Postdoctoral Fellowship in Text Mining and Semantic Modeling at Indiana University (USA)
The Cognitive Science Program at Indiana University in Bloomington is seeking to fill a postdoc position in the area of text mining and knowledge discovery, with particular focus on topic discovery in large text corpora. Salary is consistent with current NIH guidelines, ranging from $38,496 to $53,112 plus a modest travel allowance. The position is available for up to four years, beginning on or after September 1, 2012. Application Deadline: 31-Aug-2012
The position will be held under the supervision of Dr. Michael Jones in the IU Cognitive Computing Laboratory (http://www.indiana.edu/~clcl/). The postdoc will be part of a large multisite project exploring automatic discovery and extraction of semantic topics from large databases of scientific articles. The ideal candidate will have a strong background in computational techniques for large-scale text mining and topic modeling including, but not limited to, LDA-based topic models, NLP techniques, machine learning, and cognitive modeling. A strong programming background is expected. Working knowledge of the neuroimaging literature, basic neuroanatomy, and cognitive experiments is desirable, but not necessary. Candidates must have a PhD in computing science, linguistics, psychology, or a related field.
Interested applicants are encouraged to send via email attachments an up-to-date CV and the names of three referees who can describe the applicant’s background, interests, and research potential to Michael Jones (jonesmn@indiana.edu). Reprints and preprints of any prior research or scholarly activities should also be sent if possible. Women, members of underrepresented groups, and handicapped individuals are urged to apply. Indiana University is an Affirmative Action Employer.
Alternatively, applicant information may be mailed to:
Dr. Michael Jones
Department of Psychological and Brain Sciences
Indiana University
Bloomington, IN, 47405
The Cognitive Science Program at Indiana University (http://cogs.indiana.edu/) has a long history of pioneering work in computational and mathematical modeling of human cognition, and has a strong international reputation in modern computational approaches to cognitive science.
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