We are seeking a talented and motivated research scientist to join our team, led by Dr. Anna Pearson, to contribute to cutting-edge research in Compositional Intelligence (CI) and Quantum Natural Language Processing (QNLP). The successful candidate will play a pivotal role in the conceptual design, training, and testing of QNLP experiments, as well as other emerging initiatives. The role also involves contributing to outreach activities to promote QNLP and related fields.
Responsibilities:
Collaborate with the implementation team on the design, training, and testing of the DisCoCirc model for natural language processing on quantum hardware. Lead and support efforts to apply quantum computing techniques to compositional models of language. Engage in research and development for new and ongoing QNLP projects in collaboration with academic and industry partners. Contribute to outreach and dissemination efforts related to QNLP and the broader field of compositional intelligence. Participate in the writing of research papers, grant proposals, and presentations at conferences. Key Requirements: Proven experience in experimental quantum physics, with a strong understanding of quantum hardware and algorithms. PhD in Physics or a closely related field. In-depth knowledge of the DisCoCirc model and its applications in natural language processing. Strong foundation in string diagrams and category theory. Demonstrated ability to collaborate in interdisciplinary teams and effectively communicate research outcomes. Experience with outreach activities in QNLP or related areas is highly desirable. Desirable Skills: Familiarity with real-world datasets for language processing tasks. Strong organisational skills with the ability to manage multiple research projects simultaneously. What is in it for you?
Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package, equity, 28 days of paid holiday (in addition to public holidays), a workplace pension, a positive approach to flexible working and enhanced parental and adoption benefits.
About Us:
Science Led, Enterprise Driven - Accelerating Quantum Computing.
Quantinuum is the world's largest integrated quantum company, pioneering powerful quantum computers and advanced software solutions. Quantinuum's technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With approximately 500 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents.
We unite best-in-class software with high-fidelity hardware to accelerate quantum computing. With integrated full-stack technology, our world-class team is rapidly scaling quantum computing. We're hiring the world's best talent to make it happen. Join us!
Quantinuum recently secured $300m in funding, visit our news pages to learn more about this and other Quantinuum scientific breakthroughs and achievements:
https://www.quantinuum.com/news
Please note that employment with us is subject to successfully passing our pre-employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. #J-18808-Ljbffr
Responsibilities:
Collaborate with the implementation team on the design, training, and testing of the DisCoCirc model for natural language processing on quantum hardware. Lead and support efforts to apply quantum computing techniques to compositional models of language. Engage in research and development for new and ongoing QNLP projects in collaboration with academic and industry partners. Contribute to outreach and dissemination efforts related to QNLP and the broader field of compositional intelligence. Participate in the writing of research papers, grant proposals, and presentations at conferences. Key Requirements: Proven experience in experimental quantum physics, with a strong understanding of quantum hardware and algorithms. PhD in Physics or a closely related field. In-depth knowledge of the DisCoCirc model and its applications in natural language processing. Strong foundation in string diagrams and category theory. Demonstrated ability to collaborate in interdisciplinary teams and effectively communicate research outcomes. Experience with outreach activities in QNLP or related areas is highly desirable. Desirable Skills: Familiarity with real-world datasets for language processing tasks. Strong organisational skills with the ability to manage multiple research projects simultaneously. What is in it for you?
Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package, equity, 28 days of paid holiday (in addition to public holidays), a workplace pension, a positive approach to flexible working and enhanced parental and adoption benefits.
About Us:
Science Led, Enterprise Driven - Accelerating Quantum Computing.
Quantinuum is the world's largest integrated quantum company, pioneering powerful quantum computers and advanced software solutions. Quantinuum's technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With approximately 500 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents.
We unite best-in-class software with high-fidelity hardware to accelerate quantum computing. With integrated full-stack technology, our world-class team is rapidly scaling quantum computing. We're hiring the world's best talent to make it happen. Join us!
Quantinuum recently secured $300m in funding, visit our news pages to learn more about this and other Quantinuum scientific breakthroughs and achievements:
https://www.quantinuum.com/news
Please note that employment with us is subject to successfully passing our pre-employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. #J-18808-Ljbffr
