Postdoc: Advanced Imaging Data Reduction & Compression

MAX IV Laboratory; Lunds kommun; On-site; SEK 480,000 - 560,000; Full time

Job summary

MAX IV Laboratory in Lund is inviting a postdoctoral researcher to advance data reduction and lossy-compression methods for tomography and imaging. You will evaluate, develop, validate and deploy advanced data reduction techniques for large-scale imaging datasets.

You will work at the interface between scientific computing, image analysis and research infrastructures, collaborating with scientists, software engineers and computing specialists across Europe.

Qualifications

• PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science, or a closely related discipline.
• Demonstrated experience in scientific programming, scientific software development, or data-intensive computing.
• Experience with Python and at least one high-performance programming language such as C++, Rust, or Julia.
• Experience working with large-scale scientific datasets, image processing, computational imaging, tomography data analysis, or data compression.
• Experience with Linux-based computing environments and modern software development practices, including version control and collaborative software development.
• Excellent written and verbal communication skills in English.
• Ability to work effectively in an interdisciplinary and international research environment.

Responsibilities

• Evaluate and benchmark data reduction and lossy-compression methods using representative tomography and imaging datasets.
• Develop software tools, workflows and validation methodologies for adopting compression technologies in scientific environments.
• Collaborate with beamline scientists to evaluate impact of data reduction on data quality.
• Contribute to community guidelines, best practices and knowledge resources on scientific data reduction, compression and FAIR data management.
• Work with researchers and technical experts across European photon science facilities to facilitate knowledge exchange and technology transfer.
• Support and coordinate project workshops, training activities and dissemination events.
• Disseminate project outcomes through reports, technical documentation, presentations, workshops, and publications.

Job description

MAX IV Laboratory in Lund is inviting a postdoctoral researcher to advance data reduction and lossy-compression methods for tomography and imaging. You will evaluate, develop, validate and deploy advanced data reduction techniques for large-scale imaging datasets.

You will work at the interface between scientific computing, image analysis and research infrastructures, collaborating with scientists, software engineers and computing specialists across Europe.