Among many research institutions of FZJ, five of them participate in OpenSuperQ+ https://www.opensuperqplus.eu - the Jülich Supercomputing Centre (JSC), the Institute for Quantum Computing Analytics (PGI-12), the Institute for Quantum Control (PGI-8), the Institute for Theoretical Nanoelectronics (PGI-2) and the Institute for Functional Quantum Computing (PGI-13).
The contribution of PGI-2 is scientific and toward further development of precise model to predict the response of superconducting quantum processors, aiming at constructing new schemes to better qubits and gates. The PGI-2 team, coordinated by Dr. Ansari https://sites.google.com/site/mansari , is renowned globally for its expertise in accurately modeling such processors. The group specializes in integrating machine learning techniques with circuit QED theory to identify optimal regimes for hardware control and development. With their exceptional skills in device modeling, the team significantly contributes to the success of all experimental partners in the project. Join us now and be a part of this groundbreaking research journey!
Your Job:
Circuit Quantum Electrodynamics (QED) provides insights into the behavior of superconducting qubit circuits with a few qubits, but scaling up the number of qubits presents significant challenges. As the qubit count increases, modeling accuracy diminishes, often resulting in experimental gate and processor performances that rely on imprecise simulations.
Our objective is to refine the model for greater precision and, using this improved model, to identify optimized parameter regimes through extensive machine learning
We collaborate closely with leading experimental teams across Europe to simulate their devices
This collaboration necessitates prompt scientific communication with experimentalists, developing models based on actual devices, and exploring avenues to enhance performance
The work will involve extensive use of numerical and analytical techniques pioneered by our group. We are seeking an applicant with a robust background and experience in machine learning and quantum computing to contribute meaningfully to this project
Key to the success of this project are a strong motivation for original research, self-initiative, and a collaborative approach.
Your Profile:
Masters and subsequent Ph.D. degree in theoretical Physics/Electrical Engineering, Mathematics or a related subject
Solid background and experience in machine learning and quantum computing
Familiarity with Machine Learning and circuit QED is highly desirable
Ability to work in a committed and independent manner with flexibility and open-mindedness for new challenges
Interest in working in an interdisciplinary and international team of scientists
Fluency in written and spoken English
Our Offer:
We work on the very latest issues that impact our society and are offering you the opportunity to actively help in shaping change. Here is what Forschungszentrum Jülich can offer you:
A highly motivated working group as well as an international and interdisciplinary working environment at one of Europe’s largest research institutions
Outstanding scientific and technical infrastructure
Comprehensive training courses and individual opportunities for personal and professional further development
Extensive occupational health management and a variety of sports activities (e.g. beach volleyball court, running groups, yoga classes, and much more)
Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy supported by our Equal Opportunities Bureau https://go.fzj.de/ReconcilingWorkandFamilyLife
Flexible work (location) arrangements, e.g. remote work
Flexible working hours in a full-time position (39 hours/week) with the option of slightly reduced working hours
30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits
You will be initially employed for a fixed term of 2 years but with the prospect of longer-term employment (also depending on performance). Salary and social security benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group 13, depending on your current qualifications and the precise nature of the tasks assigned to you.
We particularly welcome applications from people from a diverse range of backgrounds (e.g. regardless of age, gender, disabilities, sexual orientation/identity, as well as social, ethnic, and religious background). We strive to offer a diverse and inclusive working environment in which people enjoy equal opportunities and are able to fulfill their potential.
