A fully funded 4-year PhD studentship is available under the supervision of Dr. David Long in the School of Physical Sciences at Dublin City University to examine spectroscopic observations of the low solar atmosphere using machine learning techniques. The project will exploit the archive of spatially resolved spectroscopic observations of the solar atmosphere provided by the IRIS, Hinode, and more recently Solar Orbiter spacecraft to identify signatures of plasma fractionation. The project is suitable for students with an interest in observational solar astrophysics.

The project will involve significant work with large datasets and computational methods, and experience with analysing observational data and using Python is essential, as is evidence of capacity for original research. Exposure to machine learning or data-driven research approaches is desirable but not essential.

A tax-free stipend of €25,000/year will support the student, and additional funds are available for conference attendance, research trips and computer equipment. Eligible applicants should be Irish or EU residents, and hold a 4 year Bachelors or 3 year Bachelors + Masters degree in Physics, Astrophysics or a closely related field.

The selected candidate will be expected to begin in Dublin in September 2026.

Closing date: 20th February 2026

Informal Enquiries in relation to this role should be directed to:
Asst. Prof. David Long, School of Physical Sciences, Dublin City University.
Email: david.long@dcu.ie

Application procedure:
Please submit your application by email to david.long@dcu.ie with the subject: “SEP Origins PhD Position”.
 In order to be considered for the position, you must attach:
– Curriculum Vitae (maximum 2 pages)
– Cover/Motivation Letter (detailing research interests and suitability; maximum 2 pages)
– Contact information for two academic references

Please note, if all items are not included, the application will be deemed incomplete, and will not be processed.