CAREERS

Docomo Innovations, Inc.

Principal/Senior Software Engineer - Deep Learning

DOCOMO Innovations, Inc. (DII) is a subsidiary of NTT DOCOMO, Inc. in Japan, a world leader in mobile operations and a growing provider of comprehensive mobile services.

Open Services Innovation Group (OSIG) develops services using state-of-the-art technologies. We are using approaches from Machine Learning, Artificial Intelligence to build next-generation intelligent systems and services for data analysis, text analytics, machine translation and other problems.

We are looking for a Principal or Senior Software Engineer to help us improve machine learning and deep learning capabilities. The position is based in our Palo Alto office.

To view complete job details and to apply, visit: https://docomoinnovations.applicantstack. com/x/detail/a2z4hfhszcgt/aaam

The University 0f Western Ontario

Tier I Canada Research Chairin Data Science

The Departments of Computer Science and Statistical & Actuarial Sciences are pleased to announce a search for a Tier I Canada Research Chair in Data Science for a jointly appointed Tenured Appointment at the rank of Associate Professor or Full Professor. The rank will be commensurate with the successful applicant’s qualifications and experience. The candidate must have a Ph.D. in Computer Science, Statistics, Mathematics, Engineering or a related field and a demonstrated record of independent research accomplishments. The starting date will be July 1, 2018, or as negotiated.

In accordance with the regulations set for
Tier 1 Canada Research Chairs (http://www.
chairs-chaires.gc.ca), the successful candi-
date will be an outstanding and innovative re-
searcher whose accomplishments have made a
major impact; be recognized internationally as
a leader in their field; and have a superior re-
cord of attracting and supervising graduate stu-
dents and postdoctoral fellows. The successful
candidate will provide leadership in research,
foster collaborations with industry, promote
interdisciplinary scholarship, increase knowl-
edge mobilization and societal benefits, and
catalyze, in collaboration with faculty and staff,
the development of interdisciplinary graduate
and undergraduate programs in Data Science
and Analytics. The preferred candidate will
demonstrate leadership, collegiality and stra-
tegic vision through collaboration with existing
Computer Science and Statistical & Actuarial
Sciences faculty members to foster existing
and build new links between the departments.
The candidate must propose an innovative re-
search program of the highest quality that will
attract excellent trainees, students, and future
researchers and will have displayed an interest
in working on problems of industrial and/or so-
cietal relevance.
Data Science is a priority research and
teaching focus at Western University. The pre-
ferred candidate will have an internationally
peer-recognized record of research in data sci-
ence/analytics. These areas might include one
or more of the following: Machine learning,
statistical analysis and calibration of big data
sets and models, data-driven and data intensive
systems, Bayesian modeling, stream data min-
ing, spatio-temporal analysis, graph analytics,
text analytics, and visualization and analysis of
high-dimensional data.
General information abou the University can
be found at http://www.uwo.ca/ London boasts
an international airport, galleries, theatre,
music and sporting events (see http://www.
goodmovelondon.com/)
Candidates should submit a curriculum vitae,
one-page teaching statement, one-page statement
listing experience or interest in professional and/
or leadership programs, two-page research plan,
and contact details of at least three referees to:
Dianne McFadzean Department of Computer
Science, Western University, London, Ontario
N6A 5B7 [e-mail]
Applications will be considered starting Sep-
tember 30, 2017 and will continue until the posi-
tion is filled. See the full advertisement at http://
www.uwo.ca/facultyrelations/faculty/crc-tier-
1---data-science---advertisement- 2.pdf

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