Polytechnique de Montréal, Canada, opens one post-doctoral research
position in Machine Learning and Data Mining.
Project: Automated monitoring and debugging of large scale manycore
heterogeneous systems
Supervisor: Daniel Aloise
Job Description: The post-doc will work on the automatic control of
tracing, monitoring and debugging sessions in the monitored systems. Given
the increasing systems sophistication and the thousands of cores, new
machine learning algorithms are on demand to automate the analysis of the
extracted monitoring data, thus reducing the manual intervention required
to detect, diagnose and correct problems.
Contract : The annual gross salary is roughly $67,000 CAN. This position
may be renewable annually to a maximum of three years.
Requirements: The position is primarily aimed at recently graduated
doctoral students (0-4 years from completing their Ph.D.)
Application: Please send your application before February 15, 2018, to
daniel.aloise@polymtl.ca. Applications should include curriculum vitae,
statement of research interests and two contacts information for
recommendation letters.
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