Post-doctoral researcher in statistical machine learning for financial multi-asset strategies
Applications are invited for a post-doctoral research associate for a period of 12 months to work on a project jointly supervised by Heriot-Watt University and Aberdeen Asset Management. The project will involve bringing together statistical methodology, machine learning and efficient computing for robust predictive performance assessment and evaluation of multi-asset strategies in finance under increased volumes of data and information. The research is mainly funded by The Data Lab and the post-holder will work closely with a team of academic researchers and industry quantitative specialists.
Salary: £31,076 - £38,183 (Grade 7 HWU)
Closing date for applications: 21 November 2016
Qualifications and experience: Applicants should have a PhD degree in Statistics, Machine Learning or related discipline as a minimum qualification.
Further details about the project can be found at http://www.macs.hw.ac.uk/~georges/
For information about how to apply please visit https://www.hw.ac.uk/about/careers/jobs/job_SVJDNjc4OA.htm
For an informal discussion about the project you can contact the principal investigator, Dr George Streftaris (This email address is being protected from spambots. You need JavaScript enabled to view it.).
Kind regards,
George Streftaris
