Provision of expert advice and assistance, technology watch, evaluation studies, architectural considerations, applicable standards, solution patterns and best practices in Computational Linguistics, Text Analytics and Data Mining.
Elaboration of functional and non-functional requirements and business case analysis related to the text mining projects and support activities.
Impact assessment of new state-of-the-art methodologies, and relatedtechnologies and tools on the existing architectures.
Provision of proof-of-concepts and prototypes to demonstrate benefits ofthe proposed solutions against initial stakeholders' requirements.
Assistance in the implementation of the adopted software engineering methodologies and technologies;
Provision of quality control tests and technical evaluations;
Production of technical documentation.
Master Degree in Computer Science or related field & minumum 7-11 years of working experience:
Computer science or related fields, covering areas such as: Natural Language Processing, Information Extraction, Information Retrieval, Knowledge Discovery, Computational Linguistics, Machine Learning and Artificial Intelligence.
Open Source software and tools related to text mining (e.g., Lucene,Elastic Search, GATE, LingPipe, NLTK).
Designing and developing (hands-on experience) of general-purposeNatural Language Processing, Information Extraction and Web Mining core components like tokenizers, morphological analysers, named-entity recognition, name lemmatisation, geotagging, syntactic parsers, term extraction, web crawlers, web scrapers, data compression, pattern learning, etc.