Master Student Internship in Data treatment for high-resolution correlative microscopy (M/F)

Référence : MRT-2019-Intern-006

Type: Stagiaire
Type de contrat: Stage
Durée: 4-6 months
Lieu de travail: Belvaux



As a key player in research and innovation in Luxembourg, the Luxembourg Institute of Science and Technology (LIST), with its employees, is active in the domains of materials, the environment and IT. As an RTO (Research and Technology Organisation) and with its interdisciplinary impact-driven approach, LIST contributes to the development of Luxembourg’s economy and society. The Materials Research and Technology Department (MRT) translates cutting-edge materials research into applicable technology, with about 150 collaborators. For this, the department cultivates close relationships and joint projects with both academic and industrial partners, and contributes to Luxembourg's and Europe's innovation agenda in Materials Research and Technology.

The Advanced Instrumentation for Ion Nano-Analytics (AINA) group of the MRT department at the LIST is renowned for developing innovative nano-analytical techniques for materials characterization and life science applications. During the past few years we have been developing in particular a Secondary Ion Mass Spectrometry (SIMS) add-on system for the Helium Ion Microscope (HIM) and for a Transmission Electron Microscope (TEM) as well as an Atomic Force Microscopy (AFM) system that we integrated in our NanoSIMS, allowing the advantages of high spatial resolution with high sensitivity chemical information to be combined. The research activities of the AINA group cover fundamentals, instrument development and applications.




We are looking for a highly-motivated Master student to participate in a project focussing on developing new data treatment methodologies to enable highest-resolution correlative microscopy. The ideal candidate will have a strong background in programming with ability to code analytical mathematical functions for numerical data treatment with applications in correlative image treatment. A background in physical sciences will be helpful to understand the origins of image contrasts and to formulate them mathematically for subsequent data treatment. The images coming from different types of imaging modes shall be enhanced and correlated to obtain new insights about the samples. For example, we have recently shown 2-dimensional image fusion of images taken from the same area but by different imaging techniques, in which high-resolution Electron Microscopy images are correlated with high-sensitivity (but relatively low-resolution) Secondary Ion Mass Spectrometry images. Features such as the different contrast mechanisms, mismatches in the pixel-sizes and image distortions shall be taken into account numerically (e.g. frequency-domain filtering) to avoid or minimize potential image artefacts. There are a number of possible future directions to adapt and extend our present activities on these topics, for example to 3D or 4D or 5D image correlation. The specific topic for the internship can be tuned to fit the student’s background and interests. These topics are part of an active and fertile research area and therefore, the output produced by the Master’s student could potentially result in good quality scientific publications.

Key accountability

  • Understand the origins of image contrasts and formulate them mathematically for subsequent data treatment;
  • Programming correlative image treatment methodologies;
  • Discuss results with the project leader;
  • Participate in project and group meetings;
  • Write progress report.

Key skills and qualifications

  • Master student in physics, computer science or similar with excellent programming skills;
  • Proficiency in spoken and written English;
  • Good interpersonal skills.





  • Master student in physics, computer science or similar with excellent programming skills


  • Proficiency in spoken and written English


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 Stéphanie LUCADELLO