We are seeking a full-time Postdoctoral Research Assistant in Computational Pathology to join Professor Jens Rittscher’s research group at the Department of Engineering Science, Old Road Campus Research Building, Headington. The post is funded by the Innovative UK Data using Artificial Intelligence to Improve Patient Outcomes with Thoracic Diseases programme and is fixed-term for up to 2 years.
DART aims to generate disruptive integrated diagnostic innovations that: more accurately diagnose lung cancer with enhanced prognostic information to reduce the occurrence of harmful invasive procedures in the diagnostic pathway. You will be responsible for identifying clinical & clinical research needs through collaborations with pathologists and radiologists at OUHFT that can be addressed through quantitative imaging. You will also implement adequate software solutions that address the identified clinical needs and process the corresponding data sets. It is expected that the postholder will make effective use of existing algorithm components and collaborations with scientists at the Institute of Biomedical Engineering to develop new solutions where necessary.
You should possess a relevant PhD/DPhil (or be near completion), together with relevant experience and have sufficient specialist knowledge in the discipline to work within established research programmes. Proven programming experience in Python and/or C/C++ is also essential, as well as excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings. Prior experience in biomedical imaging, computer vision and machine learning would be beneficial to this role.
Informal enquiries may be addressed to Professor Jens Rittscher (email: firstname.lastname@example.org)
Only online applications received before midday on 2 June 2021 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.