AI Research Software Engineer
Role details
Job location
Tech stack
Job description
The successful candidate will work closely with industry and academic partners. The post holder will take a significant role in planning, coordinating and implementing research programmes and, where appropriate, commercial and consultancy activities. They will take lead responsibility for a small research project or identified parts of a large project. This position offers the opportunity to contribute to cutting-edge research and development in AI for creative industries. Key responsibilities include:
Supporting AI4ME R&D activities including the planning and carrying out of specific activities, often in collaboration with colleagues and partners.
Leading and collaborating with the AI4ME team, partner universities and industry across on joint research, development and integration to develop new tools and technologies.
To take a significant role in planning, coordinating and implementing research programmes and, where appropriate, commercial and consultancy activities. To make decisions about research programmes and methodologies, often in collaboration with colleagues, and to resolve the problems of meeting research objectives and deadlines.
To develop new concepts and ideas to extend intellectual understanding. Assess, interpret and evaluate the outcomes of research, and develop ideas for the application of research outcomes.
Pursue and advocate responsible and open research and innovation to ensure ethical, fair and inclusive advances in science, technology and use of data.
Requirements
We are looking for applicants who hold old a PhD in computer science, electronic engineering, or a related subject. A strong background in software development and experience in one or more of the following areas is essential:
- Experience in software development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems.
- Experience in collaboration and technology transfer to partners outside of academia.
- Ability to work independently or in a team, excellent organisation and time management.
- Excellent writing and communication for varying levels of technical/non-technical audience.