PhD postion: Dynamic sub-micron assessment of hybrid biopolymer networks using NMR and MRI

Research
The project is a part of a large collaborative Industrial Partnership Programme between AMOLF, Wageningen University, University of Amsterdam and Unilever Research, entitled Hybrid soft materials: from physical mechanisms to designer products. The overall goal of the programme is to understand the physics of the assembly and visco-elastic properties of hybrid networks, consisting of mixtures of stiff and soft elements, which leads to the rich and complex multiscale physics that characterize real food products. The understanding of the design principles and the relation between the molecular, microscopic and mechanical properties of hybrid networks will be used in the design of new, improved systems, in particular new food products.

As part of this programme we are looking for a PhD student interested in the development and application of advanced magnetic resonance (imaging) methods to study the behavior of food materials under shear and stress.

Job description
The PhD student will develop, validate and implement magnetic resonance (NMR/MRI) approaches for non-invasive assessment of hybrid biopolymer network formation and degradation under dynamic conditions such as stress and shear. Velocimetric measurements under shear (RheoMRI) will be combined with nanoprobe (PFGNMR) diffusometry to provide a view on biopolymer network formation/degradation at sub-µm scale.

Location
The PhD will be stationed primarily at Wageningen University whilst also spending considerable time at Unilever R&D Vlaardingen on a regular basis. The work will be supervised by Prof. J. van Duynhoven (Unilever, Wageningen University) and by Prof. J. van der Gucht (Wageningen University).

Requirements

The candidate should have an MSc degree (or the equivalent) in Physics or Physical Chemistry, with a strong background in nuclear magnetic resonance techniques applied to structure-function relationships of materials. Experience with soft matter and/or NMR/MRI would be an advantage. Good communication skills in English are required.

Contact

For further information, please contact Prof.dr. John van Duynhoven,+31 6 11 38 66 85.

Closing time

You can respond to this vacancy before 15 January 2016.

Job Application and Conditions of employment
http://www.fom.nl/live/vacatures/vacature.pag?objectnumber=311875