Open Positions

We are always looking for highly skilled IT professionals with profound knowledge in the areas of cluster system analysis and administration, system software engineering and support, network and security management, HPC application support, Grid computing, database systems, big data and data analytics.

Unsolicited applications are welcome and should be directed to career@mpcdf.mpg.de.

 

 

 

Computational Scientist or HPC application expert (m/f/d)

Job Offer from October 22, 2020

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, 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) is looking for a Computational Scientist or HPC application expert (m/f/d) Job code 11/2020.

The position

The successful candidate will be associated with the applications group at the MPCDF (based on the research campus Garching near Munich, Germany) and will work on the development and optimization of scientific high-performance computing (HPC) simulation codes, primarily in the field of classical molecular dynamics and soft matter research, as pursued in the Polymer Theory department at the Max Planck Institute for Polymer Research. A major focus will be on preparing applications for the upcoming exascale supercomputer architectures.

Requirements

The applicant should hold a PhD in Physics, Computer Science, applied Mathematics, or a similar subject. A strong background in scientific software development (ideally with C++ and Python), familiarity with common parallel programming models (like MPI, OpenMP, CUDA), and some experience with large, distributed software projects and high-performance computing are required. Experience with particle-based molecular dynamics simulations is desirable.

We offer the opportunity to work on state-of-the-art numerical algorithms, leading HPC codes and latest supercomputer technology and to maintain close collaborations with leading computational scientists and method developers.

The applicant should have good communication skills in English, be flexible and versatile, and enjoy developing and maintaining projects of varying size and computational requirements. The full-time 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.

Your application

For further questions, please contact Dr. Markus Rampp () or Dr. Torsten Stuehn ().

Please apply via our online application portal with a letter of motivation and your CV by December 6, 2020.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

Data Scientist or Machine Learning Expert (m/f/d)

Job Offer from October 22, 2020

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, 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) is looking for a Data Scientist or Machine Learning expert (m/f/d) Job code 10/2020.

The position

The successful candidate will be associated with the data-analytics group at the MPCDF (based in Garching near Munich, Germany) and will work on data-analytics projects, especially in the fields of machine learning and deep learning. The main focus will be on developing and optimizing machine-learning solutions for high-performance computing (HPC) systems.

Requirements

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. Deep knowledge of at least one of the software frameworks Tensorflow, Pytorch or Mxnet is necessary. A solid background in Python, and at least one other HPC programming language such as C++, C, or Fortran is required. Familiarity with the concepts and applications of distributed deep learning and the Apache Spark platform is desirable. Experience in high-performance computing  is considered a major plus.

We offer the opportunity to work on cutting-edge high-performance data-analytics projects at the interface of data science and high-performance computing, in close collaboration with leading machine-learning experts and domain scientists of various Max Planck Institutes, e.g. in the areas of materials and bio sciences, theoretical chemistry, polymer research, astrophysics, plasma physics, and particle physics.

Our offer

The full time 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.

Your application

For further questions please contact Dr. Andreas Marek ().

Please apply via our online application portal with a letter of motivation and a CV  by December 6, 2020.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

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