Objective
The primary goal of this Fellowship, entitled “SEmiconductor disk Lasers for EffiCient Terahertz generation” (SELECT), is to
train a talented researcher through a research project focused on the development of high-performance laser sources based
on semiconductor disk lasers and novel periodically poled ferroelectric and semiconductor crystals that can offer an access
to new wavelengths not covered by available gain media, particularly in the THz spectral region, which are desired for THz
spectroscopy, Biomedical imaging, and Safety and Security applications. The novel high-performance vertical-external-cavity
surface-emitting-laser, with remarkable output parameters, will be used as a source of ultra-efficient THz emission in the
0.8-3THz spectral window based on difference frequency generation in advanced quasi-phase-matched crystals. The
success of the interdisciplinary project will lead to a number of multidisciplinary disruptive innovations in Photonics with
significant scientific, technical, economic and social impact, from spectroscopy and biomedical imaging to security screening
and quality control.
The Fellow - Dr. Ksenia Fedorova - will be trained in the fast growing field of science, technology and industrial applications
of semiconductor lasers and THz technology, receiving access to a unique training experience at the host – Philipps-
Universität Marburg, and at academic and industrial secondments: Aston University, Innolume GmbH, M-Squared Lasers
Ltd. The project will enable the Fellow to be a rare asset to European research; she will gain a set of multidisciplinary
professional skills in both theoretical and practical fields, starting from the laser system design and fabrication and finishing
with implementing the final product into real industrial applications.
The SELECT outputs will be relevant to the EU Photonics industry through offering new efficient compact THz lasers, which
will also contribute to the enhancement of EU scientific excellence.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
- natural sciencesphysical sciencesopticslaser physics
- natural sciencesphysical sciencesopticsspectroscopy
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Programme(s)
Funding Scheme
MSCA-IF-EF-ST - Standard EFCoordinator
35037 Marburg
Germany