Vacancies
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Current vacancies
Research Associate
Closing date: 23/03/2025
Employer: The University of Sheffield (School of Medicine & Population Health)
Location: Sheffield
Job Id: 859
This highly interdisciplinary post-doctoral research associate (PDRA) position will advance our understanding of the effect of the combined biomechanical and pharmacological treatments on musculoskeletal biomechanics using mouse experiments, imaging and multiscale computational models.
The position is funded as part of a large research project “Virtual Mouse and Human Twins for optimising Treatments for Osteoporosis (VMHTsOP)”, selected as an ERC-Consolidator award and funded by the EPSRC. The PDRA will work in Prof Enrico Dall’Ara’s group and deliver on the computational assessment of bone adaptation in mouse models, creating and validating the first mouse virtual twin for optimising treatments for osteoporosis.
The ideal candidate will have an excellent PhD in bone biomechanics (or a related discipline), possess a solid knowledge of finite element models, cell-population models, and validation approaches to provide credibility of the computational models.
Ensuring the achievement of the project objectives will advance the vision of the Insigneo institute to validate computational models for the musculoskeletal system and produce a transformational impact on healthcare. The PDRA will also sustain and strengthen collaboration within relevant Insigneo research groups and beyond; and will commit to Insigneo’s mission to produce high quality cutting-edge research.
How to apply
To apply visit our job pages (https://jobsite.sheffield.ac.uk/) and search
for job ID: 859
Contact details
For informal enquiries about this job contact Professor Enrico Dall’Ara, Professor of musculoskeletal Biomechanics: on e.dallara@sheffield.ac.uk
PhD Opportunity: Virtual Human Twin for predicting bone adaptation due to pharmacological and biomechanical treatments
Closing date: 31/03/2025
Employer: The University of Sheffield (School of Medicine & Population Health)
Location: Sheffield
Do you want to make a difference in healthcare by developing state of the art computational models to help managing patients with osteoporosis? Do you want to challenge yourself in the multidisciplinary field of biomechanics, image processing and skeletal diseases?
This is the PhD project for you!
You will work in an exceptional multidisciplinary and diverse team of bioengineers and biologists from all over the world who work hard to develop and validate computational models to improve the management of patients with skeletal diseases such as osteoporosis, osteoarthritis and bone metastases.
In particular, you will join other six researchers (postdocs, PhD students and technicians) to work on the Virtual Mouse to Human Twins for Osteoporosis (VMHTsOP) project. You will learn, develop and validate multiscale computational models to predict bone adaptation over time in osteoporotic patients and help optimizing their personalized pharmacological and biomechanical treatments. In particular, you will evaluate the effect of biomechanical or pharmacological interventions on the bone properties by analyzing Computed Tomography images, Finite Element (FE) models, and Cell Population (CP) models.
We particularly encourage candidates with previous experience with image processing and/or finite element models for skeletal applications to apply.
Entry Requirements:
Candidates must have a first class honours degree as a minimum.
How to apply:
Please complete a University Postgraduate Research Application form available here: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
Please clearly state the prospective main supervisor in the respective box and select ‘School of Medicine and Population Health’
Enquiries:
Interested candidates should in the first instance contact Professor Enrico Dall'Ara e.dallara@sheffield.ac.uk
Start date - October 2025
Funding Notes
This studentship is open to students with 'UK Home Fee Status' only: Home or overseas fee status | Support for new students | The University of Sheffield
HOME Fee Status Tuition Fees and stipend - 3.5 years at UKRI rates.
Funding for attending conferences and courses is available.
