Postdoctoral Researcher in Solid-State NMR and DNP
Gefunden in: Talent CH C2 - vor 1 Woche
Job description
The work will focus on implementing numerical optimization strategies to design pulse sequences for high-resolution solid-state NMR under magic-angle spinning and static DNP in close collaboration with two PhD students working on these topics. The efficiency of such pulse-sequence elements is key for improving the sensitivity of NMR experiments. To obtain the best performance not only parameters of the spin systems but also experimental imperfections of the spectrometers have to be included in the modelling of the experiment. Such an approach will require:
Extending and improving an existing framework for optimizing pulse sequences based on effective Hamiltonian calculations Numerical simulation of generated sequences to check their performance under a large range of experimental conditions Implementing these sequences on commercial NMR spectrometers and home-built DNP systems to check their experimental performance on model systems Iterative improvements in the optimization tools to improve the performance of the generated sequencesThe postodctoral research will be focused on the methodological development of the optimization procedures and the effective Hamiltonian calculations. One important consideration will be the optimization of the code to speed up the numerical optimization procedures. This requires a good understanding of NMR and EPR theory and spin physics. The position is initially for a one year duration, funding is currently available for two years.
Your profile
We are looking for a highly-motivated researcher who is interested in working on the intersection between Chemistry and Physics in a small interdisciplinary team. The position will require independence, perseverance, and the willingness to acquaint yourself with new topics and methods.
You should:
Hold a PhD in solid-state NMR, DNP, EPR or a related field Have an excellent track record in reserach proven by publications in this field Have a good understanding of NMR theory and computer simulations Understand the basics of NMR and EPR hardware Be able to optimize and maintain a home-built DNP system Be willing to work closely with PhD students to support and guide them Supervise research projects of undergraduate students Implement sequences on home-built DNP hardware-
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