Senior NLP Data Scientist
vor 2 Wochen
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research, and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries.
Senior NLP Data Scientist (W/M)The Swiss Data Science Center (SDSC) is a strategic focus area of the ETH domain, with EPFL and ETH Zurich as founding partners, developing into a National Research Infrastructure in 2025. Its mission is to support academic labs, hospitals, industry, and public sector stakeholders, including cantonal and federal administrations, through their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures.
As a Senior Data Scientist with expertise in NLP working in the Research team of the Swiss Data Science Center, you will help researchers and other collaborators in academia or the public sector in Switzerland to leverage state-of-the-art NLP models. In particular, you will assist collaborators from various fields in carrying out projects based on textual or related data (potentially multi-modal), and notably in health and biomedical sciences, climate and environment, energy and sustainability, and social sciences.
This typically involves exchanging actively with collaborators and domain experts to understand the precise desiderata of the project, determining which approaches, formulations, and language models are most effective to achieve the desired goals, implementing the corresponding algorithms, performing evaluation together with collaborators, and releasing open-source code and writing research papers when appropriate.
Main duties and responsibilities include- Working on projects in NLP with collaborators from the academic and public sector.
The ideal candidate holds a PhD in NLP with experience in large language models and/or other foundation models. Of particular relevance are experience in training or fine-tuning (language) models of different sizes, familiarity with the characteristics of main language models and their applicability domains, and experience with large-scale data projects. For large language models, beyond prompt engineering techniques, familiarity with fine-tuning and transfer methodologies would be of particular interest.
We expect the candidate to be typically proficient in Python, PyTorch, and familiar with Huggingface transformers, NLTK, etc.
We offer- A stimulating, cross-disciplinary environment
- Opportunities for turning research into impactful solutions
- Excellent ties to research groups worldwide
Contract Start Date: 01/04/2025
Activity Rate: 100.00
Contract Type: CDD
Duration: 1 year renewable
Reference: 1453
ContactPlease contact Mathieu Salzmann (mathieu.salzmann@epfl.ch) or Guillaume Obozinski (guillaume.obozinski@sdsc.ethz.ch) for questions about the position (no applications).
Remark: Only candidates who applied through the EPFL website will be considered. Files sent by agencies without a mandate will not be considered.
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