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Student Assistant (HiWi) for Python Code Development in AI and Computer Vision Projects within the Manufacturing Domain in Zürich

Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.


Zurich, fixed-term

The AMLZ at ETH Zurich invites applications for a HiWi position focused on Python code development within AI-driven manufacturing projects. If you have a knack for Python and would like to develop code for software focused on AI in manufacturing, this might be the job for you!

Job description

The Advanced Manufacturing Lab Zurich (AMLZ) at ETH Zurich is looking for a HiWi with Python skills to support code development. The appointed HiWi will be involved in coding tasks central to projects focusing on AI and computer vision in the manufacturing sector.

Consequently, a solid foundation in Python, algorithmization and Git is essential for this role. Familiarity with PyTorch and GUI frameworks such as PyQt is viewed favourably and adds significant value to the candidate's profile. While a basic understanding of AI and computer vision is beneficial, it is not a strict requirement for the role.

Moreover, familiarity with the manufacturing domain is not a prerequisite.

Finally, it should be noted that the position is not limited to a fixed term and therefore offers flexibility and the opportunity for long-term collaboration. Candidates are encouraged to begin their involvement as early as possible, with the expectation that they will commit to 15 hours per week during academic semesters. There is also the possibility of a full-time commitment outside of semester periods.

Your profile
  • Enrolled as a Bachelor's or Master's degree student
  • Commitment to work for 15 hours per week during the academic semester, with the possibility to extend to full-time during semester breaks
  • Open to a long-term engagement, ideally for a minimum of 6 months, with a preference for 12 months or more
  • Proficient in coding, with a strong emphasis on Python + familiarity of Git
  • Prior experience with machine learning, especially using PyTorch, is considered beneficial
  • Prior experience with computer vision is considered beneficial
  • Prior experience with GUI frameworks such as PyQt is considered beneficial
Your workplace
Your workplace

We offer

We offer a welcoming working environment that encourages the contribution of personal ideas. Working hours are highly flexible, as long as the job is done. Remote working is certainly possible. In addition, we offer a standard ETH student assistent compensation. Above all, we present opportunities to engage in interesting projects.

We value diversity
In line with , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.

We look forward to receiving your online application with the following documents:

  • CV (obligatory)
  • Transcript of Records (advantageous)
  • Portfolio (advantageous)

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about Advanced Manufacturing Lab can be found on our . Questions regarding the position should be directed to Jan Petrik, jpetrik@ethz.ch (no applications).

For recruitment services the apply.

About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

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