29.3198, Jobs: Computational Linguistics; Semantics: Post Doc, University of Arizona

[The LINGUIST List]

LINGUIST List: Vol-29-3198. Fri Aug 17 2018. ISSN: 1069 - 4875.

Subject: 29.3198, Jobs: Computational Linguistics; Semantics: Post Doc, University of Arizona

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Date: Fri, 17 Aug 2018 13:33:34
From: Peter Jansen [pajansen at email.arizona.edu]
Subject: Computational Linguistics; Semantics: Post Doc, University of Arizona, USA

 
University or Organization: University of Arizona 
Department: School of Information
Job Location: Arizona, USA 
Web Address: http://www.cognitiveai.org
Job Title: Postdoctoral Research Associate
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Semantics 


Description:

Postdoctoral Research Associate I

Position Summary:
The Cognitive Artificial Intelligence Laboratory (http://www.cognitiveai.org)
in the School of Information at the University of Arizona invites applications
for a Postdoctoral Research Associate for projects specializing in natural
language processing and explanation-centered inference.

Natural language processing systems are steadily increasing performance on
inference tasks like question answering, but few systems are able to provide
explanations describing why their answers are correct. These explanations are
critical in domains like science or medicine, where user trust is paramount
and the cost of making errors is high. Our work has shown that one of the main
barriers to increasing inference and explanation capability is the ability to
combine information – for example, elementary science questions generally
require combining between 6 and 12 different facts to answer and explain, but
state-of-the-art systems generally struggle integrating more than two facts
together. The successful candidate will combine novel methods in data
collection, annotation, representation, and algorithmic development to exceed
this limitation in combining information, and apply these methods to answering
and explaining science questions.  

A talk on our recent work in this area is available here:
https://www.youtube.com/watch?v=EneqL2sr6cQ

Minimum Qualifications:
- A Ph.D. in Computer Science, Information Science, Computational Linguistics,
or a related field.
- Demonstrated interest in natural language processing or machine learning
techniques.
- Excellent verbal and written communication skills

Duties and Responsibilities:
- Engage in innovative natural language processing research
- Write and publish scientific articles describing methods and findings in
high-quality venues (e.g. ACL, EMNLP, NAACL, etc.)
- Assist in mentoring graduate and undergraduate students, and the management
of ongoing projects
- Support writing grant proposals for external funding opportunities
- Serve as a collaborative member of a team of interdisciplinary researchers

Preferred Qualifications: 
- Knowledge of computational approaches to semantic knowledge representation,
graph-based inference, and/or rule-based systems
- Experience applying machine learning methods to question answering tasks
- Knowledge of or interest in graphical visualization and/or user interface
design
- Strong scholarly writing skills and publication record

Contact Information for Candidates Questions:
Peter Jansen at the contact information provided below. 

Other Information: 
Tucson has been rated “the most affordable large city in the U.S.”. With easy
access to both a vibrant arts and culture scene and outdoor activities ranging
from hiking to rock climbing to bird watching, Tucson offers a bit of
something for everyone.

The University of Arizona is committed to meeting the needs of its
multi-varied communities by recruiting diverse faculty, staff, and students.
The University of Arizona is an EEO/AA-M/W/D/V Employer. As an equal
opportunity and affirmative action employer, the University of Arizona
recognizes the power of a diverse community and encourages applications from
individuals with varied experiences, perspectives, and backgrounds.

Outstanding UA benefits include health, dental, vision, and life insurance;
paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the
employee and qualified family members; access to UA recreation and cultural
activities; and more!



Application Deadline:  (Open until filled)
	  
Web Address for Applications: https://uacareers.com/postings/31213 
Contact Information:
	Assistant Professor Peter Jansen 
	Email: pajansen at email.arizona.edu 


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