Learning Technologist/Data Entry

This position entails working as a research assistant for a study that investigates the processing of non-standard grammatical constructions in speakers of British English using eye-tracking while reading. The project is led by Eloi Puig-Mayenco from the School of Education, Communication, and Society at King?s College London.

The primary responsibilities of the research assistant will involve overseeing participant recruitment and conducting on-site eye-tracking data collection sessions at the Waterloo Bridge Wing building, located on the Waterloo campus. Additionally, the RA will handle initial data trimming and processing. The breakdown of allocated hours for each task is as follows:

15 hours for preparation, training, and meetings.

40 hours for testing: accommodating 40 participants with sessions lasting 1 hours each.

5 hours for data processing.

The research assistant will receive comprehensive training and mentoring to successfully carry out these responsibilities.

Interviews will take place mid-January.

BA/MA in Linguistics, Psychology or related discipline. 

Essential:

Familiarity and ability to use Microsoft packages (e.g., good Excel command).

Undergraduate level knowledge in linguistics, psychology and/or education research or related field.

Desirable:

Interest in eye-tracking methodologies.

Experience with statistical analysis applied to language-related research.

This position entails working as a research assistant for a study that investigates the development of Catalan as a heritage language in the United Kingdom. The project is led by Eloi Puig-Mayenco from the School of Education, Communication, and Society at King?s College London.

The primary responsibilities of the research assistant will involve overseeing participant recruitment and conducting remote participant in two testing sessions in a battery of tasks (assessment of receptive vocabulary, production of specific syntactic structures and elicitation of spontaneous production data). Additionally, the RA will handle initial data trimming and processing. The breakdown of allocated hours for each task is as follows:

1. 30 hours for preparation, training, and finalizing materials.

2. 100 hours for testing: accommodating 40 participants in two sessions lasting 1 hour each hours, alongside organization of the data from testing sessions for 30 minutes. In total, the RA will spend 2.5 hour per participant.

3. 20 hours for initial data trimming.

The research assistant will receive comprehensive training and mentoring to successfully carry out these responsibilities.

Interviews will take place mid-January.

BA/MA in Linguistics, Education, Psychology or related discipline. 

Essential:

Familiarity and ability to use Microsoft packages (e.g., good Excel command)

Undergraduate level knowledge in linguistics, psychology and/or education research or related field

Excellent working proficiency in both Catalan and English

DBS certificate 

Desirable:

Experience working with children

Good organisational skills

Social awareness and good communication skills

Experience in research methodologies

To support research into the views of stakeholders related to the gender balance in their fields. Whilst research has focused on the under-representation of girls in some STEM subjects (e.g., physics and computing) boys are under-represented in school and higher education STEM subjects with a caring aspect (e.g. nursing, medicine, psychology, veterinary studies). To support an application to the Nuffield foundation, the views of stake holders (members of professional bodies, and university admissions officers) will be interviewed to determine their views on the gender imbalances in the field. The research assistant will prepare materials for interviews, conduct interviews, perform analysis of data and contribute to the writing of papers on the data.

A PhD.

Essential:

Knowledge of research into gender inequality in STEM education.

Experience of conducting semi-structured interviews.

Experience of the analysis of interview data.

Experience of writing papers related to gender inequality in STEM education.

Desirable:

Experience of preparing materials for semi-structured interviews.