PostDoc in Scientific Imaging Data Reduction and Compression

Stack

Responsibilities

• ▹Evaluate and benchmark data reduction and lossy data compression methods using representative tomography and imaging datasets from MAX IV and partner facilities
• ▹Develop software tools, workflows and validation methods that support adopting compression techniques in scientific environments
• ▹Collaborate with beamline scientists to evaluate how data reduction methods affect scientific results and data quality
• ▹Contribute to guidelines, best practices and knowledge resources for scientific data reduction, data compression and FAIR data management
• ▹Collaborate with researchers and technical experts at European research facilities to promote knowledge exchange and technology transfer
• ▹Support and coordinate the project's workshops, training activities and communication efforts
• ▹Disseminate results through reports, technical documentation, presentations, workshops and scientific publications

Requirements

• ▹PhD in computer science, applied mathematics, physics, engineering, scientific computing, image processing, data science or a related field
• ▹Documented experience in scientific programming, scientific software development or data-intensive computing environments
• ▹Experience with Python and at least one high-performance language such as C++, Rust or Julia
• ▹Experience with large scientific datasets, image processing, computational imaging, tomography analysis or data compression
• ▹Experience with Linux-based computing environments and modern software development practices, including version control and collaborative development
• ▹Very good written and spoken English
• ▹Ability to work effectively in an interdisciplinary and international research environment
• ▹The degree should normally have been awarded no more than three years before the application deadline

Nice to have

• ▹Experience with synchrotron or neutron facilities, electron microscopy, medical imaging or other large-scale imaging facilities
• ▹Experience with scientific data formats and technologies such as HDF5, NeXus and Zarr
• ▹Knowledge of FAIR principles and research data management
• ▹Experience with HPC, cloud computing, GPU acceleration or distributed computing
• ▹Experience with international research collaborations or multi-organization projects

What we offer

• ▹Work directly with MAX IV's X-ray imaging and tomography activities (DanMAX, ForMAX, the upcoming TomoWISE)
• ▹International collaboration through the LEAPS network
• ▹Full-time, two-year fixed-term position
• ▹Opportunity to influence future data management practices at large research facilities

About the company

The Scientific Data Group at MAX IV Laboratory operates high-performance data acquisition systems for advanced detectors and provides data processing, visualization and analysis solutions for researchers in X-ray scattering, imaging and spectroscopy. Its systems regularly handle data flows of several GB/s.