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 innovation. 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 :
In this role, you will apply your practical experience in mining and analyzing unstructured data, your deep understanding of machine learning algorithms, and your willingness to write codes to explore problems and understand data, all while solving challenging real-world problems at a large scale. You will work hand-in-hand with academic experts in domains ranging from personalized health and personalized medicine, earth and environmental science, smart manufacturing (reinforcement learning), computational social science and economics, and digital humanities.Main duties and responsibilities include :
Your profile :
The ideal candidates are researchers who are able to work independently, who are proactive and take ownership.
We are looking for multidisciplinary machine learners with sharp skills in one or more of the following fields:
The Swiss Data Science Center is a joint venture between EPFL and ETH Zurich. Its mission is to accelerate the adoption of data science and machine learning techniques within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector. In particular, it addresses the gap between those who create data, those who develop data analytics and systems, and those who could potentially extract value from it. The center is composed of a large multi-disciplinary team of data and computer scientists, and experts in select domains, with offices in Lausanne and Zurich www.datascience.ch
Applications via email or postal services will not be considered.
We offer :
Start date :
As soon as possible
Term of employment :
Work rate :
1 year, renewable
Please contact Fernando Perez-Cruz (Fernando.firstname.lastname@example.org) for questions about the position (no applications).
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.