Beamline Data Scientist TomoWISE

Publiceringsdatum: 2025-10-31

Letar du efter ett jobb inom yrken med teknisk inriktning? Vill du ta steget att arbeta som dataingenjör hos Lunds Universitet? Nu har du möjligheten. Lunds Universitet behöver någon som vill arbeta heltid. Om du är tillgänglig för 6 månader eller längre, ta en titt på denna jobbannons.

Denna position är tillgänglig i Lund. Lunds Universitet har just nu ett ledigt jobb som dataingenjör. Låt Lunds Universitet hjälpa dig att uppnå dina karriärmål som dataingenjör! Ansök seast söndag den tjugotredje november 2025.

Jobbannons

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Your team

MAX IV has recently secured funding to build TomoWISE – a new tomography beamline dedicated to advancing materials science for sustainability.

To bring this vision to life, we are forming a specialized team responsible for turning the beamline design into a fully operational facility.

As a member of this team, you will collaborate closely with experts across both our Technical and Science divisions to plan, install, and commission cutting-edge infrastructure and equipment. The project will be led by the TomoWISE Beamline Lead Scientist, and the team will be part of the Beamline Office Group within our Science Division

Would you like to work at one of the brightest lightsources in the world?

MAX IV is looking for a data scientist to join the TomoWISE beamline project. TomoWISE beamline foresees four operational modes using multiple sources and endstations, offering options such as a large field of view or high spatial resolution. In this role you will design, develop and optimise data acquisition and analysis workflows to enable efficient tomography experiments. Key tasks include implementing zoom-in on features of the sample, transfer of coordinates between end-stations, automatic beamline and measurement setup and providing tools for initial image processing and rapid visualization.

Your main work tasks will be

• Develop and maintain software systems for experiment control, data analysis workflows, and user interfaces for efficient tomography experiments at TomoWISE
• Customize, manage, and curate a Laboratory Information Management System (LIMS) to meet the specific needs of the beamline
• Contribute to the advancement of data processing methodologies for tomography imaging at accelerator-based light sources, including sustainable strategies for scientific data preservation
• Coordinate data analysis, visualization, and data management efforts at TomoWISE with other MAX IV beamlines, and external collaborators
• Provide operational support to the TomoWISE team and users, ensuring robust implementation of the above activities during beamline operation.

To be successful in this role you need to have the following qualifications

• A degree in Computer Science, Mathematics, Physics, Materials Science, Natural Sciences, or equivalent qualifications and experience
• Proven software development skills in high-level programming languages such as Python, C++, or Julia
• Demonstrated experience in the development of hardware-accelerated scientific applications and high-performance distributed computing
• Commitment to the best practices in software and service documentation and CI/CD, ensuring maintainability and reproducibility
• Experience in integrating imaging techniques into experimental workflows, with a strong emphasis on reproducibility and method documentation
• Ability to combine technical expertise with a collaborative mindset, contributing to both individual task success and overall team cohesion.

Below are seen as merits

• Proficiency in CUDA programming and hardware-accelerated computing
• Experience with high-performance I/O and efficient data access protocols for distributed scientific computing
• Expertise in customizing data schemas for LIMS
• Demonstrated knowledge of phase retrieval methods or solving inverse problems
• Practical experience in applying imaging techniques to analyze and visualize volumetric datasets, including immersive visualization using VR and AR technologies
• Experience in web application development for scientific computing
• Experience with developing AI-powered applications that integrate external data sources and scientific application systems
• Familiarity with the Tomopy software ecosystem.

As a person you are a team player with a strong sense of responsibility, consistently delivering high-quality results even under pressure.

What we offer

When you join our MAX IV team, you step into a world of front edge science. We make the invisible visible by supporting scientist from all over the world, generating scientific results for the benefit of society. We offer you a multicultural work environment with great opportunities for personal development with respect for a healthy work-life balance.

Would you like to work in a challenging and supporting environment? Then join us and take the opportunity to make a real difference!

Applications will be reviewed on a rolling basis, and candidates may be invited for interviews before the application deadline.

For further information, please visit:

https://www.lunduniversity.lu.se/about-lund-university/work-lund-university

http://www.sweden.se

https://www.maxiv.lu.se/about-us/careers/compensation-benefits/

Probationary period may apply.

MAX IV is a Swedish national large-scale research infrastructure hosted by Lund University. It provides scientists from Sweden and abroad, with intense x-rays and state-of-the-art instrumentation for research in areas such as engineering, physics, structural biology, chemistry and nanotechnology. Its 16 beamlines receive up to 2 000 scientists annually, conducting ground-breaking experiments in materials and life sciences using the brilliant X-rays.

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