Research Assistant / Associate in Hybrid Artificial Intelligence enriching academic feedback

The Department of Aeronautics is seeking a highly skilled Researcher in Hybrid Artificial Intelligence enriching academic feedback to join our innovative team. You will play a pivotal role in developing and implementing an AI-powered feedback generation platform that revolutionizes the quality and efficiency of the feedback process for student reports.

This post receives funding from the Imperial College’s Digital Innovation Fund and forms part of a collaboration with the Department of Physics at Imperial College London.

Include, but are not limited to:

• Lead the design, development, testing, and deployment of the new platform, that will be intuitive, straightforward to use, and universally accessible for both staff and students.
• Take software architecture decisions.
• Ensure that the platform will embed a strong and efficient text mining capacity, along with flexibility to accommodate future growth.
• Liaise with College ICT on the procurement of hardware to enable the training and deployment of Large Language Models (LLMs).
• Any other duties as may be deemed reasonable by the PI of the project, the Director of Teaching Strategy or the Head of the Department of Aeronautics.

In addition, at Research Associate level:

• Write reports to research sponsors.
• Contribute to journal publications, conference presentations and bids for research grants.
• Network and collaborate with other scientists.
• Assist in the supervision of undergraduate/postgraduate projects as required.

Those appointed at Research Associate level:

Hold a PhD in either a STEM discipline (e.g., Engineering, Computer science, Mathematics, Physics) or in Education (higher) with a STEM focus, or equivalent research, industrial or commercial experience.

Those appointed at Research Assistant level:

A first / masters degree (or equivalent) in either a STEM discipline (e.g., Engineering, Computer science, Mathematics, Physics) or in Education (higher) with a STEM focus, or equivalent research, industrial or commercial experience.

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.

• Proficiency in computer programming (e.g. Python) suitable for the needs of the project.
• Expertise in cloud architecture and building secure software.
• Experience in training, fine-tuning, and evaluating machine learning models, with emphasis in text mining.
• Experience in teaching STEM-focused undergraduate modules.
• Experience in, or evidence of, project leadership.
• Knowledge of accessibility regulations and VLE communication protocols.
• Creative approach to problem-solving.
• Excellent verbal and written communication skills.

We are seeking candidates with diverse skillsets but encouraging applicants with expertise in one area, open to developing proficiency in others through this role.

Full time, fixed-term contract for 24 months, starting on 1st of August, 2024. Possible extension subject to achieving extra research funding.

Please note that only online applications will be considered.

Should you require any further details on the role please contact: Dr Demetrios Venetsanos – [email protected]

For technical issues when applying online please email [email protected]

For queries regarding the recruitment process please contact Lisa Kelly: [email protected]