Visual Thinking Laboratory
Department of Library & Information Sciences
College of Information
University of North Texas
1155 Union Circle 311068
Denton, TX 76203-5107
940.206.1172
I am seeking a full-time post-doctoral researcher to join my lab at the School of Information Resources and Library Science, University of Arizona. The researcher will work full time on a NSF funded project that will employ natural language processing techniques
to extract organism character/trait information from the evolutionary literature for the purpose of constructing the tree of life. At the University of Arizona, our focus is on natural language processing techniques, but the researcher will also have the
opportunity to work with a team of biologists, computer scientists, and paleontologists from ten universities. Cost of relocation from another state will be reimbursed.
Position start date: As soon as a candidate is selected.
Salary: $45,000 with 3% increase annually
Qualifications: 1. Must have an earned Ph.D (or close to completion) in Computer
Science, Information Science, Biology, or related fields 2. Must have experience with Java programming language and
application development environment such as Eclipse. 3. Knowledge and experience in natural language processing
such as regular expression pattern match, syntactic parsing, and/or semantic analysis are highly desirable but not required 4. Knowledge and background in systematics and/or evolutionary
biology are highly desirable but not required
Responsibilities: The post-doc researcher will be involved in 1) activities
related to developing, implementing, and evaluating natural language processing algorithms, 2) communicating with other collaborators and participating in project meetings, including short visits to other sites, 3) activities related to project management,
such as project reporting to NSF., 4) activities related to publish and present research findings, and 5) other miscellaneous activities related to the project in general.
Application: Applications are reviewed immediately until
a candidate is selected. Please send cover page, CV, and three letters of recommendation via the UA Career application system (https://www.uacareertrack.com/,
search for Job Number: 49679) .
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Hong Cui, Ph.D
Assistant Professor, Information Technology
School of Information Resource and Library Science
University of Arizona