As part of a strategic expansion in research, AnyVision is now recruiting excellent researchers. We are looking for high calibre individuals to work on the creation and deployment of object recognition algorithms.
Candidates who have a PhD in Deep Learning/Machine learning or target estimation/tracking from a leading university will be considered. A strong publication record and post doctoral experience demonstrating the ability to lead research are desirable.
Excellent communication skills and a willingness to travel are integral requirements for all posts.
The overall compensation package is highly competitive including a very attractive base salary (30-60k per annum depending on experience), relocation assistance, free meals and gym membership, and potential for employee stock options.
Key technical skills we are looking for include some of the following:
About our projects
AnyVision is becoming a world-leader in advanced real-time object recognition from big data. Our algorithms are deployed in many situations ranging from authentication, surveillance, security and social settings. Our technology has repeatedly out-performed the biggest names in the industry and is actively deployed all over the world.
About the team
Founded in 2014, achieving significant commercial success in 2016 and expanding rapidly, AnyVision has offices in Tel Aviv, Belfast, and New York, and sales staff all over the world. You will work alongside leading experts, reporting to Prof. Neil Robertson (CTO, AnyVision). Our vibrant and fast-growing research team is based in the UK.
To discuss these positions, please contact: Professor Neil Robertson, email@example.com
|Title||Researchers in Deep Learning, Object/Face Recognition and Tracking|
|Job location||Belfast, BT3 9AD|
|Published||June 12, 2018|
|Job types||Researcher  |
|Fields||Artificial Intelligence,   Computer and Society,   Computing in Social science, Arts and Humanities,   Data Structures,   Databases,   Human-computer Interaction,   Operating Systems,   Programming Languages,   Software Engineering,    and 2 more. Machine Learning,   Computer Vision  |