The current opportunity is available for current Manchester Met students, to apply you must be based in the UK for the duration of the role.
The Department of Computing and Mathematics at Manchester Met is committed to achieving high-quality teaching, research, and enterprise. The department works closely with employers, particularly in the region’s vibrant digital sector, on funded projects. The Human-Centred Computing Group within the Department of Computing and Mathematics is dedicated to cutting-edge AI technology for improving human life quality.
We are looking for a Research Assistant (RA) to join us in the Multimodal Agentic AI system for Automatic Feedback Generation project. The project aims to design and implement a system that leverages AI agents/agentic workflow, multimodal AI, and multimodal large language models (MLLMs) to provide constructive feedback on academic and technical reports that can benefit corporate professionals, organization staff, researchers, students, etc. who need to check if their report fulfills requirements before submission and give improvement suggestions.
As an intern, you will:
* Use an MLLM-based Optical Character Recognition (OCR) tool, such as MinerU, to parse a document into text, images, and tables.
* Program MLLM-based local AI agents, using OpenAI SDK and Ollama, to analyse the text, images, and tables individually
* Program a summary LLM that used retrieval-augmented generation (RAG) to check the final output
* Develop a friendly user interface (Web) for the system that can easily input and output desired formats
Details
Dates: 25 May 2026 - 17 July 2026
Hours per week: 10
Location: John Dalton Building
Students will be expected to develop the following skills and experiences while carrying out this internship
* Experience in being part of a software development team
* Learn cutting-edge multimodal agentic AI, large language models (LLM) and retrieval-augmented generation (RAG)
* Use Git and Github to experience version control in software development
* Valuable experience gained from being part of a multi-disciplinary team involving researchers in multimodal AI
* Improvement of general research and coding skills.
Please Note - As part of the 2026 Student Internship offering, priority will be given to Level 5 & 6 students who have specified in the Careers Registration survey (this is completed during enrolment and cannot be changed at this time) that they have had no work experience in the last 12 months and would like some on campus work or a short work placement. However, applications are welcomed from all students meeting the criteria below.
Students are only eligible to undertake one internship under the 2026 Student Internship offering.