- Contribute to the development of Machine Learning and Deep Learning applications for the automation and acceleration of the Blue Brain Project scientific activities.
- Document, communicate, and present quantitative analyses and results to managers and stakeholders
- Python programming language.
- UNIX operating system.
- Machine Learning and Deep Learning principles and methods.
- Statistical principles and methods.
- Python libraries for Data Science and Machine Learning (numpy, sklearn, pandas,...).
- A Python framework for Deep Learning (TensorFlow, Keras, or PyTorch).
- Great team player.
- Excellent presentation skills.
- Natural Language Processing applications (embeddings, sentence classification, named entity recognition, ...).
- Computer Vision applications (image classification, semantic segmentation, object detection, ...).
- Docker framework.
- SQL language.
- Software development life-cycle (software packaging, unit testing, continuous integration, debugging, documentation, ...).
- Advanced degree (MSc or PhD) in a quantitative field – e.g. Computer Science, Applied Mathematics, Data Science.
- Two years of relevant experience.
- Strong personal motivation, interest in the field, and eager to learn.
- A world-recognized leader in simulation-based research in neuroscience
- A dynamic, multidisciplinary, international and collaborative working environment committed to benefitting the global community
- State-of-the-art hardware dedicated to the development of Machine Learning and Deep Learning applications.
- A modern working environment, based at the Biotech Campus in Geneva Sécheron
Company
Location
Geneva - Switzerland
Job type
Full-Time
Python Job Details
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 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 more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.
Machine Learning Engineer (W/M)
Your mission :
The aim of the EPFL Blue Brain Project (BBP), a Swiss brain research initiative founded and directed by Professor Henry Markram, is to establish simulation neuroscience as a complementary approach alongside experimental, theoretical and clinical neuroscience to understanding the brain, by building the world’s first biologically detailed digital reconstructions and simulations of the mouse brain.
To strengthen our Machine Learning team, we are looking for a Machine Learning Engineer (W/M).
The aim of the EPFL Blue Brain Project (BBP), a Swiss brain research initiative founded and directed by Professor Henry Markram, is to establish simulation neuroscience as a complementary approach alongside experimental, theoretical and clinical neuroscience to understanding the brain, by building the world’s first biologically detailed digital reconstructions and simulations of the mouse brain.
To strengthen our Machine Learning team, we are looking for a Machine Learning Engineer (W/M).
Main duties and responsibilities include :
Your profile :
Essential skills and experience required:
Preferred:
Essential skills and experience required:
Preferred:
We offer :
Start date :
as soon as possible
Term of employment :
Fixed-term (CDD)
Work rate :
100%
Duration :
1 year, renewable
Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account.
Reference :
Job Nb 2453
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