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Xerox Research Centre India: Research Scientist/Engineer: Text and Graph Analytics


The team is working on challenging research problems with real life relevance pertaining to different business verticals such as Customer Care, Social Media, Healthcare, Transportation and Education.



Xerox Research Centre India At: Xerox Research Centre India
Location: Bangalore, India
Web: xrci.xerox.com


_Contact_:


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or contact Careers.XRCI@xerox.com

The Text and Graph Analytics (TGA) Research Group at Xerox Research Centre India, Bangalore is looking for best in class Research Scientists, Senior Research Scientists, Research Engineers, and Senior Research Engineers to work in a dynamic and rewarding workplace. TGA group was started in February 2014 and involves dynamic and talented researchers with Ph.D. or Masters degree from top tier institutes in India and abroad having expertise in Text Mining, Natural Language Processing, Machine Learning, Data Mining,Graph Mining and Indexing, Semantic Web, Applied Theory - Algorithms and Statistics, Network Analysis and related technical areas. The team is working on challenging research problems with real life relevance pertaining to different business verticals such as Customer Care, Social Media, Healthcare, Transportation and Education.

Roles and Responsibilities:
  • Develop new innovative technology solutions to research problems and demonstrate research solutions and prototypes
  • Actively contribute to relevant scientific communities by publishing scholarly articles and invention disclosures, attending conferences and delivering presentations
  • Identify new research opportunities and generate proposals
  • Develop strong collaborations with colleagues across Xerox Innovation Group (XIG) as well as partners from academic institutions in areas of mutual interest
  • Pursue breakthrough research in a challenging and stimulating environment and demonstrate thought leadership
  • Senior Research Scientists and Senior Research Engineers are expected to lead technical initiatives and mentor Scientists and Engineers respectively.

 
Skills and Abilities (for Text Mining):
  • Deep knowledge and experience in Statistical Text Mining, Natural Language Processing, Information Retrieval and Extraction, Lexical and Semantic Analysis, Computational Linguistics, Data Mining, applied Machine Learning and Statistics
  • Knowledge of end-to-end text and graph analytics pipeline including data access, extraction and storage, manipulation, cleaning and analysis.
  • Must possess excellent analytical skills as well as oral and written communication skills
  • Must be self-motivated to be able to thrive in a fast paced, customer-focused, collaborative environment
  • Must be able to work hands-on with minimal supervision or assistance in at least one language such as Java/C# and scripting languages such as Perl/Python/Ruby/Matlab
  • Experience with statistical & text analytics packages such as NLTK, GATE, R, Weka, RapidMiner, Gate, Lingpipe, etc.
  • Strong publication records in relevant renowned conferences and journals.

 
Skills and Abilities (for Graph Mining):
  • Deep knowledge and experience in one or more of the following:
    • Network and Graph Analysis, Graph Mining and Indexing, Approximation, Randomized and Graph Algorithms, Machine learning techniques such as clustering, classification, semi-supervised learning, spectral techniques, and kernel methods in the context of graphs.
    • Semantic Web, RDF and Linked Data, large scale Knowledge Graphs, reasoning and inferencing over Graphs, Graph query languages such as SPARQL, Graph visualization techniques, provenance/trust, semantic sensor streams.
    • Large scale graph database systems, big graph analytics systems, familiarity with large scale analytics libraries and systems such as Pregel, Giraph, Graphlab, distributed scalable development platforms such as Hadoop, Apache Spark etc.

     
  • Knowledge of end-to-end text graph analytics pipeline including data access, extraction and storage, manipulation, cleaning and analysis.
  • Must possess excellent analytical skills as well as oral and written communication skills
  • Must be self-motivated to be able to thrive in a fast paced, customer-focused, collaborative environment
  • Must be able to work hands-on with minimal supervision or assistance in at least one programming language -- C++ with STL/Java with Collections and scripting languages such as Python/Perl
  • Experience with graph analytics and machine learning packages such as Boost Graph Library, NetworkX, Gephi, R, Weka, Matlab, Octave, NLTK,
  • Strong publication records in relevant renowned conferences and journals.

 
Education and Experience:
  • Ph.D. (Masters) in computer science, computer engineering, electrical engineering, or a related engineering or science discipline from top tier institutes for Senior Research Scientist and Research Scientist (Senior Research Engineer and Research Engineer). Past demonstration of research excellence will be given preference.

 
More details about this research group can be found at:
xrci.xerox.com/data-analytics/text-and-graph-analytics

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