Research Assistant / Associate Machine Learning and Natural Language Processing (80–100%)
School of Engineering FHNW, Institute for Data Science
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
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.

Your benefits:


Wide range of university sports

Cultural programme of lectures, concerts, theatre and films

Established implementation of equal pay

Targeted promotion of doctoral projects

Annual working time (42 hours/week) with the option of part-time and teleworking

Mentoring programme for career development

Start Date: immediately.
Your workplace
Hochschule für Technik FHNW
Klosterzelgstrasse 2
5210 Windisch
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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