FB pixel

EU training network to focus on early stage research in mobile biometrics

EU training network to focus on early stage research in mobile biometrics

AMBER (enhAnced Mobile BiomEtRics), a new EU-funded Training Network, has detailed its plans to address current issues related to biometric solutions on mobile devices in new projects.

The network will comprise 10 integrated Marie Skłodowska-Curie Early Stage Researcher (ESR) projects across five EU universities, along with the support of seven industrial partners.

In a statement, AMBER said the network’s aim is to “collate Europe-wide complementary academic and industrial expertise and to train and equip the next generation of researchers to investigate and develop practical solutions as well as theoretical understanding of related issues to ensure secure, ubiquitous and efficient authentication whilst protecting the privacy of citizens.”

Marie Skłodowska-Curie actions (MSCA) is a €6.16 billion EU-funded program from now through 2020 that supports research training and career development focused on innovation skills.

The program’s European Training Networks are a joint research training initiatives implemented by at least three partners from in and outside academia.

The network, which is established in at least three different EU or associated countries, enables researchers to experience different sectors and develop their skills by collaborating on joint research projects.

AMBER is now recruiting to several PhD/ESR positions at University of Kent (UK), Università degli Studi Roma Tre (Italy), Politechnika Warszawska (Poland), Otto-von-Guericke-Universität Magdeburg (Germany), and Universidad Carlos III de Madrid (Spain).

Launched on January 1st, the network will run through December 31, 2020.

Article Topics

 |   |   | 

Latest Biometrics News


Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Most Read This Week

Featured Company

Biometrics Research

Biometrics White Papers

Biometrics Events

Explaining Biometrics