Job Description

Job Description

Job Description

Boston, US | Full-time | Fixed-term (3-6 months)

About us

Riverlane’s 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 world’s most important challenges. Riverlane is building the quantum error correction stack to make this happen. It’s a complex problem that requires a range of skills, talent and passion. We’re making remarkable progress and growing fast.

About the internship

Our full-time internships are designed to enable current students in a quantitative field 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. Please note that PhD students will be required to step out of their PhD research for a short time period.

During the internship, you will have the opportunity to work alongside our team of talented 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. Where possible, 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.

Requirements

What you will do

• Develop an understanding of quantum algorithms and industrial applications and/or the error correction schemes required for large scale quantum computing
• 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

Requirements

• Currently pursuing a Master's or PhD degree in a highly numerate subject, such as a science, Mathematics, Computer Science, Electronic 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

Important notes

• PhD internships are full-time and generally 3-6 months in length. Starting date will typically be early-mid June 2025, but there is some flexibility if needed – please let us know your preferred dates and duration when you apply .
• Internships are in-person and based at our office in Boston, USA
• We require a signed agreement from you assigning the ownership of any IP produced during your internship to Riverlane
• Regrettably, we are unable to provide sponsorship or letters of support for sponsorship applications for our internship schemes

How to apply

Please upload a cover letter and CV. Your cover letter should explain why you are applying for the internship and what skills and experience you can bring to the role.

Deadline

Please submit your application by Friday 29th November, 2024 . Interviews will be held via video (Teams) in December 2024.

Benefits

Stipend

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 are unable to pay for travel to the office or accommodation in Boston.

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.

Job Tags

Similar Jobs