Skip to content

Master Thesis Offers 2022-2023

Who We Are

You are looking for a master thesis in an intellectually-stimulating company?

You are fond of feedback and continuous personal development?

You want to participate in the development of solutions to address tomorrow’s challenges?

You want to develop your expertise in machine learning, artificial intelligence, high-performance computing, software engineering, etc. with a dedicated international team of engineers?

As a Data Science consultancy market leader, we at Euranova aim at implementing active technological watch dedicated to the digital transformation of businesses. 

 

  • We EXPLORE science; through our Research & Development centre. 
  • We SERVE customers; through our consultancy branch. 
  • We CRAFT products: through the creation of international innovative products.

 

We offer internships supervised by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your contribution to the company. The students will work with a dedicated international team of engineers with diverse expertise in machine learning, graph theory, artificial intelligence, high-performance computing, etc

 

Our Offers

Mater Thesis subjects are available below:

 


How To Apply?

When you have gone through our summer internships offers, pick your favourite. Draft a short text stating why you find it interesting and what you would do about it. Send us this statement, along with your CV at career@euranova.eu. If you are interested in working on a topic that is not in our range of offers, we would be delighted to hear your proposition and invite you to get in touch as well.

 

Releated Posts

Calibrate to Interpret

Trustworthy machine learning is driving a large number of the ML community works in order to improve ML acceptance and adoption. In this paper, we show a first link between uncertainty and explainability, by studying the relation between calibration and interpretation.
Read More

Mass Estimation of Planck Galaxy Clusters using Deep Learning

Galaxy cluster masses can be inferred indirectly using measurements from X-ray band, Sunyaev-Zeldovich (SZ) effect signal or optical observations. Unfortunately, all of them are affected by some bias. Alternatively, we provide an independent estimation of the cluster masses from the Planck PSZ2 catalogue of galaxy clusters using a machine-learning method.
Read More