-
Your Job: In our team you will collaboratively work on: Collaborative development of semantic artifacts in materials science, in a scale- and method-bridging approach for crystallographic defects
-
to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s
-
: Very good performance in your Master`s degree in the fields of energy technology, mechanical engineering, materials science, civil engineering, industrial engineering, physics, resource management
-
to accelerate materials research and develop the next GW photovoltaic technology. We use automated research equipment to experimentally produce, characterize and optimize solar cells. In doing so, we collect a
-
information from experiment data Evaluation and development of specialized and/or interpretable machine learning approaches for the domain of materials science, physics, microscopy Incorporation of machine
-
of the frequency-dependent measurements Determination of resistive and non-radiative recombination losses due to the different layers and their interfaces Your Profile: Bachelor Degree in physics, material science
-
preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and
-
testing of the catalysts’ OER performance and durability Your Profile: Undergraduate education with excellent marks in Material Science, Physics, Engineering or Chemistry Basic knowledge of electrochemistry
-
possible selection criteria Research on aggregation methods for raw material requirements at technology and system level Familiarization with the national energy system model ETHOS.NESTOR and, if necessary
-
, material science or similar Fundamental knowledge of solid state physics is a plus Practical skills and interest in laboratory work High degree of independence, motivation and reliability Fluent command