ENGINEERING SCIENCE

Careers

Postdoctoral Research Assistant in Industrial Machine Learning

Salary

Grade 7: £32,817 - £40,322 p.a.

Closing date

Apr 28, 2020 12:00PM

Description

We are seeking a full-time postdoctoral research assistant to join the Visual Analytics research group at the Department of Engineering Science (central Oxford). The post is funded by Innovate UK and is fixed-term to 5 September 2021.


This post is part of the project consortium that also consists of Virtual View App Ltd. (consortium lead), Focalagent Ltd. and E.Surv Ltd. The team will develop a new AI technology to improve an existing industrial workflow that includes a series of operations from capturing images of a property to valuating the property. The postholder will focus on using machine learning to develop AI models for room classification, quality evaluation, and defect detection.


The postholder should possess a relevant PhD/DPhil (or be near completion)*, together with knowledge and experience of machine learning, image processing and computer vision, software engineering, and programming. They should also be able to manage a varied work plan, and be able to work effectively in collaboration with others.


*Note. 'Near completion' means that one must have submitted one's PhD/DPhil thesis. This post has the possibility to underfill at Grade 6 (£29,176 - £34,804 p.a.) if a candidate holds a relevant university degree and is working towards PhD/DPhil together with relevant experience.


Informal enquiries may be addressed to Professor Min Chen using the email address below.


For information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/


You will be required to upload a covering letter/supporting statement (including a description of research interests and experience), CV, and the details of two referees as part of your online application.


Only applications received before 12.00 midday on 28 April 2020 can be considered.


The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.



Contact name

Professor Min Chen

Contact email

min.chen@eng.ox.ac.uk

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