We are looking for outstanding post-doc researchers, with significant expertise in Brain Computer Interfaces (BCI) to join our fast-growing multidisciplinary team. You will be asked to play a leading role, involving also coordination of interdisciplinary teams, as well as coordination and implementation of research and development activities.

You have the opportunity to contribute in creating a new generation of Brain Computer Interfaces fusing cutting-edge machine learning, neuroscience and embedded systems, applied across various projects with top level academic and industrial partners.

Place of work and benefits

• You will join a team of 10+ enthusiastic engineers, scientists and researchers

• A full-time open-ended contract with paid vacation and sick days

• High-end Linux laptop or workstation with root access

• Informal working environment and a team of young motivated professionals with experts in different fields

• Continuous learning by attending to company organized lectures and self-time to experiment

• New top floor office close to the historical centre of the city

• Lodging and relocation contribution to Parma (Italy) (some limitations may apply)

We offer a competitive salary based on the experience and skills


• You will be co-responsible for the design and implementation of a ML-powered BCI framework shared among various projects

• You will be co-responsible for the creation, validation and implementation of ML-based BCI models

• You will be co-responsible for the implementation of the BCI on high-end embedded platforms such as Jetson TX2 from Nvidia

• You will be co-responsible for drafting and influencing the direction of BCI-related research

• You will coordinate a small team of talented multidisciplinary researchers

• You will cooperate with top level neuroscientist within existing collaborative frameworks

• You will collaborate in drafting project proposals, papers, patents and reports

Required Criteria

• Master degree in Computer/Electrical Engineering or Computer Science or Physics or Mathematics or other relevant technical field

• PhD in Neural Engineering, Computational Neuroscience or related fields

• Proven sound experience in developing BCIs, real time analysis of EEG signals with ML techniques, familiarity with signal data acquisition and processing, innovative BCI paradigms

• At least 3 years of academic, industry or open-source backed coding experience in modern programming languages (Python essential; Matlab, C, C++ are a strong plus)

• Solid background in Machine Learning theory; academic or open-source backed coding experience with Machine Learning frameworks like Tensor Flow, Keras, Scikit-learn are a plus

• Knowledge and previous experience in ROS (Robot Operating System) is a plus.

• Team working capabilities and flexibility but also strong autonomy in working by objective

• Good communication skills in English

Desired Criteria

• Wants to build her/his career in EEG-based BCI

• Enjoys writing efficient algorithms, suitable for modern multi-core embedded platforms with GPU such Jetson TX2 or smaller parallel processors like PULP. In other words, feels at home with cloud, desktop, fog (and, ideally, edge) computing

• Is open minded and enjoys approaching complex problems with a multi-disciplinary approach

Business Area


Working Hours

9:00 am - 6:00 pm Mon- Fri - Flexibility required