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Assistant or Associate Professor in Computer Science (R5648)

Iowa State University
Iowa, United States
Salary Commensurate with experience
Posted date
Jul 27, 2021

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Position Type
Faculty Positions, Science, Technology & Mathematics, Computer Sciences & Technology
Employment Level
Tenured/Tenured Track
Employment Type
Full Time
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Assistant or Associate Professor in Computer Science (R5648)

Appointment Type: Faculty

Summary of Duties and Responsibilities:
The Department of Computer Science in the College of Liberal Arts and Sciences at Iowa State University in Ames, IA seeks outstanding applicants for a tenure-track faculty position at the rank of Assistant Professor. We are looking for candidates in all areas of Computer Science who complement and expand our current research strengths, including but not limited to, broad areas of artificial intelligence, computer vision, machine learning, and natural language processing.

The successful candidate will be responsible for developing and sustaining a strong research program; developing collaborative and interdisciplinary research; publishing in top venues; supervising outstanding graduate students; teaching undergraduate and graduate courses; and enhancing ISU through professional and institutional service. We are interested in exceptional candidates that can expand our research profile in new research areas.

We are seeking candidates who share in our mission of achieving excellence through diversity and inclusion. In the Department of Computer Science, and at the University as a whole, we translate the values of diversity and inclusion into action by seeking a diverse faculty and by seeking individuals who have experience working with diverse students, colleagues, staff, and constituents.

Required Minimum Qualifications:

  • Ph.D. or equivalent degree in computer science or a closely related field.
  • Publication in top tier venues.
  • Demonstrated ability to enhance the following ISU strategic research areas: artificial intelligence, machine learning, AI decision theory, foundations of machine learning, algorithmic foundations for data science, and algorithmic game theory.
  • In addition to the above, appointments at the rank of Associate Professor must provide evidence of excellence in scholarship that establishes the individual as a significant contributor to the field or profession, with potential for national distinction.

Preferred Qualifications:

  • Evidence of a strong publication record in top conferences or journals.
  • Demonstrated ability or potential to develop a high impact, externally funded research program.
  • Demonstrated ability or potential to excel in teaching at the undergraduate and graduate levels.
  • Demonstrated ability or potential to mentor research of undergraduate and graduate students.
  • Demonstrated ability or potential to engage in professional and institutional service and leadership.
  • Evidence of ability to work effectively with diverse student, faculty, and staff populations.

Number of Months Employed Per Year: 09 Month Work Period

Time Type: Full time

Application Instructions: To apply for this position, please complete an electronic application at this link:

To apply for this position, please click on “Apply” and complete the Employment Application. Please be prepared to enter or attach the following:

  1. Resume/Curriculum Vitae
  2. Letter of Application/Cover Letter
  3. Contact Information for Three Professional References

Additional Required Applicant Materials:

  1. Statement of Research Interests
  2. Statement of Teaching Interests and/or Philosophy
  3. Statement of Diversity and Inclusion
  4. Email Contact Information for Three Referees to Provide Letters of Recommendation

Please attach documents 4-7 in the additional required documents section.

If you have questions regarding this application process, please email or call 515-294-4800 or Toll Free: 1-877-477-7485.  For guaranteed consideration, please apply before the application deadline of January 13, 2020.

EO Statement
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status and will not be discriminated against. Inquiries can be directed to the Office of Equal Opportunity, 3410 Beardshear Hall, 515 Morrill Road, 515 294-7612, email

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