Quantum Optimal Control Algorithms Researcher
vor 3 Wochen
We are seeking a highly motivated researcher to join our team at Forschungszentrum Jülich, working on the development of quantum optimal control algorithms for electrochemical NMR applications. As a researcher, you will be responsible for implementing state-of-the-art quantum control algorithms in a Python library called JuMPO, which is currently being developed at our institute.
Your Tasks:- Implementing quantum control algorithms in JuMPO and incorporating them into the library
- Experimental validation of pulses optimized with these algorithms
- Benchmarking pulse optimization performances
- Exchange with experimental NMR spectroscopists
We are looking for a candidate with a strong background in chemistry, physics, data science, or computer science, with a focus on NMR spectroscopy and quantum control. The ideal candidate should have experience in Python programming and a good understanding of electrochemistry and spin dynamics. Additionally, the candidate should be able to work independently and as part of a team, with a strong interest in interdisciplinary research projects.
Our Offer:We offer a unique opportunity to work on a cutting-edge project, with a chance to contribute to the development of new quantum control algorithms. As a researcher at Forschungszentrum Jülich, you will have access to excellent technical equipment and a collaborative working environment. We also offer flexible working hours and a reasonable remuneration package.
We welcome applications from people with diverse backgrounds and perspectives. Our goal is to create a diverse and inclusive working environment where everyone can realize their potential.
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Jülich, Nordrhein-Westfalen, Deutschland Forschungszentrum Jülich VollzeitJob Title: Quantum Optimal Control Algorithms for Electrochemical NMR ApplicationsWe are seeking a highly motivated and skilled researcher to join our team at Forschungszentrum Jülich. The successful candidate will have the opportunity to work on a cutting-edge project focused on developing quantum optimal control algorithms for electrochemical NMR...
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