Physicist - Data Science, Machine Learning, AI (m/f/d)

Beschreibung

The Max Planck Computing and Data Facility (MPCDF) is a competence centre 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 Max Planck supercomputers, computing 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 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 (HPDA) 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 must 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. Hands-on experience in implementing and optimizing deep learning approaches, ideally in the field of computer vision, is required. A solid background in Python and at least one other HPC programming language such as C++, C, or Fortran is mandatory. Experience with application performance analysis and with explicit parallelization approaches such as OpenMP, MPI or Apache Spark are considered a major plus.

We offer the opportunity to work in a very international and very dynamic environment 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. Furthermore, we offer the opportunity to collaborate with specialists of all major vendors of HPC systems on solutions for HPC-AI problems on existing and upcoming technologies. There is the possibility to present the project work on national and international conferences.

The position will start 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 premise