INFORMS Open Forum

Faculty Positions for Big Data in Social Sciences, Business and Health @ Wayne State University

  • 1.  Faculty Positions for Big Data in Social Sciences, Business and Health @ Wayne State University

    Posted 10-24-2018 10:50
    WSU
    Faculty Positions for Big Data in Social Sciences, Business and Health
    Wayne State University, Detroit MI

    Wayne State University (WSU), an urban institution in Midtown Detroit that is Carnegie classified as a doctoral university of highest research activity and community engaged, is launching an exciting multidisciplinary initiative in "Big Data". The intent of this initiative is to build on our existing strengths in research and curricula in Big Data and its applications in and implications for business, health, law, social sciences, arts, humanities, sciences and engineering. For more information on Big Data at WSU, please see http://bigdata.wayne.edu.

    As part of this initiative, we will recruit up to 9 faculty with complementary research and/or teaching interests in the following focus areas: Social Sciences, Business and Health; Arts and Humanities; Science and Engineering.

    This advertisement is for the focus area of Social Sciences, Business and Health. There will be separate advertisements for the other two focus areas. We seek candidates who are suitable for appointment as tenure-track or tenured faculty (open rank). They will be expected to integrate with departments and colleges/schools consistent with their area of expertise and shared interests, and engage in all aspects of the WSU academic mission including research, education and service. The primary tenure home and possible joint appointments will be determined in department(s) of school(s) or college(s) within WSU, based on the best fit for the candidate.

    Examples of areas of interest include, but are not limited to: analysis of health disparities, health risks and target interventions to improve clinical intervention strategies; statistical evaluation of individual patient health risks and treatment optimizations to enhance patient outcomes; understanding communication patterns, networks and sentiments in mass and social media; identifying social and legal implications of the increasing reliance on big data and machine learning algorithms by the corporate and government sectors; analysis and optimization of supply chains and related processes to increase revenue generation and maximization of shareholder wealth; developing and/or applying novel genomics technologies, machine learning and statistical methods to analyze large scale datasets to better understand social inequality, urban informatics and environments, and contemporary social problems in Detroit and around the globe; and critical perspectives on Big Data.

    Responsibilities: Research, teaching, and service in the social sciences, business or health in academic units within WSU that are consistent with the norms of the home units, as determined by chair(s) of departments and dean(s) of schools or colleges. Please see https://wayne.edu/about/schools/ for a list of schools and colleges within WSU.

     Qualifications: Candidates must hold a Ph.D. or equivalent terminal degree from an accredited institution that aligns with research and curricula in the area of Big Data & Analytics and its applications in and implications for the social sciences, business and health. Candidates must have a record of research or professional attainment, and if applicable, both teaching and service experience that merit appointment as a tenured or tenure track faculty. In addition, they should have: proven ability to work collaboratively with others; commitment to integrating and advancing the university's core values, mission and vision (please see http://strategicplan.wayne.edu for more information); excellence in scholarship and teaching that bridges disciplines; commitment to working with diverse populations and conversant in multicultural issues; commitment to fostering an atmosphere of mutual respect and a history of developing and maintaining consensus and cohesiveness; and excellent interpersonal and communication skills.

    Special Instructions to Candidates: Qualified candidates should submit applications to the Wayne State University Online Hiring System at https://jobs.wayne.edu/applicants referring to posting # 043926. Review of applicants will commence immediately and continue until positions are filled. For best consideration, please submit curriculum vitae, cover letter, research statement, and up to three references by December 1, 2018. In your research statement, please address how your current work fits with interdisciplinary research in Big Data at WSU.

    The Detroit metropolitan area is a vibrant center of manufacturing, services, health care, culture, entertainment and sports, with affordable housing and an excellent airport with direct connections to most big cities in the world. Wayne State University is a premier, public, urban research university located in the heart of Detroit where students from all backgrounds are offered a rich, high quality education. Wayne State is Carnegie classified as a doctoral university of highest research activity, with 13 academic schools and colleges offering more than 350 undergraduate, graduate and professional degrees. Wayne State is home to nearly 28,000 students from nearly every state and 60 countries – the most diverse student body among Michigan's 15 public universities. Our deep- rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities preparing students for success in a diverse, global society. Wayne State encourages applications from women, people of color, and other underrepresented people. Wayne State is an affirmative action/equal opportunity employer.

    Several of our faculty will be present at the 2018 INFORMS National Meeting in Phoenix (November 4-6) and we will be glad to talk to prospective candidates. Please contact Prof. Leslie Monplaisir, at Leslie.Monplaisir@wayne.edu, for more details.

    Best,
    Evrim Dalkiran



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    Evrim Dalkiran
    Assistant Professor
    Wayne State University
    Detroit MI
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