Student Placement - Spectroscopy Data Analysis
Abingdon, England, United Kingdom
Tokamak Energy
Developing the technology to commercialise clean, secure fusion energy and our high temperature superconducting magnet technology.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
ST40 is a high field spherical tokamak built and operated by Tokamak Energy. Spectroscopy is an important plasma diagnostic used on ST40 to measure temperature, rotation, and density of impurities in the plasma. Measurements and interpretation of these values are crucial to maximise temperature for optimum fusion conditions and understanding various physics processes (transport, turbulence, etc…). Spectroscopy is also used to monitor elements (impurities) that are present in the plasma which can tell us information on the interactions between the plasma and the surrounding surfaces.
The “Spectroscopy Data Analysis” role will be to support the team by refactoring and improving the data analysis systems and code for measurements on ST40. Working on data quality assessments of the data – it’s extremely important for data interpretation to determine how trustworthy a given analysis is. Using the ST40 database to gain insights from correlations between measured plasma parameters, monitoring machine conditions and assessing reflectivity of mirrors.
In this role, you will
· Optimize and refactoring the python-based data analysis script for spectroscopy systems of the ST40 tokamak, ensuring best coding practices.
· Contribute to assessment of the data quality of spectroscopy systems, focusing on improving the inputs to ensure accurate capture of data quality metrics.
· Perform analysis of data from one spectroscopy system to derive meaningful insights from measured data, for example analysing degradation of mirror reflectivity from spectral intensity measurements over a series of experiments.
Requirements
· Good knowledge of Python programming language.
· Good collaboration and communication skills.
· Interest in problem-solving, analysis and software development.
· Motivated and enthusiastic with the ability to work independently.
· Studying for a bachelor’s or master’s degree in a relevant field (e.g. Physics, engineering or relevant).
· Beneficial (but not necessary) to have previous experience with git versioning, data storage / interfacing with databases and basic understanding of spectroscopy and spectrometers.
Benefits
- Fusion Industry experience.
- Be part of a dynamic team and collaborate with experts in field.
- 5 days holiday.
- Competitive pay.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data quality Engineering Git Physics Python R R&D
Perks/benefits: Career development Competitive pay
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