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Research Assistant / Associate Machine Learning and Natural Language Processing (80–100%)

Closing Date
WorkplaceWindisch, North West Switzerland, Switzerland
DurationThe position is initially limited to three years.
Occupation rate
80% - 100%
Job StartStart Date: immediately.

Flexibility, self-determination, creativity, interdisciplinarity - our mission


Your tasks
  • design, implement, train, and evaluate models for NLP applications, in particular large language models as well as speech-to-text and text-to-speech solutions
  • integrate the models into operative applications using various frameworks and high-performance computing infrastructure
  • possibly take part in our teaching activities

The position is initially limited to three years.


Your profile
  • Master’s or Bachelor’s degree in Data Science or Computer Science, or equivalent professional experiences, ML and DL experience required and NLP knowledge an advantage
  • strong interest in bringing ML, DL, NLP, and novel data science methods to operation
  • experience in ML and data analysis, proven programming skills and experience with DL frameworks (Python, TensorFlow, PyTorch, etc.)
  • desire to work in a team, with regular exchange and co-development

We offer

Your prospects:

The FHNW Institute for Data Science has a long and successful track record of conducting basic and applied research projects in the domains of data science, machine learning (ML), deep learning (DL), and natural language processing (NLP). We seek a research assistant or research associate contributing to the development of applied research projects with industry and academic partners. The successful applicant will work in a team with researchers experienced in AI, ML and data science and contribute to the goal of advancing novel technologies for real-world applications.

Contact and Address

Any questions?
About the position: Prof. Dr. Daniel Perruchoud, Professor for Data Science, Contact: 056 202 8341 About the recruiting process: Antje Nawroth, HR Manager, Contact: +41 56 202 72 07

Will you soon belong to our team? We look forward to your application before 20 October 2023.


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In your application, please refer to myScience.ch and reference JobID 62286.