Marie Skłodowska-Curie Actions

Postdoc candidate for a MSCA IF in computer vision, image processing, deep learning, AI and machine learning

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    15/05/2020 23:30 - Europe/Brussels
    H2020 / Marie Skłodowska-Curie Actions
    Luxembourg, Luxembourg
    SnT Computer Vision Lab (application management through Luxinnovation)
    SnT / University of Luxembourg

The SnT Computer Vision Lab is interested in hosting a postdoctoral fellow within the Marie Skłodowska-Curie Individual Fellowship programme. 


         Please note that this opportunity is not a funded positions (yet); it depend on

         1. The organization selecting you for continuing the process and

         2. A successful proposal written mostly by you (with some input from your host organization           in Luxembourg) and submitted before September 9th 2020.



Project idea: 

  • The Candidate is encouraged to propose ideas fitting the interests of the CVI² research group at SnT, University of Luxembourg


Profile of the applicant

Excellent applications are expected. Candidates are expected to be holders of:

  • A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
  • Competitive research record in computer vision and/or image/signal processing focusing on one or more of the following topics:
    • 3D computer vision
    • Pattern recognition
    • Data fusion
    • Depth video/image super resolution
    • Space imaging and situational awareness
    • Image based quality assurance
  • Strong development skills in Python / C++
  • Strong mathematical background
  • Experience with machine learning algorithms
  • Commitment, team working and a critical mind
  • Fluent written and verbal communication skills in English are mandatory
  • Experience with European projects (FP7/H2020)



  • The University of Luxembourg offers highly competitive salaries and is an equal opportunity employer.
  • You will work in an exciting international environment and will have the opportunity to participate in the development of a growing and ambitious research group in computer vision.
  • The intention is to follow up the fellowship with a Research Associate/Research Scientist work contract.


Institute description: 

The University of Luxembourg (UL) created its first interdisciplinary research centre – the Interdisciplinary Centre for Security, Reliability and Trust (SnT) in early 2009 in order to spearhead one of the University’s priority areas. The creation of SnT and investments into this research field should be seen in the context of the government’s strategy to raise the competitiveness of Luxembourg and diversify the country’s economy, notably towards the ICT (Information and Communication Technologies) sector. SnT targets research and PhD education and provides a platform for interaction and collaboration between university researchers and external partners (industries, government bodies, institutions, and international actors) through its Partnership program. Also, collaborations with European partners play a very important role in SnT development, which is currently being ramped up through a number of new European projects contributing to increase its visibility. To date, SnT participated or actively works in more than 50 European projects funded through various programmers such as: H2020, FP7, CIP, ESA, EDA, etc. By end of 2018, some 290 people (among which 116 PhD candidates) were active at the Centre.


The Centre is organized in 15 research groups headed by faculty members. The Computer Vision, Imaging & Machine Intelligence Research Group (CVI²) at SnT is headed by Dr. Djamila Aouada. The group carries out research on computer vision, image processing, image analysis, visual data understanding, and machine learning. A strong focus is given to developing state-of-the-art and innovative algorithms for various tasks such as data enhancement, data fusion, filtering, registration, estimation, detection, classification, recognition, segmentation, and deformation, with an extensive use and development of deep learning approaches. Data of interest cover different modalities from 2D, RGB-D, infrared, Lidar, to dense 3D. Past and current specific research topics are on human body modelling including shape and pose; optimization and compression of very deep neural networks for image classification; cost-sensitive classification for fraud detection; 3D motion analysis for action recognition and action detection; multi-sensor fusion for robust sensing; face modelling for expression recognition and person identification. These imaging and vision activities are supported by the SnT Computer Vision Lab – a dedicated well-equipped laboratory located in Maison du Nombre (MNO), Campus Belval. In addition, large scale data collection campaigns are regularly organized by the team for the needs of specific projects. All research activities are driven by real-world applications with a focus on one of the following domains: (1) Computer Aided Design (CAD), (2) Healthcare, (3) Satellite and space, (4) Surveillance and security, (5) Services, (6) Education and public outreach.

Group website: https://cvi2.uni.lu/



The University of Luxembourg offers highly competitive salaries and is an equal opportunity employer.

  • You will work in an exciting international environment and will have the opportunity to participate in the development of a growing and ambitious research group in computer vision.
  • The intention is to follow up the fellowship with a Research Associate/Research Scientist work contract.




About Marie Skłodowska-Curie Actions Individual Fellowship:

The MSCA IF are postdoctoral fellowships, financed through the European Commission for 2 year positions, covering salary and research costs of the researchers, who can come from anywhere in the world. The evaluation process of these programmes is more about the project and the career development of the candidate, than his/her publication record. The organizations in Luxembourg that want to host such talented researchers include large public research organizations as well as private companies that offer interesting job perspectives after completion of the fellowship.

Minimal eligibility criteria

  • Individual: applicant applies together with host institute
  • PhD at the deadline or Masters plus 4 years of full time equivalent research experience
  • Not working or living in Luxembourg for longer than 12 months before the call deadline
  • For rules see here or contact your NCP


How to apply

Please submit your CV to Charles Betz, Advisor - European R&D and Innovation Support at Luxinnovation, until May 15th 2020 and refer to which position(s) you are applying for; you can also send several finetuned CVs if you are interested in multiple positions. Make sure you address the text and requirements mentioned by the respective hosts. 

Please note that applications are made through Luxinnovation, your contact point for Horizon 2020 in Luxembourg, before being handed over to the host company.


Luxinnovation, the Luxembourgish Innovation agency and National Contact Point for MSCA, will support both you and your future host institute during your application phase. For all applicants coming to Luxembourg we offer guidance documents, webinars, training in proposal writing and we will review your proposals if you wish so (depending on our availability). In 2019, MSCA IF proposals from Luxembourg had an average success rate of 28.5%, and proposals reviewed by our service 42%.

More information can be found on our website.


  • Computer vision
  • Image processing
  • Deep learning
  • Artificial intelligence
  • Machine learning



The responsibility for the hosting offers published on this website, including the hosting description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.