Post-DocApplications Closed
Martin Krallinger
Unknown Organization
Barcelona, Spain
Apply by Dec 16, 2025
Application deadline
Dec 16, 2025
Job
Job location
Martin Krallinger
Barcelona, Spain
Geocoding in progress.
Source: legacy
Quick Information
Application Deadline
Dec 16, 2025
Start Date
Flexible
Education Required
See description
Experience Level
Not specified
Job
Job location
Martin Krallinger
Job Description
The NLP4BIA group at the Barcelona Supercomputing Center (BSC) is looking for a post-doctoral researcher with expertise in data science, NLP and LMs. The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and clinical data. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis. The NLP4BIA-BSC is looking for a Postdoctoral Research Engineer with experience in Language Technologies and Deep Learning. The candidate will be involved in technical work related to international projects, being part of a team of researchers working on topics related to multilingual information extraction in the clinical field, including Named-Entity Recognition, Entity Linking and Language Modeling. The candidate will have the opportunity to advance the state of the art of cross-lingual biomedical NLP methods by working in a multidisciplinary environment alongside linguists, medical experts, and other engineers. The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
Requirements
- Education: University degree in Computer Science
- Computational Linguistics
- or other engineering / science degree. PhD in Computer Science
- Computational Linguistics
- or similar. Essential Knowledge and Professional Experience: Experience in Natural Language Processing technologies
- preferable with some publication track record or projects in the field of LLMs/Deep Learning/NLP. Ability to design
- implement
- and evaluate existing NLP and LMs models. Experience in developing models using transformer architectures. Practical experience with deep learning libraries (e.g. Pytorch
- TensorFlow
- Spacy
- Transformers…). Knowledge of deep learning methods for fine-tuning large language models. Advanced programming skills in Python. Experience in software development resources (Git). Additional Knowledge and Professional Experience: Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous. Competences: Ability to work in a team and in a multi-cultural environment. Good communication and presentation skills. Technical writing skills. A proactive mindset
- with creativity to design new solutions. Ability to work effectively both autonomously and as part of an interdisciplinary team. Comfortable working under pressure and meeting strict deadlines. Proactive working style.
Job
Job location
Martin Krallinger
Coordinates pending.
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