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Postdoc position on Machine Learning at Biomedical Natural Language Processing (BioNLP) group of UMass

Country : USA - United States

Website : http://www.bio-nlp.org/postdoc-ad-2014.txt

Description

University of Massachusetts Medical School Post Doc Assoc in Worcester, Massachusetts, United States
Post Doc Assoc
Requisition Number 2014-*****
# of Openings 2
Job Location US-MA-Worcester
Posted Date 01/20/2014
Shift Day
Exempt/Non-Exempt Status Exempt
Minimum Salary
Maximum Salary
Union Code Non Union Position-W63-Residents/Post Docs
More information about this job:
Overview:
We are seeking 1~2 highly motivated postdoctoral research associate to
join Prof. Hong Yu's Biomedical Natural Language Processing (BioNLP)
group at UMass Medical School and UMass Amherst. This position will
primarily be located at the UMass Medical School in Worcester, MA. The
BioNLP group is actively pursuing projects in figure search and
summarization, question answering in the biomedical domain, and
adverse drug event detection.
Responsibilities:
The successful candidates will help investigate new algorithms to
support our current research thrusts. This will require extensive
experience with data mining (DM) and implementing machine learning
(ML) systems. A plus will be background in computer vision, especially
with text detection or figure search and analysis.
Qualifications:
Candidates for this position should have a PhD in Computer Science or
related field and a significant technical track record including
publications in top conferences and journals in:
* Machine Learning,
* Data Mining, and/or
* Computer Vision/Pattern Recognition
Proficiency in quantitative analytical methods and strong programming
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
extensive research experience in hands-on machine learning (ML) and
data mining (DM), is essential. Additional experience in
bioinformatics or figure search and analysis is desirable.
Successful applicants will join a vibrant collaborative research
environment, will work closely with clinical investigators and senior
personnel in the lab, and should have the ability to work effectively
both independently and as part of a multidisciplinary team. The
position will be for one year, renewable for a second year, starting
Summer or Fall 2014.
Application:
Please apply by email to Dr. Ricky J. Sethi and
include a brief letter of introduction, a CV including list of
publications in PDF format, and names and email addresses of 2-3 referees.
Background:
Professor Hong Yu's group in the division of Health Informatics and
Implementation Science in the Department of Quantitative Health Sciences (http:
//www.umassmed.edu/Content.aspx?id=146084&linkidentifier=id&itemid=146084) has
multiple postdoctoral positions for natural language processing (NLP), machine
learning and data mining, with a focus on clinical and biomedical applications.
Professor Yu holds faculty positions at University of Massachusetts Department
of Quantitative Health Sciences and Department of Computer Science the Center
for Intelligent Information Retrieval (CIIR,http://ciir.cs.umass.edu/), and VA
Central Western Massachusetts (http://www.centralwesternmass.va.gov/), and she
has led the development of multiple information retrieval and question
answering systems including AskHERMES (http://www.askhermes.org), figure search
(http://figuresearch.askhermes.org),
annotation (http://www.biodiscourserelation.org/) and adverse drug event
detection system (http://www.aderepository.org).
The University of Massachusetts Medical School, one of the fastest
growing academic health centers in the country, has built a reputation
as a world-class research institution, consistently producing
noteworthy advances in clinical and basic research. The Medical School
attracts more than $174 million in research funding annually, 80
percent of which comes from federal funding sources. UMMS is the
academic partner of UMass Memorial Health Care, the largest health
care provider in Central Massachusetts.
The goal of the Department of Quantitative Health Sciences (QHS) is to
improve population and individual health by transforming health care
delivery through methodological innovation and to become a nationally
and internationally recognized resource for translational research.
The Department has a three-pronged mission:
* to fulfill the quantitative health science needs of the academic medical
center as it moves towards its vision of becoming a leader in clinical and
translational research;
* to train the next generation of scientists that will fulfill the Vision; and
* to weave service to the academic medical center into discovery of new
approaches to solve the health care needs of the nation and world.
Currently, QHS has over 38 active extramural grants and contracts
amounting to a total funding of $31.7 million annually. During the
academic year 2010/11, QHS primary faculty published over 180
peer-reviewed manuscripts. The Quantitative Methods Core, a service
unit for methodological research support and data management, is
housed in QHS.
The Center for Intelligent Information Retrieval (CIIR) of UMass
Computer Science is one of the leading research groups working in the
areas of information retrieval and information extraction. The CIIR
studies and develops tools that provide effective and efficient access
to large networks of heterogeneous, multimedia information.
CIIR accomplishments include significant research advances in the
areas of retrieval models, distributed information retrieval,
information filtering, information extraction, topic models, social
network analysis, multimedia indexing and retrieval, document image
processing, search engine architecture, text mining, structured data
retrieval, summarization, evaluation, novelty detection, resource
discovery, interfaces and visualization, digital libraries,
computational social science, and cross-lingual information retrieval.
The CIIR has published more than 900 papers on these areas, and has
worked with over 90 government and industry partners on research and
technology transfer. Open source software supported by the Center is
being used worldwide.
Benefits:
University of Massachusetts Medical School offers competitive salaries
and benefits. The benefits
(http://www.umassmed.edu/hr/benefits/index.aspx) include comprehensive
health, dental and life insurance, a long-term disability coverage, a
retirement plan and flexible spending accounts. In addition, the
tuition waiver and remission plans exist for employees, spouses,
dependent children to age 25 at UMass campuses (excluding UMMS MD
program) and State and Community College and State Universities. The
University also provides benefits for child care assistance, vision
insurance, home owner's insurance, employee discount plans and auto
insurance.
Additional Information:
As an equal opportunity and affirmative action employer, UMMS
recognizes the power of a diverse community and encourages
applications from individuals with varied experiences, perspectives
and backgrounds.
Review of applications will begin immediately and the position will
remain open until filled.
Competitive Salary based on experience.

Last modified: 2014-03-16 16:48:11