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 (Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.).
Kind regards,
George Streftaris
