We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join the Oxford-Man Institute of Quantitative Finance and the Department of Engineering Science (Central Oxford). The post is fixed-term for 24 months.
The successful applicant will research next generation methods in machine learning for decision making in complex environments with an emphasis on applications to the automated analysis of financial market data.
In this role, you will have significant freedom to explore and develop new suitable methods in machine learning and decision making inspired by the challenges arising within finance and it is expected that you will collaborate closely with the with the research team of AHL (www.ahl.com) on application to real-world problems.
You should possess a good first degree in information engineering, quantitative finance, physics, computer science, mathematics, control, statistics or similar and have, or are about to complete, a PhD in a relevant area. Experience in machine learning and in the analysis of complex, noisy data is essential, as well as expertise and experience in computer programming. Experience in the application of machine learning to decision making methods is desirable. Prior experience in financial data analysis is desirable but not essential. You should have a track record of published work concomitant with experience and the ability to work well independently and as part of a team.
Informal enquiries may be addressed to Dr Jan-Peter Calliess using the email address below. Further information can be found at: www.eng.ox.ac.uk/jobs/home.
You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position, especially in view of the candidate requirements and desiderata), CV and the details of two referees as part of your online application.
Only applications received before 12.00 midday on 2 October 2017 can be considered.
The department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Please note that the University of Oxford's retirement policy is changing. With effect from October 1 2017, all employees at Grade 8 and above will have a retirement age of 68, and all employees at Grades 6 and 7 will no longer have a set retirement age. Further details are available at: www.ox.ac.uk/about/jobs/preemploymentscreening