Research Fellow in Quantum Machine Learning

Salary: Full time starting salary is normally in the range £36,130 to £45,413 with potential progression once in post to £48,149

Contract Type: Fixed Term contract up to March 2028

Background

This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity, generalization, and adversarial robustness, and the inter-play between them. These foundational insights will guide the design of novel algorithmic strategies, pushing the boundaries of quantum-enhanced learning. This 2.5-year postdoctoral position is funded by the Principal Investigator’s recently awarded EPSRC Quantum Technologies Career Acceleration Fellowship.

Role Summary

• Work within specified research grants and projects and contribute to writing bids 
• Operate within area of specialism 
• Analyse and interpret research findings and results 
• Contribute to generating funding 
• Actively publish in top journals and conference 
• Contribute to licensing or spin out deals with demonstrated commercial success (such as revenues, asset or company sales, IP generated) and/or public understanding of the discipline or similar 

Main Duties

The responsibilities may include some but not all of the responsibilities outlined below. 

• Develop research objectives and proposals for own or joint research, with assistance of a mentor if required 
• Contribute to writing bids for research funding 
• Analyse and interpret data 
• Apply knowledge in a way which develops new intellectual understanding 
• Disseminate research findings for publication, research seminars etc 

Person Specification

• First degree in area of specialism and normally, a higher degree relevant to research area or equivalent qualifications/experience
• High level analytical capability
• Ability to communicate complex information clearly
• Essential criteria: Demonstrated research experience with publications in top journals (or conferences) in one or more of the following areas: Quantum machine learning, Quantum algorithms, Quantum information theory or Theoretical Physics
• Essential criteria: Proficiency in at least one programming language, with a strong preference for Python.
• Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields
• Fluency in relevant models, techniques or methods and ability to contribute to developing new ones
• Ability to assess resource requirements and use resources effectively
• Understanding of and ability to contribute to broader management/administration processes
• Contribute to the planning and organising of the research programme and/or specific research project
• Co-ordinate own work with others to avoid conflict or duplication of effort
• Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly

Informal enquiries to Sharu Jose, email: s.t.jose@bham.ac.uk 

To download the full job description and details of this position and submit an electronic application online please click on the 'Apply' button above.

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