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Permanent research scientist job openings in qua ... (No replies)
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Applications are invited for job openings at the National Physical Laboratory (NPL) for the development of theoretical algorithms, software and machine learning based models for quantum computers. This is an opportunity for motivated individuals to join NPL’s Quantum Technologies Department within Dr Ivan Rungger's team to work in the Quantum Computing Circuits group in Teddington (London). The work will be done in collaboration with leading quantum computing companies and Universities.
The roles are on a permanent contract basis, and can be at different levels of seniority. The research will be within the following areas:
About you
You should have a Ph.D. or M.Sc. in computational physics, chemistry, mathematics, data science, computer science, quantum technologies or related subjects. Required skills vary across the roles, you will need to demonstrate expertise in at least one, and preferably more, of the following areas:
For the more senior roles an excellent publication track record will be important, as will be the demonstration of the ability to work independently. The senior roles will also require excellent leadership and communications skills, since you will need to mentor those with less experience than you. Across all roles you will be expected to develop commercial and academic collaborations and support any bids we may be undertaking as well as propose your own bids.
How to apply
For informal enquiries please contact Dr Ivan Rungger ([email protected]). For further details and to apply follow this link. When applying please add (a) your CV with the list of publications, (b) a cover letter describing your key research accomplishments and how your skills match the open positions. We welcome all candidates to apply by 7 July 2023. Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as possible.