Boston, US | Full-time | Fixed-term (6 months)
Riverlane’s mission is to make quantum computing useful far sooner than previously imaginable, starting an era of human progress as significant as the industrial and digital revolutions. Large and reliable quantum computers have the potential to turn fields like clean energy, drug design and aerospace upside down. We’re building the Operating System for these pioneering new machines, leading the world to tackle quantum computing’s defining challenge: error correction. We’re growing fast and making remarkable progress.
About the internship
Our full-time internships are designed to enable current students in a quantitative field to step out of their PhD research for a short time period and to translate their skills and expertise into an industrial setting. We welcome and encourage applications from people who do not have a background in quantum computing, including computer scientists, software engineers and developers.
You will have the opportunity to work alongside our team of software developers, engineers, mathematicians, quantum information theorists, computational chemists and computational physicists – all experts in their fields. Every intern will have a dedicated supervisor and will work on a project designed to make the best use of their background and skills whilst developing their knowledge of quantum computing. We will support all interns to try and produce a concrete output by the end of the internship e.g. a paper, product, or software tool.
What you will do
- Develop an understanding of quantum algorithms and industrial applications of quantum computers
- Research, devise and develop algorithms and software to enhance Riverlane’s capabilities
- Contribute to one or more projects that are core to Riverlane’s scientific goals
- Discuss ideas with colleagues and communicate research in the form of presentations and reports
- Currently pursuing a PhD degree in a highly numerate subject, such as a science, mathematics, computer science, engineering or a related technical field
- Evidence of creative, high-quality academic work
- Experience with at least one general purpose programming language
- Excellent critical thinking and problem-solving ability
- Relevant skillset for the specific internship project that you have applied for
- Strong communication skills, both written and verbal, with a track record of communicating scientific results to colleagues and other audiences
- Ability to take initiative and to work well as part of a team
- Passion for translating academic expertise into an applied industrial setting
- PhD internships are full-time and generally 6 months in length. Starting date will be flexible between late May or early June 2023 – please let us know your preferred dates when you apply.
- Internships are based at our office in Boston.
- We require a signed agreement from you assigning the ownership of any IP produced during your internship to Riverlane.
- We do not provide sponsorship or letters of support for sponsorship applications for our internship scheme.
Please submit your application by 17 February 2023. Interviews will be held via Teams in March 2023.
Interns receive a competitive stipend. We will also pay for any expenses incurred as part of your role e.g. travel to meetings or conferences etc. We do not pay for travel to the office or accommodation in Boston.
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.
If you have any queries, please contact firstname.lastname@example.org.
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.
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.