Research Fellow in Eeg Methods in Computer Science - London, United Kingdom - University College London

Tom O´Connor

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Tom O´Connor

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Description

Ref Number
B


Professional Expertise
Research and Research Support


Department
UCL BEAMS (B04)


Location
London


Working Pattern
Full time


Salary
£39,508 - £47,355


Contract Type
Fixed-term


Working Type
On site (> 80% of working time)


Available For Secondment
No


Closing Date
19-Jun-2023


About us:


In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England.

UCL Computer Science carries out research, undergraduate, and postgraduate teaching across all areas of theoretical and applied computer science.


About the role:


This is an opportunity to join the Department of Computer Science, UCL to work as a Research Fellow for a project investigating how humans process loudness information.

The role will involve setting up an EEG system for recording of auditory evoked potentials, collecting EEG data and analysing EEG data.

Responsibilities will also involve managing recruitment of participants and working with a team of researchers and academics.

This is a fixed-term role with funding available until 02/07/24 in the first instance.

Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £35,702- 38,514 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis


Please note:
You will be expected to undertake Fire Evacuation Marshall training if appointed at grade 7.


About you:

The applicant should have research experience in human EEG acquisition and analyses (PhD in Psychology/Biophysics/Physics or related degree). Preferably, experience of working in the field of auditory perception.

They should also be able to demonstrate the ability to set up and maintain EEG equipment, and run participant EEG studies as well as analyse EEG data using appropriate software/modelling techniques.


Qualifications, experience and knowledge:
Research experience in human EEG acquisition and analyses (PhD in Psychology/Biophysics/Physics or related degree). Preferably, experience of working in the field of auditory perception.


Skills and Abilities:


Ability to set up and maintain EEG equipment, and run participant EEG studies as well as analyse EEG data using appropriate software/modelling techniques.


Personal Attributes:
Ability to work collaboratively and as part of a team, or alone, in a research community


What we offer:


  • 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
  • Onsite gym
  • Enhanced maternity, paternity and adoption pay
  • Employee assistance programme: Staff Support Service
  • Discounted medical insurance

Our commitment to Equality, Diversity and Inclusion:
A job description and person specification can be accessed at the bottom of this page.

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