FAQs
What is the primary focus of this Research Associate position?
The primary focus is on developing advanced microgel formulations for pre-clinical testing in tissue engineering and accelerating wound-healing, utilizing machine learning and high-throughput methodologies.
What qualifications are required for this position?
A PhD (or equivalent experience) in a relevant field, alongside expertise in soft materials design, is required. Candidates should also have a familiarity with machine learning methods and high-throughput experimentation.
Where will this position be based?
This position will be based in the School of Physical Sciences at the University of Liverpool, specifically in the cutting-edge Materials Innovation Factory (MIF).
Is experience with machine learning necessary for this role?
While not mandatory, familiarity with machine learning methods is highly beneficial for developing predictive models for formulation properties.
Who will I be working with in this project?
You will work closely with Dr Forth, Dr Sharratt, and the Project Lead, Dr Katarzyna Gurzawska-Comis, within a multidisciplinary team environment.
What is the duration of this position?
This post is fixed-term for 3 years, commencing in May 2025.
Are informal enquiries accepted regarding this role?
Yes, informal enquiries are welcomed. You can contact Dr Joe Forth or Dr Will Sharratt via the provided email addresses.
What happens if I have not yet been awarded my PhD by the time of hire?
If you are still awaiting your PhD award, you will be appointed at Grade 6, spine point 30. Upon written confirmation of your PhD award, your salary will increase to Grade 7, spine point 31.
Does the University of Liverpool promote diversity in its hiring process?
Yes, the University of Liverpool is committed to enhancing workforce diversity and actively seeks to attract, develop, and retain colleagues from diverse backgrounds and perspectives.
Will I have access to any special facilities for my research?
Yes, you will have access to state-of-the-art facilities at the Materials Innovation Factory, dedicated to advanced materials research and computationally accelerated materials discovery.