[Ieee_vis_open_positions] Postdoc position in mobility visualization in urban computing at ORNL
jibonananda.sanyal at gmail.com
Sat Oct 27 05:42:38 CEST 2018
The Urban Computing Group in the Computational Sciences and Engineering
Division (CSED) at the Oak Ridge National Laboratory (ORNL) seeks to hire a
postdoctoral researcher to serve in role that focus on visualization
techniques for high volume and high velocity mobility data visualization
The function of this position is to provide research and development
support to a number of geospatially-focused data-intensive projects that
that focus on transportation and mobility and extend into other
disciplines. The Urban Computing group is highly multi-disciplinary and the
engagement is expected to expose the candidate to a variety of scientific
domains such as urban weather and climate, building energy modeling,
situational awareness, and population dynamics while building up from core
computing application areas that include big-data, machine learning, graph
analytics, geovisualization, high-performance computing, map reduce and
distributed computing, as well as GPGPU computing. The candidate must be
comfortable working as part of a tightly integrated team and must be
capable of supporting multiple projects simultaneously.
*Responsibilities include, but are not limited to:*
· Conducting basic and applied research in mobility visualization,
web-based visualization, GPU computing, geospatial image processing,
statistical methods, graph theory, and semantic knowledge discovery with a
strong emphasis on algorithm development, prototyping, and validation.
· Develop, optimize, and transition algorithm prototypes to
scalable, parallelized, and robust implementations.
· Working with CSED researchers, as well as internal and external
project sponsors, to capture, understand, integrate, and implement their
requirements in developed algorithms and software.
· Maintain and enhance a strong scientific publication profile.
· PhD in computer science, computer engineering, geography,
mathematics, or related disciplines.
· Candidates must have demonstrated good academic standing, and the
ability to conduct independent and significant research.
· Position requires the ability to communicate effectively (both
verbal and written).
· Experience in visualization in one or more of the following
areas: web-based data visualization, geographic information systems,
big-data mining, streaming data platforms, and simulation and modeling.
libraries such as D3, OpenLayers, or Leaflet, and big-data environments
such as Hadoop or Kafka.
· Past hands-on involvement in research and development of
significant geospatial software platforms involving big-data, HPC,
web-based visual analytics, GPU computing, machine learning, and statistics.
· Strong programming experience with D3, OpenLayers, and Python.
· Knowledge of streaming sensor data as well as working with data
from simulation and modeling tools.
· Strong publication records in the areas of expertise.
· Experience with applying analytical techniques for image
statistical programming, machine learning, and knowledge extraction with
emphasis on large data management, workflows, Docker-based
containerization, and load balancing.
· Experience with Big Data technologies such as the Apache stack,
Spark, MapReduce, NoSQL databases and graph database is strongly desired.
· Strong social and communication skills and experience in working
with multidisciplinary teams.
Applicants cannot have received their PhD more than five years prior to the
date of application and must complete all degree requirements before
starting their appointment. This appointment will initially be for 24
months with a possibility of an extension of up to 12 months. Initial
appointments and extensions are subject to performance and availability of
*Please contact Jibo Sanyal (sanyalj at ornl.gov <sanyalj at ornl.gov>) if this
is of interest.*
Jibonananda Sanyal, Ph.D.
Group Leader (acting), Urban Computing Group,
Oak Ridge National Laboratory
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