Tasks and Job Requirements 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
Your Profile 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
Our Offer to You Competitive salary and benefits
Flexible working hours, and the ability to combine home office with modern on-site offices. Read more on our website.
Inquiries Dr. Andreas Marfurt
Lecturer
T +41 41 349 31 25
andreas.marfurt@hslu.ch
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.
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