Post-doctoral RA in statistical machine learning – HWU and Aberdeen Asset Management

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 (g.streftaris@hw.ac.uk).

Kind regards,

George Streftaris