Research Assistant in Deep Learning Image Interpretation
Research Assistant in Deep Learning image interpretation
Description
Role
The Centre for Interdisciplinary Methodologies at the University of Warwick is looking for a Research Assistant to support researchers investigating the relation between human perception of urban spaces and attributes extracted from street view images (i.e. from Google Street View)
The role holder will implement a deep learning image interpretation model based on existing Python libraries and models. You will also help developing an interface for online human assessment of the images. The role will enable its holder to interact with experienced researchers in the fields of psychology, architecture and urban science, thus contributing to the development of collaboration skills and an interdisciplinary profile.
This role is a six-month 20% FTE position with flexible working hours and location.
Duties and responsibilities
- Develop Python code for image object detection and segmentation based on existing libraries and deep learning image interpretation models
- Help establishing an online survey for the human assessment of street view images
Skills and experience
The role holder should have very good Python coding skills
- A solid conceptual understanding of deep neural networks.
- Data management skills are essential
- Interest in urban science and experience in image processing are desirable.
Location
- A mixture of remote working and campus based work
Additional information
Start Date: 6th September for 6 months
Interview Date: 31st August
Advert Closure: 25th August
Link to apply: Unitemps - Research Assistant in Deep Learning Image Interpretation