佛罗里达大学机器语言或自然语言处理博后职位

2015年01月08日

来源：知识人网整理

摘要：

Job Description

The Intelligent Health Lab (iHeal) at University of Florida (UF) is looking for a postdoctoral research associate in the areas of natural language processing and machine learning.

The “Intelligent Health Lab” at biomedical engineering department as part of the biomedical informatics and big data group is conducting research in the area of developing intelligent healthcare solutions including mHealth solutions for mental health, context aware assistive systems, and emergency care solutions based on employing machine learning, data mining and natural language processing techniques. The goal of this project is to develop natural language processing and machine learning techniques for an intelligent counseling tool targeting depression and anxiety in college students. The project will be done in close collaboration with a successful startup company, TAO Connect, and with support from national science foundation (NSF).

The candidate will be responsible for coordinating the activities of the project, including helping with designing and developing the natural language processing and machine learning techniques, possibly leading a team of students and PhD candidates, managing projects, and publishing the in peer reviewed journals and conferences. To apply you must hold a PhD relevant to the research area. Also, you should have demonstrated your research competence through high-quality publications. Experience in natural language processing and machine learning is required. Knowledge in the field of statistics would be appreciated, as well as experience with project acquisitions and good management skills.

For further information regarding this position, please contact Dr. Parisa Rashidi at parisa.rashidi@ufl.edu. The position will start January 2015 or as soon as possible.

Applications including a CV, a brief description of their research interests, and a list of at least 3 references should be sent to Dr. Rashidi, no later than December 30th, 2014.

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