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EURAXESS

Postdoc candidate for a MSCA IF in IOT, Big Data, Data analysis, AI and mixed reality

Luxinnovation
27 Mar 2020

Hosting Information

Offer Deadline
EU Research Framework Programme
H2020 / Marie Skłodowska-Curie Actions
Country
Luxembourg
City
Luxembourg

Organisation/Institute

Organisation / Company
Actimage (application management through Luxinnovation)
Is the Hosting related to staff position within a Research Infrastructure?
No

Contact Information

Organisation / Company Type
Small Medium Enterprise, Start-up
State/Province
Luxembourg
Postal Code
1220
Street
224 rue de Beggen

Description

Actimage 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: 

Project idea to be defined in the areas of

  • IOT,
  • Big Data,
  • Data analysis,
  • AI,
  • mixed reality.

Institute description: 

Actimage is an innovative company and an experienced player in digital transformation. We are proposing professional expertise on data-related fields and development of game-changing products.

As a human-sized company, we mobilize our talents to quickly detect emerging technology, develop and commercialise innovative products, teach specific know-how, and collaborate with a wide array of international partners (SMEs, universities, laboratories). Inside the Innovation division, our experts work on various topics : data analysis, embedded technologies, intelligent training systems, data management optimization, smart personalization, mixed reality tools...

Our aim is to enrich our structure of 180 employees with motivated people who match Actimage’s unalterable values : excellency, creativity and commitment.

 

 

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.

 

  • Deep Transfer learning for multivariate time series data
  • Deep Reinforcement learning
  • Autonomous Blast Furnace
  • Generative deep learning: Autoencoder, Generative Adversial Network
  • Application of deep learning for IoT