Research Associate/Fellow (fixed term)
Health and Medical,Medicine and Dentistry,Anatomy, Physiology and Pathology,Medical Technology,Physical and Environmental Sciences,Physics and Astronomy,Computer Science,Computer Science,Artificial Intelligence,Engineering and Technology,Electrical and Electronic Engineering
Short info about job
Company: University of Nottingham
Department: Computer Science
Salary: £26,052 to £38,183
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1308 2275787
Fax: +44-1355 4480468
E-mail: N\A
Site: N\A
Detail information about job Research Associate/Fellow (fixed term). Terms and conditions vacancy
Location: Jubilee Campus
Salary: £26,052 to £38,183 per annum, depending on skills and experience (minimum £29,799 with relevant PhD). Salary progression beyond this scale is subject to performance
Interview Date: To be confirmed
The School of Computer Science invites applications for a Research Associate/Research Fellow with broad experience in data/image analysis and machine learning.
The successful candidate will work on a BBSRC funded project to develop algorithms and software to extract physical parameters from Optical Coherence Tomography data. The physical parameters include light reflection and absorption properties of tissues for use to differentiate normal and diseased tissues. The successful candidate will also be required to do other related tasks such as disseminating research results in peer-reviewed journals and conferences, writing reports and follow-on grant proposals, etc.
Candidates must have a PhD (or equivalent) in subject areas such as computer science, electrical and electronics engineering, optical engineering, physics or a closely related discipline, with computing elements. The candidate must also have a strong publication record and excellent communication skills.
Candidates must have strong computer programming skills and demonstrable ability and experience of developing software for data/image analysis. Experience with Matlab and C++ is necessary. Knowledge and experience of Optical Coherence Tomography and methods for solving inverse problems is highly desirable. Ideally, they should be able to work both independently and collaboratively.
Enquiries about these posts may be addressed to Dr Li Bai (email: [email protected], Tel: (0115 9513312). Please note that any applications sent directly to these email addresses will not be accepted.
The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.