Description

We are looking for research scientists with a deep passion for brain-machine interaction and a great understanding of the most recent machine learning approaches such as deep learning associated with biosignals-related challenges, to join our fast-growing multidisciplinary team. You will have the opportunity to contribute in creating a new generation of Brain Computer Interfaces (BCIs) fusing cutting-edge machine learning, neuroscience and embedded systems, applied across various projects with top level academic and industrial partners.

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


Responsibilities

• You will be responsible for the close-to-signals layers of the CAMLIN ML-based BMI architecture (signal acquisition, synchronization, denoising, low level feature extraction)

• You will contribute to the implementation on embedded platforms, both fog and edge, of cutting-edge ML-based models for signal treatment for BMIs.

• You will develop custom machine learning solutions for the rapid and robust cognitive control of real-world devices in naturalistic scenarios

• You will be involved in the writing of patents and scientific articles


Required Criteria

• Master degree in Electrical Engineering, Computer Science, Physics, Mathematics, or other relevant fields + relevant work experience and/or PhD

• Proven sound experience with coding in modern programming languages (Python, C, C++ are essential) and SW development on embedded systems like Nvidia Jetson TX2, Raspberry PY, PULP processors, microcontrollers

• Solid experience with the treatment and analysis of multimodal biological signals (e.g., EEG, EMG, ECoG, eye gaze) in real time, and synchronization middleware like LSL

• Proven previous experience with Android programming

• Proven experience with Machine Learning frameworks like Tensor Flow, Keras, Scikit-learn and issues related to models downscaling on embedded platforms

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

• Good oral and written English


Desired Criteria

• Feels at home with soldering station, electronic lab equipment, hardware hacking

• Feels the “need” to write high performance production quality code and builds elegant class structures, and feels at home with Git+JIRA+Confluence tools

• Enjoys optimizing algorithms for modern multi-core CPU with GPU embedded devices such Jetson TX2 and parallel multicore processors such as PULP. In other words, feels at home with cloud, fog, edge computing

• Has knowledge and previous experience in ROS (Robot Operating System).

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


Working Hours

8:30 am - 6:00 pm Mon- Fri - Flexibility required