Postdoctoral Researcher in Star Formation / Machine Learning

Job Summary

Category
Post-doctoral Positions and Fellowships
Institution
Maynooth University
Department
Physics
Number of Positions Available
1
Duration
2 Years
Could the duration be extended?
No
Work Arrangement
In-Person
In-Person Location(s)

Maynooth
Co. Kildare
Ireland

Job Description

Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking applications for a Postdoctoral Researcher in Astrophysics/Computer Science. The successful applicant will join the star and planet formation research group led by Dr Emma Whelan. For more information on the work of the group please see https://www.maynoothuniversity.ie/physics/our-research. This position is part of the CARINA project which is funded through a Research Ireland Frontiers of the Future grant. CARINA stands for Combining Machine Learning with Forefront Astronomical Instrumentation to Probe Intermediate Mass Star Formation. CARINA is focussed on developing case agnostic, multi-sector machine learning tools to efficiently handle datasets generated by integral field spectroscopy and time domain surveys. The testbed for the machine learning tools is the question of how planets form in the disks of Intermediate Mass Herbig Ae/Be stars. There are currently two PhD students working on this project. One with data from the MAUVE UV satellite launched in November 2025 and currently in its commissioning phase, and one with data from the European Southern Observatory’s Very Large Telescope MUSE instrument. The successful candidate will have the responsibility of developing, in collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be expected to lead the research into innovative ways in which the machine learning tools can be valuable in other sectors. Further information on the principal duties and what we are looking for in a candidate can be found here - www.maynoothuniversity.ie/human-resources/vacancies

Compensation and Benefits

Compensation Type
Salary
Currency
365
Compensation Range
$46,805USD to $47,405USD
Included Benefits

Appointments will be made in accordance with Irish public sector pay provisions. A 37-hour working week is in operation in respect of full-time positions. Annual leave and public holidays are provided for in the University policy: https://www.maynoothuniversity.ie/humanresources/policies/annual-leave-policy. Employees of the University will be subject to the terms of the University policies and schemes, available on the University website at: https://www.maynoothuniversity.ie/university-policies. This is a pensionable post. Employees of the University will enter into a public sector pension scheme, and as such, applicants must ensure they are eligible to become a member of a public sector pension scheme for the duration of the appointment. Details of the public sector pension schemes are available at: https://www.maynoothuniversity.ie/human-resources/pensioninformation. Funding is available for the purchase of a laptop, limited travel and publication costs. 

Compensation Notes

Salary will be point 1 of the Post-Doctoral Researcher scale (2026) €46,805 with an increment to 47,405 in year 2. 

Application Details

Application Instructions
Please note all applications must be made via our Online Recruitment Portal at the
following link:
https://www.maynoothuniversity.ie/human-resources/vacancies
Your application should include a cover letter addressing your interest and
suitability for the role and your CV should include all qualifications and research
experience. Applications should demonstrate coding skills (e.g. python) in
machine learning and / or deep learning, and also a demonstrated commitment
to "Open Science principles" (i.e. that code, publications, datasets are
published).
Applications must be submitted by the closing date and time specified above. Any
applications which are still in progress at the closing time on the specified closing date
will be cancelled automatically by the system.
Late applications will not be accepted.
Publication Start Date
2026 Mar 11
Application Deadline
2026 Mar 31
Reference Code
040323

Inquiries

Name
Emma Whelan

Support

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