24 Feb Marie Curie Trainee Fellow
Marie Curie Trainee Fellow
Research and Research Support · London · Full time
Marie Curie Trainee Fellow
Ref Number: B02-06380
Professional Expertise: Research and Research Support
Department: School of Life & Medical Sciences (B02)
Location: London
Working Pattern: Full time
Salary: See advert text
Contract Type: Fixed-term
Working Type: On site (> 80% of working time)
Available For Secondment: No
Closing Date: 29-Feb-2024
About us
The MetaLab at University College London is a cognitive neuroscience group based at the Department of Experimental Psychology and the Wellcome Centre for Human Neuroimaging (https://metacoglab.org). The lab uses a combination of neuroimaging techniques (fMRI, MEG) in conjunction with theoretical and computational modelling to investigate human metacognition and self-awareness.
About the role
A PhD position is available in Prof. Stephen Fleming’s lab at the Department of Experimental Psychology and Wellcome Centre for Human Neuroimaging, University College London and is funded for 3 years in the first instance. The successful candidate will work on studies of decision-making and metacognition, with a specific focus on how individual differences in confidence formation predict features of information-seeking and offloading behaviour across the lifespan. Research methods include computational modeling, brain imaging (fMRI, MEG), psychophysics, and other techniques. The position will be affiliated with an international network of 9 research labs located throughout Europe. See https://metacoglab.org and https://sites.google.com/view/confidentdecisions/ for more information. The successful candidate will receive interdisciplinary training in theories and methods for the study of decision confidence and metacognition. This includes many network-wide events and other (international) training opportunities. Salary is offered at £38,859 – £47,459 per annum (inclusive of London allowance), dependent on fellow circumstances. For information about the application process, please contact: Pals.hr@ucl.ac.uk
About you
- Candidates should have a Master’s degree (or equivalent) in neuroscience, computer science, psychology, or related fields.
- Previous experience with computational modelling, computer programming, or other quantitative experience, is highly preferred.
- Experience with perceptual psychophysics, fMRI, MEG, and/or data analysis is desired.
- Candidates must comply with the Marie Curie Actions rule for mobility, which holds that they have spent no more than 12 months of the past 3 years in the UK.
- Moving expenses for relocating to the UK will be covered if applicable.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
- 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
- Additional 5 days’ annual leave purchase scheme
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- Immigration loan
- Relocation scheme for certain posts
- On-Site nursery
- On-site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme:
- Staff Support Service
- Discounted medical insurance
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Available documents
Attached documents are available under links. Clicking a document link will initialize its download.
Please click here to apply.
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