Postdoctoral Research Assistant in Machine Learning

Applications to be received by 12pm on Monday 16th of October 2017

Grade 7: £31,076 - £38,183 p.a.

We are seeking a full-time Postdoctoral Research Assistant to join Professor van der Schaar’s research group at the Department of Engineering Science (central Oxford). The post is funded by the Oxford Man Institute and is fixed-term for 24 months.

The focus of this project is to develop novel machine learning techniques for finance. You will be responsible for research, methods, algorithms, publications. You will manage your own academic research and administrative activities. You will also implement, verify and validate algorithms, write and edit analytical reports detailing the findings and collaborate in the preparation of scientific reports and journal articles.

You should possess a relevant PhD/DPhil (or be near completion), together with relevant experience. Experience in machine learning or applied statistics is important as is an established track record of research and publications in machine learning or applied statistics concomitant with experience.

Informal enquiries may be addressed to Professor Mihaela van der Schaar using the email address below.

Further information can be found at:

Only applications received before 12.00 midday on 16 October 2017 can be considered. 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), CV and the details of two referees as part of your online application.

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 1 October 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 here:

Contact: Professor Mihaela van der Schaar