Research Associate in Machine Learning and Particle Physics

Job Reference : S&E-13758
Location : Sackville Street, Manchester
Closing Date : 29/04/2019
Salary : £32,236 to £39,609 per annum (according to relevant experience)
Employment Type : Fixed Term
Faculty / Organisational Unit : Science & Engineering
Division : Particle Physics
Hours Per week : Full Time
Contract Duration : 18 months from commencement of contract

The Particle Physics group at the University of Manchester has a vacancy for a Postdoctoral Research Associate funded by a grant from the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence. This grant is focused on the development of statistical analysis and machine learning tools for scientific discovery, and their initial proof-of-principle application to data from the ATLAS experiment at the CERN LHC. These studies will be performed in the context of searches for dark matter and high-energy electroweak phenomena, and will encompass sensitivity studies and experimental analysis design for future facilities. The Manchester ATLAS group consists of six academic members of staff, ten research staff and fifteen PhD students. 

The position requires a PhD or equivalent in particle physics, astrophysics, computer science, or a closely related discipline. The successful candidate will have experience with particle physics or astrophysics large-scale data analysis, and experience in the development of machine learning tools for research problems will be considered an asset. The appointment will be from April 2019 (or as soon as possible thereafter), and would extend for 18 months. Successful candidates will be based in Manchester but will be asked to make short trips to CERN and to the Alan Turing Institute in London.

The University will actively foster a culture of inclusion and diversity and will seek to achieve true equality of opportunity for all members of its community. The School of Physics and Astronomy holds an IoP JUNO Champion and Athena SWAN silver award. The appointment will be made on merit.

Candidates should arrange for three letters of reference to be sent directly to Darren.Price@manchester.ac.uk within one week of the closing date for applications

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies

Enquiries about vacancy shortlisting and interviews:
Name: Darren Price
Email: Darren.Price@manchester.ac.uk

General enquiries:
Email: hrservices@manchester.ac.uk
Tel:  0161 275 4499

Technical support:
Email: universityofmanchester@helpmeapply.co.uk
Tel:  0161 850 2004

This vacancy will close for applications at midnight on the closing date
Further Particulars

 

This position is now closed. We are no longer accepting applications for this position.