Post Details
KNOWLEDGE TRANSFER PARTNERSHIPS
Keep Scotland Beautiful and University of Stirling
Full time
Fixed term for 24 months
Salary: £38,000 p.a.
The closing date for applications is midnight on Thursday 24 October 2024.
There is an expectation that work will be undertaken in the UK.
This role may be eligible for sponsorship depending on candidate circumstances. For the purposes of sponsorship, this is a postdoctoral role under SOC code 2119.
The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers and welcome applications from those who would contribute to further diversification of our staff and ensure that equality, diversity and inclusion is woven into the substance of the role. We strongly encourage applications from people from diverse backgrounds including gender, identity, race, age, class, and ethnicity.
The Post
Scotland’s International Environment Centre at the University of Stirling is looking to appoint a highly motivated and ambitious Artificial Intelligence Engineer with expertise in artificial intelligence and computer vision to lead on a new Knowledge Transfer Partnership (KTP) between the University and Keep Scotland Beautiful.
In this exciting role, the successful applicant will lead the development of artificial intelligence models for the detection of litter in images captured by mobile cameras and integrate these methods into an operational and commercialised system for automatic litter survey and reporting.
As the KTP Associate, you will also be responsible for the daily planning and implementation of the KTP project plans, objectives, and milestones. You will take the lead in promoting and disseminating the project outputs, and you will develop relationships and partnerships with key internal and external stakeholders.
The role will be primarily based at Keep Scotland Beautiful in Stirling, but the post holder will work closely with a dynamic, innovative team of scientists and technical specialists at the University of Stirling.
Description of Duties
* Design, develop, and optimize computer vision algorithms for the automated detection of litter in digital images.
* Create, curate and manage data to support the design, development, and optimization of computer vision algorithms.
* Design, test and optimise appropriate methodologies for the capture of images from mobile cameras.
* Design, develop and implement software to automate the process of analysing digital images (backend) and the reporting of results to users (frontend).
* Document technical specifications and adhere to best practices in writing, managing and testing code.
* Lead in promoting and disseminating project outputs, and develop and manage relationships and partnerships with key internal and external stakeholders.
* Write or contribute to journal publications, project reports, presentations and disseminate results and outcomes using other appropriate media as appropriate.
Essential Criteria
* A Ph.D. (or M.Sc. with appropriate experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
* High proficiency in scientific programming in one or more languages (e.g., Python) and an ability to self-learn new technical skills.
* Outstanding expertise in computer vision, with experience in deep learning frameworks like TensorFlow, PyTorch, or OpenCV.
* Experience in the development of web applications and mapping libraries implemented in common frameworks such as React.
* Experience in the operation of mobile cameras and the analysis of digital images using computer vision algorithms.
* Excellent communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
* A passion for learning and keeping up with the latest advancements in the field.
Desirable Criteria
* Experience with cloud computing platforms, preferably Microsoft Azure (Azure Machine Learning, Azure Databricks).
* Knowledge of current Scottish environmental policy around resource management, litter and/or climate change.
* Experience of managing a research project or identified parts of a large project, ideally involving multiple collaborators and stakeholders.
* Experience in research commercialisation and the development of marketable products and services.
* Track record of research publication in high impact scientific journals.
Behaviours and Competencies
The role holder will be required to evidence that they can meet the qualities associated with the following behavioural competencies, as detailed within the AUA Competency Framework.
* Managing self and personal skills
Being aware of your own behaviour and mindful of how it impacts on others, enhancing personal skills to adapt professional practice accordingly.
* Delivering excellent service
Providing the best quality service to external and internal clients. Building genuine and open long-term relationships in order to drive up service standards.
* Finding solutions
Taking a holistic view and working enthusiastically to analyse problems and to develop workable solutions. Identifying opportunities for innovation.
* Embracing change
Being open to and engaging with new ideas and ways of working. Adjusting to unfamiliar situations, shifting demands and changing roles.
* Using resources effectively
Identifying and making the most productive use of resources including people, time, information, networks and budgets.
* Engaging with the wider context
Enhancing your contribution to the organisation through an understanding of the bigger picture and showing commitment to organisational values.
* Developing self and others
Showing commitment to own ongoing professional development. Supporting and encouraging others to develop their professional knowledge, skills and behaviours to enable them to reach their full potential.
* Working together
Working collaboratively with others in order to achieve objectives. Recognising and valuing the different contributions people bring to this process.
* Achieving Results
Consistently meeting agreed objectives and success criteria. Taking personal responsibility for getting things done.
About Us
The Faculty of Natural Sciences encompasses the Divisions of Biological and Environmental Sciences, Computing Science and Mathematics, Psychology and the Institute of Aquaculture. FNS is a distinctive academic arena where new fundamental understandings of the complex and challenging inter-relationships between human behaviours, technologies, biological and environmental systems are created, explored and tested.
Keep Scotland Beautiful is your charity inspiring action for our environment. Our mission is to inspire changes in behaviour to improve our environment, the quality of people’s lives, their wellbeing and the places that they care for. Our vision is for a clean, green, sustainable Scotland.
The University
The University of Stirling is committed to providing education with a purpose and carrying out research which has a positive impact on communities across the globe – addressing real issues, providing solutions, and helping to shape society.
Job Reference: FAC01971
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