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.


  • Nationwide, Kennesaw State University is now accepting applications for a twelve-month, tenured Professor and Chair of the Department of Economics, Finance and Quantitative Analysis, beginning July 1, 2022. The Chair of the Economics, Finance and Quantitative Analysis Department (EFQA Chair) is required to implement the departmental strategic plan, to manage and allocate resources, to oversee the department’s budget, to facilitate all departmental activities and to provide leadership toward the achievement of excellence in teaching, research, and service activities of the department. The EFQA Chair is responsible for overseeing student development and for communicating with all constituents in a respectful and collegial manner. The EFQA Chair will work closely with other academic department chairs, the Dean of the College, the Provost, and other administrative unit directors in achieving the University’s strategic goals. An earned doctorate in Economics, Finance, Quantitative Analysis, or closely related field from an accredited institution, or its foreign equivalent is required. Candidates must provide evidence of effective teaching and research in the areas of Economics, Finance or Quantitative Analysis that merits appointment as a full professor with tenure in the Economics, Finance Quantitative Analysis Department. The successful candidate must have strong interpersonal skills and be able to demonstrate an ability to perform necessary administrative tasks (which could be demonstrated by professional experience). For more than 50 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community. Offering campuses in Marietta and Kennesaw, the university is located just north of Atlanta and combines a suburban setting with access to one of the country’s most dynamic cities. As Georgia’s third-largest university, Kennesaw State offers more than 100 undergraduate and graduate degrees, including a growing number of doctoral programs. Designated by the Board of Regents of the University System of Georgia as a comprehensive    university, Kennesaw State is committed to becoming a world-class academic institution positioned to broaden its academic and research missions and expand its scope on a local, regional and national level. For a full description of this position, application deadlines, and application procedures, visit   https://hr.kennesaw.edu/careers.php . Kennesaw State University, a member of the University System of Georgia, is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of age, color, disability, national origin, race, religion, sex, sexual orientation, and/or veteran status. Georgia is an Open Records state.
  • Bogota, Colombia, Full-time Faculty Positions in Industrial Engineering, Electrical Engineering and Applied Mathematics and Computer Science The School of Engineering, Science and Technology at Universidad del Rosario in Bogotá – Colombia – is opening multiple Assistant Professor positions in Industrial Engineering and Electrical Engineering. One position is also open to hire a professor to coordinate our undergraduate program in Applied Mathematics and Computer Science. Successful candidates should hold a Ph.D. degree in Engineering, Applied Mathematics, Computer Science, or related fields, have teaching experience, and conduct research in one or more of the following fields or related areas: -Logistics -Digital transformation -Decision Sciences and finance -Organizational transformation -Industry 4.0 -Service industry - Telecommunications - Embedded and Cyber-physical systems - Communication networks - Internet of Things -Cyber Security -Computer Graphics  -Information Security -Cyber Security - Systems - Software (enterprise, web, mobile) development - Data Science - Artificial Intelligence - Machine Learning - Data Analytics Other related areas will be considered. We are looking for candidates with a strong international background and experience in research as well as teaching at the undergraduate and graduate levels. Successful candidates will be expected to take part in academic and administrative tasks pertaining to the construction and development of new undergraduate and graduate programs. We look for highly motivated candidates with a will to generate impact through teaching, research and projects in collaboration with external partners. Certified fluency in English and Spanish is required, equivalent to the B2 level in the European Common Framework. Universidad del Rosario ( www.urosario.edu.co ), founded in 1653, is ranked Top 40 by the QS LATAM ranking and with more than 13.000 students, is one of the oldest and most recognized private academic institutions in Colombia. Universidad del Rosario is committed to provide a solid scientific, humanistic, and ethical education to its students by relying on outstanding academic staff and teaching excellence.  Application documents should be written in English and include: Cover letter (1 page) Curriculum Vitae (max 5 pages) Research statement (1 page) Teaching statement (1 page) Three references with contact information Documents can be sent in electronic form (as pdf files) to ict@urosario.edu.co . Expected starting dates are January 2022 and July 2022 , depending on the applicant’s availability. Applications are due by Nov 15 th , 2021.
  • San Antonio, Texas, The University of Texas at San Antonio Department of Management Science and Statistics Tenure-Track Positions in Artificial Intelligence and Statistics and Modeling and Big Data at the rank of Assistant Professor The University of Texas at San Antonio Department of Management Science and Statistics invites applicants for two tenure-track assistant professor positions: one in Artificial Intelligence and Statistics, and one in Modeling and Big Data beginning Fall 2022. These positions will support the department's need by supporting numerous college-wide and university programs in the analytics area - such as MS Data Analytics, and MS Artificial Intelligence. These positions align with both department and college goals to support multidisciplinary programming and collaboration with the School of Data Science. The department's own degree programs in Statistics & Data Science, along with the new BBA Business Analytics degree program are in need of faculty with strong statistical/analytics training. We encourage applicants with an earned (or expected by the fall semester of 2022) Ph.D. in Statistics, Biostatistics, Data Science, Business Analytics, or a closely related area from an accredited university with strong potential for engaging in high-quality research in statistical learning and statistical modeling for Big Data problems to publish in high-quality journals to apply. We are particularly seeking applicants with expertise in one or more of the following areas: statistical computation, Bayesian learning and probabilistic reasoning, deep learning, and predictive modeling for the Artificial Intelligence and Statistics position; and multilevel or hierarchical modeling, causal inference, high-dimensional inference, dimension reduction, cloud-based scalable and distributed inference, and robust inference for the Modeling and Big Data position. Preferences will be given to the applicants with experiences and good potential for getting external funding for research projects; and those with strong interests in interdisciplinary collaborations with researchers from other departments within the college (e.g., Marketing, Information Systems and Cyber Securities, etc.), departments from other colleges (e.g., Public Health, Science, Engineering, etc.), and other universities (such as UT Health Science at San Antonio). Full information on these two positions can be found here for the Modeling and Big Data position, and here for the Artificial Intelligence and Statistics position. Applicants must submit their full application package via UTSA job website which is located at https://jobs.utsa.edu/ . Applications will be accepted until the positions are filled. However, to ensure full consideration, applicants should submit their application materials no later than November 15, 2021. Applicants who are selected for interviews must be able to show proof that they will be eligible and qualified to work in the United States by the time of hire. UTSA is an Affirmative Action/Equal Employment Opportunity Employer. Women, minorities, veterans, and individuals with disabilities are encouraged to apply. Additional information about UTSA, the Carlos Alvarez College of Business, and the Department of Management Science and Statistics can be found at the following websites: http://www.utsa.edu/ , https://business.utsa.edu/ , https://business.utsa.edu/management-science-statistics/ . Copyright ©2021 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-36cf9e785799204689e55d8e4dd05289
  • Alexandria, Virginia, Effective October 11, 2021, all current and newly hired IDA employees must be fully vaccinated against COVID-19 unless they have been granted a medical or religious exemption.  Individuals who accept employment with IDA will be required to provide proof that they are fully vaccinated or receive approval for a medical or religious accommodation prior to starting employment.   Overview The Institute for Defense Analyses (IDA) is a not-for-profit corporation that operates three Federally Funded Research Centers (FFRDCs). IDA’s Systems and Analyses Center is located in Alexandria, Virginia and is comprised of eight research divisions providing objective analyses of national security issues, particularly those requiring scientific and technical expertise, and conducts related research on other national challenges.  The IDA Data Science Fellowship provides recent graduates a unique opportunity to develop and apply data science skills to important issues in national security.  Data Science Fellows will investigate the ways machine learning, artificial intelligence, statistics, and big data methodologies contribute to national security and gain experience developing advanced data science tools They will use their critical thinking and analytic skills to work on challenging real-world national security issues.  In a collaborative team environment, Fellows perform data manipulation and statistical, econometric, predictive, descriptive, and other quantitative analyses to answer national security-related research questions. Fellows should expect to learn while creatively contributing to interdisciplinary project teams. Fellows will have an opportunity to work research questions in areas such as: Appraisal of current DoD investments in a broad range of areas: from human factors to autonomous systems, from materials science to nuclear weapons effects, from social behaviors to quantum computing; Analyze and research questions on DoD personnel, military readiness and efficacy, and organizational efficiency topics. Assessment of federal agency information and computing architectures that support data science applications (i.e., large, distributed data sets and computational assets); Application of data exploration, text analytics, forecasting, statistical inference, simulation to areas of military personnel, manpower, and acquisition of DOD weapon systems. Over the course of the three-year program, fellowship experiences will include: Involvement in workshops and discussions on relevant topics Mentorship from members of the IDA research staff Training on specific analytical methods and tools Attendance and presentation at select professional society meetings Qualifications This is a full time position and is only open to recent recipients of a bachelor’s or master’s degree. Candidates with degrees higher than a master’s degree will not be considered. Candidate with recent Bachelor’s degree or Masters’ degree in economics, statistics, operations research, mathematics, physics, computer science, data science, or related disciplines with a strong foundation in statistics and/or applied mathematics are encouraged to apply. Candidates must demonstrate experience with one or more programming language or statistical software used in research (e.g., Python, R, Julia, Stata, MATLAB, C, Java, etc.) Candidates must demonstrate strong written and oral communication skills. Ideal candidates are able to contribute to and support team efforts. Additional preferred skills include: Training and/or experience in quantitative or qualitative information collection, data normalization, and text analytics Experience as a research assistant in an academic or policy research setting Experience or coursework in Bayesian statistics, machine learning, predictive analytics, and/or geospatial analyses Experience with GPU, high-throughput, and/or distributed computing U.S. citizenship is required Successful completion of a criminal background check is required  Candidates that are selected for employment are expected to start employment between May and July 2022. In addition to the application, applicants at later stages in the process will be required to submit the following documents: Personal Statement — explain in 1,000 words or less why you want to work in the area of data science and analytics in defense and national security and how your background/experience will contribute to IDA’s work Writing Sample —5,000 word maximum Transcripts  - unofficial transcript is acceptable for consideration, but an official transcript is needed before any offer of employment will be made Two Letters of Academic Recommendation —letters must be signed by the individual rendering the reference and delivered as PDF files.
  • West Lafayette, Indiana, The Krannert School of Management invites applicants for one tenure-track faculty position at the assistant professor level in the Quantitative Methods area to begin in the fall semester of 2022. Candidates for the position must have a doctorate in applied mathematics, computer science, economics, engineering, management science, operations research, statistics, or a closely related field. We welcome applicants from all research areas represented within the Quantitative Methods area. We especially encourage applicants with research interests in the disciplines of data science, such as machine learning, high-dimensional data analysis, network analytics and broad data analytics, both theoretically and computationally. Successful applicants are expected to have exceptional potential for leadership in research, to conduct research publishable in top-tier academic journals, to attract and supervise doctoral students, to teach courses in data science, business statistics and management science at the undergraduate and graduate levels, and to actively participate in other school activities. The Krannert undergraduate quantitative analysis program and the Krannert master program in business analytics and information management have been ranked among the top programs nationally and internationally. For more information on the Quantitative Methods area, our programs, and our faculty, please visit https://krannert.purdue.edu/academics/Quantitative-Methods . Applications will be reviewed beginning December 1, 2021. Interested applicants should apply at https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=16185&company=purdueuniv .  Applications should include a cover letter, a curriculum vitae, a research statement, a teaching statement, representative research outputs (up to 5 preprints/reprints), and evidence of teaching ability. Applicants should also submit three letters of reference. Please use this link https://webapps.krannert.purdue.edu/Kars/Apply/SNCYenfQHI .  Inquiries can be directed to Professor Mohit Tawarmalani (mtawarma@purdue.edu) or Professor Will Wei Sun (sun244@purdue.edu), Krannert School of Management, Purdue University, 403 West State Street, West Lafayette, Indiana 47907, USA. Candidates should submit a diversity and inclusion statement. Purdue University's Krannert School of Management is committed to advancing diversity in all areas of faculty effort, including scholarship, instruction, and engagement. Candidates should address at least one of these areas in a separate Diversity and Inclusion Statement, indicating their past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion. Purdue University's vision is to be at the forefront of advancing Data Science-enabled research and education by tightly coupling theory, discovery, and applications while providing students with an integrated, Data Science-fluent campus ecosystem. Purdue is home to a large number of world class faculty spread across multiple colleges, engaged in fundamental research in Data Science, Machine Learning and Artificial Intelligence, as well as the applications of these methodologies and techniques to advance knowledge in other domains. Over the past five years alone, Purdue’s commitment to these areas has attracted over 100 new tenure-track faculty with expertise in data science fundamentals and applications. Employment with the University will require successful completion of background check(s) in accordance with university policies. Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.


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