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Reference : UMR7615-FABDEC-002
Workplace : PARIS 05
Date of publication : Monday, February 22, 2021
Scientific Responsible name : Artem Kovalenko
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 22 March 2021
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly
Description of the thesis topic
This open PhD position is part of the 4 year ANR project MAGELAn starting in October 2020 at Laboratoire de Sciences et Ingénierie de la Matiere Molle (SIMM-ESPCI) in Paris.
Responsive or "smart" surfaces are coatings which properties can be changed by an external stimulus, such as temperature, light, electric or magnetic field. In recent years, patterned surfaces with magnetically-tunable wetting or adhesion properties were designed based on elastomers or hydrogels filled with magnetic particles. However, the fabrication protocols are rather expansive and difficultly scalable. Porous polymers and polymer foams are versatile materials which mechanical properties can be tuned by the choice of matrix and controlling of the porosity and pore size.
The main aim of the MAGELAn project is to fabricate magnetically-responsive coatings composed of soft magnetic polymer foams with small pore sizes (d=1-10 µm). The main interest of smaller pore sizes is to assure good spatial homogeneity of the mechanical properties. In order to obtain controlled porosity, we will use colloidal templates (emulsions and dissolvable particles). The synthesized materials will be used to understand the relationship between the structure and properties of soft magnetic foams. In particular, we will be interested in the influence of the magnetic particle distribution on the magnetorheological and adhesive properties of the foams.
The PhD candidate will work at SIMM laboratory with internationally recognized reputation in polymer materials and benefit of the interdisciplinary environment of ESPCI school. He will be directly supervised by A. Kovalenko and E. Barthel. The work will be in collaboration with J. Fresnais from PHENIX lab at Sorbonne University.
Constraints and risks
We are looking for an enthusiastic candidate with experimental skills in material science, polymers, physical chemistry or mechanics. The application email should include a CV, a copy of last year academic records, a motivation letter and contact information of at least two referent persons.
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