Undergraduate Intern - Dataset Machine Learning for Digitisation of Collections
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Position Overview & Specifications
Undergraduate Intern - Dataset Machine Learning for Digitisation of Collections
We propose a project scoped towards creating Kew's first image dataset for developing and benchmarking Artificial Intelligence (AI) applications. Natural history collections, like Kew's herbarium collection, contain a wealth of primary data vital to solving the current biodiversity crisis. AI methods, like deep learning, can help researchers use this data to conduct large-scale studies and generate novel insights, for example, by counting flower buds to model the impact of climate change or mining potentially undescribed species.
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More details
Training and experience offered during this internship:
- Kew Mandatory training courses
- Experience on self-directed data project scoping and delivery
- Use of Kew HPC, software tools and working alongside software developers working on Applications and Digital Backbone cloud based systems
- Integrated part of a small ML/IA team researching tools and techniques for next generation of Biodiversity researchers
Education and experience required (specific to this project):
Project experience in data manipulation from STEM based undergraduate degree course, including data set architecture skills.
Suitable undergraduate subjects could include Biological Sciences, Environmental Science, Computer Science or Maths (or equivalent)
The Royal Botanic Gardens, Kew (RBG Kew) is a leading plant science institute, UNESCO World Heritage Site, and major visitor attraction. Our mission is to understand and protect plants and fungi for the well-being of people and the future of all life on Earth.
We are working to end the unprecedented extinction crisis and to help create a world where nature is protected, valued by all and managed sustainably. We will achieve these goals by drawing on our leading scientific research, unrivalled collections of plants and fungi, global network of partners, inspirational gardens at Kew and Wakehurst, and our 260 years of history.
Join us on our journey as protectors of the world’s plants and fungi.
The salary will be £19,582 per annum (+ £725 book allowance).
Our fantastic benefits package includes opportunities for continuous learning, a generous annual leave entitlement, flexible working to help you maintain a healthy work-life balance, an Employee Assistance Programme and other wellbeing support such as cycle to work scheme and discounted gym membership. We also offer a competitive pension, an employee discount scheme and free entry into a wide range of national museums and galleries, as well as access to our own beautiful gardens at Kew and Wakehurst.
If you are interested in this position, please submit your application through the online portal, by clicking “Apply for this job”.
We are committed to equality of opportunity and welcome applications from all sections of the community. We guarantee to interview all disabled applicants who meet the essential criteria for the post.
No agencies please.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
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Undergraduate Intern - Dataset Machine Learning for Digitisation of Collections • Kew Gardens
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