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Quantum Algorithms Researcher

Riverlane
Cambridge
1 month ago
Applications closed

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Description

Cambridge UK Fulltime or Parttime Permanent Hybrid

Salary: 55000 to 80000 DOE

The salary range for this role is broad as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience) transferable relevant skills and previous relevant achievements.

We will also consider parttime applications for this role. Please indicate your preferred working schedule in your cover letter.

About us

Riverlanes mission is to make quantum computing useful sooner. From advances in material science to complex chemistry simulation for drug design and discovery quantum computers will help solve some of the worlds most important challenges. Riverlane is building the quantum error correction stack Deltaflow to make this happen. Its a complex problem that requires a range of skills talent and passion.

We recently raised $75M inSeries C funding to accelerate our cuttingedge R&D in quantum error correction (QEC) and are partnering with many of the worlds leading quantum hardware providers and government agencies to make faulttolerant quantum computing a reality. Were making remarkable progress and growing fast.

About the role

As a Quantum Algorithms Researcher at Riverlane you will be a valued member of our Discover team which investigates quantum algorithms and their applications to realworld problems. This team consists of physicists chemists and mathematicians who collaborate with worldleading experts in algorithm development as well as in in other areas such as quantum error correction.

This is a really exciting opportunity to contribute to Riverlanes efforts to find the most promising early applications of quantum computing in chemistry fluid dynamics and other potential fields of interest.

As a Quantum Algorithms Researcher at Riverlane you will participate in the wider academic community by contributing to research articles for publication as well as participating in conferences. As such our Discover team provides internal expertise as well as being widely recognised in the industry for their contributions to quantum algorithms.

This position is wellsuited to a highly motivated individual with a mathematical/theoretical physics/computer science background who has a keen interest to learn develop and contribute to creative research on quantum help you excel in this role we will support you to learn and develop an understanding of quantum algorithms and related concepts previous knowledge is not required.

What you will do

  • Learn about existing quantum algorithms and developing new ones in addition to finding new areas of applications for these methods
  • Undertake academic pursuits such as reading papers participating in journal clubs writing papers and presenting research at conferences
  • Write code to test scientific ideas and contribute to softwarefocused products
  • Lead or participate in projects involving a small team of colleagues
  • Collaborate with internal teams to integrate your work with other research areas at Riverlane
  • Develop relationships with new partners and customers in industry and academia
  • Contribute to hardware experiments in your area of expertise



Requirements

What we need

  • PhD and excellent academic performance in a subject with strong mathematical focus (e.g. mathematics theoretical physics theoretical chemistry computer science)
  • Experience in scientific research (in academia or industry)
  • Ability to work both independently and collaboratively including:
    • Being prepared to discuss current progress with team members
    • Strong oral and written communication skills
  • Eagerness and motivation to learn about and apply technical skills in new topics related to quantum algorithms
  • Strong problemsolving skills

Even better if you have

  • Experience with quantum algorithms/applications of quantum computing
  • Knowledge of quantum error correction
  • Strong programming skills preferably (but not necessarily) Python
  • Experience with version control (e.g. Git)

How to apply

Please upload a CV and covering letter by clicking Apply Now. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.

We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. So please apply as soon as possible to avoid missing out on this role.

If you have any queries please contact.

Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age disability ethnicity gender gender reassignment religion or belief sexual orientation marital or civil partnership status or pregnancy and maternity/paternity.

Studies have shown that women tend to apply to jobs if they meet all or almost all of the requirements whereas men apply even if they meet only some of the requirements. If that sounds like you then please apply we are happy to review your application and let you know if we think you might be a good fit.

If you need any adjustments made to the application or selection process so you can do your best please let us know. We will be happy to help.



Benefits

What you can expect from us

  • A comprehensive benefits package that includes annual bonus private medical insurance life insurance and a contributory pension scheme
  • Equity so that our team can share in the longterm success of Riverlane
  • 28 days annual leave plus bank holidays and enhanced family leave
  • A diverse work environment that brings together experts in many fields (including software and hardware development quantum information theory physics and maths) and over 20 different nationalities
  • A learning environment that encourages individual team and company growth and learning including an annual training and conference budget


Key Skills
Intelligence Community Experience,Python,Spss,Microsoft Word,R,Regression Analysis,Windows,Stata,Microsoft Powerpoint,Research Experience,Data Modeling,Writing Skills
Employment Type :Full-Time
Experience:years
Vacancy:1
Monthly Salary Salary:55000 - 80000

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