Computational linguist at the Text Mining unit

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Barcelona Supercomputing Center (BSC)

About BSC

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a hosting member of the PRACE European distributed supercomputing infrastructure. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 650 staff from 49 countries.

Context And Mission

The Text Mining Unit of the BSC-CNS (TeMU-BSC) is funded through the Plan de Impulso de las Tecnologías del Lenguaje de la Agenda Digital, by the Secretary of State of Telecommunications and the Information. It is the first publicly-funded text mining unit in Spain and has the aim to promote the development of natural language processing and machine translation resources for Spanish and other co-official languages in the area of biomedicine.

We are looking for candidates with a background in computational linguistics who will participate in the creation of linguistic resources for the Catalan language and in related activities within the Text Mining Unit.

Key Duties

  •     Clean, preprocess and prepare data.
  •     Build language corpora usable by the Unit’s tool, specifically neural architectures.
  •     Review and correct automatic NLP analyses, such as dependency parsing and POS annotation
  •     Automatically annotate data using state-of-the-art language processing tools.
  •     Manage corpora and language data according to the requirements specified in the Unit’s data management plan.


  • Education
    • Degree in Applied Linguistics, Computer Science or related disciplines with a very strong linguistic background.
  • Essential Knowledge and Professional Experience
    • Experience/knowledge in the NLP and/or MT fields.
    • Native speaker of Catalan.
    • Experience/knowledge in corpus annotation and generation of linguistic resources.
    • Understanding of data administration and management functions (transfer, storage, analysis, distribution, exploration, etc.).
    • Experience in working with large datasets and distributed file systems.
  • Competences
    • Ability to work independently and in a team to complete tasks on schedule.
    • Ability to work under set deadlines.


  • The position will be located at BSC within the Life Sciences Department
  • We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, tickets restaurant, private health insurance, fully support to the relocation procedures
  • Duration: Temporary - 1 year renewable
  • Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
  • Starting date: as soon as possible (November 2020)

Applications Procedure

All applications must include the following documentation in the application form in the job offer:

  • A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered
  • A full CV in English including contact details


The vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

Diversity and Equal Opportunity Employment

BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.


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