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Scientific Software Specialist (2 years)

MAX IV Laboratory is looking for a Scientific Software Specialist to join its scientific software team

  • Closing soon
  • Closing date: 31 Aug 2020
  • Sweden | MAX IV Laboratory
  • Date posted: 12 Aug 2020
  • Job type: Research facilities
  • Disciplines: Accelerators, neutron & light sources  | Computational science & software engineering 

Lunds universitet, MAX IV, Controls & IT

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The university has 40,000 students and more than 8000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

MAX IV is a Swedish national large-scale research laboratory hosted by Lund University. It provides scientists from Sweden as well as internationally, with state-of-the-art instrumentation for research in areas such as engineering, physics, structural biology, chemistry and nanotechnology. Fully developed, it will receive more than 2000 scientists annually, conducting ground-breaking experiments in materials and life sciences using the brilliant X-ray light.

The MAX IV Controls and IT team (KITS) deliver solutions to the whole MAX IV organization in the areas of control system hardware, controls software applications, infrastructure and networking, information management and scientific software. This is a dynamic and highly challenging environment and requires close collaboration with the staff in order to understand the needs and be effective in forming solutions. We are around 50 people in total who work in five domains in a well-organized and agile way. We hold values of lean management, knowledge spread, user autonomy, continuous improvement and flexibility as guiding principles for our work.

MAX IV scientific software is a small team developing and supporting scientific software projects for data analysis at the new-generation light sources. It is challenging high-data rates and large data volumes using modern software frameworks and computing infrastructure, integrating them into effective, high-performance and sustainable services. Team members have to work closely together with MAX IV scientists, engineers, users, HPC experts and with MAX IV partners from the Nordic academia, industry and other large-scale facilities. 

The European Open Science Cloud (EOSC) Photon and Neutron Data Service (ExPaNDS) is a collaboration of 10 national Photon and Neutron (PaN) research infrastructures and EGI. ExPaNDS project aims to develop and expand data management and data analysis services for PaN sciences and integrate them into EOSC.

Work duties and areas of responsibility

The main task will be development and testing of prototype data analysis service for X-ray scattering, imaging and spectroscopy methods within the ExPaNDS project. The service builds on existing software and data and integrates them with compute environment and data catalogue with the aim of improving reproducibility and reusability of data analysis from synchrotron experiments. Minor adjustments to software or acquisition of new datasets are welcomed but not mandatory. Data analysis workflows of interest have usually an HPC flavour in a sense of high storage or computer needs. Good communication and collaboration with MAX IV scientists, other MAX IV unitsEuropean PaN facilities and HPC experts will be needed. Beside delivering to the ExPaNDS project, part of the position includes a general support of MAX IV scientific software and MAX IV operation. Within these activities it is possible to develop software related to PaN infrastructures, participate in experiments at PaN facilities or contribute to other related MAX IV projects, in particular DataStaMP.


  • Master or PhD in e-sciences, physics, mathematics, natural or computer sciences.
  • Demonstrated practical experience with scientific data processing using cloud-like infrastructure (at least on the level of a project or consecutive projects for a period of 1.5 years).
  • Good practice in scientific computing and sustainable software development.


  • Expertise in testing and validation frameworks for data-analysis services.
  • Experience in e-infrastructure development, optimally in relation to large-scale scientific infrastructures.
  • PhD in e-sciences, physics, mathematics, natural or computer sciences.
  • Knowledge and experience from PaN sciences.
  • Knowledge and experience in X-ray imaging methods.
  • Experience with HPC and cloud computing.

Collaboration with other facilities and partners may require occasional short international travels, if possible with respect to the situation.  

The successful candidate is flexible, service-minded, performance oriented, has problem-solving analytical ability and the ability to cooperate.


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