What we do:

Research projects are most often carried out within these areas

  • * Electrical Engineering

  • * Computer Science

  • * Theoretical/Computational/Applied Physics

  • * Mathematics

...but we also do some strange and sometimes scary or even dangerous research.

Are you interested in doing research?

If you are a student or a researcher and would like to join us for a project, please contact us. Our research is usually arranged for creative and useful applications rather than for pure academic value but most of the time we get the impression that the results are quite enlightening.

Contact us using the form below

Some projects have a higher degree of confidentiality than others and if you apply to do research you should know that you might have to sign very strict non-disclosure agreements.

Real research projects usually range from 2 to 18 months.

Minor projects (for example a master thesis) usually range from 1 to 6 months.

Microprojects are arranged now and then, most often for students, and such projects should be carried out during 1-2 days within 2-4 weeks.



We are, or have been, in contact with researchers from these institutes and universities

Linköping University

ETH Zürich

Leibniz University Hannover

Chalmers Tekniska Högskola

KU Leuven

Max-Planck-Institut, Albert-Einstein-Institut

Latest News


New project: Using mathematical optimization methods to investigate fluid-mechanical energy transfer.


New project: Finding experimental methods to be able to determine certain molecular properties.


New project: Looking for combinatorially reduced partial covers of multidimensional discrete probability functions.


Thesis project: Investigating conditions for bijective maps on cartesian products over GF(2) using transformation methods


Thesis project: Identifying a strict subset of sign language by recognition techniques from image processing


Thesis project: Investigating algorithm implementations done in both software and hardware to identify input-output similarity or reasons for lack of input-output similarity