Research Fellow
About The Position
A rare and exciting opportunity exists to get involved in high-impact research in evolutionary physiology at the School of Biological Sciences alongside world-class researchers. You will have the opportunity to design and undertake research, focused on understanding the evolutionary drivers and ecological consequences of variation in metabolic rate, life history, and thermal tolerance in animals (primarily insects). The successful incumbent will undertake measurement of metabolic rate using high-throughput flow-through respirometry, use artificial selection to create replicate populations of organisms that differ in their life history, and phenotype the physiological, ecological, behavioural, and life history traits of the resultant populations. The patterns identified through this endeavour will be compared with patterns observed in comparative data sets compiled from the literature, analysed using phylogenetically informed statistical approaches.
Requirements
- Hold a doctoral qualification in the relevant discipline or a closely related field.
- Demonstrated capacity in one or more of: the measurement of metabolic rate of animals using direct or indirect calorimetry, experimental evolution studies, phylogenetically informed statistical analysis of comparative data compiled from the literature and/or collected using experimental studies, and the ability to develop and implement evolutionary models.
Responsibilities
- Design and undertake research focused on understanding the evolutionary drivers and ecological consequences of variation in metabolic rate, life history, and thermal tolerance in animals (primarily insects).
- Undertake measurement of metabolic rate using high-throughput flow-through respirometry.
- Use artificial selection to create replicate populations of organisms that differ in their life history.
- Phenotype the physiological, ecological, behavioural, and life history traits of the resultant populations.
- Compare identified patterns with comparative data sets compiled from the literature.
- Analyse data using phylogenetically informed statistical approaches.
Benefits
- Flexible and hybrid working arrangements
- Policies in place enabling staff to combine work and personal commitments
- Support for parents
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
