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Posted: Thursday, February 1, 2018 10:06 PM

Title of Position
Tenure-Track Assistant or Tenured/Tenure-Track Associate Professor Machine Learning and Data Analytics, Cluster Hire
Requisition Number
Department Posting Name
Electrical and Computer Engineering
Main Campus
Recruitment Type
Position Type
This is a Tenure/Tenure Track Faculty, benefits eligible position
Grant Funded?
Hours per week
If employee will be working a schedule other than Monday - Friday, 8:00am - 5:00pm, specify hours and days to be worked
If Temporary, Ending Date
Recruiting Rate
Commensurate with qualifications and experience
Beginning Salary Flexibility
Pay Basis
Required Education
Doctoral Degree
Do you want to allow additional experience to substitute for required education?
Preferred Education
Doctoral Degree
Field of Study
Candidates must have a Ph.D. degree in Electrical/Computer Engineering, Computer Science or related areas with outstanding academic credentials that clearly demonstrate their ability to conduct independent and successful research in their areas of expertise and to build cross-disciplinary research programs.
MS Office Experience Required
Word, Excel, PowerPoint, Outlook
Will this position require driving a UT or personally owned vehicle?
Other Computer and Software Skills Required
Experience and Other Skills Required
Candidates must have excellent communications skills with a commitment to engage in a high quality undergraduate and graduate education in areas of computer engineering.
Do you want to allow additional education to substitute for required experience?
Other Skills Preferred
Description of Job Duties
Responsibilities for the position include research, teaching at the graduate and undergraduate levels, program development, and service.
Posting Open Date
Posting Close Date at midnight on
Open Until Filled
Special Notes To Applicants
Note 1: -UTSA is a tobacco-free campus.
Note 2: -UTSA is an Equal Employment Opportunity/Affirmative Action Employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply.
Note 3: -This is a security sensitive position. Employment is contingent upon a successful background check.
Note 4: -Applicants who are selected for interviews must be able to show proof that they are eligible and qualified to work in the United States by time of hire.
Note 5: -Tenure is contingent on Board of Regents approval.
Note 6: -The Department is committed to creating an environment that affirms diversity across a variety of dimensions, including ethnicity/race, gender identity and expression. The university and greater San Antonio community enjoy a diversity of culture, music, restaurants, year-round outdoor recreational activity, and social opportunities.
Note 7: Incomplete applications will not be considered.
Associated topics: data center, data engineer, data integrity, data manager, data management, data warehousing, erp, hbase, mongo database, sybase


• Location: San Antonio

• Post ID: 35545932 sanantonio is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2018