Internship / Master Thesis - New Methods in

vor 2 Wochen


Jülich, Deutschland Forschungszentrum Jülich Vollzeit

**Your Job**:
At IET-1, we are developing exciting interdisciplinary methods to investigate the key mechanisms in electrolysis using pulsed NMR. Among other methods, we employ quantum optimal control, where simulated spin models are directly used to engineer NMR experiments. At the core of this project stands the Python library JuMPO (Jülich Magnetic Pulse Optimization) which has been developed at our institute. A particular challenge for operando electrolysis experiments in NMR is radiation damping, a phenomenon arising from bulk magnetization in the sample. To overcome this challenge, the project aims to implement methods that penalize bulk magnetization during the pulse optimization process. The resulting pulses are then to be tested on state-of-the-art spectrogram pulse analysis methods. Your tasks include:

- Implementing a bulk magnetization penalty in the JuMPO quantum optimal control library
- Porting a state-of-the-art spectrogram module for pulse sequence analysis from Matlab to Python
- Optimization and spectrogram analysis of pulsed radiation damping suppression
- Optional: Experimental validation of such newly optimized pulses

**Your Profile**:

- Completed Bachelor’s degree in chemistry, physics or related fields
- Knowledge on the fundamentals of NMR spectroscopy
- Experience and Knowledge in Python programming
- Knowledge on the fundamentals of electrochemistry and spin dynamics is desirable
- Interest in interdisciplinary research projects and the ability to work in a cooperative manner
- Ability to show initiative and work independently in a structured, organized way
- Fluent command of written and spoken English

**Our Offer**:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We support you in your work with:

- Flexible working hours as well as a reasonable remuneration
- Flexible work (location) arrangements, e.g. remote work
- Ideal conditions for gaining practical experience alongside your studies in a socially relevant topic
- An interdisciplinary collaboration on projects in an international, committed and collegial team
- Excellent technical equipment and the newest technology
- Qualified support through your scientific colleagues
A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside workThe position is initially for a fixed term of 6 months.


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