Postdoctoral Research Assistant in Machine Learning
Mathematics and Statistics,Statistics,Computer Science,Computer Science,Engineering and Technology,Electrical and Electronic Engineering
Short info about job
Company: University of Oxford
Department: Department of Engineering Science
Salary: £31,076 to £38,183 per annum (Grade 7)
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1528 7863433
Fax: +44-1460 6649169
Detail information about job Postdoctoral Research Assistant in Machine Learning. Terms and conditions vacancy
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: www.eng.ox.ac.uk/jobs/home
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.