Junior Section Manager

vor 22 Stunden

Geneve, Schweiz EPFL Vollzeit

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.

**Junior Section Manager - Machine Learning (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.

**Main duties and responsibilities include**:

- Lead the Machine Learning Section of the Blue Brain Project comprised of data scientists
- Coordinate, implement and manage third-party projects in machine learning
- Define the scientific and technical roadmap of the BBP's Machine Learning Section in accordance to the project's and division's objectives and roadmaps
- Coordinate, devise and oversee scientific and technical implementation of the BBP's machine learning roadmap and related activities within the context of the multiscale mouse brain
- Participate in the architecting and implementation of machine learning solutions
- Hire, coordinate and evaluate subordinate personnel in the Machine Learning Section
- Represent the BBP machine learning efforts in technical and scientific contexts
- Support other sections on the topic of machine learning and adoption of machine learning technology
- Participate in the writing of articles and other documents related to the research activities
- Participate to group meetings

**Your profile**:
**Essential skills and experience required**:

- 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.

**Preferred**:

- Docker framework.
- SQL language.
- Software development life-cycle (software packaging, unit testing, continuous integration, debugging, documentation,...).

**Profile**:

- 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.

**We offer**:

- A world-recognized leader in simulation-based research in neuroscience
- A dynamic, multidisciplinary, international and collaborative working environment committed to benefitting the global community
- A modern working environment, based at the Biotech Campus in Geneva Sécheron

**Start date**:
as soon as possible

**Term of employment**:
Fixed-term (CDD)

**Work rate**:
100%

**Duration**:
1 year, renewable

**Remark**:
**Reference**:
Job Nb 2570

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