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Field
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microstructures along the entire process chain using machine‑learning (ML) techniques and validate soft‑sensor outputs against laboratory reference measurements Perform systematic laboratory flotation experiments
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laboratory experiments, field studies and microstructural analysis. The experimental component will involve rock deformation experiments conducted under controlled pressure–temperature conditions, focusing
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in Python. Interest in (or prior exposure to) metamaterials / architected materials (e.g., lattices, TPMS, graded microstructures) and homogenisation concepts. Basic understanding of anisotropy and
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composition and microstructure of the alloys has to be tightly controlled as impurities during processing forms damaging microstructural defects and secondary phases. It is possible to add refiners and
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biomedical sectors. The group’s expertise includes alloy design, microstructure-property relationships, phase transformations, and advanced materials processing. Closing date for applications: 15 Jan 2026 with
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refinement are available at the lab and can be used whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel
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systems, and relationship between microstructure and rheology in complex fluids. Further information may be obtained from: Theyencheri NARAYANAN (tel.: +33 (0)4 76 88 21 21, email: narayan@esrf.fr
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whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel PhD projects on modelling. The successful candidate
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processing parameters, and correlate microstructure with functional properties. Responsibilities: Designing and validating experiments collaborating across MRI facilities preparing technical reports
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composites for enhanced durability, performing microstructural analysis and mechanical testing. Topology Optimization & AI Integration: Use AI and machine learning to guide structural and topology optimization