PhD Candidate in Natural Language Processing (NLP) 70%

• Develop creative solutions to challenging applied research problems
• Collaborate with industry partners to improve products with a real-world impact
• Run experiments with large language models (LLM) on our GPU cluster
• Design new evaluation techniques for a better understanding of your algorithms
• Communicate your research findings internally, to industry partners and the broader research community
• Publish results in peer-reviewed proceedings
• Attend and present at international conferences
• Work closely with academic supervisors and contribute to joint publications
• Stay up to date with relevant literature and technological developments
• Supervise student theses and projects and potentially teach classes or exercise sessions

• Master's degree (completed) in Computer Science, Computational Linguistics, Data Science, or related field
• Strong software engineering skills
• Proficiency in Python and PyTorch/TensorFlow
• Background in NLP and machine learning
• Strong problem-solving skills paired with critical, constructive and logical thinking
• High level of curiosity for advancing science in NLP
• Independent and structured working style
• Excellent written and spoken English
• Proven ability to work collaboratively in a team
• Current residence in and knowledge of the Swiss/European economic, research, and education systems is advantageous

• competitive salary and benefits
• have flexible working hours, and combine home office with modern on-site offices. Read more on our website.

The largest educational institution of the six Central Swiss cantons, the Lucerne University of Applied Sciences and Arts offers state-of-the-art jobs and programmes. We share knowledge in Switzerland and abroad, we are forward-looking, creative, and committed to interdisciplinarity. Help us to shape and become a part of our shared, sustainable future.