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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<https://www.hw.ac.uk/index.htm> and Aberdeen Asset Management<http://www.aberdeen-asset.com/>. 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<http://www.thedatalab.com/> 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 ([log in to unmask]<mailto:[log in to unmask]>). Kind regards, George Streftaris -- Dr George Streftaris Actuarial Mathematics and Statistics School of Mathematical and Computer Sciences Colin Maclaurin Building Heriot-Watt University Edinburgh EH14 4AS, UK Tel: +44 131 451 3679, Fax: +44 131 451 3249 http://www.macs.hw.ac.uk/staff-directory/george-streftaris.htm ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. The contents of this e-mail (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.