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Junior Professorships

Experimental techniques and Big Data analysis methods for materials characterization

Published on 11 March 2024

Expected skill​​
Applicants must prove their motivation for teaching and have a high-level scientific record in accordance with UGA’s ambitions and standard and be in alignment with UGA’s values in particular openness to the world, probity, integrity and ethics, capacities for team work, interest to invest for the community and a sense for environmental and social engagement.
 
Research profile
     The MEM, SIMAP and Institut Néel research units are strongly involved in the operation of the French lines (F- CRG) at ESRF and participate in the development of cutting-edge instrumentation and characterization methods (spectro-ptychography, coherent diffraction, energy μLaue, operando studies, etc.) for the study of materials at different scales/levels of complexity. These research units have played a pioneering role in the field of Big Data analysis, which is now becoming essential to our research programs. The strategy of these units is both to mobilize resources in ongoing X-ray projects (PIA3 Magnifix, PEPR DIADEME, ERC Carine, NUMPEX), and to contribute to the development of other experimental techniques (e.g. electron microscopies, tomography, neutrons, even NMR, etc.). Large-scale and ab initio calculations provide numerical inputs for structural or spectroscopic models.

     The CPJ will develop an experimental research program combining different techniques for studying materials (coherent diffraction, Laue, small angles, X-ray mapping, small beams, X-ray and neutron tomography, atomic tomographic probes, FIB materials) and numerical analysis Big Data (python, notebooks, GPU, image processing and analysis, AI). He or she will contribute to the development of new analysis codes based on flagship software (Lauetools, PyNx, PyROD, etc.) and on packages developed on the lines, at the ESRF or at SIMAP with optimal pooling for :
- improve the speed of processing, enable the conduct of experiments in real time,
- improve the quality of treatments using AI (supervised and unsupervised approaches),
- minimize our ecological impact (memory/resource optimization),
- integrate multiple and heterogeneous data.

     Through its involvement in the TGIR, the CPJ will actively participate in the European programs associated with them. It will also be able to respond to the IRGA call on the large instruments component which aims at the association of the UGA, a TGIR and an international third- party partner. He or She will participate in European networking actions (for example LINX). More generally, the CPJ will be involved in UGA's strategic partnerships on the theme of characterization in materials science. Its intervention in European schools will strengthen the international positioning of the UGA in this area.​

     For the research project the hired person will benefit from a funding of 200 k€ from the ANR and possibly a co- funding from UGA.
 
Teaching profile​
     Teaching the general physics courses in Undergraduate studies.​
     Participation and coordination in TGIR synchrotron “technical & scientific” teaching (or even an extension to neutrons if necessary): diffraction, spectroscopy, imaging, etc., contribution of new sources and analysis methods. Direct intervention in European HERCULES training with all its theoretical and practical components (tutorials).​
     Implementation of operational training in large instrument data science (algorithmics, best practices, python) and participation in the skills development of our students, research staff and engineers, and users of TGIR in connection with GRICAD and MaiMoSiNE. There are currently significant unmet training needs in this community.​
     he recruited person will carry out teaching service of 96 hours equivalent to TD per year.​

Scientific outreach, open science​
​     The scientific results will be published in high-impact journals in the materials, synchrotron or digital communities. We also expect an increase in quantitative skills in the level of analysis implemented at UGA (implementation and adaptation of efficient algorithms). This will be done on pilot subjects which correspond to techniques having a strong link with digital processing and in particular AI: use of coherence, analysis of diffraction images, time resolution, etc., but also for more collective and outreach actions: representation in specialized conferences (e.g. GdR IAMAT, synchrotron project meetings, etc.) and in the setting up of European TGIR projects whose digital component is now still very important.​
     The project is part of an open science approach both in terms of research results and data. This approach aims to facilitate the dissemination and replication of research results. It will strengthen the reputation of UGA in characterization for materials science. For this, the CPJ will be able to use resources from the UAR GRICAD and the GATES project financed by the national ExcellencES program.​
      The CPJ will take part in events organized by the UGA including the “Fête de la Science and “Parlons Science” conferences. She or He will speak in seminars organized by the French Physical Society or the French Society of Metallurgy and Materials. Through its link with the TGIR, it will also be able to participate in their general public actions.​

Information for candidates​
      The chair duration will 3 to 6 years depending on the laureate’s profile. At the time of tenure, the laureate will need to hold the “Habilitation à Diriger des Recherches”​.
      Université Grenoble Alpes recruits on the basis of skills and makes use of all talents. It encourages candidates with disabilities to apply for teaching and research positions.​
      Teacher-researchers are required to reside at the place where they perform their duties (Art. 5 of Decree No. 84- 431 of June 6, 1984).​
 
How to candidate?
Application deadline: March 29, 4:00 pm (Paris time)
Publication and application phase: March 13, 2024 10:00 a.m. to April 15, 2024 4:00 p.m. - (GALAXIE application)
Selection committee meetings: April 22, 2024 to June 07, 2024
Appointment of successful candidates: From October 01, 2024
CNU section: 28

Contacts
For more information about the position, please contact 
Thierry Deutsch, MEM Director  
Nathalie Boudet and Jean-Philippe Poizat, Institut Néel Deputy Director  
Yannick Champion, SIMaP Director,  
Gilles Henri, UFR PhITEM Director.


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