Rehab Technologies - INAIL-IIT lab

1 Electronic Engineer

Italy

Commitment & contract: 1 year emplyee contract, full time

Location: Rehab Technologies Lab, CCT@Morego - IIT, Via Morego, 30, Genova

Step into a world of endless possibilities, together let’s leave something for the future!

At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds.

We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential.

THE ROLE

You will be working in a multi-disciplinary group, where people with different backgrounds collaborate, each with their own expertise, to support IIT research activity.

Within the Rehab Technologies INAIL IIT (https://rehab.iit.it/it/) research unit, your main responsibilities will be:

  • Design, optimize and test electronic boards for actuation control, sensors, signal conditioning, communication and power management, for cutting-edge medical robotic devices.
  • Generate detailed technical documentation for board production, cabling and testing.
  • Collaborate with other engineering disciplines (mechanical, software and control) to ensure the successful integration of their designs in the system.
  • Explore new possibilities for sensing technologies in bionic limbs exploiting novel Aerosol Jet Printing technologies

ESSENTIAL REQUIREMENTS

  • Degree in Electrical Engineering, Electronic Engineering, Physics or closely related area.
  • Excellent skills in electronic design, simulation, testing and debugging.
  • Good knowledge of state-of-the-art electronic hardware.
  • Practical electronics skills (soldering, cabling, building prototypes)
  • Proactive attitude and results-oriented mindset.
  • Good knowledge of the English language
  • Familiarity with the Microsoft Office Suite

ADDITIONAL SKILLS

  • Proven experience in the field of electronic systems development.
  • Experience with robot electronics will be a big plus.
  • A good working knowledge of PCB development tools such as Altium Designer, Orcad, Eagle, etc.
  • Ability to work in a challenging and international environment
  • Capacity to work autonomously and collaboratively in a highly interdisciplinary environment
  • Possess analytical reasoning skills and a growth mindset

COMPENSATION PACKAGE

  • A yearly gross salary ranging between 21K and 32K which may include a bonus option depending on your role and contract
  • Private health care coverage depending on your role and contract

FONDO ITALIANO PER LE SCIENZE APPLICATE (FISA)
Avviso n. 1075 del 18 luglio 2024 – Avviso pubblico “finalizzato al finanziamento di proposte progettuali con le risorse del FISA – Fondo Italiano per le Scienze Applicate, per l’anno 2024” nell’ambito di intervento “Life-Science Technologies”, codice identificativo FISA-2024-00164, Progetto dal Titolo: “EASy-MOVE - Empowering Amputees: Sensorized Prosthetic Systems for Enhanced Motor Control and Sensory Feedback”. CUP: J53C25001740001

Please submit your application using the online form and including a detailed CV and a cover letter.

Application’s deadline: 27.11.2026

To discover more about life at IIT, visit the dedicated section here: https://www.iit.it/en/work-at-iit

Loading...

Apply now

Fill in the form below and send your application.

By marking the checkbox, you accept our privacy policy
You must accept the treatment of personal data