The McKelvey School of Engineering at Washington University in St. Louis seeks to fill two tenure-track positions: one as Assistant and one as Associate or Full Professor rank in the Department of Computer Science & Engineering (CSE). We seek candidates whose research focuses on Data Visualization, Visual Analytics, and Human-Computer Interaction (particularly relating to visual data representation).

For the rank of Assistant, we seek candidates with exceptional research, teaching, mentoring, and funding promise and commitment to advancing the field of data visualization. The ideal candidate for the rank of Associate or Full will have outstanding teaching, publication, funding, and service records commensurate with tenure at that rank. We are particularly interested in candidates whose work can advance Washington University’s mission to support interdisciplinary collaborations across diverse areas such as Engineering, Design, Psychology, and Medicine and leverage new advances in Artificial Intelligence for improved decision-making and data insights. Diversity and inclusion are core values at Washington University, and candidates should demonstrate the ability to create inclusive teaching and research environments where diverse students can learn and thrive.

The CSE Department at Washington University is uniquely collegial and actively involved in a wide array of research endeavors, offering ample opportunities for interdisciplinary collaboration. Our key strategic themes involve collaborative efforts with the Sam Fox School of Design & Visual Arts, supporting the new STEM-designated Master of Design for Human-Computer Interaction and Emerging Technology program. Many of our faculty collaborate with the School of Social Work and Public Health, facilitated by a joint Ph.D. program under the Division of Computational and Data Science (DCDS). This program unites several departments with a shared interest in computational and data science. The impact of our work is further magnified through interdisciplinary collaborations with colleagues in our world-renowned School of Medicine.

Washington University is a private university with roughly 7,000 full-time undergraduates and 7,000 graduate students. It is nationally known for its student body’s exceptional quality and attractive campus, which borders residential neighborhoods and one of the nation’s largest urban parks. Many faculty walk or bike to work. St. Louis combines a Midwest cost of living with a vibrant metropolitan area, offering many cultural and entertainment opportunities.

Applications submitted by December 15, 2024, will be given priority consideration. Applicants must hold a doctorate in Computer Science or a closely related field by the time of appointment. Qualified applicants should submit a complete application package through Interfolio at https://apply.interfolio.com/153997, including:

• A cover letter
• A curriculum vitae
• A research statement (not to exceed 3 pages plus bibliography)
• A teaching statement (not to exceed 2 pages plus bibliography)
• A diversity statement (not to exceed 2 pages plus bibliography)
• Shortlisted candidates will need to arrange for at least three letters of reference to be directly submitted on their behalf. For inquiries regarding the search, contact Alvitta Ottley, Chair of the Hiring Committee, at alvitta@wustl.edu.

Application Process
This institution is using Interfolio’s Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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Equal Employment Opportunity Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those underrepresented in their academic fields. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or genetic information.