Computer Vision Lab Research Assistant

About the Role:

We are seeking a highly motivated Research Assistant to contribute to the development of a medical timeline builder using Large Language Models (LLMs). This project aims to extract and organize temporal information from clinical narratives to construct structured medical timelines that enhance clinical decision-making and patient care. The successful candidate will work at the intersection of natural language processing (NLP), clinical informatics, and AI-driven healthcare applications.

Key Responsibilities:

• Data Processing & Annotation: Preprocess and structure clinical text datasets (e.g., i2b2, MIMIC) for training and evaluation.
• LLM Fine-Tuning & Evaluation: Fine-tune state-of-the-art LLMs for temporal information extraction and reasoning in clinical texts.
• Pipeline Development: Develop and implement a two-stage LLM-based framework for extracting temporal references and constructing medical timelines.
• Model Benchmarking: Design benchmark datasets and evaluate models on clinical temporal reasoning tasks.
• Visualization & Integration: Assist in integrating timeline generation results into interactive visualization toolsfor clinical use.
• Collaboration & Dissemination: Work closely with interdisciplinary teams, including clinicians and AI researchers, and contribute to publications and conference presentations.

Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Biomedical Informatics, or a related field.

• Programming Skills: Proficiency in Python, with experience in NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Machine Learning & LLMs: Understanding of deep learning, LLM fine-tuning, and model evaluation techniques.
• Clinical NLP Experience: Familiarity with medical text processing, clinical terminologies (e.g., SNOMED, UMLS), and temporal reasoning in healthcare.
• Data Handling: Experience working with structured and unstructured clinical datasets (e.g., i2b2, MIMIC-III).
• Research & Communication: Strong analytical skills, ability to conduct literature reviews, and contribute to academic writing.

    ?    assisting in conducting research activities related to computer vision, including literature reviews, data collection, experimentation, and analysis
    ?    assisting in the development and implementation of computer vision algorithms, including image processing, object detection, recognition, segmentation, and tracking
    ?    preparing and annotating datasets for training and evaluation purposes, ensuring data quality and relevance to research objectives
contributing to the solution in a form of software tools and frameworks for computer vision research, using programming languages such as Python or C/C++
    ?    assisting in the analysis of qualitative and quantitative data, as directed.

N/a

    ?    Some prior experience and strong interest in the subject of Computer Vision
    ?    Understanding of deep learning frameworks (e.g., TensorFlow Keras, PyTorch) and some proficiency in training convolutional neural networks (CNNs) for computer vision tasks.
    ?    Familiarity in training deep learning models using preprocessed and augmented datasets, monitoring model performance and convergence during training.
    ?    Practical knowledge in utilizing programming languages relevant to machine learning, deep learning and computer vision (Python 3.4 and above is an absolute must).
    ?    Experience working with video / image data, including data preprocessing, annotation and analysis using popular libraries (e.g. OpenCV)
Knowledge of common evaluation metrics for assessing model performance in computer vision tasks, such as accuracy, precision, recall, and F1 score.
    ?    Knowledge in web frameworks written in Python (e.g. Flask) is desirable but not essential

Location: Holloway Learning Centre and Aldgate Library

Provide first-line IT and Media support and advice contributing to the provision of a comprehensive and efficient ICT and Media support service to University students and staff. This post involves shift work during term time at different University sites.

?            Day-to-day IT and Media support and advice

?            Provide appropriate technical support to Students and Staff

?            Issue and return loan equipment

?            Provide induction and training support

Experience of working in an IT or Media support environment for at least one year or a current student in an IT or Media related degree.

Having at least 2 A levels Grades A-C or an equivalent qualification and combination of education and experience, IELTS Level 7. 

?            A good understanding of customer service

?            An understanding of the role of IT and media in a teaching and learning context.

?            A good knowledge of IT and Media hardware capable of comparing functional differences between different equipment and performing initial hardware fault diagnosis

?            A competent user of IT and Media hardware and software able to explain basic usage to others

?            Knowledge of call management practices and effective record keeping

?            A basic knowledge of IT Service Management best practices i.e ITIL

?            Good interpersonal skills ? ability to interact and work effectively with customers and colleagues

?            Good numeracy and literacy skills ? a clear ability to understand written instructions and produce clear documentation

?            Ability to work under pressure during busy periods and with minimum supervision

?            Initiative and self-motivation in the approach to work and in dealing with problems.

?            Installation and configuration of IT and Media facilities

?            Diagnosis and solution of faults in IT and media related problems