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Research Assistant (Fixed Term) (SCI128025)
Salary not available. View on company website.
University of Nottingham, Digbeth, Birmingham
- Onsite working
- Part time
- Temporary
Posted 2 days ago, 7 Apr
Job ref: 95a0fe30cdb6413ea6cdaa84339174d6
Full Job Description
You will create predictions for how foragers should vary in their stay-of-leave decisions for different types of decision algorithm. You will then get to test those predictions using data from humans and rodents tackling foraging tasks, to work out which algorithm best explains how foragers decide to leave., This post will be offered on a fixed-term contract for a period of up to 12 months in the first instance. Part-time working at a minimum of 3 days per week is possible. Requests for secondment from internal candidates may be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role. Further information is available in the role profile. To apply for this vacancy please click 'Apply Now' to complete your details. Address informal queries to Professor Mark Humphries, mark . Please note that applications sent directly to this email address will not be accepted. Further details: Our University is a supportive, inclusive, caring and positive community. We welcome those of different cultures, ethnicities and beliefs - indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, see our Applicants for this post will be considered on an equal basis, subject to the relevant permission to work in the UK as defined by the requirements set out by UK Visas & Immigration. Please visit: for more information. For successful international applicants, we provide financial support for your visa and the immigration health surcharge, plus an interest-free loan to help cover the cost of immigration-related expenses for any dependents accompanying you to the UK. For more information please see our webpages.
You will have some experience in computational modelling of behaviour, such as decision-making models or reinforcement learning, and good programming skills in Matlab and/or Python. You will have completed an undergraduate degree or MSc in a quantitative discipline.
We seek a predoctoral research assistant to join the Humphries' group at the University of Nottingham on a BBSRC-funded project to study the neural basis of foraging, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan Lepora (Bristol). Whether choosing to leave one shop for another, switching TV programs, or seeking berries to eat, humans and other animals make endless stay-or-leave decisions, but how we make them is not well understood. The goal of this project is to find out if there is common decision algorithm for leaving across species and what that algorithm is.
The Humphries' group ( ) is part of a major research centre in computational neuroscience at the University of Nottingham, which includes the teams of Professors Mark van Rossum (Psychology), Stephen Coombes (Mathematical Sciences), and Markus Kaiser (Medicine). We draw on and develop a wide range of computational approaches to data, including unsupervised machine learning, network theory, and dynamical systems theory. What we offer-
- A friendly, diverse, and supportive working environment
- A hybrid working arrangement with the blended approach of home and office working each week
- Generous holiday entitlement of 30 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year.
- Our reward scheme grants bonuses of numerous values for excellent work
- We are committed to staff development through the provision of training, continued support, and career progression opportunities
- You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our