Location: University of Birmingham, Edgbaston, Birmingham UK
Full time starting salary is normally in the range 36,130 to 45,413 with potential progression once in post to 48,149
Grade: 7
Full Time, Fixed Term contract up to March 2028
Closing date: 13th August 2025
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
Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
Contribute to developing new models, techniques and methods
Undertake management/administration arising from research
Contribute to Departmental/School research-related activities and research-related administration
Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader
Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews
Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters
Provide guidance, as required, to support staff and any students who may be assisting with the research
Deal with problems that may affect the achievement of research objectives and deadlines
Promotes equality and values diversity acting as a role model and fostering an inclusive working culture.
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 theoryor 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
We believe there is no such thing as a 'typical' member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone
on our website
.
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