Scientific Software Developer
Epfl
Geneva, CH
vor 6 Tg.

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.

Scientific Software Developer (W / M)

Your mission :

The EPFL Blue Brain Project (BBP), situated on the Campus Biotech in Geneva, Switzerland, applies advanced neuroinformatics, data analytics, high-performance computing and simulation-based approaches to the challenge of understanding the structure and function of the mammalian brain in health and disease.

The BBP provides the community with regular releases of data, models and tools to accelerate neuroscience discovery and clinical translation through open science and global collaboration.

Within the Cells section we are looking for 2 Scientific Software Developers (W / M). Main duties and responsibilities include :

  • Support the on-going large-scale biophysical neuron modeling by providing technical support for the several in-house tools related to this subject
  • The position acts as a bridge between the scientists and the more technical aspects of our toolchain, and as such it involves getting familiar with the scientific domain the project is working in
  • Your profile :

  • Expert in scientific computing (python, scipy, numpy, hdf5, gsl, Linux, etc.)
  • Strong team player and fluent English in speech and writing
  • Experience in neuroscience or in another biomedical field
  • Experience in unit testing, continuous integration, version control, debugging and documentation
  • Prefered skills :

  • Experience in other programming languages (like C++)
  • Experience in using high performance computing hardware and software
  • Experience in using parameter optimization methods / evolutionary algorithms
  • Experience in physics simulations and stochastic / dynamical systems modelling.
  • We offer :

  • An internationally visible project in simulation-based research in neuroscience
  • A young, dynamic, inter-disciplinary, and international working environment
  • A modern working environment, based at the Biotech Campus in Geneva Sécheron
  • Start date :

    As soon as possible Term of employment :

    Fixed-term (CDD) Duration :

    1 year, renewable Remark :

    Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.

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