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Quantum Control Physicist (remote-ish)

fully flexible
Remote: 
Full Remote
Contract: 
Full time
Work from: 
Germany

Offer summary

Qualifications:

PhD or MSc in Control of Quantum Systems, Experience in Semiconductor Spin or Ion Trap quantum computing.

Key responsabilities:

  • Optimizing quantum technology devices
  • Developing software tools for device calibration
Qruise logo
Qruise Startup https://www.qruise.eu/
11 - 50 Employees
About Qruise
Qruise develops software that helps scientists and researchers use Machine Learning tools in their day-to-day scientific workflows without having to worry about what's under the hood. ML has revolutionised how science is being done and taking advantage of this new numerical toolset should not require having a full time ML scientist on the team to design, develop and deploy systems. Qruise is developing ML for Science as a productised toolset making ML driven discovery accessible to all. Our first offerings address the growing pains of controlling current generation noisy quantum computers (NISQ devices) and provide improvements in operational fidelities through the use of ML & Quantum Optimal Control.
See more Qruise offers

Job description

What we do
The capabilities of current generation quantum devices are still quite underwhelming. They are slow and error-prone; and scientists spend an enormous amount of time just optimizing their setups. We are gathering the brightest minds to solve this! Join us on our journey to become the world’s leading scientific machine learning company, starting with the control of quantum technology devices. We work remotely, and meet physically once a month for planning, brainstorming and shared meals.
Why we need you
As we build the tools to help scientists better calibrate their quantum devices, we need a team of physicists that both understand the pains of experimentalists (spending days tuning up their system before every data-taking) and the advantage that software & automation services can bring to this process. It is crucial that you feel comfortable in speaking (and translating between) the languages spoken by theoretical physicists and experimentalists/engineers.
Your profile
  • Strong background in Control of Quantum Systems (PhD or MSc with equivalent experience) is required
  • Strong background in Semiconductor Spin or Ion Trap based quantum computing is required
  • Experimental Physics experience or working closely with experimental collaborators or experience with implementing algorithms on hardware is strongly preferred
  • You must enjoy scientific programming and building software systems
  • You must already reside or be willing to relocate near EU time-zones (CET±1)
What we need for your application
Your CV is a good start. But, what we’d really like to see is that you have a proven track record of projects and work in the relevant field. So if you can send us a link to your GitHub, recent projects or real-world examples of what you have done so far, that is what really interests us. Before a possible interview, please think about the following:
  • What is something you accomplished which you are really proud of?
  • What technological developments are you excited about?
  • What are the things that you have taught yourself?
  • What is something you would like to learn or improve in the near future?
Perks & benefits
  • 30 days of paid vacation a year
  • Remote work by default
  • Choose your own work computer
  • Budget for home office equipment
  • Flexible working hours
  • Travel / Co-working space cost reimbursement
  • Regular company-paid team-events
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About us
Qruise creates algorithmic and ML tools to accelerate the development of quantum computers and other quantum technologies. We're an international and diverse team, with most of us located in Germany.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Interdisciplinary CollaborationQuantum ComputingExperimental PhysicsSemiconductor Device PhysicsEffective CommunicationScientific Computing
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