Scientific Employee for NLP and Machine Learning (f/x/m) 60-100%
Publication date:
19 March 2025Workload:
60 – 100%- Place of work:Bern
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Job summary
The Data Science Lab at the University of Bern supports research in NLP.
Tasks
- Consult with researchers on NLP and AI projects.
- Develop and maintain web applications for research data.
- Engage in teaching and continuous education activities.
Skills
- Degree in a relevant field; PhD is a plus.
- Experience with NLP, ML, and AI frameworks like Pytorch.
- Strong communication skills; German knowledge is a plus.
Is this helpful?
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.
