Identifying serum biomarkers in PFAS serum concentration using metabolomics
Project overview
Project title
Identifying serum biomarkers correlated with longitudinal and cross-sectional trends in PFAS serum concentration using metabolomics.
Project description
This project investigates the health impacts of PFAS exposure in firefighters using advanced metabolomic techniques to identify biomarkers. The expected outcome is the development of new biomarkers for PFAS exposure, enhancing health diagnostics and preventive measures. This research will potentially lead to improved health risk assessments, better regulatory policies, and enhanced safety for workers exposed to hazardous substances.
Supervisory team
University
| Name of university supervisor | Jochen Mueller Sandra Nilsson |
| Name of university | The University of Queensland |
| Email address | j.mueller@uq.edu.au s.nilsson@uq.edu.au |
| Faculty | Faculty of Health, Medicine and Behavioural Sciences |
CSIRO
| Name of CSIRO supervisor | David Beale Georgia Sinclair |
| Email address | david.beale@csiro.au georgia.sinclair@csiro.au |
| CSIRO Research Unit | Environment |
Industry
| Name of industry supervisor | Craig Barnes |
| Name of business/organisation | Airservices Australia |
| Email address | craig.barnes@airservicesaustralia.com |
Further details
| Primary location of student | CSIRO Dutton Park, 41 Boggo Road, Dutton Park QLD 4102, Australia |
| Industry engagement component location | Airservices Australia, 25 Constitution Avenue, Canberra ACT 2601, Australia Airservices Australia, Airport Drive, Brisbane Airport QLD 4009, Australia The University of Queensland, 20 Cornwall Street, Wollongabba QLD 4102, Australia |
| Other locations | The University of Queensland, 20 Cornwall Street, Wollongabba QLD 4102, Australia |
| Ideal student skillset | A degree in biochemistry, cell biology, analytical biochemistry or equivalent is essential. Experience with high-resolution mass spectrometry instruments, metabolomics or PFAS (Per- and polyfluoroalkyl substances), multivariate statistical analyses and artificial intelligence/machine learning (AI/ML) modelling techniques and exposure research is desirable but not a must as long as the student has a strong interest and willingness to learn. |
| Application close date | Open until position filled |
| Apply | Contact Jochen Mueller |