Assistant Professor of Computer Science (Artificial Intelligence and Network Science) at Indiana University Bloomington / Luddy School of Informatics, Computing and Engineering

The Luddy School of Informatics, Computing and Engineering at Indiana University (IU) Bloomington is inviting applications for a full-time Assistant Professor position in the Department of Computer Science effective August 1, 2022. We welcome all candidates who study artificial intelligence. , complex systems and network science (all broadly defined). Potential areas of research include, but are not limited to, deep learning, graphical neural networks, complex systems, complex networks, computational neuroscience, computational social science, social media analysis, agent-based models and the impacts of AI and social media on society. We particularly welcome applications from members of under-represented groups in IT.

We are looking for candidates willing to contribute to our commitment to diversity and inclusion in higher education, particularly those who have experience teaching or working with diverse student populations. Duties will include research, teaching multi-level courses online and in person, participating in course design and evaluation, and serving in school.

Applicants should have a demonstrable potential for excellence in research and teaching and a PhD in computer science, computer science, computer science, data science or a related field expected by August 2022.

Applications received before December 1, 2021 will be fully taken into account; however, the search will remain open until a suitable candidate is found. Applicants should review the application requirements, learn more about IU, Luddy School and its benefits, and apply online at:

https://indiana.peopleadmin.com/postings/11497

Questions can be sent to [email protected]

Indiana University is an Employment Equality and Affirmative Action Employer and ADA Service Provider. All qualified applicants will be considered for employment regardless of age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status.


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