Internship / Master Thesis - Quantum Optimal
Vor 7 Tagen
**Your Job**:
At IEK-9, we are developing exciting interdisciplinary methods to investigate the key mechanisms in batteries and electrolysis using pulsed NMR. By understanding the spin states that have to be experimentally prepared, we are tailoring magnetic pulses to push the limits of NMR in operando experiments, probing for example interfaces or membranes. Currently, we are building the theoretical and computational infrastructure to employ quantum optimal control methods, 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 is currently being developed at our institute. It has already been experimentally validated and is to be expanded with other quantum control algorithms. Your tasks include:
- Implementing state-of-the-art quantum control algorithms in a manner that is accessible to NMR spectroscopists and incorporating them into JuMPO
- Experimental validation of pulses optimized with these newly implemented algorithms
- Benchmarking pulse optimization performances
- Exchange with experimental NMR spectroscopists
**Your Profile**:
- Ongoing master studies in chemistry, physics, data science, computer science or a related field
- Knowledge on the fundamentals of NMR spectroscopy
- Experience in Python programming
- Expertise 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:
- An interesting and socially relevant topic for your thesis with future-oriented themes
- Ideal conditions for gaining practical experience alongside your studies
- 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
- The chance to independently prepare and work on your tasks
- A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
- Flexible working hours as well as a reasonable remuneration
Flexible work (location) arrangements, e.g. remote work
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