The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and technology transfer. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Your mission :
You will work on solving challenges with our industry partners. You will be involved in all aspects of a data science research project, from business understanding to proof of concepts and communication of achievements. You will design and test machine learning systems to solve industry challenges. Presenting data science results to a non-technical audience will also be part of your activities.
During your work, you will have the opportunity to be coached by data scientists with an academic background as well as industry experts. When dealing with data engineering aspects, you will have the opportunity to collaborate with our system specialists. The academic environment will allow you to grow your machine learning and statistics skills thanks to trainings.
Main duties and responsibilities include :
Your profile :
Are you passionate about data science, familiar with Machine Learning and keen to deepen your experience on the topic? Are you willing to solve industry challenges while being coached by experienced data scientists? You’d love to work in a start up like mind-set, but think that collaborating with an academic structure is a definite plus?
If you can answer yes to these questions, you should consider joining us. Together we could help move the Swiss Industry to the next level of data science. We are building a team of passionate data scientists to tackle business challenges and provide actionable results.
We are a looking for candidates with the following profile:
We offer :
About us :
The Swiss data science Center (SDSC) is a joint venture between EPFL and ETH Zürich. We have been mandated by the Swiss Confederation to accelerate the adoption of data science in academia and industry. SDSC resources are split between EPFL and ETH Zürich. The team is very international and composed of data scientists passionate about solving data related challenges, and computer scientists enthusiastically developing RENKU, an open access software solution aiming to make data science collaborative and sustainable.
Start date :
As soon as possible
Term of employment :
Work rate :
1 year, renewable
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered