PhD position M/F

Il y a 7 jours

France, Auvergne-Rhône-Alpes CNRS - National Center for Scientific Research Temps plein

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Organisation/Company CNRS Department Unité de Catalyse et de Chimie du Solide Research Field Chemistry Physics Researcher Profile First Stage Researcher (R1) Application Deadline 20 Oct 2026
- 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 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 candidate will be in charge of high-throughput catalytic activity and stability screening of MOF–enzyme biocomposites (activity assays, stability assays, etc.), as well as the design and optimisation of hybrid catalytic processes. She/He should possess a solid background in biochemistry, enzymology and/or catalysis, with strong hands-on experimental experience. A basic knowledge of chemical synthesis would be an advantage, particularly if combined with one or two analytical techniques (NMR, HPLC, GC, etc.). A genuine interest in laboratory automation and high-throughput experimentation is essential; prior experience in operating or programming automated liquid-handling platforms would be a significant advantage. Familiarity with hybrid materials or MOFs is a plus but not mandatory. Good data-management habits, organisation and communication skills are required. The ability and motivation to work on a project at the interface of biocatalysis, automation and catalysis is extremely important.

Enzymes are highly efficient eco-friendly catalysts whose practical implementation is nonetheless limited by their inherent instability under the demanding conditions required for biorefinery processes. Immobilisation on solid supports is a well-established strategy to overcome this limitation, and metal-organic frameworks (MOFs) — porous crystalline hybrid solids of extraordinary structural and chemical diversity — have emerged as particularly promising immobilisation matrices, leading to catalytic biocomposites with high activity and stability. The CALIBRATE project aims to rationalise the selection of optimal enzyme–MOF pairs by combining high-throughput experimentation with machine learning.
Within this framework, we propose an interdisciplinary thesis project combining high-throughput automation, biochemistry/enzymology, materials characterisation and catalysis. The first part of the work will focus on the high-throughput characterisation of MOF–enzyme biocomposites to contribute to the construction of an unprecedented dataset of approximately 10000 catalytic materials, initiated by a parallel doctoral project. The second part of the work will address the deployment of the best-performing biocomposites in hybrid catalytic processes for the selective oxidation and amination of 5-hydroxymethylfurfural (5-HMF) derivatives, by combining them with heterogeneous chemocatalysts developed at IRCELYON. This will enable cascade chemo/bio-catalytic transformations in a single reactor, demonstrating the added value of hybrid catalysis for sustainable fine-chemical production.

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PhD position M/F

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