Research Assistant In European Law New

To support a project on evaluating whether real-time student feedback improves assessment design, making the process more fair, inclusive and transparent. The research involves analysing focus groups notes, student feedback and grade performance surveys. 

The role includes conducting thematic analyses and working with quantitative data. The successful candidate will be supported in developing their qualitative and quantitative research skills through guidance towards self-directed learning resources and ad-hoc training to enhance their expertise. 

The Research Assistant will contribute to generating meaningful insights to inform educational practices, particularly in assessment co-creation and design.

Key responsibilities:

1. Clean, process and manage datasets from multiple sources for analysis.
2. Provide quantitative and qualitative research support.
3. Assist in conducting thematic analyses to identify themes from qualitative data.
4. Perform quantitative analysis of student grade performance.
5. Participate in discussions, communicating and presenting research at meetings.
6. Contribute to writing reports, presentations and academic publications.

We welcome applicants from diverse backgrounds and are committed to creating and inclusive research environment.

A first degree in a relevant subject area (or have equivalent experience) or currently enrolled in their final year of an undergraduate degree in a relevant subject area (or have equivalent experience).

Desirable: Currently enrolled in a PhD programme in a relevant subject area.

1. Knowledge of qualitative and quantitative research methods and techniques.
2. Some understanding of thematic analysis and experience in working with large datasets. 
3. Some relevant experience with qualitative data analysis software (e.g. NVivo) and econometric software (e.g. Stata, R or Python).
4. Ability to work independently and collaboratively remotely.
5. Ability to manage tasks and deliver results under tight deadlines.
6. Strong work ethic, commitment to data accuracy.
7. Ability to work with limited supervision.

Job Role: Student Participants for Project: ?Towards a Radical Pragmatism of Climate Pedagogy: Student Centred Curriculum Design to Address Climate Anxiety?

About the role

We are seeking student participants to take part in focus groups for our research project entitled: "Towards a Radical Pragmatism of Climate Pedagogy: Student Centred Curriculum Design to Address Climate Anxiety".

The project aims to reshape how we teach climate change at university level through co-producing a curriculum with current UG and PGT students in our module "Climate, Environment and Uneven Development" in the Department of International Development.

The climate crisis is everywhere and at times overwhelming, especially for younger generations, including students. In response to this, we would like your participation in focus groups where we discuss how to instil hope in our climate teaching, balancing analysis of the climate crisis with actionable policies and grassroots responses to build hopeful climate futures. From your inputs we aim to co-produce a climate curriculum for future years of our course: "Climate, Environment and Uneven Development". 

The work will involve preparing for and participating in two focus (2 hours each) groups held at the beginning and end of Term 2 in 2025. We aim to recruit 5 students from the PGT cohort. Participation will be paid at ?16 per hour. 

To apply, please submit a CV and a short statement (max 300 words) responding to the question: ?What does "hopeful" climate teaching look like to you in a time of climate crisis?? via King?s Talent Bank. 

Any queries should be directed to a ambarish.karamchedu@kcl.ac.uk and nithya.natarajan@kcl.ac.uk. 

The application deadline is 20th January, with the focus groups taking place during teaching term. 

Student on 7YYDN037 Climate, Environment and Uneven Development

Interest in climate pedagogy and politics

The Policy Institute is looking for a research assistant to work with Professor Duffy at the Policy Institute on a project analysing longitudinal survey datasets to study the evolution of attitudes and values for generations in the UK and worldwide. The project will involve two main tasks, which are expected to last for a total of 10 days, listed below:

Task 1: Longitudinal data cleaning and data visualisation

We want to update a PowerPoint resource pack consisting of c.100 charts using data from sources including Ipsos, Eurostat, the US General Social Survey, the British Social Attitudes, the European Social Survey and more. The research assistant will work with the Policy Institute team updating existing code (currently available in R/Stata) to extend longitudinal series, produce results breakdowns by cohorts/generations and update the charts sourcing using the most recent data points for these studies. 

Task 2: Investigating the divergence between Gen Z men and women 

We would like to produce a new set of c.40 charts, taken from the larger resource pack from Task 1 that split Gen Z men and women over time, on a smaller selection of questions and data sources, where sample size allows. The research assistant will work with the Policy Institute researchers to identify topics and data sources to carry out this task, and then produce a set of visualisations and statistical models to identify any statistically significant differences between Gen Z gender groups. 

FURTHER INFORMATION 

The post is available on a fixed term basis. The research assistant will be able to organise their working hours and patterns with flexibility, but we are aiming to complete work on both tasks by 28th February 2025. 

 

Essential skills: Enrolled in a Bachelor?s degree in a relevant social science discipline (e.g. politics, economics, social sciences, geography, etc.).

Desirable: Enrolled in a postgraduate (eg. MSc/MA/PhD) degree in a relevant social science discipline (e.g. politics, economics, social sciences, geography, etc.).

Essential skills: Knowledge of quantitative research methods. Experience using statistical software including R, Stata and/or SPSS. Experience using PowerPoint. Excellent written and oral communication skills. Punctual, reliable, committed, proactive. Ability to work independently and as part of a team.

Desirable skills: Experience with the analysis of longitudinal survey data. Experience producing charts using Excel and Powerpoint. Interest in public opinion and public attitudes research. Interest in generations research.