We are offering a

Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications

titel

At the Institute of Energy and Climate Research - Fundamentals of Electrochemistry (IEK-9), we perform research on highly relevant topics related to the energy transition. For example, we investigate the battery of the future and new battery concepts. How we can turn the greenhouse gas carbon dioxide (CO2) into the fuel of the future or how electrolysis can contribute to a hydrogen energy economy are other exciting projects. The aim is to develop sustainable and cost-effective batteries and fuel cells with improved energy and power density, longer life-time, and maximal safety. Find out more about our mission and future-oriented projects here: https://go.fzj.de/IEK-9

Institute issuing the offer
IEK-9
external id
2024M-034

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

In addition to exciting tasks and a collaborative working atmosphere in Jülich, we have a lot more to offer: https://go.fzj.de/benefits

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

We look forward to receiving your application. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible.

Apply now

Questions about the offer?

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Last Modified: 12.06.2024