Deep Learning Engineer for Language Technologies (RE2)

Organisation / Company Barcelona Supercomputing Center (BSC) Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) Established Researcher (R3) Country Spain Application Deadline 28 May 2025 - 00 : 00 (UTC) Type of Contract To be defined Job Status Negotiable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Context And Mission

The Language Technologies Unit at BSC has consolidated experience in several NLP areas, such as massive language model building, biomedical text mining, machine translation and unsupervised learning for under-resourced languages and domains. It has been entrusted by the Spanish and the Catalan governments with the mission to develop fundamental open- source resources and technologies for Spanish and Catalan. In connection with this, the LT Unit is currently in charge of two flagship projects at the national and regional level : the ALIA project, funded by the Spanish Secretariat of Digitalisation and Artificial Intelligence, and the AINA project, aimed at developing AI resources for Catalan, funded by the Catalan Digitalisation Department. In addition, the Unit participates in various EU funded international projects.

The LT Unit at BSC is looking for a research engineer with experience in Deep Learning and Natural Language Processing, or related.

The successful candidate will work in a highly sophisticated HPC environment, have access to state-of-the-art systems and computational infrastructures, and establish collaborations with experts in different areas at the local and international levels.

Key Duties

Work, in collaboration with the group members, on the design and development of the solutions needed to achieve the goals of the group’s research projects.

Collaborate with the members of the group in the generation and evaluation of language models using Deep Learning techniques (Transformers, Recurrent Neural Networks, and other neural network architectures).

All the previous points focusing on the research and deployment of post-training strategies, including instructions processing, algorithm design and evaluation of instructed LLMs.

Requirements

Conditions

The position will be located at BSC within the Life Sciences Department

We offer a full-time contract (37.5h / week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures

Duration : Open-ended contract due to technical and scientific activities linked to the project and budget duration

Holidays : 23 paid vacation days plus 24th and 31st of December per our collective agreement

Salary : we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona

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