Research Fellow in Microbial Symbiosis
* We are seeking an early career academic with a strong foundation in microbiology, bioengineering, applied mathematics or a related discipline.
This role focuses on uncovering the mechanisms of symbiotic formation and maintenance using innovative biophysical techniques.
You will conduct experimental and theoretical research using microfluidics, high-speed video microscopy, and mathematical modelling to study the interactions between bacteria and algal endosymbionts.
Your responsibilities will include:
* Significantly contributing towards the research effort of the team and developing your research expertise with an increasing degree of autonomy.
* Conducting internationally competitive research, resulting in publications in high-impact journals.
* Contributing to and publishing academic papers and other scholarly outputs to a high academic standard.
* Actively participating in research seminars and conferences to disseminate research findings as opportunities arise.
* Contribute to teaching, training, scientific mentoring and supervision of students.
What we offer you
A supportive work environment underpinned by our commitment to inclusion and well-being.
Progressive, considerate leave provisions to empower your work-life balance.
Access to a range of discounted services including Bupa health insurance.
Health and well-being services including a leading Employee Assistance Program.
About this opportunity
This role is funded by the Gordon and Betty Moore Foundation's Symbiosis in Aquatic Systems grant.
You will contribute to both your own research and projects led by students in Associate Professor Douglas Brumley's research group.
You may be a great fit if:
* You have a strong foundation in microbiology, bioengineering, applied mathematics or a related discipline.
* You have experience in microbial culturing techniques and imaging / microscopy.
* You have demonstrated experience in at least one of the following topics: image processing, cell tracking, fluid dynamics, mathematical biology, agent-based modelling.
* You have a demonstrated aptitude for research, with a sound publication record in relevant areas, commensurate with experience and opportunities.
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