R sig jobs - Jul 2014 - Research Scientist positions at University of Washington

Multiple Research Scientist positions are available at the University of
Washington (UW) Center for Data Science (http://cwds.uw.edu) located at the UW
Tacoma campus for outstanding researchers to conduct applied social good
oriented multidisciplinary research in areas including:

Bioinformatics (with Prof. Ka Yee Yeung), Data Science (Prof. Senjuti Basu Roy),
Geospatial Informatics & Mobile Computing (Prof. Mohamed Ali and Prof. Ling
Ding), Healthcare Analytics (Prof. Ankur Teredesai), and Machine Learning &
Computational Intelligence (Prof. Martine De Cock).

The Research Scientist will work with this collaborative team on multiyear
funded projects with access to real-world datasets, well-known industry
partners, and a track-record of deployed applications. The team comprises of
faculty and postdocs publishing at high impact venues, and highly-talented
engineers with significant industry experience leading to innovate demonstrable
solutions. Our culture encourages recent Masters and Ph.D.s to develop an
interest in growing both their engineering skills to handle large datasets and
bring an entrepreneurial spirit to work on societal data science.

The current projects involve:
1.	The underlying theme of our computational biology projects is to develop
machine learning methods for the mining of big ?omics? data in biology. Our
overarching goal is to develop personalized medicine that uses genetic
information to tailor therapy for individual patients.  Collaboration with an
interdisciplinary team (e.g. clinicians and biologists) is an essential
component in our projects.
2.	Health Care Analytics effort focuses on advancing the state of the art
through development of advanced algorithms as well as deployment of real world
tools that can be applied effectively across a number of users scenarios.
3.	A mobile ad-hoc network is an infrastructure-less network consisting of
wireless-capable mobile devices moving freely and independently from other
wireless devices in the same network. Due to the low node density and unstable
network topology in this type of networks, end-to-end routing is impossible.
Mobility-assisted data access technique becomes a practical choice. This project
is to study how to achieve efficient data dissemination in mobile ad-hoc
networks. Candidates with background of game theory, networking, algorithm, and
GIS are welcome.
4.	The Healthcare Big Data Stack project leverages open-source technologies for
solving challenging issues in database management and data mining for varied and
complex healthcare data including claims data, clinical data, patient encounter
data as well as us government datasets to enable machine learning researchers to
rapidly prototype healthcare applications that help save costs and provide
robust predictive analytics for chronic diseases.


Qualifications:
?	A recent Masters or Ph.D. in Computer Science, Statistics, Engineering,
specialized in the above areas, or any physical sciences with a strong
background in mathematics and computing.
?	Demonstrated expertise in solving challenging problems in one or more of the
above areas.
?	Preference given to candidates with interest in applying their skills in
multidisciplinary application domains.
?	Demonstrated expertise in technical writing as evidenced by publication
record.
?	Strong interpersonal communication skills and ability to interact with peers
as well as students.
?	Ability and interest to conduct independent yet collaborative research.

Responsibilities
?	conducting innovative research.
?	managing project goals and driving outcomes.
?	writing high-quality research papers.
?	participating in writing and applying for grants.
?	mentoring and teaching undergraduate and graduate students.

The Institute of Technology which is the academic home for the Center for Data
Science at UW Tacoma has a well-established computer science, computer
engineering and Information Technology curriculum and provides excellent
small-classroom environment and access to expert teaching focused faculty as
mentors to new teachers to help develop and grow teaching skills.

Please send a CV, short research statement, and list of references to kayee at
uw.edu.