The University of Kansas (KU) Department of Electrical Engineering and 
Computer Science (EECS) is seeking applications for a tenure track 
faculty position at the rank of Assistant Professor with a focus on computational life sciences 
research, including bioinformatics, biomedical informatics, and health 
informatics. Research, academic, or industrial expertise in computing and computational life sciences is preferred but not mandatory.
The demonstrated ability to obtain external funding is also preferred. Exceptionally qualified candidates with outstanding qualifications could be considered at higher ranks.
The successful candidate has an earned doctorate or equivalent in 
computer science, computer engineering, or related fields. Demonstrated 
research and academic leadership
is required for senior ranks. This search is focused on those with 
expertise in machine learning, data mining, statistical learning, 
distributed databases, big data analytics; all
focused on computational life sciences problems. Other areas of computer
 science focused on computational life sciences maybe considered for 
exceptional applicants.
EECS is the largest department in the KU School of Engineering, with 38 
faculty and annual research volume of over $6 million. EECS offers 
undergraduate and graduate degrees in electrical engineering, computer engineering, and computer science, 
and has approximately 600 undergraduate and 250 graduate students.
Applications will be reviewed beginning December 1, 2012 and will be 
accepted until the position is filled. The successful candidate must be 
eligible to work in the U.S. prior to the start of the position.  To apply, visit jobs.ku.edu and search for faculty position 3990. Questions should be sent to Dr. Huan, the search chair, at EECS_bio_search@ku.edu.
 
 
 
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