Job Details
We are seeking two full-time Postdoctoral Research Assistants in Computer Vision to join the Visual Geometry Group (Central Oxford). The posts are funded by ERC or EPSRC and are fixed-term for 2 years with possible extension.
Reporting to the Principal Investigator(s), the post-holders will help ensure a healthy and vibrant research environment within the Visual Geometry Group (Central Oxford). This will involve conducting projects in computer vision research and/or health care applications of computer vision, including the work involved in the collaborations with project partners.
You should hold a relevant PhD/DPhil (or near completion*) in Computer Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences and should hold sufficient theoretical and practical knowledge of methodologies such as deep and statistical learning.
Only online applications received before midday on the 16th April 2024 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.
Reporting to the Principal Investigator(s), the post-holders will help ensure a healthy and vibrant research environment within the Visual Geometry Group (Central Oxford). This will involve conducting projects in computer vision research and/or health care applications of computer vision, including the work involved in the collaborations with project partners.
You should hold a relevant PhD/DPhil (or near completion*) in Computer Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences and should hold sufficient theoretical and practical knowledge of methodologies such as deep and statistical learning.
Only online applications received before midday on the 16th April 2024 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.
