Academic Position Openings

Academic Position Openings

If you would like to add your job openings to the following list, please contact the APS webmaster. You may also post announcements to the APS distribution list through INFORMS Connect (you must be a member of the APS). Last updated: August 5, 2018.

  • ASSISTANT PROFESSOR IN MARKETING

    Boston University Questrom School of Business

    Job Description

    The Questrom School of Business at Boston University anticipates an opening for a tenure-track Assistant Professor in Marketing with a focus in customer analytics and a deep emphasis on retailing topics. Pending Provost budgetary approval, the anticipated start date for this faculty position is July 1, 2019.  While preference will be given to advanced Assistant Professors (who have an established publication record), we will also consider rookies.

    The Questrom School of Business is building a strong group of faculty with expertise in all aspects of marketing, data science, and analytics. Multiple hires represent a strategic focus for the School and are intended to fuel cross-departmental and cross-university research initiatives in analytics and data science, and support the Fall 2019 launch of our Master of Science in Business Analytics.

    We seek outstanding candidates who would be comfortable in, stimulated by, and engage with the vibrant cross-disciplinary community that is data science and that are interested in applying data science approaches to understanding and improving omni-channel marketing, customer relationship management and retailing issues in particular.  Prospective candidates must have demonstrated the ability to produce original and innovative scholarly work of the highest possible quality with impact in the top academic journals. Faculty will be expected to teach a variety of undergraduate and graduate courses in analytics, particularly courses with a retailing focus, and contribute to cross-disciplinary curriculum development activities: special consideration for those with experience in the classroom will be given. Candidates with ties to retail industry and access to datasets will have an advantage. The Questrom School of Business offers generous research and teaching support.

    Required Credentials

    We seek candidates with a PhD in Marketing or related fields, whose research leverages their deep expertise in the customer and retail analytics, and experience working with large datasets and/or field experimentation in retailing and related domains.

    How to Apply

    Interested candidates should not apply through the Boston University HR website. Candidates are encouraged to send application details to mktjobs@bu.edu and include the following:

    1. “Assistant Professor – Marketing” in the email subject line
    2. A cover letter stating interest and qualification
    3. A curriculum vitae
    4. Three letters of recommendation
    5. Representative publications
    6. A statement of where you saw this notice (e.g. the conference name, website, colleague, etc.)

     

    Applications will be reviewed on a rolling basis until the position is filled, for a July 1, 2019 start.

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

    Job Location

    Boston, Massachusetts, United States

    Position Type

    Full-Time/Regular

    Salary

    Competitive and commensurate with experience

  • ASSISTANT PROFESSOR IN DIGITAL ANALYTICS

    Boston University Questrom School of Business

    Job Description

    The Questrom School of Business at Boston University anticipates an opening for a tenure-track Assistant Professor with an emphasis in analytics and trained in machine learning and A.I. techniques. Pending Provost budgetary approval, the anticipated start date for this faculty position is July 1, 2019.

    The Questrom School of Business is building a strong group of faculty with expertise in all aspects of data science and analytics. Multiple hires represent a strategic focus for the School and are intended to fuel cross-departmental and cross-university research initiatives in analytics and data science, and support the Fall 2019 launch of our Master of Science in Business Analytics. 

    We seek outstanding candidates who would be comfortable in, stimulated by, and engage with the vibrant cross-disciplinary community that is data science. Prospective candidates must have demonstrated the ability to produce original and innovative scholarly work of the highest possible quality with impact in the top academic journals. Faculty will be expected to teach a variety of undergraduate and graduate courses in analytics and contribute to cross-disciplinary curriculum development activities; special consideration for those with experience in the classroom will be given. Candidates with ties to industry and access to datasets will have an advantage. The Questrom School of Business offers generous research and teaching support.

    Required Credentials

    We seek candidates with a PhD in Marketing, Information Systems, or Operations Management, whose research leverages their deep expertise in the methods of Machine Learning and Artificial Intelligence. Those with a PhD in Computer Science or Statistics with research that focuses on problems of significant interest to business are particularly encouraged to apply.

    How to Apply

    Interested candidates should not apply through the Boston University HR website. Candidates are encouraged to send application details to mktjobs@bu.edu and include the following:

    1. “Assistant Professor - Digital Analytics” in the email subject line
    2. A cover letter stating interest and qualification
    3. A curriculum vitae
    4. Three letters of recommendation
    5. Research and teaching statements, including a point of view on teaching in analytics programs at the graduate and undergraduate level
    6. Representative publications
    7. A statement of where you saw this notice (e.g. the conference name, website, colleague, etc.)

     

    Applications will be reviewed on a rolling basis until the position is filled. We will begin interviewing in early August 2018 for a July 1, 2019 start.

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

    Job Location

    Boston, Massachusetts, United States

    Position Type

    Full-Time/Regular

    Salary

    Competitive and commensurate with experience

  • The Department of Industrial Engineering at Clemson University is conducting a search for one tenure-track assistant or associate professor in the area of operations research, broadly defined, starting in Fall 2018. Applicants must have a Ph.D. in Industrial Engineering or a related discipline. We seek candidates who have demonstrated excellent potential for publishing in prestigious journals, innovative and effective teaching, and securing funding to support a top research program. Applicants must be willing to work in a collaborative environment, commit to supporting Clemson’s diverse population of students, and advise graduate research especially at the Ph.D. level.
    Clemson is a top-25 public, land grant university in South Carolina with over 18,500 undergraduate and 4,800 graduate and professional students. The Department of Industrial Engineering is ranked in the top 20 among public industrial engineering programs. It currently has 16 full-time faculty members and a student population of 500 undergraduate students, 70 on-campus master's students, and 35 doctoral students. In addition, there are 120 students enrolled in an online master's of engineering program.
    Qualifications
    Applicants must have a Ph.D. in Industrial Engineering or a related discipline.
    Application Instructions
    To apply, please submit materials via Interfolio. Applicants should submit a cover letter that includes a brief introduction and explicitly addresses how they will support Clemson’s mission of inclusion and diversity. Also, applicants are asked to provide a curriculum vitae, a brief statement of their teaching and research interests and accomplishments, and the names and contact information of three references. Any inquiries may be sent to Dr. Kevin Taaffe, Chair of Faculty Search Committee (taaffe@clemson.edu). Additional information about the Department of Industrial Engineering can be found at http://ie.clemson.edu. Applications received before February 18, 2018 will receive full consideration. However, applications will be accepted and considered until the position is filled.
    The position details can also be found on: https://apply.interfolio.com/48410
  • The Faculty of Mathematics and Economics at Ulm University invites applications for a Professorship (W3) in "Stochastics" to be filled by 1 October 2018
    Candidates should have an internationally outstanding research and teaching record in Stochastics (Probability Theory and Mathematical Statistics) as well as experience in the acquisition of third party funding. The research focus should be in the area of Stochastics at the interface with Analysis (e.g. Stochastic Partial Differential Equations) with relations to applications in the natural or life sciences or in engineering. A particular interest in collaborations within the various research areas of Ulm University and with further local research institutions is desired. 
    The teaching includes courses for students in our mathematical and teacher training programmes as well as mathematical courses for students in other study programmes. 
    Conditions for appointment are a completed course of studies at a university, pedagogical aptitude, doctorate and additional academic qualification (§ 47 LHG). 
    Ulm University is committed to increase the share of women in research and teaching and therefore explicitly encourages female candidates to apply. 
    Applications with the usual documents (including CV, teaching experience, the three most important publications, and certificates of academic degrees and other relevant verifications) are due by 5 January 2018 to the Dean of the Faculty of Mathematics and Economics, Prof. Dr. Alexander Lindner, Ulm University, D-89069 Ulm, (Phone: +49 731 50 23500, Fax: +49 731 50 23610, http://www.uni-ulm.de/mawi). Please send all documents in electronic form in one single PDF file (Email: mawi.dekanat@uni-ulm.de) indicating the reference number 118 in the subject line
    Physically disabled applicants receive favourable consideration when equally qualified. 
  • The Institute of Probability and Statistics in the Department of Mathematics and Physics invites applications for a 
    University Professorship (Salary Scale W3 NBesO) 
    in 
    Actuarial Mathematics

    starting on July 1st, 2018.

    Applicants should be internationally recognized scientists in actuarial mathematics. Their research should make significant contributions to both mathematics and its applications to insurance, for example in the area of quantitative risk management. They are expected to engage in interdisciplinary scientific collaboration with the areas of economics, law and engineering.


    The position is part of the newly founded House of Insurance at Leibniz Universität Hannover. Initially four faculty positions in mathematics, economics and law will be part of this center. The successful candidate should significantly contribute to the activities of the House of Insurance, including research projects, teaching, grant applications and interdisciplinary projects besides the close cooperation with regional insurance corporations on applied research questions relevant to industry practice. We are seeking applicants with strong communication and management skills. Teaching includes courses for students in our mathematical programs and our teacher training program as well as mathematical courses for students in other programs of study.

    Conditions of appointment are in accordance with § 25, Niedersachsen Higher Education Act (NHG). Part-time employment can be arranged on request. As an equal opportunities employer, Leibniz Universität Hannover has set itself the strategic aim of significantly increasing the proportion of women. Female scholars are therefore particularly encouraged to apply. Applications from abroad are especially welcome. Equally qualified candidates with disabilities will be given preference. In its mission statement, Leibniz Universität Hannover attaches great importance to the international orientation of teaching and research. At the same time, it places major value on the intensive guidance and support of its students and on the university’s close ties to the region and to Niedersachsen. Its professors are thus expected to take up residence in the Region of Hannover. Successful candidates who have reached the age of fifty by the time of appointment and who do not already have civil servant status will be given an employment contract.

    Further information is available from Professor Dr. Stefan Weber, Institut für Mathematische Stochastik, Welfengarten 1, 30167 Hannover, sweber@stochastik.uni-hannover.de

    Please submit your full application by January 15th, 2018, preferably by email, to

    bewerbung@maphy.uni-hannover.de

    or to

    Gottfried Wilhelm Leibniz Universität Hannover
    Dekan der Fakultät für Mathematik und Physik
    Professor Dr. Roger Bielawski
    Appelstraße 11A
    30167 Hannover
    Germany

    http://www.uni-hannover.de/jobs

  • Columbia Business School seeks junior faculty
    The Decision, Risk and Operations Division at Columbia Business School is seeking to hire qualified faculty members for tenure-track appointments at the assistant or associate professor level, depending on the qualifications of the applicant.   
    The Division has teaching responsibilities for management science, statistics, and operations management courses at the MBA and Ph.D. levels.  Applicants for an associate professor level appointment should have a Ph.D. from an accredited institution, a record of scholastic achievement in research, and should combine exceptional disciplinary training with a strong interest in the professional mission of the school.  Applicants for an assistant professor level appointment should have, or be close to completing, a Ph.D. from an accredited institution, demonstrate promise of becoming an outstanding scholar in every respect, including research and teaching, and should combine exceptional disciplinary training with a strong interest in the professional mission of the school.
     
    Columbia Business School is particularly interested in candidates who, through their research, teaching and/or service will contribute to the diversity and excellence of the academic community.
    Candidates are encouraged to apply by October 20 in order to be considered before the annual INFORMS conference.
    Applicants should apply online at https://academicjobs.columbia.edu/applicants/Central?quickFind=65265.

  • Tenure-track position in Business Data Analytics at HEC Montréal
    The Department of Decision Sciences at HEC Montréal is seeking highly qualified applicants for a full-time, tenure-track position in Business Data Analytics beginning June 1, 2018. Rank will be commensurate with experience and qualifications. While a PhD in computer science, operations research, statistics, or in a related field is required, preference will be given to applicants with experience in high-frequency data, high-dimensional problems, and/or machine learning, with applications to data-driven decision-making and/or financial engineering. Interested candidates should seek more information and submit their application through the following website : https://emplois.hec.ca/job.php?id=383. While applications will be accepted until the position is filled, material should be received by October 15, 2017, in order to receive full consideration.

  • Lecturer/Senior Lecturer in Business Analytics - The University of Sydney Business School 
    Reference no. 1267/0617
    · Join an internationally accredited and respected business school
    · Work in a collaborative and supportive team environment
    · Two full-time (though part-time will also be considered), 2 year fixed positions (with possible renewal for a further fixed term) and  attractive remuneration package including a possible market loading
     
    About the opportunity 
     
    The Business Analytics Discipline is a group of specialists in business statistics, advanced analytics, econometrics and managementscience. We are engaged in all aspects of analysing data, making forecasts and building models to assist in management decisions. Thediscipline has research strengths in the areas of financial time series and quantitative risk management; business and economic forecasting;econometrics and Bayesian statistics; computationally intensive estimation; supply chain management and scheduling theory.  The group is continuing to build up expertise in machine learning and is open to appointing teachers and researchers in other emerging fields in business analytics such as text analytics. 
     
    We are currently seeking to appoint additional Lecturer (Level B) and Senior Lecturer (Level C) staff in Business Analytics with expertise inone or more of the major areas of business analytics, including statistics and data analysis, statistical learning, risk analytics, time seriesanalysis, machine learning and operations management, operations research and management science.
     
    In this position you will:
     
    ·         teach at undergraduate and postgraduate level to culturally-diverse student cohorts, and develop curriculum
    ·         make a contribution to the research strengths of the school, including the pursuit of research grants and regular publication injournals of high standing and presentation and dissemination of research at academic conferences
    ·         supervise research higher degree students
    ·         be involved in interdisciplinary collaborations within the University and with external stakeholders
    ·         contribute to academic administration.
     
    About you
     
    The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance in recruiting talent aligned to these values in the pursuit of research excellence. To help staff with caring responsibilities the University also offers generous conditions concerning such matters as parental leave and the possibility to work on a part-time basis.
     
    We are looking for colleagues with:
     
    ·         significant progress towards, or the completion of, a PhD with specialisation in Statistics, Business Analytics,  Machine Learning, Operations Management, Operations Research and Management Science or a related discipline
    ·         evidence of high quality teaching in Statistics/Machine Learning and/or Business Analytics units, at undergraduate orpostgraduate level
    ·         capacity to contribute to course and program development
    ·         an active research program with significant potential for future publication
    ·         evidence of successful teamwork and a collegial approach.
     
    This position is your opportunity to join a dynamic group that researches and teaches in quantitative business analytics and decisionsciences.
     
    About us
     
    Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence.Across our campuses, we employ over 6000 academic and non-academic staff who support over 60,000 students.
     
    We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.
     
    Our University of Sydney Business School came into being in 2011 as a result of reorganisation of the Faculty of Economics and Business.We have AACSB accreditation for both our business and accounting programs, and EQUIS accreditation through EFMD, the EuropeanFoundation for Management Development. Our business school is the only Australian member school of CEMS - The Global Alliance inManagement Education, and we are committed to high quality research which is both rigorous and relevant.
     
     
    For more information on the position and University, please view the candidate information pack available from the job’s listing on the University of Sydney careers website.
     
    All applications must be submitted via the University of Sydney careers website.  Visit sydney.edu.au/recruitment and search by the reference number to apply.

    Closing date: 11:30pm, 24 August, 2017 (Sydney time)

    The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.
     
    If we think your skills are needed in other areas of the University, we will be sure to contact you about other opportunities.
     
    © The University of Sydney
    The University reserves the right not to proceed with any appointment.
  • Research Associate in Decision-Making under Uncertainty (1 year fixed term, with possible extension)
    (With apologies for cross-posting.)

    The Management Science & Operations group at Imperial College Business School is seeking applications for a Research Associate in the area of decision-making under uncertainty, in particular in the fields of robust optimization or stochastic programming. Applicants must hold a PhD in Operations Research, Applied Mathematics or a related field and have strong mathematical skills.

    The successful candidate will conduct research with Dr. Wolfram Wiesemann (www.doc.ic.ac.uk/~wwiesema) from the Management Science & Operations group at Imperial College Business School. The position is funded through EPSRC grant EP/M028240/1, which is conducted in collaboration with researchers from the Department of Computing, Imperial College London, and the Department of Chemical Engineering, University College London.

    The Management Science & Operations group at Imperial College Business School studies all aspects of theoretical and practical decision-making, with applications to operations management, energy and finance. Faculty members regularly publish in leading academic journals such as Management Science, Operations Research, Mathematical Programming, Mathematics of Operations Research and SIAM Journal on Optimization. The group maintains close relations with the Computational Optimization Group at the Department of Computing, Imperial College London.

    Situated at the heart of London, Imperial College London is a research-focused university that has been consistently ranked among the top ten universities in the world and the top five institutions in Europe in the past ten years.

    Salary:  £33,410 - £42,380 per annum.
    Deadline:  31 August 2017
    Application: go to https://www.imperial.ac.uk/job-applicants/; click on “Job Search” and enter "ICBS 2017 042” as keyword.

    Informal enquiries should be directed to Wolfram Wiesemann: ww@imperial.ac.uk.