Student Assistant in Uncertainty Quantification Software development

30%-50%, Zurich, temporary

The Chair of Computational Science (CSElab) at ETH Zurich invites applications for undergraduate and Master students to fill an available position as a student assistant at our laboratory.

Job description

The applicant will be primarily working as a developer in the the CSElab's Bayesian Uncertainty Quantification and Optimization framework, Korali. The Korali framework implements state-of-the-art algorithms for scalable, high-performance statistical analysis. The assistant will collaborate with Korali researchers to extend the statistical algorithms of the software.
We require the assistant to be present at our office during their workhours. Our office is located near the ETH Zurich main building, and our working language is English. The appointment duration and hours are flexible and based on the workload. Salaries are internationally competitive, paid according to ETH standards.

Your profile

The ideal candidate will be an undergraduate/Master student with a strong background in programming and a good understanding of statistics. Experience to at least one of the following items is mandatory: (a) Monte Carlo algorithms, (b) optimization algorithms, (c) Bayesian inference of parametric models (d) Reinforcement Learning. The candidate should have good knowledge of Python and C/C++.

ETH Zurich

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.
Working, teaching and research at ETH Zurich Link icon


We look forward to receiving your online application, including a cover letter, CV, university transcripts, a portfolio of previous work. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
For further information, please visit Questions regarding the position should be directed to Dr. George Arampatzis by email at (no applications).

Your workplace