IoT-NGIN Experts -Expression of interest

IoT-NGIN will enhance the public awareness and increase the IoT-NGIN community by performing 2 open calls and embracing new members in the IoT-NGIN consortium. IoT-NGIN invites independent, external Experts in IoT related software and/or hardware technologies to assist in the review process of the proposals submitted in the first IoT-NGIN open call. 

Deadline to submit expressions of interest:

15th of December, 2021 (17:00 CET)


If you are interested to participate at the IoT-NGIN 1st Open Call Evaluation Process as an external expert, please apply on f6s

Evaluator’s Profile

IoT-NGIN seeks for experts that are leaders or have proven experience in at least one one of the following fields:

  • IoT hardware and/or software technologies
  • IoT architectures
  • 5G technologies
  • Machine Learning
  • Distributed Ledger Technologies
  • Digital Twins
  • Augmented/Mixed Reality

Benefits for Evaluator

Evaluators of IoT-NGIN Open Calls will have the opportunity to be at the forefront of innovation on the IoT domain, offered a number of benefits:

  • Get aware of innovative solutions towards the Next-Generation IoT
  • Contribute to the identification of the best solutions
  • Network with innovative SMEs and other expert evaluators
  • Be reimbursed for the evaluation tasks
  • Be part of the IoT-NGIN ecosystem

For more information on the 1st IoT-NGIN open call, please visit:


Experts will be reimbursed for their time and effort based on the standard EC reimbursement policy (450€ for a complete day).

Important Notice

Please note that this expression of interest to participate to IoT-NGIN Open Call evaluation as an external expert is NOT binding and does NOT constitute any commitment for the IoT-NGIN Project. The selection of the experts to support IoT-NGIN on the evaluation of the Open Call will be taken at a later stage, since it depends on the number of received proposals, their origin, the domain that they target as well as the origin of the potential evaluators, their affiliations, their expertise and the balance between various criteria (e.g. gender, background, affiliation type, age, expertise etc.). Furthermore, we are obliged to frequently change experts helping us with evaluations.