Developing modeling techniques to perform adequate probabilities and risk management analyses in assessing power supply strategies; concentrating on power supply, fuel, emissions, and ISO market power. Monitoring generator unit’s actual performance as related to the bid and actual cost. Providing feedback to TMLP’s Power Production department in the areas of bid/cost data, unit operation data, and emissions consumption. Assisting in the procurement of resources related to TMLP’s power supply, natural gas, oil, power, emissions and electricity products. Monitoring, analyzing, and verifying prices of units for resources procured. Developing strategies for optimization of resources, which fit within the ISO/TMLP framework. Performing data acquisition, data reporting, and chart/graph creation, Develop reporting templates for both demand and supply. Analyzing historical demand and develop forecasts for solar and hourly load. Validating key assumptions using real-time market data and track performance; research conflicting theories and present quantitative results. Use metrics to improve performance and understand bias. Participating in regular market assessments and environmental trends with potential to affect our customer base and our growth strategies. Assist Lead Analyst with regulatory compliance matters required by the North American Electric Reliability Organization. Perform other duties as required. Bachelor of Science Degree in Engineering, Economics, Finance, or equivalent is required. A Post-Graduate Degree is preferred.  Strong fundamental understanding of the New England power markets. Minimum of 2 years of professional experience in a corporate setting, preferably in the power/utility/fuel or similar utility/industrial work is required. This position requires strong analytical and communication skills and a willingness to develop an in-depth understanding of the energy markets.  The successful candidate will also be required to carry a cell phone 24 hours per day, seven days per week and possess a valid Driver’s License.
  • Reston, Virginia, The Perduco Group/LinQuest Corporation is seeking an Operations Research Analyst to join our team in Reston, VA. The selected individual will serve on an analysis team of operations research analysts, operational military subject matter experts, and threat subject matter experts. The analysis team is responsible for developing new analytic processes to leverage emerging modeling and simulation capabilities. Responsibilities: Construct studies for senior-level military decision makers, technology developers, and acquisition professionals for use in concept of operations development, force structure design, resource allocation, and targeted technology insertion. Collect, categorize, maintain, and analyze data using a range of quantitative techniques. Perform analysis to address specific questions, problem statements, or objectives. Apply operations research and statistical techniques across a range of military functions. Define problems, identify performance measures, and perform gap and root cause analysis. Required Skills:  Development of models and simulations - proficiency with AFSIM, ITASE, NGTS, or other mission/campaign simulation environments Scripting language programming Application of operations research techniques Design of experiments  Ability to think creatively and function as part of a high-performance team   Preferred Skills: Database query languages Ability to coordinate with government managers and decision makers to identify and solve a variety of problems and to clarify objectives Understanding of military operations, planning, and analysis approaches Required Experience:  Bachelor’s degree At least 5 years of relevant experience Must have an active Top Secret clearance to be considered   Preferred Experience: 10+ years of relevant experience Master’s degree in operations research or other quantitative discipline.
  • University Park, Pennsylvania, The Pennsylvania State University Director, Artificial Intelligence Initiative The Pennsylvania State University seeks a visionary and exceptionally collaborative leader to serve as the inaugural director of its Artificial Intelligence Initiative. Applications, inquiries, and nominations are invited. Penn State is continuing to develop broadly interdisciplinary capabilities in artificial intelligence (AI), where researchers are tackling exceptionally difficult challenges, ranging from fundamental research to application, and within a research environment known for interdisciplinary excellence. Penn State has created a culture of collaboration that is unrivaled, one that motivates novel team science for innovation and impact. Penn State's strong multi-disciplinary research base in artificial intelligence spans machine learning and expert systems, computational social science, and policy, covering the gamut of fundamental discoveries to translational applications. Penn State's current application areas include radiation oncology, protein translation, human disorders, ethics, transportation, energy, cyber, national security, and more. The opportunity to develop solutions for societal challenges are unbounded. The director will catalyze university-wide interdisciplinary research for innovation in the broad area of artificial intelligence. The faculty seek a colleague who will connect investigators from diverse backgrounds and unite them in pursuing novel research directions, which will simultaneously advance the field of AI research while increasing recognition of Penn State as a leading university in AI. The new director will help define and create a national identity for interdisciplinary AI research excellence at Penn State and strengthen its reputation. The selected candidate will have the opportunity to engage with donors, sponsors, and outreach activities to grow AI at Penn State more broadly. The AI director will report to the director of the Institute for Computational and Data Sciences (ICDS) with a secondary reporting relationship to the director of the Social Sciences Research Institute (SSRI), recognizing that AI impacts people, and therefore, that the human dimension of AI should be central to AI research and innovations. Additional oversight will be provided by the Senior Vice President for Research to whom the ICDS and SSRI directors report. This structure will provide the director with administrative and staff support from within the Institutes, and allow the Initiative to have visibility at the highest levels within the University. It also provides a unique opportunity to create programs and research directions at the boundaries of disciplines, capturing diverse perspectives and ensuring the benefits of AI reach across all aspects of society. Penn State consistently ranks among the nation's top 25 public research universities, with fiscal year 2020 research expenditures exceeding $1 billion. Penn State is a public, land grant, research-intensive university with campuses and facilities throughout Pennsylvania. Founded in 1855, the University has a threefold mission of teaching, research, and public service. Its instructional mission includes undergraduate, graduate, professional, and continuing education offered through resident instruction and online delivery. Annual enrollment at its 24 campuses totals more than 100,000 graduate and undergraduate students, making it one of the largest universities in the United States. The future director will possess broad intellectual capacities, strong scholarly credentials, leadership expertise and experience, and exceptional communication and interpersonal skills to actualize a compelling vision and plan for the future of AI research at Penn State. The successful candidate will have a Ph.D. in data science, information technology, computer science, engineering, mathematics, or closely related fields. Candidates from other fields and or professional backgrounds (e.g. government, industry) with relevant academic credentials and substantial experience and technical expertise in AI will also be considered. U.S. citizenship is required. WittKieffer is assisting Penn State in this search. All applications, nominations, and inquiries are invited. Applications should include, as separate documents, a CV or resume and a letter of interest addressing the themes in the leadership profile, which can be found at http://www.wittkieffer.com . For fullest consideration, candidate materials should be received by May 28, 2021 and submitted using WittKieffer's candidate portal. Please direct nominations and inquiries to the WittKieffer consultants supporting this search: Suzanne Teer and Jessica Herrington at PennStateAIDirector@wittkieffer.com 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. Employment with the University will require successful completion of background check(s) in accordance with University policies. Copyright ©2017 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-bd758640576eb5409255e0d601975677
  • Singapore, Singapore, Tenure-Track and Educator Track Positions in Information Systems and Analytics The Department of Information Systems and Analytics at National University of Singapore is one of the few departments in the world that offers a comprehensive suite of Information Systems and analytics academic and professional degree programs from undergraduate to PhD level. It has about 20 tenure-track faculty members, who received training from different disciplines and renowned global institutions. The diversity of our faculty members has allowed the department to pursue a wide variety of research topics using behavioural (both quantitative and qualitative), economics / econometrics, and design science / business technical / computational research paradigms. National University of Singapore is currently ranked 4th in the 2021 QS World University Ranking exercise for Computer Science and Information Systems .  The Department of Information Systems and Analytics is also ranked among the top 10 universities based on publications in the top IS journals. Besides offering a very competitive pay package and large start-up research grants, the department also provides an extremely collegial and research-conducive environment for faculty professional development. Research and Teaching Specializations preferred: Big Data Analytics Design Science / Technical IS Financial Technology   We will be doing zoom interviewing at the soonest possible Rank(s) and number of tenure-track positions available: (3) Rank Open Rank(s) and number of educator-track positions available: (3) Rank Open Desired Starting Date: Fall, 2021 Application Deadline: April 30, 2021 Application Details: Please submit your applications with the following documents (in a single PDF) online via https://isrec.comp.nus.edu.sg A cover letter that indicates the position applied for and the main research / teaching interests Curriculum Vitae A teaching statement A research statement One research paper Provide the contact information of 3 referees when submitting your online application, or,  arrange for at least 3 references to be e-mailed directly to is rec@comp.nus.edu.sg Individual in-charge of recruiting: Professor TEO Hock Hai (Search Chair) Email Address: teohh@comp.nus.edu.sg and isrec@comp.nus.edu.sg
  • Philadelphia, Pennsylvania,   Assistant Professor of Business Intelligence & Analytics Saint Joseph’s University The Department of Decision and System Sciences in the Erivan K. Haub School of Business at Saint Joseph's University is currently recruiting for a tenure-track position for fall 2021 in the area of Business Analytics at the Assistant Professor level.  We seek candidates who have evidence of teaching excellence with an interest in teaching in one or more areas of Business Analytics (Machine Learning/Artificial Intelligence, Predictive Analytics, Supply Chain Management, and Data Visualization).  Candidates must also demonstrate potential for high-quality applied research agenda with evidence of scholarly publication, and desire to serve the SJU community.  Applicants must hold a Ph.D. (or expect to complete their degree before fall 2021) with an emphasis in Machine Learning/Artificial Intelligence, Predictive Analytics, Supply Chain Management, Operations Research, or a closely related discipline from an accredited institution.  Prior industry experience in these areas is valued.  Saint Joseph’s University is located on the western border of Philadelphia, its campus residing in both the city and the suburb of Lower Merion.  This unique location combines the best of dynamic Philadelphia with the residential setting of the elegant Main Line.  The Erivan K. Haub School of Business is AACSB-accredited and the Decision and System Sciences Department offers nationally-ranked undergraduate, graduate, and online programs in Business Intelligence & Analytics, as well as in Machine Learning.  More information about the department is available at: https://sites.sju.edu/dss/ . Salary is competitive and commensurate with qualifications.  Review of applications will begin immediately and continue until the position is filled.  All applications must be submitted online at https://jobs.sju.edu .  Completed applications must include a personal statement, curriculum vitae, statement of teaching and research philosophy, evidence of teaching effectiveness, and contact information for three references.  If you have any questions about this position, please email John Yi, the search chair, at jyi@sju.edu . Saint Joseph’s University is a private, Catholic, Jesuit institution and expects members of its community to be knowledgeable about its mission and to make a positive contribution to that mission. Saint Joseph’s University is an equal opportunity employer that seeks to recruit, develop, and retain a talented and diverse workforce. EOE M/F/D/V


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