Job Description
We are looking for a Research Fellow to improve the NEEDLE machine learning code for classifying astrophysical transients and manage spectroscopic follow up.
The successful applicant will work with the transients research group to improve our machine learning infrastructure for real-time classification of luminous supernovae and tidal disruption events. They will contribute to follow-up observations and supporting students.
About the person:
The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria:
- A PhD in astrophysics, or with thesis submitted by the time of taking up the post.
- Expertise in developing and training machine learning codes for astronomical data.
- Experience with real time transient spectroscopic classification.
- Experience in triggering and analysing follow-up observations with large telescopes.
- Programming experience in Python and standard astronomy software packages.
To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information.
Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.
What we offer:
Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at Pay, Reward and Benefits | People and Culture | Queen’s University Belfast
Queen’s University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.
For further information on our commitment to Equality, Diversity and Inclusion, please visit Diversity and Inclusion | People and Culture | Queen’s University Belfast
If you are an international applicant and don’t already hold a visa that permits you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application – Information for international applicants | People and Culture | Queen’s University Belfast
