About the role
The role involves undertaking high quality research as part of an exciting new internationally funded research project investigating the neural and computational basis of anergia and effort hypersensitivity in depression. You will be responsible for: overseeing behavioural, ambulatory smartphone-based and neuroimaging assessments with clinical participants with current depression; conducting computational modelling and multi-level modelling analyses; working closely with the head of the lab and the other team members, and inputting on supervision and line management of current and future research assistants, PhD students and masters students.
The role offers an opportunity to conduct impactful, collaborative and rigorous research that can make a real difference to the lives of people with depression. The post holder will receive support and supervision from the study team, and input from other academics collaborating on this work. This is an excellent position for an early-career researcher as it provides: opportunities for publication; the chance to develop knowledge and skills in neuroimaging analysis; and experience of working with digital mental health and smartphone-based assessment tools. There will also be opportunities in the wider community of researchers at UCL to develop new networks.
1. The starting salary for this role is fixed at Grade 7, Spine Point 31 (£44,, inclusive of London Allowance).
2. This role is an open-ended contract with a funding duration of 12 months in the first instance, with the possibility of being extended up to an additional 3 years.
3. An acceptable Enhanced DBS check is required to carry out parts of this role.
4. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary £38, - £41, per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis.
5. This role is eligible for hybrid working with a minimum of 80% on site.
6. This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.
This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit for more information.
About you
We are looking for someone with excellent quantitative research skills, particularly in computational modelling, in the intersection of affective and reward processes. with recruiting clinical participants into longitudinal studies and in using functional MRI and scripting-based languages ( Matlab, R, Python). You will need to hold a PhD in Neuroscience, Economics, Psychology, Decision Sciences or related discipline, ideally researching reward processes. The role involves co-ordinating a large study and liaising and assessing clinical participants, so the ideal candidate would have communication and organisational skills.
Further Details
The advert will close on 04 August at 23:59 GMT. Interview dates are scheduled for August. A Job Description and Person Specification can be accessed at the bottom of the page. If you have any queries about the role, please contact Liam Mason at. If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact PALS HR at .
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What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
7. 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
8. Additional 5 days’ annual leave purchase scheme
9. Defined benefit career average revalued earnings pension scheme (CARE)
10. Cycle to work scheme and season ticket loan
11. Immigration loan
12. Relocation scheme for certain posts
13. On-Site nursery
14. On-site gym
15. Enhanced maternity, paternity and adoption pay
16. Employee assistance programme: Staff Support Service
17. Discounted medical insurance