ACAD108035
University of Bristol, Bristol
ACAD108035
£38249-£44128
University of Bristol, Bristol
- Full time
- Temporary
- Onsite working
Posted 2 days ago, 29 Mar | Get your application in today.
Closing date: Closing date not specified
job Ref: 703d48e230d74a368ed7fe4e5cc8d20d
Full Job Description
This fixed-term parental leave cover post is to work on a BBSRC research grant 'Individual differences in affective processing and implications for animal welfare: a reaction norm approach' investigating the existence of trait or personality differences in decision-making and their links to animal welfare in laboratory rats. Candidates should have substantial experience of running rat behavioural studies using operant equipment, plus collecting relevant behavioural testing data (e.g. lickometer, EPM) and physiological samples (e.g. faecal sampling), in order to take over day-to-day management and running of the project, including its research technician, in a fairly short transition period., The postholder's duties will include, with assistance and advice from the leadership team and a research technician: collecting behavioural data and non-invasive physiological samples; preparing samples for analysis; collating, organising, and statistically and computationally analysing data; ensuring project adherence to quality assurance, Health and Safety, University, funders and Home Office rules and regulations; organising the rehoming of all subjects at the end of each study. They will also, with support from the project leadership team, manage the work of the project's research technician.
Applicants should have a PhD in animal welfare, animal behaviour or a related subject. Candidates who have been examined and recommended for the degree of PhD in these areas are also eligible to apply. They should have substantial experience of working with laboratory rats and running rat behavioural studies using Med Associates operant equipment, plus collecting relevant behavioural testing data (e.g. lickometer, EPM) and physiological samples (e.g. faecal sampling). They should have proven capability in data handling, collation, statistical, and computational modelling analysis. Candidates should already have a Home Office PIL, or should hold a PIL training course certificate.
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