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Research Associate – Single-molecule fluorescence imaging within dynamic materials

Posted by , on 11 January 2021

Deadline: 13 January 2021

Fixed-term: The funds for this post are available for 1 year in the first instance.

We are currently seeking a postdoctoral research associate to join the group of Professor Oren Scherman in the Department of Chemistry on a multidisciplinary project funded by an ERC grant (CAM-RIG, 726470) in collaboration with Dr Steven Lee. The proposed research programme combines state-of-the-art quantitative rheological characterisation techniques with single-molecule fluorescence imaging, and super-resolution techniques to exploit a bespoke experimental setup, which probes the dynamic networked host-guest materials with unprecedented spatial and temporal resolution. This is an exciting opportunity to apply super-resolution microscopy outside the biophysical realm, to study a range of polymeric networks and materials.

The aim of the project is to understand how fundamental physical and chemical properties of gel networks are related to the structure and dynamics of a wide variety of functional soft materials and supramolecular composites. Deconvolution of multiple relaxation dynamics in the system will enable a new level of understanding and insight with wide-ranging implications in functional materials design.

The successful candidate must have, or be about to obtain, a PhD in Physical Chemistry, Physics, Engineering, Biophysics or similar disciplines. Working in a team with synthetic chemists, they will be involved in the design and characterisation of new classes of dye molecules with fluorescent properties for specific imaging applications. The successful candidate must have analytical and hands-on experience with microscope-based imaging techniques and data processing as well as bespoke instrument development. Candidates with experience in biophysical techniques such as single-molecule fluorescence spectroscopy or super-resolution microscopy with emphasis on methodology for imaging complex systems are particularly encouraged to apply. Experience in bespoke analysis coding (Python, MATLAB, and Java/ImageJ) are highly advantageous for the position.

The project will require a multidisciplinary approach across the areas of supramolecular materials to continued instrument development in spectroscopy and advanced optical imaging. Candidates must have a strong desire to work on a multidisciplinary project at the interface between physical and materials chemistry, optics and spectroscopy.

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