You must know Python, machine learning algorithms, database structures, and understand physics principles for this placement at Tokamak Energy.

You will write and test machine learning algorithms, develop workflows, and establish data quality standards for materials property data at Tokamak Energy.

Data

United Kingdom

Oxford

Medium

We are developing the technology to deliver clean, secure and affordable fusion energy in the 2030s. 

Tokamak Energy was founded in 2009 as a spin-off from UK Atomic Energy Authority (UKAEA). Our US subsidiary, Tokamak Energy Inc, was established in 2019. We are the only private fusion company with over a decade’s experience developing the two technologies that offer the most efficient and commercially attractive route to fusion energy; the compact spherical tokamak and high temperature superconducting (HTS) magnets.

Our dedicated HTS magnet business unit, in collaboration with key manufacturing partners, is focussed on becoming the leading supplier of HTS technology for fusion and other exciting new applications, including science, renewable energy and propulsion in water, air and space.


Energy

Tokamak Energy

<ul><li>Tokamak Energy are pleased to be offering a number of Summer placement opportunities to undergraduates who are studying a relevant degree and seeking experience within a commercial Fusion organisation. Our Summer placements offer a fantastic opportunity to work with highly talented individuals and teams, focusing on a focused project or series of small projects and tasks to support our mission and goals.</li><li>This opportunity will not only be a great way to apply some of your learnings from your studies, but also be part of a commercial Fusion working environment combining R&amp;D with Programme delivery and learning to work in a collaborative and innovative workplace. You will have the opportunity to apply your skills and abilities within a variety of areas including communication, teamwork, project management and much more!</li></ul><p><strong>Overview of the role:</strong></p><ul><li>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.</li></ul>

Currently Studying

Tokamak Energy are pleased to be offering a number of Summer placement opportunities to undergraduates who are studying a relevant degree and seeking experience within a commercial Fusion organisation. Our Summer placements offer a fantastic opportunity to work with highly talented individuals and teams, focusing on a focused project or series of small projects and tasks to support our mission and goals.This opportunity will not only be a great way to apply some of your learnings from your studies, but also be part of a commercial Fusion working environment combining R&D with Programme delivery and learning to work in a collaborative and innovative workplace. You will have the opportunity to apply your skills and abilities within a variety of areas including communication, teamwork, project management and much more!Overview of the role: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.

Student Placement - Machine Learning Technician

Requirements

Responsibilities

Tokamak Energy

Mission & Purpose