Research Associate in Software Ecosystems for Automated Feedback
Publicerad 2025-03-21
This role offers a unique opportunity to lead the development of a software ecosystem focused on automated formative feedback, blending education research with software engineering. Building on the success of our prototype, which has already delivered feedback to students over 1 million times, you will drive the evolution of the system into a more scalable and flexible platform. The goal is to enable a broader community of educators, researchers, and developers to create, test, deploy, and assess algorithms that enhance automated feedback in education.
Manage infrastructure (. CI/CD pipelines, AWS Lambda, GPUs for training and inference).Extend functionality (. new utilities in Python, extending to languages such as Wolfram, Lean, Maxima).Build boiler plates, exemplars, documentation, tutorials.Develop AI workflows such as training LLMs on our data sets.Analyse our data sets to define new features and requirements.Host workshops and training sessions for the community.Advocate for good practice and build community guidelines.Evaluate the performance of algorithms for automated feedback.Disseminate the results of our research at conferences and in journals. Experience building, deploying, and managing software systems that are used by a community of developers is essential.Experience in education research or education technology development is desirable.You are independent thinking, self-motivated, organised, and have a team-orientated work ethic.An understanding of diversity and inclusion in higher education is essential. For full details about the duties and requirements of the role, please see the Job Description.
Be part of a great team on an exciting project that is having a growing impact in the education sectorWork with the latest software technologies and in a progressive education institutionFreedom and responsibility to work in a way that suits youBuild your academic career at a world-leading institutionSector-leading salary and remuneration package (including 38 days off per year)