Postdoc: Reliable Neuromorphic, Classical & Quantum AI

The Institute of Ai; Greater London; Hybrid; GBP 36,000 - 49,000; Full time

Benefits offered by this job

Flexible working

Employee assistance programme

Season ticket loans

Cycle-to-work scheme

Parental leave

Job summary

Northeastern University London invites applications for one Post-Doctoral Research Associate in Reliable Neuromorphic, Classical, and Quantum AI to work with Professor Osvaldo Simeone. The successful candidate will join an ambitious research programme aimed at developing principled, statistically reliable frameworks for next-generation AI in engineering contexts.

The role focuses on reliability, uncertainty quantification, and calibration in AI models, addressing non-deterministic, data-limited,

Qualifications

• PhD, or equivalent professional experience, in Machine Learning, Statistics, Electrical Engineering, Computer Science, or a related field.
• Demonstrated experience with mathematical modelling, algorithm design, or theoretical analysis of learning systems.
• Proficiency in Python
• Background in statistical learning theory, conformal prediction, multiple hypothesis testing, quantum machine learning, neuromorphic computing, or reliable inference.
• Demonstrated ability to plan, execute, and publish research.

Responsibilities

• Conduct independent and collaborative research in reliable AI for classical, neuromorphic, and/or quantum systems.
• Develop and analyze new algorithms for calibration, reliability monitoring, and adaptive decision-making.
• Collaborate with international partners in academia and industry on cross-disciplinary research at the interface of AI, information theory, and physics.
• Publish results in leading journals and conferences in machine learning, information theory, and quantum information.
• Present research findings at project meetings, workshops, and international symposia.
• Support the supervision and mentoring of PhD students and research assistants within the group.
• Contribute to the preparation of project deliverables, reports, and future funding proposals.

Skills

Python

Mathematical modelling

Theoretical analysis

Statistical learning theory

Conformal prediction

Quantum machine learning

Neuromorphic computing

Education

PhD or equivalent

Job description

Northeastern University London invites applications for one Post-Doctoral Research Associate in Reliable Neuromorphic, Classical, and Quantum AI to work with Professor Osvaldo Simeone. The successful candidate will join an ambitious research programme aimed at developing principled, statistically reliable frameworks for next-generation AI in engineering contexts.

The role focuses on reliability, uncertainty quantification, and calibration in AI models, addressing non-deterministic, data-limited,