Scientific Employee for NLP and Machine Learning (f/x/m) 60-100%
Date de publication :
19 mars 2025Taux d'activité :
60 – 100%- Lieu de travail :Bern
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Résumé de l'emploi
Le Data Science Lab (DSL) à l'Université de Berne soutient la recherche.
Tâches
- Consultation pour des chercheurs sur des projets de NLP et AI.
- Développement d'applications web pour l'analyse de données.
- Formation continue et enseignement dans le domaine des sciences des données.
Compétences
- Diplôme universitaire requis, doctorat préféré, expérience en NLP.
- Connaissance des frameworks NLP comme Pytorch et Spacy.
- Personnalité orientée service avec bonnes compétences en communication.
Est-ce utile ?
The Data Science Lab (DSL), www.dsl.unibe.ch, is a core facility at the University of Bern. The main DSL objective is the university-wide research support in Natural Language Processing (NLP), AI, Data Science and Research IT related matters.
Tasks (% are indicative only and relative to the employment %)
• Consulting for researchers and research groups (20%).
Fictive example: A researcher from the Faculty of Theology: “I would like to do an automatic semantic comparison of the gospels, including the non-canonical Gospel of Thomas. Can you help me?”. You: “Sure, can I come to your office tomorrow?”
• Project work (60%). Concrete example: Design, develop and maintain a web application for text and speech commanded retrieval and data analysis of results from large research projects, starting with a climate project.
• Own continuing education (10%)
• Teaching (5%)
• Team internal stuff (5%)
Requirements
• University or University of Applied Sciences degree, PhD is an asset
• Experience and domain knowledge in NLP, ML and AI
• Familiar with NLP/ ML frameworks and libraries such as Pytorch, Hugging Face, Spacy, Langchain.
• Good understanding of state-of-the-art NLP models including transformer based Large Language Models.
• [Nice to have] Experience with designing workflows integrating Rest APIs with Web Frameworks.
• Experience and or interest in research and publication work
• Goal and service-oriented personality with good English communication skills, German ones are an asset
We offer
We also strongly recommend women to apply for this position. For further information, please contact E-Mail schreiben. Applications with at least two reference contacts are accepted until the position is filled. Please apply via email to the above address with your CV, diplomas, and job references. Send your application as a single PDF file.
