Scientific Position for NLP and Machine Learning (University of Bern)

Scientific Employee for NLP and Machine Learning (f/x/m) 60-100% 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%). Fictitious 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 • Scientific staff employment for 2 years with possible extension • International and university-wide research environment • Extremely nice, multidisciplinary and engaged team • Learning on the job • Offices close to the main railway station of Bern, the best city on the planet • Conditions according to cantonal regulations and flexible working hours • Time for own continuing education and development • All amenities of university employees We also strongly recommend women to apply for this position. For further information, please contact info.dsl@unibe.ch. 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. If you apply for this position please say you saw it on Computeroxy

Scientific Employee for NLP and Machine Learning (f/x/m)
60-100%

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%).
Fictitious 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

• Scientific staff employment for 2 years with possible extension
• International and university-wide research environment
• Extremely nice, multidisciplinary and engaged team
• Learning on the job
• Offices close to the main railway station of Bern, the best city on the planet
• Conditions according to cantonal regulations and flexible working hours
• Time for own continuing education and development
• All amenities of university employees

We also strongly recommend women to apply for this position. For further information, please contact info.dsl@unibe.ch. 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.

If you apply for this position please say you saw it on Computeroxy

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