Text Mining research position at my group (Barcelona Supercomputing Center, Text Mining Unit)

We are looking for a motivated Text Mining researcher at my group, please
share with potential candidates or apply if you are interested in the
position.


Reference: 16_22_LS_TM_RE2
Job: Text Mining research position at Barcelona Supercomputing Center
URL: https://www.bsc.es/join-us/job-opportunities/1622lstmre2
<https://lnkd.in/eVxqvT2W>

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 search for a technical researcher in bioinformatics, medical
informatics, natural language processing, computational linguistics or
language engineering with a strong background in Machine Learning (ML), who
will be responsible of the integration of data and the implementation of
search tools into the platform for natural language processing designed by
the unit.

Key Duties

Design, implementation, and evaluation of text mining, NLP, deep learning
and ML tools and models applied to the clinical and biomedical application
domain.
Coordination and organization of shared tasks and evaluation campaigns
(like IberLEF, CLEF eHealth,..).
Technical coordination and supervision of Gold Standard annotation projects
to generate high-quality text corpora.

Requirements

Education:
University degree in computer science, mathematics, statistics, data
scientist, physics, bioinformatics, telecommunications, electrical
engineering or equivalent.

Essential Knowledge and Professional Experience:
Experience with Deep Learning and statistical data mining frameworks:
Keras, Tensorflow, PySpark, PyTorch, Spacy, etc.
Experience with ML algorithms and techniques: LDA, Topic Modelling, LSTM,
KNN, SVM, Decision Trees, Clustering, Word Embeddings, etc.
Experience in the development or management of software resources/tools,
Github + github projects.
Experience with NLP components and platforms.

Additional Knowledge and Professional Experience:
Strong programming skills in at least one of the following languages: Java,
Python, C++, Scala, R.
Experience and skills related to bash, Docker, Kubernetes, Unity testing,
Collab

Competences:
Good communication and presentation skills.
Strong technical writing skills.
Ability to work both independently and within a team.
Used to work under pressure under strict deadlines

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Martin Krallinger, Dr.
Head of Biological Text Mining Unit
Barcelona Supercomputing Center (BSC-CNS)
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