POSITION DETAILS

Department of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health
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 September 2026
Closing date: 17th August 2025

ROLE SUMMARY

• Deliver the research aims outlined within the Grace Kelly Childhood Cancer Trust grant entitled, “Advancing Non-Invasive Brain Tumour Diagnosis through AI driven Clinical Decision Support”.
• This includes, but is not limited to
• Extraction of quantified features from Diffusion Weighted MRI and MR Spectroscopy, Use, further development, and testing of machine learning/AI algorithms
• Integration of radiomic and biological datasets
• Working closely with Medical Physics colleagues on reviewing recommendations for detection of specific metabolites
• Support the curation of research data and code in line with a quality management framework
• Contribute to generating funding through contribution to writing further grant/funding bids to support ongoing research in the field
• Operate within area of specialism, analyse and interpret and present research findings and results
• 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.

• Deliver the research aims outlined within the Grace Kelly Childhood Cancer Trust grant entitled, “Advancing Non-Invasive Brain Tumour Diagnosis through AI driven Clinical Decision Support”, through analysis of MR Diffusion Weighted Imaging and MR Spectroscopy and leading other members of the wider team
• Specific aims of the project
• To prospectively evaluate non-invasive pre-surgical radiomic diagnostic classifiers on brain tumours registered to the Imaging of Tumours Study
• Improve classifiers through addition of additional cases to the repository and further optimisation of classification algorithms
• Correlate/Integrate In Vivo and Ex Vivo metabolite analysis to understand the key metabolic pathways in different tumour types and subtypes
• Identify and harmonise MRI and MRS acquisition protocols for detection and quantification of specific metabolites relevant for specific tumour types/subtypes (led by Medical Physics team)
• 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 MSc and 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.