Engineer for Language Technologies and Social Media - Barcelona, España - Barcelona Supercomputing Center (BSC)

Barcelona Supercomputing Center (BSC)

Empresa verificada

Barcelona, España

hace 2 semanas

Publicado por:

Isabel García

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Descripción

Job Reference:

119_23_LS_LT_RE2
Position:
Engineer for Language Technologies and Social Media Analysis (RE2)
Closing Date:
Friday, 31 March, 2023
Reference: 119_23_LS_LT_RE2
Job title: Engineer for Language Technologies and Social Media Analysis (RE2)
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 770 staff from 55 countries.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research.
Context And Mission
The Language Technologies Unit at BSC has a consolidated experience in several NLP areas, such as massive language model building, biomedical text mining,
Machine translation and unsupervised learning for underresourced languages and domains. It has been entrusted by the Spanish and the Catalan government with the mission to develop fundamental opensource resources and technologies for Spanish and Catalan. It also participates in several Europeanfunded research projects in NLP and MT. The LT Unit at BSC is looking for a Machine Learning engineer with experience in Language Technologies, specifically in Deep Learning and Social Media Analysis.
Key Duties
Work as main researcher in the CREXDATA project
Write research papers

Requirements:

Education
Degree in Computer Science, Telecommunications, Applied linguistics or related disciplines
Essential Knowledge and Professional Experience
Demonstrated experience in deep learning frameworks and in the relevant area(s).
Programming skills (Python, etc.)
Knowledge on version control tools, and MLOps best practices
Good level of spoken and written English
Social network analysis and Natural Language Processing
Additional Knowledge and Professional Experience
Demonstrated experience in developing open source software and resources
Proficiency in other languages besides English
Good understanding of linguistic concepts.
Competences
Ability to work independently and in a team to complete tasks on schedule.
Ability to work under set deadlines

Conditions

The position will be located at BSC within the Life Sciences Department
We offer a fulltime contract, a good working environment, a highly stimulating environment with stateoftheart infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
Duration: Openended contract due to technical and scientific activities linked to the project and budget duration
Starting date: 01/04/2023

Applications procedure and process- A full CV in English including contact details

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

At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.

For more information follow this link

DeadlineOTM-R principles for selection processes**- 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.