Job Summary Table

Job Description Summary

The University of Leeds is seeking a Research Fellow in Computational Climate Politics to work on a UKRI FLF project titled “Understanding normative change to address the climate emergency.” This is a unique opportunity to contribute to cutting-edge research in sustainability and computational social science.

Responsibilities

• Work with and support Dr. Viktoria Spaiser’s research grant to ensure the project’s successful completion
• Generate and pursue original research ideas in computational climate politics
• Develop research objectives, proposals, and contribute to setting the project’s direction
• Evaluate methods, techniques, and results obtained by other researchers and relate them to your work
• Communicate and present research results through publications and recognized forms of output
• Prepare papers for leading international journals and write reports independently
• Work independently and as part of a larger research team, engaging in knowledge-transfer activities
• Maintain professional development and mentor less experienced colleagues
• Contribute to the research culture of the School and train undergraduate and postgraduate students

Benefits and Perks

• Opportunity to work on a well-funded UKRI project with generous funding for research and professional development
• Potential for contract extension and long-term career growth
• Supportive research environment at a leading UK university
• Opportunities for professional development, such as attending summer schools or developing skills

Company Overview

The University of Leeds is a renowned research-intensive university in the United Kingdom. The institution fosters an inclusive environment where students and staff from diverse backgrounds can thrive and contribute to cutting-edge research and education.

Company Culture

The University of Leeds promotes a collaborative and supportive work environment, encouraging teamwork and knowledge-sharing among researchers. The institution values diversity, equity, and inclusion, and actively seeks to create an inclusive community where unique perspectives and contributions are welcomed.

Career Growth Opportunities

As a Research Fellow, you will have the opportunity to contribute to a prestigious UKRI project and work alongside experienced researchers in the field of computational climate politics. This role offers potential for contract extension and further career growth within the university or in the broader research and academic community.

Diversity, Equity, Inclusion, and Belonging

The University of Leeds is committed to diversifying its community and promoting an inclusive environment where all individuals can flourish and prosper. The institution particularly encourages applications from underrepresented groups, including Black, Asian, and minority ethnic communities, LGBTQ+ individuals, and disabled individuals.

Equal Opportunity Statement

The University of Leeds is an equal opportunity employer and selects candidates based solely on merit and ability, without discrimination.

Remote Work Policy

The Research Fellow position offers the flexibility of hybrid working, allowing for a combination of on-campus and remote work. The university is open to discussing flexible working arrangements to accommodate individual needs.

Application Process

1. Review the job requirements and ensure you meet the qualifications.
2. Prepare your application materials, including a CV, cover letter, and any required supporting documents.
3. Submit your application online through the University of Leeds job portal.

Application Deadline

While the job posting does not specify an application deadline, it is recommended to apply as soon as possible, as positions may be filled on a rolling basis.

How to Apply

To apply for this position, please visit the University of Leeds Job Posting and follow the instructions provided. If you have any queries, you can contact Dr. Viktoria Spaiser, Associate Professor in Sustainability Research and Computational Social Science, at v.spaiser@leeds.ac.uk.

Social Media Links

• LinkedIn: University of Leeds
• Twitter: [@UniversityLeeds](https://twitter.com/universityofleeds)
• Facebook: University of Leeds

FAQs or Additional Information

Q: Is this position suitable for recent PhD graduates?

A: Yes, this position is suitable for individuals who have recently completed or are near completion of their PhD in computational social science, data science, applied mathematics, or a closely allied discipline.

Q: What is the anticipated start date for this role?

A: The anticipated start date for this position is October 1, 2024.

Q: Is there potential for contract extension beyond the initial 1+1 year term?

A: Yes, there is a high likelihood of an extension of the award after the first phase of the project. The job posting indicates that a further extension of the fellowship can be considered after the second year.

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