Research Fellow in EEG Methods in Computer Science

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.

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.

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

• 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

• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance

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. Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

A job description and person specification can be accessed at the bottom of this page.

To apply for the vacancy please click on the ‘Apply Now’ button below.

If you have any queries regarding the vacancy or the application process, please contact Prof. I. Yasin. Email: i.yasin@ucl.ac.uk