Student Ambassadors

• 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

    ?    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

IT Support Assistant
This job will run for the new academic year. You will be expected to perform the following checks on a daily basis as agreed with the local End User Services team. Your main duties will be to log and raise tickets for the following, but there maybe additional tasks availible throughout the year.

• Faults with PCs
• Faults with printers
• Faults with Audio Visual
• Refill paper in printers
• Standard of cleanliness in room

You will liase on a weekly basis with the local End User Services Supervisor.

No qualification required, training will be provided

No qualification required, training will be provided