[Jobinfo] Fwd: [Ieee_vis_open_positions] Postdoc position in mobility visualization in urban computing at ORNL

-------- Forwarded Message --------
Subject: 	[Ieee_vis_open_positions] Postdoc position in mobility 
visualization in urban computing at ORNL
Date: 	Fri, 26 Oct 2018 23:42:38 -0400
From: 	Jibonananda Sanyal via ieee_vis_open_positions 
<ieee_vis_open_positions@listserv.uni-tuebingen.de>
Reply-To: 	Jibonananda Sanyal <jibonananda.sanyal@gmail.com>
To: 	ieee_vis_open_positions@listserv.uni-tuebingen.de



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 and analytics.


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.

*Qualifications Required*

Basic Qualifications:

·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.

·Demonstrated programming ability, and knowledge of JavaScript libraries 
such as D3, OpenLayers, or Leaflet, and big-data environments such as 
Hadoop or Kafka.

Preferred Qualifications:

·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.

*Additional Information*

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 funding.

*Please contact Jibo Sanyal (sanyalj@ornl.gov <mailto:sanyalj@ornl.gov>) 
if this is of interest.*

--

Jibonananda Sanyal, Ph.D.

Group Leader (acting), Urban Computing Group,

Oak Ridge National Laboratory

+1-865-241-5388



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