BioEco Graduate School PhD students

BioEco graduate school proposes to fully fund PhD grants whose research topics are in line with those of the graduate school and linked to the partner research laboratories.

Subject :  Subsite mapping of the transglycosylation/hydrolisis partition in glycoside hydrolases : application to enzymatic synthesis of glycosylated amino acid

Thesis supervisor: Regis FAURE
Lab: TBI
Doctoral school: SEVAB

Subject :  Quorum quenching using new biobased materials to limit clogging in membrane bioreactors for a sustainable  process.

Thesis supervisor: Christelle GUIGUI
Lab: TBI
Doctoral school: MEGeP

Subject :  Biosourced graphenic iron-based catalysts for hydrogen production through biogas reforming
Thesis supervisor: Ange NZIHOU
Lab: RAPSODEE
Doctoral school: MEGeP

Subject : Study of the influence of microorganism fractionation conditions on the structure of extracted proteins.
Thesis supervisor: Pierre-Yves PONTALIER
Lab: LCA
Doctoral school: SDM

Subject :   Deep learning for assembly improvement
Thesis supervisor: Matthias ZYTNICKI
Lab: MIAT
Doctoral school: MITT

Subject: Upgrading of glycerol streams: production of 1,3-propanediol by membrane processes / chemical conversion

Thesis supervisor: Sylvain GALIER & Patrick COGNET

Lab: LGC

Doctoral school: MEGeP

Subject: Comparative assessment of the environmental impact of bio-based materials and eco-design using a life-cycle approach

Thesis supervisor: Philippe EVON & Claire VIALLE

Lab: LCA

Doctoral school: SDM

Subject: engineering and biophysical characterization of new JO/IN complexes for the design of artificial cellulosomes

Thesis supervisor: Jean-Denis PEDELACQ and Samuel TRANIER

Lab: IPBS

Doctoral school: BSB

Subject: enzymatic and metabolic engineering for tailored lipid production

Thesis supervisor: Isabelle ANDRE

Lab: TBI

Doctoral school: SEVAB

Subject: oxygen gasification: study of hot spot formation.

Thesis supervisor: Javier ESCUDERO

Lab: RAPSODEE

Doctoral school: MEGeP

Subject: Learning a score function for protein design using deep learning and automatic reasoning.

Thesis supervisors: Thomas SCHIEX and Sophie BARBE

Labs: MIAT and TBI

Doctoral school: SEVAB