Position: Research Associate 
Category: An initial one-year employment contract will be offered with the possibility for renewal depending on performance and project needs. 
Location: Nicosia, Cyprus 
Preferred Start Date: October 2024 
Application Deadline: Remain open until the positions are filled 
No. Of Positions: 1  
Salary: €28.000- €38.000 
 
About the position   
Research focus of the DeepCamera Research Group is on the next generation of the image/video processing pipeline, of computer vision applications and the use of deep-learning for deploying smarter digital cameras.  
 
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. We are looking for a candidate with expertise in one or more of the aforementioned areas. They will undertake the investigation for the improvement of all the aspects of the modern imaging/video pipeline as well as its applications, investigation of innovative computer vision applications to solve real-world problems.  
 
The successful candidate will work under the supervision of the Team Leader of the DeepCamera MRG Dr. Alessandro Artusi. 
 
 
General qualifications and requirements for the Research Associate position:  

1. PhD 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.
2. Strong computer programming skills (e.g. C/C++, Python, Matlab) 
3. Knowledge of Deep-learning and usage of the existing Deep-learning environments (e.g. Keras, Tensorflow, Pytorch etc.)

1. Excellent written and oral English-language skills will be required
2. Proven high impact research publications on relevant topics
3. Previous relevant industrial / innovation / entrepreneurship experience and interest will be considered an advantage.
4. For non-EU applicants a work permit will be required

Additional qualifications relevant to DeepCamera MRG will be considered an advantage  

• Previous grant-writing experience
• Previous relevant industrial experience in deploying sw products
• Ability to independently identify problems and carry out research work within the scope of the MRG.
• Ability to interact with stakeholders in application domains and identify opportunities for collaboration.

 
 
Profile of the ideal candidate:  

1. Self-motivated with the ability to take initiative and work independently.  
2. Strong organizational, communication, presentation, and negotiation skills, having the ability to deal confidently and politely with enquiries.  
3. Very good analytical skills coupled with attention to detail.  
4. Dynamic, adaptable, hands-on and results driven.
5. A team player with an ability to work independently and under pressure. 
6. High levels of commitment, energy, and drive.
7. Excellent communication and interpersonal skills.

 
 
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. 
 
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 Research Associate-DeepCamera MRG”: 
 
Process for Research Associates:  

1. A cover letter which clearly specifies 1) contact details, 2) employment availability date
2. A detailed curriculum vitae in English.
3. Copies of academic transcripts 
4. Description of their academic and research experiences as well as any relevant industrial / innovation / entrepreneurship experience, where applicable (500 words maximum).
5. Contact details of two University professors or one University professor and one industry referee who will provide the letters.
6. Two (2) representative innovation outcomes / products (if applicable).