[visionlist] [job] Image Processing/Computer Vision positions available at DeepCamera CYENS CoE
Alessandro Artusi
a.artusi at cyens.org.cy
Tue Feb 15 07:52:11 -04 2022
Dear All,
At DeepCamera group, as part of the center of excellence, CYENS, we have several positions available. Here are the details of these positions and how to apply:
CYENS (formerly known as RISE) is a research centre of excellence in Nicosia, Cyprus. CYENS CoE is a significant investment supported by the European Commission, the Republic of Cyprus and its founding Partners, the Municipality of Nicosia, Max Planck Institute, University College London, the University of Cyprus, the Cyprus University of Technology and the Open University of Cyprus. This project has received funding from the European Union’s Horizon 2020 research and innovation programme H2020-WIDESPREAD-01-2016-2017 (Teaming Phase 2) under grant agreement No. 739578, as well as from the Cypriot Government, local and international partners, and other sponsors.
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. These include, but are not limited to, topics such as image/video enhancement, environmental and adversarial noise removal, super resolution, spatial/temporal upsampling; all aspects of image/video encoding/decoding standards, visual perception (including color), color correction and management, image/video translation, high dynamic range (HDR) imaging/video; computer vision applications, objective and subjective image/video quality evaluation, as well as supporting tools for imaging and computer vision developers (see our DgiStreamer, the innovative imaging/computer vision pipelines constructor at www.dgistreamer.com<http://www.dgistreamer.com/>). The outcome of the research will tackle applications such as smart cities, mobile phone, smart devices, head mounted and traditional display technologies, high quality video streaming, technology evaluation, automotive, security, entertainment, agriculture and industry 4.0, first responder etc.
We have 3 positions open (specify your preferred position in your cover letter):
1. One experienced Postdoc: we are looking for an experienced Postdoc in one or more of the aforementioned areas, with at least 2-3 years of Postdoc experience.
2. Two experienced Computer Vision specialists: with experience in developing deep-learning approaches for computer vision applications such as object detection, segmentation, classification etc. With at least 2-3 years of experience in developing innovative deep-learning approaches (deep-learning environment Pytorch and Tensorflow). Experience in deploying deep-learning approaches on embedded systems is a plus.
For all the open positions, previous experience in writing grant research proposals for funding, management activities, previous industrial experiences in development of products, ability to independently identify problems and carry out research work within the scope of the MRG, expertise in interacting with stakeholders in application domains and identifying opportunities for collaboration will also be considered.
The successful candidate will work under the supervision of the Team Leader of the DeepCamera MRG Dr. Alessandro Artusi.
General qualifications & essential requirements
1. PhD degree (for the Postdoc position) and MSc. (for the Computer Vision positions) 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. Tensorflow, Pytorch etc.)
4. Excellent knowledge of both spoken and written English language
5. Proven high impact research publications on relevant topics
6. Previous relevant industrial / innovation / entrepreneurship experience and interest will be considered an advantage.
7. For non-EU applicants a work permit will be required
Benefits
Take advantage of this opportunity for your professional and personal development by being a part of our fast-growing Research Technology Development 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 following https://www.cyens.org.cy/en-gb/vacancies/apply/ and select in the “position to Apply for” either “Postdoc for DeepCamera” for the Postdoc position or “Research Associate in AI for DeepCamera” for the computer Vision specialist positions. Also, an email needs to be sent to a.artusi at cyens.org.cy<mailto:a.artusi at cyens.org.cy> using the email subject line: “Application: Positions: DeepCamera”:
1. A cover letter which clearly specifies i) contact details, ii) employment availability date, iii) rationale on why you think you would be a good fit for the position within the DeepCamera MRG
2. Description of academic and research experience as well as any relevant industrial experience where applicable (500 words maximum)
3. A detailed curriculum vitae in English.
4. Copies of transcripts of PhD/MSc degree.
5. Contact details of two referees, either two University professors or one University professor and one industry referee.
In case you previously applied for a post at CYENS, a new application is required.
For general enquiries, applicants may contact the HR Department of the CYENS CoE at vacancies at cyens.org.cy<mailto:vacancies at cyens.org.cy> .
CYENS Centre of Excellence is an equal opportunity employer and the position is open to everyone, internationally.
All applications are treated in the strictest confidence.
Best Regards
Dr. Alessandro Artusi
DeepCamera group Leader
[signature_953721153]<http://www.cyens.org.cy/>
T. +357 22747575
www.cyens.org.cy<http://www.cyens.org.cy>
[Facebook icon]<https://www.facebook.com/CYENSCoE> [LinkedIn icon] <https://www.linkedin.com/company/rise-ltd-cyprus/> [Twitter icon] <https://twitter.com/CYENSCoE> [Instagram icon] <https://www.instagram.com/CYENSCoE/>
The content of this email is confidential and intended for the recipient specified in message only. It is strictly forbidden to share any part of this message with any third party,without a written consent of the sender. If you received this message by mistake, please reply to this message and follow with its deletion, so that we can ensure such a mistake does not occur in the future.
From: DeepCamera <a.artusi at cyens.org.cy>
Date: Tuesday, 15 February 2022 at 1:50 PM
To: "cvnet at mail.ewind.com" <cvnet at mail.ewind.com>
Subject: [job] Image Processing/Computer Vision positions available at DeepCamera CYENS CoE
Dear All,
At DeepCamera group, as part of the center of excellence, CYENS, we have several positions available. Here are the details of these positions and how to apply:
CYENS (formerly known as RISE) is a research centre of excellence in Nicosia, Cyprus. CYENS CoE is a significant investment supported by the European Commission, the Republic of Cyprus and its founding Partners, the Municipality of Nicosia, Max Planck Institute, University College London, the University of Cyprus, the Cyprus University of Technology and the Open University of Cyprus. This project has received funding from the European Union’s Horizon 2020 research and innovation programme H2020-WIDESPREAD-01-2016-2017 (Teaming Phase 2) under grant agreement No. 739578, as well as from the Cypriot Government, local and international partners, and other sponsors.
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. These include, but are not limited to, topics such as image/video enhancement, environmental and adversarial noise removal, super resolution, spatial/temporal upsampling; all aspects of image/video encoding/decoding standards, visual perception (including color), color correction and management, image/video translation, high dynamic range (HDR) imaging/video; computer vision applications, objective and subjective image/video quality evaluation, as well as supporting tools for imaging and computer vision developers (see our DgiStreamer, the innovative imaging/computer vision pipelines constructor at www.dgistreamer.com<http://www.dgistreamer.com/>). The outcome of the research will tackle applications such as smart cities, mobile phone, smart devices, head mounted and traditional display technologies, high quality video streaming, technology evaluation, automotive, security, entertainment, agriculture and industry 4.0, first responder etc.
We have 3 positions open (specify your preferred position in your cover letter):
1. One experienced Postdoc: we are looking for an experienced Postdoc in one or more of the aforementioned areas, with at least 2-3 years of Postdoc experience.
2. Two experienced Computer Vision specialists: with experience in developing deep-learning approaches for computer vision applications such as object detection, segmentation, classification etc. With at least 2-3 years of experience in developing innovative deep-learning approaches (deep-learning environment Pytorch and Tensorflow). Experience in deploying deep-learning approaches on embedded systems is a plus.
For all the open positions, previous experience in writing grant research proposals for funding, management activities, previous industrial experiences in development of products, ability to independently identify problems and carry out research work within the scope of the MRG, expertise in interacting with stakeholders in application domains and identifying opportunities for collaboration will also be considered.
The successful candidate will work under the supervision of the Team Leader of the DeepCamera MRG Dr. Alessandro Artusi.
General qualifications & essential requirements
1. PhD degree (for the Postdoc position) and MSc. (for the Computer Vision positions) 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. Tensorflow, Pytorch etc.)
4. Excellent knowledge of both spoken and written English language
5. Proven high impact research publications on relevant topics
6. Previous relevant industrial / innovation / entrepreneurship experience and interest will be considered an advantage.
7. For non-EU applicants a work permit will be required
Benefits
Take advantage of this opportunity for your professional and personal development by being a part of our fast-growing Research Technology Development 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 following https://www.cyens.org.cy/en-gb/vacancies/apply/ and select in the “position to Apply for” either “Postdoc for DeepCamera” for the Postdoc position or “Research Associate in AI for DeepCamera” for the computer Vision specialist positions. Also, an email needs to be sent to a.artusi at cyens.org.cy<mailto:a.artusi at cyens.org.cy> using the email subject line: “Application: Positions: DeepCamera”:
1. A cover letter which clearly specifies i) contact details, ii) employment availability date, iii) rationale on why you think you would be a good fit for the position within the DeepCamera MRG
2. Description of academic and research experience as well as any relevant industrial experience where applicable (500 words maximum)
3. A detailed curriculum vitae in English.
4. Copies of transcripts of PhD/MSc degree.
5. Contact details of two referees, either two University professors or one University professor and one industry referee.
In case you previously applied for a post at CYENS, a new application is required.
For general enquiries, applicants may contact the HR Department of the CYENS CoE at vacancies at cyens.org.cy<mailto:vacancies at cyens.org.cy> .
CYENS Centre of Excellence is an equal opportunity employer and the position is open to everyone, internationally.
All applications are treated in the strictest confidence.
Best Regards
Dr. Alessandro Artusi
DeepCamera group Leader
[signature_1768150095]<http://www.cyens.org.cy/>
T. +357 22747575
www.cyens.org.cy<http://www.cyens.org.cy>
[Facebook icon]<https://www.facebook.com/CYENSCoE> [LinkedIn icon] <https://www.linkedin.com/company/rise-ltd-cyprus/> [Twitter icon] <https://twitter.com/CYENSCoE> [Instagram icon] <https://www.instagram.com/CYENSCoE/>
The content of this email is confidential and intended for the recipient specified in message only. It is strictly forbidden to share any part of this message with any third party,without a written consent of the sender. If you received this message by mistake, please reply to this message and follow with its deletion, so that we can ensure such a mistake does not occur in the future.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.jpg
Type: image/jpeg
Size: 23060 bytes
Desc: image001.jpg
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0002.jpg>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image002.png
Type: image/png
Size: 387 bytes
Desc: image002.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0008.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image003.png
Type: image/png
Size: 304 bytes
Desc: image003.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0009.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image004.png
Type: image/png
Size: 383 bytes
Desc: image004.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0010.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image005.png
Type: image/png
Size: 446 bytes
Desc: image005.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0011.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image006.jpg
Type: image/jpeg
Size: 23059 bytes
Desc: image006.jpg
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0003.jpg>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image007.png
Type: image/png
Size: 386 bytes
Desc: image007.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0012.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image008.png
Type: image/png
Size: 303 bytes
Desc: image008.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0013.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image009.png
Type: image/png
Size: 382 bytes
Desc: image009.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0014.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image010.png
Type: image/png
Size: 445 bytes
Desc: image010.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220215/25d0db67/attachment-0015.png>
More information about the visionlist
mailing list