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Queen Mary Network Developer Designer

£24,277 - £24,277

Job Description

We are currently recruiting for a temporary part-time Developer/Designer to assist with the development of the Queen Mary Network (QMN), an online community platform for current and future students, staff, and alumni. We would be interested in applications from students from the Faculty of Science and Engineering. 

Building on existing development work, the platform can be transformed by the right candidate by enhancing current capability and working with the Alumni Engagement team to take a leading role in making the platform accessible to all stakeholders, driving user habits to increase levels of engagement and to increase registration numbers of alumni, current and prospective students, and staff. 


  • Design, implement, and maintain custom modules based on stakeholders’ requirements 

  • Oversee testing of new features and user experience while performing continuous process improvement and feedback implementation opportunities 

  • Oversee the investigation, reporting, and solution of issues. 

  • Coordinate with supplier regarding bugs, customisations, and questions 

  • Create and update documentation for end users and administrators 

  • Conduct team briefings and project calls 

  • Coordinate and deliver multiple, simultaneous projects 

  • Optimise UX/UI across the platform considering WCAG standards 

  • Ensuring implementations correlate to optimise analytics  

  • Oversee testing of new features and personal changes 

  • Reviewing applications and abuse reports 

  • Pulling reports and analysis of concepts and modules 

  • Adding new chapters, modules and concepts across the platform 

  • Creating and updating how-to videos and help guides for the platform 

  • Perform continuous process improvement and feedback implementation opportunities 

  • Website/ intranet modification and updates, includingT4 training with site innovation and implementations 




  • Experience in HTML/CSS 

  • Some experience with JavaScript 

  • Problem solver 

  • Excellent IT skills, including knowledge of databases and the ability to use MS Office programmes such as Excel, Word, PowerPoint, and Teams  

  • Well organised with good time management  

  • Excellent interpersonal and communication skills with an ability to interact with ease with colleagues, alumni, current and prospective students, senior academics, and management 

  • Good knowledge of compliance legislation, e.g., the Data Protection Act, GDPR and Privacy and Electronic Communication Regulations 

  • Thorough, with a good attention to detail and a good eye for design 

  • Knowledge of current challenges in Higher Education, particularly around the student experience. 

Non-essential skills 

  • Some experience with Bootstrap and Font Awesome 

  • Any experience with website builders 

  • Responsive design 

  • Knowledge of key User Experience (UX) tools and implementation 

  • Use of Adobe XD or any other prototyping tool. 



  •     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.




  • 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

“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 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.






Essential criteria

  • Experience with Wordpress website design

  • Ability to work as part of a team and communicate clearly


Desirable criteria

  • Arabic language proficiency 

  • An interest in music of the Middle East and North Africa 


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.


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


The skills and experience required are as follows.



  • Excellent computing skills in Python.

  • Good communication skills.

  • Ability to work independently when required.

  • Good time management and prioritisation skills.


  • 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.