Academic Position Openings

Academic Position Openings

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You may also post announcements to the APS Discussion distribution list through INFORMS Connect (you must be a member of the APS), and job market candidates are encouraged to also check the discussion page for postings.

Last updated: January 6, 2023.

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    Clinical Assistant Professor, Information Systems, Boston University Questrom School of Business

    Job Description

    The Questrom School of Business at Boston University seeks to hire a Clinical Assistant Professor trained in Information Systems, Data Analytics, Business Analytics, Data Science, and/or related disciplines. The anticipated start date for this position is July 1, 2023. We seek outstanding candidates who would be comfortable in, stimulated by, and engaged with both the graduate and undergraduate student populations as well as corporate partners. Candidates with relevant experience in industry are encouraged to apply; at least 2 years of industry experience is desired. Faculty will be expected to teach graduate courses in the MS in Business Analytics and the MBA program. The former is a technical Master's program offering rigorous hands-on training in solving data problems in business context. Faculty may also be asked to guide students in capstone projects focusing on data oriented problems in partnership with corporate partners.

    The Questrom School of Business is building a strong group of faculty with expertise in all aspects of data analytics. Key hires in this area in recent years represent a strategic focus for the school. Our world-class faculty conduct interdisciplinary research at the intersection of Information Systems, Economics, and Machine Learning. Our faculty include global experts in the areas of fintech, digital healthcare online reputation systems, platform economics, and social media, among others. Questrom is regularly ranked among the top global institutions for research output, and eleven Questrom faculty (five in IS) have recently been named among the top 2% of all scientists globally for citation impact. The strengths of the Questrom School in analytics along with its diverse and outstanding student body has led to the MSBA program being ranked in the top-10 in the USA. Thus this position presents an exciting opportunity to teach advanced analytics in a business context.

    Required Skills:

    • PhD in information systems, operations research, computer science, engineering, applied math or statistics is required. Technical industry experience is highly desirable.
    • Candidates should have strong communication skills. Candidates should be able to demonstrate a strong ability to teach. Prior experience in teaching courses at the undergraduate or graduate level is desirable. 
    • Experience in applied machine learning techniques and ability to work with large datasets leveraging latest technologies are required. Ability to teach them in a hands-on manner to students (including novices) using Python and other appropriate technologies with the help of applied industry examples is essential.

    The Questrom School of Business believes that the cultural and social diversity of our faculty, staff, and students is vitally important to the distinction and excellence of our research and academic programs. To that end, we are especially eager to have colleagues join our ranks who support our institutional commitment to ensuring BU is inclusive, equitable, diverse, and a place where all constituents can thrive. The Questrom School of Business seeks to continue diversifying our faculty, student and staff ranks, recognizing that diversity of experience and thought deepens the intellectual endeavor.

    The Questrom School of Business offers generous research and teaching support. The salary is competitive and commensurate with experience.

    DO NOT APPLY THROUGH THE BOSTON UNIVERSITY HR WEBSITE.

    Interested parties should apply via
    https://academicjobsonline.org/ajo/jobs/23346

    In your application, please include (1) cover letter (2) CV (3) programming sample or reference to one on e.g. github (4) teaching evaluations or equivalent content demonstrating teaching ability (5) 2-3 references.

    Please contact our department administrators with any questions regarding the position or application process through email at qstacademicsupport@bu.edu. 

    Application Deadline: For full consideration apply by Jan 15, 2023. We will evaluate applications on a rolling basis and accept them until the position is filled. 

    Please note all newly hired staff and faculty will need to be in compliance with Boston University's COVID-19 Vaccination and Booster Requirement within 30 days of date of hire. You must upload your vaccine documentation or request a medical or religious exemption (instructions). For further information on the University's response to COVID-19, please visit the COVID-19 Resources site.

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.

    Job Location
    Boston, United States

    Position Type
    Full-Time/Regular

    Salary Grade
    Based on experience

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    Department of Industrial and Systems Engineering University of Minnesota-Twin Cities Faculty Opening

    The Department of Industrial and Systems Engineering at the University of Minnesota-Twin Cities invites applications to fill a full-time tenure-track faculty position beginning fall 2023. Exceptional applicants, with particularly strong records of research, teaching, scientific leadership and creativity, will be considered for higher rank and tenure depending upon experience and qualifications.

    We seek and value candidates whose research is problem-driven and grounded in a broad set of methodological foundations. Individuals whose interests and backgrounds are at the intersection of Operations Research, Industrial Engineering, or Data Analytics with other fields in Engineering, Computer Science, and Statistics are encouraged to apply. Applicants should have a demonstrated interest in applications including, but not limited to healthcare delivery and medical decision making, transportation and mobility, supply chains and service operations, and energy systems and the environment. We particularly welcome applications from candidates from diverse cultures and communities. The Department of Industrial and Systems Engineering is committed to the goal of achieving a diverse faculty as a way to maximize the impact of its teaching and research mission.

    Applicants should hold or expect to complete by fall 2023 a Ph.D. in Engineering, Operations Research, Operations Management, or a related discipline, and have demonstrated the potential to conduct a vigorous and significant research program as evidenced by their publication record and supporting reference letters. The candidate’s expertise and documented research activities must demonstrate a strong potential to enhance both the department’s research and teaching missions. The successful candidate is expected to build a strong, externally funded, highly visible research program and to become a recognized leader. Information on current research activities of department faculty can be found at http://isye.umn.edu/faculty/. The ability to teach effectively a wide variety of classes related to industrial engineering at both the graduate and undergraduate levels to a diverse group of students is required.

    HOW TO APPLY:

    Applicants should submit a cover letter, a curriculum vita, and statements on research, teaching and contributions to diversity, equity, and inclusion. They should also provide the names and contact information for three references. Applications must be submitted online at http://apply.interfolio.com/114713 (job posting ID 351942), preferably by November 18, 2022. Review of applications will begin immediately and continue until the position is filled. Candidates may contact the chair of the search committee at isyesrch@umn.edu.

    ABOUT THE DEPARTMENT AND THE UNIVERSITY:

    The Department of Industrial and Systems Engineering is within the College of Science and Engineering, a highly interdisciplinary college of engineering, physical sciences, and mathematics. The University of Minnesota-Twin Cities is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant and diverse metropolitan communities, the University of Minnesota benefits from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

    The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.

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    Positions: Open Rank Faculty Positions in Financial Technology Thrust, The Hong Kong University of Science and Technology (Guangzhou)

    Department: Financial Technology Thrust, The Hong Kong University of Science and Technology (Guangzhou)

    In the rapidly changing environment of the 21st century, there is an increasing need to forge bridges across disciplines to address emerging challenges and problems.  Through its commitment to academic excellence, The Hong Kong University of Science and Technology (HKUST) has developed world-class strengths in many subjects over its short 30-year history.  With a strong track record of cultivating high end talents and nurturing future leaders for academia and industry, HKUST is well positioned to craft an innovative approach to cross-disciplinary education and research in its Guangzhou campus, The Hong Kong University of Science and Technology (Guangzhou) (HKUST(GZ)), and meet the needs of an ever-evolving world.

    About HKUST Guangzhou Campus [https://hkust-gz.edu.cn/]

    HKUST(GZ) offers a unique educational environment with four trans-disciplinary hubs and sixteen thrust areas.  HKUST(GZ) offers superb research facilities, attracting top international faculty and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges. English is the medium of instruction and administration at HKUST(GZ).

    HKUST(GZ) is situated in Nansha District, Guangzhou, which is right in the center of the Greater Bay Area, one of the most vibrant and dynamic regions in the world, neighboring Shenzhen, Hong Kong, and Macao.

    Job Posting Details

    The Financial Technology Thrust of Society Hub of The Hong Kong University of Science and Technology (Guangzhou) invites applications for tenure-track/tenured positions at all ranks (Assistant Professor / Associate Professor / Professor) in all fields of FinTech. For more information about the Fintech Thrust, please visit https://hkust-gz.edu.cn/academics/four-hubs/society-hub/financial-technology.

    We seek talents in the cutting-edge research in FinTech. Applicants must have PhD degrees in FinTech or related fields, e.g., computational mathematics, computer science, economics, finance, financial engineering, information systems, machine learning, mathematical finance, operations research, optimization, probability, and statistics.

    Areas of interest include but are not limited to:

    Blockchain technologies, smart contracts, and digital currencies

    Robo-advising, quantitative investing, and risk management

    Machine learning, artificial intelligence, and big data analytics in finance

    Technological innovations for financial services

    Regulatory issues and challenges in FinTech

    Digital economy and financial inclusion

    Remuneration and Conditions of Service

    Salary is highly competitive. Fringe benefits include annual leave, medical and dental benefits. Housing benefits will also be provided where applicable. Appointment at Professor rank will be on substantive basis. Appointment at Associate Professor may be with or without substantiation. Initial appointment for Assistant Professor or Associate Professor (without substantiation) will normally be on a three-year contract, renewable subject to mutual agreement.

    Application Procedure

    Please submit the application via the HKUST/HKUST(GZ) Recruitment System (https://facrecruit.hkust.edu.hk/).  You should first sign up to create your personal account.  

    For more information, please visit the recruitment website (https://gz-faculty-recruitment.hkust.edu.hk/).

    Review of applications will continue until all positions are filled.

    For questions regarding the recruitment system or general inquiries, please reach us at facultyhire@ust.hk.  For Hub/Thrust specific questions, please address to Society Hub: gzrecruitSOC@ust.hk or Fintech Thrust: ftect@hkust-gz.edu.cn with subject title of “Faculty Application to FTEC”.

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    Assistant Professor of Operations Management

    The Jones Graduate School of Business at Rice University, in Houston, Texas, is excited to continue the expansion of its newly formed Operations Management group. We invite applications for a tenure track position in Operations Management at the rank of Assistant Professor, to begin July 1, 2023.

    We are seeking candidates whose research interests and expertise lie in any of the quantitative areas of Operations Management and/or Business Analytics. Successful candidates will have a strong research agenda and solid analytical and/or empirical skills. The selected candidate will aspire to the highest standards of scholarship, professional activity, and teach in the undergraduate, MBA and PhD levels.

    The growing Operations Management group provides an exciting work environment within a top-tier business school. Located on a beautiful campus near downtown Houston, the fourth largest city in the nation (see https://www.visithoustontexas.com/ for more info), Rice University is consistently ranked in the top 20 research universities (U.S. News and World Report).

    JOB QUALIFICATIONS:

    Applicants must have completed all the requirements for a Ph.D. in OM or a related field by July 1st of the year employment commences.  Candidates must have demonstrated strong potential to achieve excellence in scholarly research, top journal publications, and excellence of teaching in the field of OM and/or Business Analytics. 

    APPLICATION PROCEDURE:

    We will continue to accept applications until the position is filled. However, we strongly encourage interested applicants to apply by October 2 at: https://apply.interfolio.com/114563.  Applications must include (1) a cover letter, (2) a curriculum vitae, (3) graduate school transcripts, (4) job market paper, (5) a research statement, (6) any recent teaching evaluations (if available), and (7) three references who will be asked to provide letters of recommendation.  We will request letters of recommendation at a later stage of the recruiting process. In the cover letter and research statement applicants should include their experience with or plans for building diverse and inclusive research group and fostering equitable and inclusive classrooms. Interested applicants can contact Professor Yiangos Papanastasiou for additional information via email: yiangos@rice.edu

    Rice University is an Equal Opportunity Employer with commitment to diversity at all levels, and considers for employment qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability or protected veteran status.



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