Data Scientist (m/f/div) or Machine Learning / AI expert (m/f/div)

The Max Planck Computing and Data Facility (MPCDF) is a competence center of the Max Planck Society. It is engaged in the develop­ment and optimization of algorithms and appli­cations for high-performance com­puting as well as in the design and implemen­tation of solutions for data-intensive pro­jects in close collaboration with scientists of the Max Planck Insti­tutes. The MPCDF operates super­computers, compute systems, and data reposi­tories for various Max Planck institutes and main­tains an up-to-date infrastructure for data manage­ment including long-term archival as one of the largest such academic sites within Europe.

The Max Planck Computing and Data Facility (MPCDF), in colla­boration with the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS), is looking for a

The successful candidate will be associated with the artificial intelli­gence (AI) and high-per­formance data analytics division at the MPCDF (based in Garching near Munich, Germany) and will work on AI pro­jects for MRI image reconstruction, semantic segmentation on MRI data­sets and 3D histo­logical datasets from microscopy. The focus will be on the develop­ment of deep learning-based computer vision appli­cations in neuroimaging targeting high-performance computing (HPC) systems, as pursued in the Depart­ments of Prof. Nikolaus Weiskopf (Neurophysics) and Prof. Christian Doeller (Psychology) at the MPI-CBS.

The applicant should hold a PhD in Physics, Applied Mathematics, Computer Science, or a similar subject and have a strong back­ground in developing and optimizing end-to-end machine learning solu­tions. In-depth knowledge of deep learning frame­works such as TensorFlow or PyTorch is necessary and exper­tise in deep learning approaches for com­puter vision are required. A solid back­ground in Python and at least one other HPC pro­gramming language such as C++, C, or Fortran is manda­tory. Familiarity with concepts to parallelize deep learning appli­cations and the Apache Spark platform is desirable. Experience in high-performance computing is con­sidered a significant plus.

We offer the opportunity to work on cutting-edge, high-per­formance AI projects at the interface of data science and high-per­formance computing, in close collaboration with leading domain scientists at the MPI-CBS, in both human neuro­science and neuroimaging, and its international partners.

The position starts as soon as possible and is initially limited for a maximum period of three years. Salary will be based on experience accor­ding to the German TVöD.

• Flexible working hours and a friendly wor­king environment
• Proximity to underground station (U6), discount MVV job tickets available
• Free parking on premises