Data-Intensive Physics & AI Professor

Imperial College London; Greater London; On-site; GBP 75,000 - 115,000; Full time

Benefits offered by this job

State-of-the-art facilities

Access to HPC resources

Tailored academic staff training

Job summary

Imperial College London invites applications for an Assistant Professor or Associate Professor in Data-Intensive Physics and AI. The role blends physics research with machine learning, statistics or scientific computing to analyze complex physics datasets and develop robust AI methods.

Applicants should have a PhD in Physics or related field, an independent international research program, and a record of collaboration and funding success. Teaching, supervision, and leadership are expected.

Qualifications

• PhD in Physics or closely related field or equivalent.
• Independent, internationally recognized research programme addressing defined physics questions.
• Experience with large/complex datasets, simulations or data streams in physics.
• Development of novel AI or ML methods for physics analysis and inference.
• Ability to collaborate across the Department and secure external funding.
• Commitment to high-quality teaching and supervision of students.

Responsibilities

• Conduct and publish internationally leading research in data-intensive physics and AI.
• Contribute to undergraduate and postgraduate teaching and curriculum development.
• Supervise PhD students and junior researchers, and mentor colleagues.
• Secure external research funding and foster collaborations within Imperial.
• Participate in departmental and faculty leadership and strategic development.
• Contribute to the MRes in ML and Big Data in the Physical Sciences.

Skills

Research leadership

Teaching & supervision

Collaboration

Communication

Project leadership

Education

PhD in Physics or closely related field

Tools

GPU computing

AI/ML for physics

Job description

Imperial College London invites applications for an Assistant Professor or Associate Professor in Data-Intensive Physics and AI. The role blends physics research with machine learning, statistics or scientific computing to analyze complex physics datasets and develop robust AI methods.

Applicants should have a PhD in Physics or related field, an independent international research program, and a record of collaboration and funding success. Teaching, supervision, and leadership are expected.