Software Development Engineer - EEG/MEG signal processing

Software Development Engineer - EEG/MEG signal processing

Level of qualifications required : Graduate degree or equivalent

Other valued qualifications : PhD, post‑doc

Fonction : Temporary scientific engineer

Level of experience : From 3 to 5 years

Context

The Cronos project team develops mathematical and computer tools to model the brain from non‑invasive neuroimaging data (MRI, EEG, MEG, etc.). The project aims to improve the processing and exploitation of electrophysiological signals.

Assignment

Develop a real‑time processing platform for electrophysiology acquisition signals, implementing proof‑of‑concept real‑time EEG/EMG tools for signal visualization and processing. Specifically, implement and test tools for real‑time detection of epileptical events (epileptic spikes) and methods for quantifying noise.

Main activities

Work 100% of the time on developing the signal processing software platform using agile methods (SCRUM or simplified agile).

Skills

Common software skills

• Python

Additional software skills

• Notions of real‑time development
• CI, Conda

Additional skills

• Skills in software development, including knowledge of design paradigms, design patterns, and tools for compilation, version management, continuous integration, and testing in an agile context.
• Ability to work in a multidisciplinary team.
• Ability to be autonomous and show initiative.
• Ability to speak and write professionally in English.

Benefits package

• Partial reimbursement of public transport costs
• 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave
• Possibility of teleworking after 6 months and flexible working hours
• Professional equipment (videoconferencing, loan of computer equipment)
• Social, cultural and sports events and activities
• Access to vocational training
• Employer's contribution to mutual insurance (subject to conditions)

Remuneration

From 2692 euros gross monthly (according to degree and experience)

• Theme/Domain : Computational Neuroscience and Medicine Software engineering (BAP E)

Diversity Policy

All Inria positions are accessible to people with disabilities.