The Department of Computer Science in the College of Liberal Arts and Sciences at Iowa State University seeks outstanding applicants for a faculty position at the rank of tenure-track Assistant Professor or tenured Associate Professor.
The department is leading a National Science Foundation HDR:TRIPODS Phase I initiative on dependable data driven discovery (D4). The goal of this TRIPODS project is to advance foundational research on ensuring that data-driven discoveries are trustworthy and of high quality. The successful candidate is being sought to directly contribute to this project. We are specifically looking for experts in artificial intelligence, AI decision theory, foundations of machine learning, algorithmic foundations for data science, and algorithmic game theory.
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 directly contribute to the D4 initiative. Preference will be given to candidates in the areas of artificial intelligence, machine learning and data science.
Required Minimum Qualifications:
Ph.D. or equivalent degree in computer science or a closely related field.
Publication in top tier venues.
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.
Experience that demonstrates a strong publication record.
Demonstrated ability or potential to develop a high impact, externally funded research program.
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.
Experience that demonstrates high-quality teaching to diverse groups or diverse students.
Demonstrated ability or potential to excel in teaching at the undergraduate and graduate levels.
Demonstrated ability or potential to supervise research of undergraduate and graduate students.
Demonstrated ability or potential to engage in professional and institutional service and leadership.
Evidence of ability to work with diverse student, faculty, and staff populations.
Department/Program & College Description:
The Computer Science department resides in the College of Liberal Arts and Sciences, the largest college at Iowa State University. The department currently consists of thirty full-time tenured/tenure-track faculty, six term faculty, and three lecturers. We offer B.S., M.S., and Ph.D. degrees in Computer Science. We are also one of the founding departments for the B.S. in Software Engineering, B.S. in Data Science, Data Science Minor and Certificate along with the B.S. and Ph.D. degrees in Bioinformatics and Computational Biology. We are active in interdepartmental graduate programs in Bioinformatics and Computational Biology, Human-Computer Interactions, and Information Assurance. We have many interdisciplinary research collaborations, especially with faculty in the bio-sciences, mathematical sciences, and engineering. The Computer Science department has 672 B.S. students, 42 M.S. students, and 120 Ph.D. students. Almost all Ph.D. students are supported by research or teaching assistantships. We have strong research and educational programs in Algorithms and Complexity, Artificial Intelligence, Bioinformatics and Computational Biology, Databases, Data Mining, Information Assurance, Programming Languages, Molecular Programming, Multimedia Systems, Networks, Operating Systems, Robotics, and Software Engineering. Our department has over $16 million in active research grants. With the above interdisciplinary activities included, we contribute to active research and training grants totaling approximately $25 million.
Proposed Start Date:
August 16, 2020
For consideration, submit application before:
January 13, 2020
Job Requisition Number: