Queen Mary Network Developer Designer Job - England-London | IT / Web / Telecomms

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.

Responsibilities:

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

Qualifications

Skills

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.

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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.

Qualifications

N/a

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.

Knowledge in web frameworks written in Python (e.g. Flask) is desirable but not essential

Wordpress Website Designer

“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.

Qualifications

N/A

Skills

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

App Developer

I want support with developing a protortype for an app that can help record people entering and leaving a room. This will be used using the developed app which will be connected to an NFC tag to record who has entered a lab space, similar to the solution provided here.

- Develop the app

- Connect it to an NFC tag

- Develop reporting mechnism

Qualifications

A qualification or reelvant expecrience in IT, primarily app devleopment

Skills

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MORE JOBS LIKE THIS

Computer Vision Research Assistant

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.

Qualifications

N/a

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.

Knowledge in web frameworks written in Python (e.g. Flask) is desirable but not essential

Wordpress Website Designer

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