Research Fellow (Fixed Term)
Nottingham
Fixed-term
Full-time
Grade not specified
Closes in 10 days
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Sign in Create an accountApplications are invited for a Research Fellow to join an exciting research programme investigating the neural and cognitive mechanisms that support complex visual behaviour.
The project will combine behavioural experimentation, eye tracking, next-generation OPM-MEG neuroimaging, computational modelling, and advanced data analysis approaches to understand how people make decisions while searching dynamic visual environments. The research aims to advance understanding of adaptive behaviour and decision-making in free-viewing tasks.
The successful candidate will contribute to experimental design, data collection, analysis and dissemination activities, working with multimodal behavioural and neuroscientific datasets. There will be opportunities to contribute to the development of novel analytical and computational approaches within a highly collaborative research environment.
You will join an interdisciplinary team led by Dr Matias Ison with expertise spanning cognitive neuroscience, neuroimaging, eye movement research, computational modelling, and human behaviour. The role offers opportunities to collaborate with national and international partners, contribute to high-impact publications, and help develop innovative open-science resources for the wider research community.
You will hold a PhD in Neuroscience, Cognitive Science, or a closely related discipline. We are particularly interested in candidates with experience investigating how learning, contextual information, or reward contingencies influence neural representations and behaviour, and who are interested in developing biologically informed accounts of adaptive behaviour and decision making.
You should have experience analysing complex behavioural or neuroscientific datasets and be comfortable working with quantitative and computational methods. Experience with neurophysiological or related approaches to studying neural function would be advantageous, as would experience applying computational approaches to behavioural and neural data.
You will be able to work effectively both independently and as part of a multidisciplinary research team and have a developing publication record commensurate with your career stage. Experience working with international collaborators and willingness to engage in collaborative activities with partner institutions would be beneficial.
What we offer:
- A friendly, diverse, and supportive working environment
- 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
- Commitment to staff development through the provision of training, continued support, and career progression opportunities
- Access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more
Your normal working hours will be 36.25 hours per week. This is a fixed-term contract for 12 months with an anticipated start date of 24 February 2027.
The project will combine behavioural experimentation, eye tracking, next-generation OPM-MEG neuroimaging, computational modelling, and advanced data analysis approaches to understand how people make decisions while searching dynamic visual environments. The research aims to advance understanding of adaptive behaviour and decision-making in free-viewing tasks.
The successful candidate will contribute to experimental design, data collection, analysis and dissemination activities, working with multimodal behavioural and neuroscientific datasets. There will be opportunities to contribute to the development of novel analytical and computational approaches within a highly collaborative research environment.
You will join an interdisciplinary team led by Dr Matias Ison with expertise spanning cognitive neuroscience, neuroimaging, eye movement research, computational modelling, and human behaviour. The role offers opportunities to collaborate with national and international partners, contribute to high-impact publications, and help develop innovative open-science resources for the wider research community.
You will hold a PhD in Neuroscience, Cognitive Science, or a closely related discipline. We are particularly interested in candidates with experience investigating how learning, contextual information, or reward contingencies influence neural representations and behaviour, and who are interested in developing biologically informed accounts of adaptive behaviour and decision making.
You should have experience analysing complex behavioural or neuroscientific datasets and be comfortable working with quantitative and computational methods. Experience with neurophysiological or related approaches to studying neural function would be advantageous, as would experience applying computational approaches to behavioural and neural data.
You will be able to work effectively both independently and as part of a multidisciplinary research team and have a developing publication record commensurate with your career stage. Experience working with international collaborators and willingness to engage in collaborative activities with partner institutions would be beneficial.
What we offer:
- A friendly, diverse, and supportive working environment
- 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
- Commitment to staff development through the provision of training, continued support, and career progression opportunities
- Access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more
Your normal working hours will be 36.25 hours per week. This is a fixed-term contract for 12 months with an anticipated start date of 24 February 2027.
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Job details
- Reference
- SCI2637226
- Category
- Postdoctoral / Research Fellow
- Subject
- Psychology
- Hours
- 36.25 hrs / week
- Contract
- 12 months
- Start date
- 24 Feb 2027
- Posted
- 3 Nov 2026
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