FIP Summer Placement - Machine Learning Engineer
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Employment type:
Full time
Experience required:
Intermediate
Salary
Salary not provided
About the company:
Tokamak Energy is a private company accelerating the development of fusion power.
Fusion – the energy source that powers the sun – is globally accepted as the best way to generate plentiful, safe, secure and clean energy. The tokamak is the most heavily researched and best understood of all the different paths to fusion.
It is now acknowledged that the spherical tokamak design offers the smallest and most cost-effective solution. This is our solution. Yet there are many complex engineering challenges that need to be overcome for demonstration and commercialisation of this technology.
Our team of world-class fusion scientists and magnet engineers is tackling these challenges to develop efficient and affordable fusion power. Our unique approach is centred on rapid innovation using the latest materials and technology – but building on decades of scientific research and experience. This strategy gives us – and the world – a faster way to fusion.
Once fusion electricity is achieved, our scalable technology could be rolled out across the world as a solution to one of humanity’s greatest challenges: clean and sustainable energy for all.
The FOSTER programme's enhanced internship scheme provides students an opportunity to gain work experience within the growing UK fusion industry. The FOSTER programme is looking to build the talent pipeline into the industry. Over the past three years, 83 students have participated in placements in 20 host organisations around the UK, with many receiving offers of employment after their graduation.
Tokamak Energy are fully committed to building talent within the fusion industry and excited to offer internship opportunities across our business. The placement will give you valuable experience working within a commercial fusion company alongside talented experts within the field, building both your technical and business knowledge.
Placements at Tokamak Energy also give students the opportunity to regularly collaborate not only with our employees, but crucially with other members of your cohort. We recognise the value of creating a supportive learning environment to enable you to explore the subjects and skills that you are passionate about. This is your chance to dive into the world of Fusion Energy and help shape the future of sustainable energy!
With irradiated materials, there is often a sparsity of property data because of the significant expense, time scale, and complexity of irradiation testing and post-irradiation characterization. This role is aimed at developing machine learning tools that can be used to either enhance the collection of data from open literature or improve the analyse of sparse datasets.
In this role, you will:
· Write machine learning algorithms for data scrapping or advanced data analysis.
· Train and test machine learning algorithms with materials property data.
· Develop workflows to interface with the TE materials database.
· Develop standards for the evaluation of data quality.
Requirements
· Required: knowledge of programming language(s) useful to machine learning such as Python.
· Required: knowledge of algorithms for machine learning such as Gaussian processes, gradient boosting, K-means, random forest, etc.
· Required: communicating and relating with others (oral/written)
· Valued: experience with database structures.
· Valued: understanding of thermo-mechanical, electro-magnetic, neutronic, and irradiated material properties.
Benefits
- 6 days holiday (plus bank holidays)
- Cohort experience
- This is a fantastic opportunity to get a closer look at what we do, the work environment, and the exciting roles we have available.
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