Tenure-Track Faculty Position, Computer and Data Sciences
The Department of Computer and Data Sciences in the Case School of Engineering at Case Western Reserve University (CWRU) invites applications for a tenure-track faculty position. While all ranks will be considered, preference will be given to candidates at the Assistant or Associate Professor level.
This search prioritizes Assistant and Associate Professor candidates in Artificial Intelligence, Machine Learning, Data Science, Privacy and Security, and related areas. However, we will consider exceptional candidates at all ranks commensurate with experience, and in all areas of Computer and Data Sciences. In addition to foundational research, candidates with collaborative research programs in applied areas of Computer and Data Sciences are encouraged to apply.
The Department of Computer and Data Sciences was formed in 2019 out of the Department of Electrical Engineering and Computer Science, with the vision that computing and data sciences will play a central role in interdisciplinary research and education throughout the university. CWRU has a well-established culture and a nurturing environment for transdisciplinary research, and the department faculty have a broad range of collaborative research on applications with a societal impact, including human health, energy, materials, and social sciences. Current departmental strengths include Artificial Intelligence, Data Science, Bioinformatics, Machine Learning, Networks and Distributed Systems, High Performance Computing, Cyber-Security and Privacy, and Software Engineering, and successful candidates will be expected to be synergistic with these strengths. The Department has strong ties with Cleveland Clinic, University Hospitals, NASA Glenn Center and many large companies in the Cleveland area.
Case Western Reserve University, Case School of Engineering, and the Department of Computer and Data Sciences are committed to increasing representation of all communities in computing. The department places significant emphasis on socially responsible computing, as well as inclusion and diversity in research, education, and community outreach. Candidates committed to increasing the participation of underrepresented minorities in computing are strongly encouraged to apply.
Candidates must have a PhD in Computer Science or a closely related field. Candidates seeking positions at the Assistant Professor level should demonstrate potential for excellence in innovative research. Candidates seeking positions at the Associate Professor level should have established a significant research reputation nationally and possess a record of extramural funding. Candidates seeking positions at the level of full Professor should be recognized internationally for research excellence, leadership and scholarship in their discipline.
All successful candidates are expected to develop a vibrant, high-quality externally sponsored research program, supervise graduate students, and interact and collaborate with faculty across the department and campus. Applicants should have a strong commitment to high quality teaching at the undergraduate and graduate levels.
Applicants must submit (i) a cover letter, (ii) current curriculum vitae, (iii) statement of research interests, (iv) statement of teaching interests, (iv) statement on diversity and inclusion, and (v) contact information for at least three references for a junior position and six references for a senior position.
The statement on diversity and inclusion should explain how the candidates value diversity, equity, and inclusion within their research and discipline(s) and how their own scholarly work might contribute to structural justice inside and outside institutions of higher learning. This statement should also suggest how their work, while as a member of CWRU, will contribute to diversity, equity, and inclusion and how moving forward they intend to foster a culture of diversity, pluralism, and individual difference.
Applications will be reviewed starting immediately and will continue until the position is filled with a start date as early as July 1, 2023.
Application materials may be sent by email to:
Faculty Search Committee
Department of Computer and Data Sciences
Case Western Reserve University
c/o Laura Kuhar (firstname.lastname@example.org)
10900 Euclid Avenue, Glennan 321
Cleveland, OH 44106-7071
Founded in 1826, Case Western Reserve University is a highly ranked private research university located in Cleveland, Ohio. As a vibrant and up-and-coming city, Cleveland was named one of the top 15 best places to live in the US by timeout.com in 2016. The campus is in the heart of University Circle, a world-renowned area for its cultural vibrancy, hosting the Cleveland Museum of Art (the second highest ranked art museum in the country), Cleveland Orchestra, the Museum of Natural History, Cleveland Institute of Music, and the Cleveland Botanical Gardens, as well as two world-class health institutions, the Cleveland Clinic and University Hospitals of Cleveland. CWRU and surrounding institutions host many institutes and centers that support and catalyze innovative research and translational opportunities, including the Institute for Smart, Secure and Connected Systems, Great Lakes Energy Institute, Institute for Advanced Materials, Solar Durability and Lifetime Extension Center, Clinical and Translational Science Collaborative of Cleveland, Institute for Computational Biology, Center for Global Health and Diseases, Case Comprehensive Cancer Center, Institute for the Science of Origins.
In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity. Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply.
Case Western Reserve University provides reasonable accommodations to applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis.