Position Overview & Specifications
We are seeking a candidate for a full-time Postdoctoral Research Assistant position within Professor Ares’ research group at the Department of Engineering Science (Central Oxford). The post is funded by Innovate and is fixed-term to the 28th February 2025.
For quantum computers to be used practically, a large number of qubits need to be controlled with absolute precision and without errors which is an extremely difficult task. The need to calibrate individual qubits, either to maximise fidelity initially or when parameters drift, constitutes a complicated and repetitive process, requiring deep understanding of the set-up and “muscle memory”.
You will develop scalable and autonomous calibration frameworks to optimise quantum device performance. Machine-learning based algorithms will then make an informed decision about the appropriate calibration routine, which will be implemented by a scalable low-level control software platform, portable to different qubit types.
You should possess a Ph.D/D.Phil (or be near completion*) in a relevant subject. You should have experimental expertise in electrical characterisation of quantum devices at cryogenic temperatures and have a strong background in the theory of quantum devices
Informal enquiries may be addressed to Dr Natalia Ares (email: natalia.ares@eng.ox.ac.uk)
For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/
Only applications received before midday on the 27th March 2023 can be considered. You will be required to upload a covering letter/supporting statement, (describing how past experience fit with the advertised position), CV and the details of two referees as part of your online application.
For quantum computers to be used practically, a large number of qubits need to be controlled with absolute precision and without errors which is an extremely difficult task. The need to calibrate individual qubits, either to maximise fidelity initially or when parameters drift, constitutes a complicated and repetitive process, requiring deep understanding of the set-up and “muscle memory”.
You will develop scalable and autonomous calibration frameworks to optimise quantum device performance. Machine-learning based algorithms will then make an informed decision about the appropriate calibration routine, which will be implemented by a scalable low-level control software platform, portable to different qubit types.
You should possess a Ph.D/D.Phil (or be near completion*) in a relevant subject. You should have experimental expertise in electrical characterisation of quantum devices at cryogenic temperatures and have a strong background in the theory of quantum devices
Informal enquiries may be addressed to Dr Natalia Ares (email: natalia.ares@eng.ox.ac.uk)
For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/
Only applications received before midday on the 27th March 2023 can be considered. You will be required to upload a covering letter/supporting statement, (describing how past experience fit with the advertised position), CV and the details of two referees as part of your online application.