Post - doc : Advancing electron ptychography (M/F)

CNRS - National Center for Scientific Research; France; Presencial; EUR 45 000 - 60 000; Tempo integral

Resumo da oferta

CNRS - National Center for Scientific Research in Grenoble invites a researcher to advance electron ptychography. The task is to develop and optimize ptychography algorithms for TEM data, accelerate reconstruction, and enable automated, near-live analysis for diverse samples.

Responsibilities include simulations, adapting reconstruction methods, and improving data analysis pipelines, with access to state-of-the-art TEM facilities at Institut Néel.

Qualificações

• Experience in ptychographic data reconstruction.
• Knowledge of programming.
• Data treatment and analysis experience.

Responsabilidades

• Develop and optimize electron ptychography reconstruction algorithms.
• Conduct simulations of electron ptychography datasets.
• Streamline reconstruction and automate workflows for near-live analysis.

Conhecimentos

Ptychography data reconstruction

Programming

Electron diffraction simulations

Mathematical skills

Machine learning / AI knowledge

Ferramentas

TEM (transmission electron microscope)

Descrição da oferta de emprego

Organisation/Company CNRS Department Institut NEEL Research Field Physics Researcher Profile Recognised Researcher (R2) Application Deadline 10 Nov 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The researcher will use and further develop ptychography algorithms for transmission electron microscopy data. The aim of the work is to advance and automate the use of ptychography on various sample types. In particular :

• 1) accelerate the reconstruction process using a multislice algorithm
• 2) allow a 3D reconstruction and
• 3) automate the reconstruction process and stream line it for near live reconstruction and a simplified and improved user experience, to open this extremely powerfull technique to non-expert users and high throughput applications.

Optimize the acquisition parameters of Electron and improving or further the reconstruction algorithm. Activities will include:

• Carrying out simulations of electron ptychography datasets
• reconstructing data using multi slice algorithms, adapting ptychography reconstruction algorithms
• stream lining the ptychographic data analysis: accelerating the reconstruction, facilitating the reconstruction process.

Institut NÉEL is a CNRS unit (UPR 2940) under agreement with the University
Grenoble Alpes. The laboratory is related to the CNRS Physique. It is located in
Grenoble, in the heart of a unique scientific, industrial and cultural environment. It is
one of the largest French national research institutes for fundamental research in
condensed matter physics enriched by interdisciplinary activities at the interfaces
with chemistry, engineering and biology. It consists of 450 employees, including 175
researchers.
CNRS is a public, scientific and technological organization.
The core mandate is to identify, to carry out or to have carried out, either alone or
with partners, all research that advances science or contributes to the country's
economic, social, and cultural progress. Internationally recognized for the excellence
of its scientific research, the CNRS is a reference in the world of research and
development, as well as for the general public.

Electron Ptychography (EP) has become the ultra-high resolution and low dose electron microcopy technique [Science 372, 826–831 (2021)]. The purpose of this position is to further develop EP in Grenoble (France). He/She will have access to enhanced computer clusters and state-of-the-art transmission electron microscope (TEM) located at institute NEEL (Neoarm + medipix camera).

The hosting team at Institut Néel is MRS - Materials, Radiations, Structure, which forms part of the PLUM department.

• - Experience in ptychographic data reconstruction
• - knowledge in programming
• - data treatment
• - electron diffraction simulations
• - mathematical skills, knowledge about machine learning and artificial intelligence is a plus.