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Research Associate – The Next Generation of Smart Cameras (DeepCamera)MRG

CYENS Centre of Excellence Logo of Science 4 Refugees
19 Oct 2022

Job Information

Organisation/Company
CYENS Centre of Excellence
Research Field
Computer science
Information science
Engineering
Engineering » Computer engineering
Researcher Profile
First Stage Researcher (R1)
Recognised Researcher (R2)
Country
Cyprus
Application Deadline
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
40
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?
Yes

Offer Description

About the position   

The DeepCamera MRG is working on innovative, efficient, and resilient deep-learning based imaging/video and computer vision pipeline/applications tackling the existing drawbacks in all the pipeline stages, e.g., acquisition, encoding/decoding, manipulation/visualization and evaluation.  

The successful candidates will have the opportunity to conduct fundamental and/or applied research in the aforementioned areas. Where applicable, candidates may also participate in the preparation of project reports and deliverables, research proposals for funding, software development, and travel abroad for dissemination activities. Furthermore, successful candidates will be encouraged to publish/present their research results in prestigious international conferences and journals. 

The available positions are within the context of a new project where Deep Learning based-computer vision techniques will be used for the development of a vision system that it will be integrated into existing UAVs system. This will include the development of Deep Learning based techniques for the specific computer vision tasks requested in the project and its deployment into embedded system at edge.  

The successful candidate will work under the supervision of the Team Leader of the DeepCamera MRG Dr. Alessandro Artusi. 

 

Responsibilities of Research Associate:  

  1. Support the development of deep learning techniques  

  1. Optimization of deep learning techniques to work on embedded system 

  1. Testing on real world data 

 

Requirements

Research Field
Computer science
Education Level
Bachelor Degree or equivalent
Skills/Qualifications

General qualifications and requirements 

  1. Postgraduate degree in a relevant field (e.g. Computer Science, Information Technology, Computer Engineering, Colour Science, Image Processing, Computer Vision, Computer Graphics) from an accredited institution. 

  1. Computer literate. 

  1. Language requirements: Excellent written and oral English-language skills will be required.   

 

For non-EU applicants a work permit will be required 

 

 

Specific Requirements

Specific requirements for Research Associate positions – MRG specific:

  1. Strong computer programming skills (C/C++, Python and Nvidia based embedded system)

  1. Knowledge of Deep-learning and usage of the existing Deep-learning environments (Tensorflow, Pytorch etc.)

  1. Previous experience in Deep Learning based classification/object detection and semantic segmentation

Additional Information

Benefits

Benefits 

Take advantage of this opportunity for your professional and personal development by being a part of our fast- growing Research and Innovation Centre of Excellence. A very attractive remuneration package will be offered to the successful candidate according to qualifications and experience. 

Selection process

Application process  

For full consideration, interested applicants should submit the following items via the online application form and mention the position you are applying for: “Application for JOB TITLE”: 

For more information please follow this link

 

 

Additional comments

Incomplete applications will not be accepted.

In case you previously applied for a post at CYENS CoE, a new application is required.

For more information please follow this link

Work Location(s)

Number of offers available
1
Company/Institute
CYENS Centre of Excellence
Country
Cyprus
City
Nicosia
Postal Code
1016
Street
23 Dimarchias Square
Geofield

Contact

City
Nicosia
Website
Street
The Town Hall, Eleftheria Square
Postal Code
1500
E-Mail
hr@cyens.org.cy