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Research Assistant / Pairwise Comparison of Subvectors in a Large Number of Matrices

10%-30%, Zurich, fixed-term

Drucken 

The chair pursues research mainly in the areas of applied international and public economics and in applied econometrics. Research output is disseminated mainly via two channels: presentations at international conferences and workshops and publications in leading academic journals in economics.

Project background

We have fully vectorized data of a large number of musical scores. Each score is represented by a matrix. The goal is to pairwise compare n-grams (snippets of fixed size) between all these scores to establish similarity scores for all pairs of pieces.

Job description

The data size is very large, and one needs to approach the problem in a simplified (condensed) way:

  • Consider the most relevant columns in a piece (to be specified based on an informed guess).
  • Consider random parts of pieces (or parts of the parts of pieces) rather than the full matrix.
  • Assess the quality of the “simplified’’ approach using a small set of complete score comparisons.

Profile

We look for a student with proficiency in both C++ or RUST as well as Python.

Python routines exist already to do the mentioned tasks for full matrices, but the following needs to be considered:

  • The routines need to be adjusted to conduct the approach based on random snippets in selected data.
  • Python is slow and C++ or RUST would be much faster.

Workplace

Workplace

We offer

  • Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
  • We are actively committed to a sustainable and climate-neutral university
  • You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits
Working, teaching and research at ETH Zurich

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Curious? So are we.

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

- Recent CV

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 CAE can be found on our website Homepage – Applied Economics: Innovation and Internationalization | ETH Zurich .Questions regarding the position should be directed to Loumeau Gabriel, email g.s.loumeau@vu.nl  (no applications).

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

For recruitment services the GTC of ETH Zurich 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.