Assistant Professors in Computer Science (databases area)
- Employer
- Indiana University Bloomington / Luddy School of Informatics, Computing, and Engineering
- Location
- Bloomington, Indiana
- Salary
- Salary is commensurate with qualifications and experience.
- Date posted
- Oct 17, 2022
View more
- Position Type
- Faculty Positions, Science, Technology & Mathematics, Computer Sciences & Technology
- Employment Level
- Tenured/Tenured Track
- Employment Type
- Full Time
The Luddy School of Informatics, Computing, and Engineering at Indiana University (IU) Bloomington invites applications for two full-time tenure track Assistant Professor Positions in Computer Science (CS) to begin August 1, 2023. We are looking for candidates with research interests in the area of databases, including database theory/algorithms, database systems, data mining, data science, and AI/ML for databases.
We seek candidates prepared to contribute to our commitment to diversity and inclusion in higher education, especially those with experience in teaching or working with diverse student populations. Duties will include research, teaching multi-level courses both online and in person, participating in course design and assessment, and service to the School.
Applicants should have a demonstrable potential for excellence in research and teaching and a PhD in Computer Science, or a related field expected before August 2023.
Applications received by December 1, 2022 will be assured full consideration; however, the search will remain open until a suitable candidate is found. Candidates should review application requirements, learn about IU, Luddy School, and benefits, and apply online at:
https://indiana.peopleadmin.com/postings/14018
Questions may be sent to Dr. Qin Zhang (qzhangcs@indiana.edu).
Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on 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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