Proposal for a master’s degree thesis in our partner laboratory MPQ : Quantitative 3D atomic reconstruction of bimetallic nanoparticles using machine learning.
Duration: 12 month
- Position Description
This internship, at the frontier of Material Science, electron microscopy and computational science, will take place at MPQ laboratory in the Advanced electron micrcoscopy and nanostruture (Me-ANS) group. The candidate will (i) set-up the production and advanced STEM study of the structural properties of the Au-Cu BiM NPs by atomic-resolved HAADF-STEM imaging on a state-of-the-art aberration-corrected TEM and (ii) participate in the training and optimisation of the CNNs for atom counting using synthetic HAADF-STEM images of bimetallic NPs generated by atomistic computer simulation and the testing of the networks on experimental images.
All detailed information is available on the job announcement.
- Your profile
– Physicist with a good knowledge of materials science, nanoscience and programming (python, fortran and knowledge of artificial intelligence will be a major asset).
– Strong motivation to perform in a multidisciplinary scientific environment at the frontier of physics, data modelling and computing.
– Autonomy, ability to work in a team, synthetic/redaction ability and good knowledge of English language are a necessity.
– Several collaborations (ONERA, IFPEN, IPCMS/Univ. Strasbourg) are expected, and therefore scientific exchanges will be encouraged.
- To apply
Applications in English or in French should include:
– A short cover letter.
– Names and contact information of at least one reference.
– Up-to-date CV with education history and any research experience.
– Copy of university marks at the bachelor and Master levels.
- Contact informations
Thesis’ supervisors : jaysen.nelayah@u-paris.fr , chrisitan.ricolleau@u-paris.fr and hakim.amara@onera.fr
More information on the team’s website.
Position duration (months)
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