Connectionists: Postdoctoral position in Machine learning/Natural language processing/Biomedical image processing
Kordjamshidi, Parisa
pkordjam at tulane.edu
Thu May 10 16:33:47 EDT 2018
Tulane University: Computer Science
Location: New Orleans, LA
Open Date: Apr 9, 2018
Deadline: Aug 15, 2018
Description
The postdoctoral fellow will work with Parisa Kordjamshidi’s research group. There are three possible research directions depending on the interests, expertise and the qualifications of the candidate:
1) Processing biomedical images as well as signals taken from artificial nerve tissues.
2) Natural language processing and extraction of semantics from language. In this direction we are interested in combining visual and textual data for understanding spatial information.
3) Research and development related to declarative learning based programming. In developing this framework, our goal is to facilitate the design of structured machine learning techniques where we enable using declarative domain knowledge in learning.
Qualifications
Minimum qualifications:
▪ Knowledge in machine learning techniques and application to the problem domains announced in the position description
▪ Publication record with peer-reviewed publications
▪ Good communication and teamwork skills
▪ Interest in attending conferences
▪ Ability to handle deadlines
▪ PhD in computer science or related area.
Preferred qualifications:
▪ Experience and interest in open source software development
▪ Excellent programming and software development skills
Application Instructions
Candidates must apply via Interfolio (https://apply.interfolio.com/49982) and provide the following: a CV, cover letter, and at least three letters of recommendation.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Equal Employment Opportunity Statement
Tulane University is an Equal Employment Opportunity/Affirmative Action institution committed to excellence through diversity. Tulane University will not discriminate based upon race, ethnicity, color, sex, religion, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, marital status, military or veteran status, or any other status or classification protected by federal, state, or local law. All eligible candidates are encouraged to apply.
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Kordjamshidi, Parisa
Assistant Professor
CS Department at Tulane University
Research Scientist at IHMC<https://www.ihmc.us>
Homepage<http://www.cs.tulane.edu/~pkordjam/>
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