or
Looking to list your PhD opportunities? Log in here.
Despite the essential role food plays in our lives, we have little understanding of how different nutrients work together to impact functioning, or the reasons individuals choose certain combinations of food. The aim of this PhD project is to understand the evolutionary basis of dietary preferences using insects models, such as crickets and fruit flies, in the laboratory.
Using an advanced experimental and analytics technique known as Geometry Framework, this project will test how preferences for different nutrient combinations (e.g. different ratios of protein to non-protein, different combinations of micronutrients) impact life history traits. The successful candidate would develop their own projects within the broad scope of this research program. These might include how natural and sexual selection shape dietary preferences, and how genes interact with dietary environment to impact the phenotypic expression of life history traits. The candidate will have the opportunity to develop skills in multivariate experimental dietary studies, experimental evolution, quantitative genetics, advanced machine learning, systematic reviews and meta-analysis.
Prospective candidates should have Masters or Honours degree (first class or equivalent).
Experience in Ecology and Evolution with an emphasis on invertebrates preferred. Good interpersonal communication and the ability to work as part of a multidisciplinary team will be expected. The ability for independent, organized work and advanced communication skills in English (oral and written) are also essential.
The next international round will open on the 1st of July and close 30th August 2024. Please contact us if you are interested in applying.
Based on your current searches we recommend the following search filters.
Check out our other PhDs in Perth, Australia
Start a New search with our database of over 4,000 PhDs
Based on your current search criteria we thought you might be interested in these.
Self-funded PhD- The genomic basis of major evolutionary transitions
University of Bristol
Finding 30 minutes in the marathon: a systematic approach to training design for the non-elite competitive marathon runner
Anglia Ruskin University ARU
An Information Theoretic Approach to the Smart Grid
University of Sheffield