Postdoctoral Research Associate (Fixed Term)

British Society; Cambridge; A distancia; GBP 35.000 - 52.000; Jornada completa

Descripción de la vacante

The Leverhulme Centre for the Future of Intelligence (CFI) at the University of Cambridge invites applications for a Postdoctoral Research Associate in trustworthy AI, led by Professor Adrian Weller. This fixed-term post is funded for two years.

The appointed researcher will develop and evaluate methods at the frontier of trustworthy AI, collaborating with domain experts and stakeholders, and disseminating results at leading venues such as NeurIPS, ICML, ICLR, FAccT and AIES.

Formación

• PhD completed or near completion in Computer Science, Information Engineering, Statistics, Machine Learning or closely related field.
• Expertise in trustworthy AI areas such as human-AI interaction, fairness, transparency and interpretability, privacy, or robustness.
• Strong understanding of machine learning methods, together with excellent mathematical and programming skills.

Responsabilidades

• Develop and evaluate methods at the frontier of trustworthy AI.
• Validate methods on real-world problems in partnership with domain experts and stakeholders.
• Publish and present results at leading venues in ML and AI ethics and society.

Conocimientos

Machine Learning

Mathematics

Programming (Python)

Educación

PhD in Computer Science or related field

Descripción del empleo

The Leverhulme Centre for the Future of Intelligence (CFI) at the Institute for Technology and Humanity are inviting applications for a Postdoctoral Research Associate. This is an exciting opportunity to work within a research project in trustworthy AI, led by Professor Adrian Weller. This is a fixed-term post where funding is available for two years.

The research project investigates how to develop fundamental theory and methods that enable machine learning systems to be deployed in a trustworthy manner. The project spans human-AI interaction, fairness, transparency, privacy and other approaches to optimising deployed AI systems as human-machine teams. The postdoc will conduct research developing and evaluating methods at the frontier of trustworthy AI, validating them on real-world problems in partnership with domain experts and stakeholders, and publishing and presenting results at leading venues in machine learning (such as NeurIPS, ICML and ICLR), AI ethics and society (such as FAccT and AIES), as well as policy fora.

Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning or a closely related field, with expertise in one or more areas of trustworthy AI, such as human-AI interaction, fairness, transparency and interpretability, privacy, or robustness. A strong understanding of machine learning methods, together with excellent mathematical and programming skills, is required.

CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Based at the University of Cambridge, the Centre has close links with industry, policymakers, and many academic disciplines.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.