Focus:

The focus of activities is the processing, visualization, and analysis of large amounts of data using methods of modern data science, and the development and software implementation of algorithms to support these activities. This also includes the installation and operation of appropriate hardware and software.

Services:

• Processing, analysis, and visualization of large amounts of data
• Development and deployment of algorithms and software in the field of data sciences, machine learning and artificial intelligence
• Implementation of data-driven design models and tools
• Development, deployment, and ongoing support for internal technical/scientific software, e.g. for test stand control and measurement data acquisition
• Development and deployment of, and provision of ongoing support for internal administration software
• Deployment and operation of a server infrastructure for structured storage of very large heterogeneous data sets, e.g. time series from experiments, spectra, images, videos
• Deployment and operation of search engines for data and documents
• Deployment and operation of tools for knowledge management and e-learning
• Technical and scientific consulting in the field of data sciences, machine learning and artificial intelligence
• Training in the use of technologies relevant to data science
• Development and preparation of knowledge for statistical design of experiments

Expertise:

• Many years of IT experience with the operation of high-performance computers (HPC cluster)
• Many years of experience in database and software development
• Expert knowledge in the field of information technology
• Technical and scientific expertise in the field of scientific computing
• Many years of experience in the selection, implementation, and application of algorithms for numerical data analysis and visualization
• Profound knowledge of the software tools Python and R
• Expertise in the relevant mathematical / statistical methods

Excellence:

• Scientific Computing, Data Analysis and Visualization with Python and R
• High-Performance Computing
• Software development with different programming languages and tools
• Interdisciplinary team with background knowledge from the parent disciplines of tribology (mechanical engineering, physics, chemistry, ...), mathematics and information technology