There are two internships open. Please scroll down to find the description of both.

Data scientist Internship (80% - 100%)

Bayesian modeling of strong gravitational lenses observed with Euclid and JWST - Code Optimisation and Parallelisation

Starting date: as soon as possible

Location: Winterthur Switzerland

Contract Duration: 5-6 months

The present project aims to port a high-performance code for the study and modeling of strong gravitational lenses on highly parallel architectures and GPUs. The code is entirely based on Bayesian principles and is implemented in Julia, a programming language that offers many advantages in the scientific field and that lends itself very well to the development of parallel code. The realization of the project will require a significant investment of time, largely related to the implementation of the code and porting to parallel architectures, and the purchase of a server with a scientific GPU card dedicated to data analysis. Upon its completion, the proposed project will be able to bridge the gap that currently exists between the complexity of optical data produced by new generation space telescopes, such as Euclid and JWST, and the current capabilities of gravitational lens modeling. In this way, it will finally be possible to analyze complex gravitational lens systems such as galaxy clusters based on the use of extended images and giant arcs with tens or hundreds of multiple image families, and it will be possible to verify through hypothesis testing based on Bayesian techniques the presence of substructures in the dark matter halos of the lens.

About TOELT

TOELT is an innovative company based in Switzerland that does cutting edge research in the field of machine learning (and especially deep learning). We participate in large international research projects in various fields: medicine, smart agriculture, satellite imaging, thermal imaging of facial features, and many more. We work with more than 6 nations (from Spain, Belgium to Italy and Greece) on several large European funded projects and with large clients in Switzerland. We collaborate with universities and industry partners. Our goal is to advance the state of the art in several machine learning areas and to make it available to people, thus making it impactful. We publish regularly in peer-reviewed journals and we present at international conferences.

Preferred Qualifications

  • Must have a valid work permit for Switzerland

  • Must be able to work independently on complex projects.

Minimum Qualifications

We are looking for a master student (close to finishing the master or with the master recently obtained) in a scientific field, as physics, chemistry, engineering or computer science for an internship. 

  • We expect experience in programming in Python. In particular experience in Julia is a real plus.

  • Duration March until September, for a 50-80% position.

How to apply

To apply please send your CV to jobs@toelt.ai.

If available, we kindly ask the candidate to include at least one example of projects the candidate has worked on in data science (in the form of a GitHub repository).