Student Computer Programmer Job - England-London | IT / Web / Telecomms

Job Description

Description:

This is a position intended for a current KCL student in computer science, informatics or applied statistics or similar subject areas.

The purpose of the role is to contribute to writing a computing application written in Python that is currently under development. The computer application will provide a graphical interface for applying topic modelling and searching for key terms in student dissertation projects. The end goal is to develop a tool that can provide insights into the content of dissertation projects that students are completing on different degree programmes within the faculty.

This job will involve attending the KCL Denmark Hill campus in-person two days a week initially - there may be some flexibility to work remotely as the project progresses. This is a discrete project with an assigned maximum number of hours available in the budget (a total of 98 hours). There can be some flexibility in when/how these hours are worked. However, hours worked cannot exceed 20 hours in any one week. It is envisaged that the candidate will work two to three days per week on the project for around 7 weeks. The successful candidate will work closely with the Project Manager, Dr Samuel Evans.

The job application process will involve a short interview.

Key responsibilities:

To work under the direction of the project manager (Dr Samuel Evans) to generate a working computer application coded in the Python programming language.

To contribute to project planning and delivery.

To manage administrative duties related to the project.

To liaise with project collaborators.

Qualifications

Studying for a BSc or MSc in computer science, informatics, applied statistics or a related area.

Skills

The skills and experience required are as follows.

ESSENTIAL:

Excellent computing skills in Python.

Good communication skills.

Ability to work independently when required.

Good time management and prioritisation skills.

DESIRED:

Experience/knowledge of applying topic modelling and natural language processing techniques to text data.

Experience of using the Tkinter Python library.

Experience in compiling Python software for cross-platform applications.

Experience in using Github.

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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)

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“Beyond 1932” is an ERC/UKRI research project based at King’s Music Department under the lead of Professor Martin Stokes which explores the sonic legacy of the 1932 Arab Music Congress. The Beyond 1932 team is looking for a student with website design experience (specifically Wordpress experience) to help design and create a dynamic, interactive website for the project. The job will involve initial meeting(s) with the team to discuss our requirements; creating the Wordpress website and populating it with content we provide; progress meetings with the team to discuss changes; creating subsequent draft(s) of the website.

We anticipate the job will be approximately 15-30 hours in total, and will need to be completed in June 2024.

Payment is £18.07 per hour and timesheets will be submitted via King’s Talent Bank. Registration to King’s Talent bank is necessary to apply for this role.

Please note this job is only open to current KCL students and KCL alumni (not external candidates).

If you are interested in applying, please email Sophie Frankford at sophie.frankford@kcl.ac.uk with a paragraph outlining your experience and motivation to get involved, and a link to any examples of your previous website design work. The deadline for applications is 5pm, 25th May 2024.

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Desirable criteria

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- Connect it to an NFC tag

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Qualifications

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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++

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Qualifications

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Skills

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.

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We anticipate the job will be approximately 15-30 hours in total, and will need to be completed in June 2024.

Payment is £18.07 per hour and timesheets will be submitted via King’s Talent Bank. Registration to King’s Talent bank is necessary to apply for this role.

Please note this job is only open to current KCL students and KCL alumni (not external candidates).

Qualifications

N/A

Skills

Essential criteria