Research Engineer in Cognitive Neuroscience and Human Neurophysiology

Organisation/Company Université Grenoble Alpes Department Neuroscience Research Field Neurosciences » Neurophysiology Researcher Profile Other Profession Positions Research Support Positions Application Deadline 15 Oct 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The Brain, Behavior and Neuromodulation team at the Grenoble Institute of Neurosciences (GIN, Inserm U1216, Université Grenoble Alpes) is recruiting a Research Engineer in Cognitive Neuroscience and Human Neurophysiology.

The successful candidate will develop, maintain and document scientific software and reproducible pipelines for the processing, standardisation, visualisation and analysis of human intracranial electrophysiological data, including intracranial EEG (iEEG/SEEG), local field potentials (LFPs) and single-unit recordings.

The position has a strong focus on scientific software development in Python, data engineering and signal processing. A major objective will be to further develop tools initiated within the team, including GIN2BIDS for the conversion and standardisation of intracranial electrophysiological datasets according to the international BIDS standard, and BIDSForge for reproducible processing and analysis workflows. The team’s open-source developments are available at: https://github.com/GIN-iEEG .

The Research Engineer will also contribute to the development of pipelines for microelectrode and single-unit recordings, including integration with tools such as SpikeInterface, and to multi-scale analyses linking single-neuron activity, neuronal population dynamics and macroscopic electrophysiological signals. Depending on the scientific projects, this may include time-frequency analyses, event detection, spike-field coupling/coherence, multivariate analyses, dimensionality reduction and statistical modelling.

An important component of the position will be to ensure the interoperability and reproducibility of the tools developed in Grenoble and their integration with software and infrastructures developed by national and European partners. The work will therefore involve close interactions with researchers and engineers involved in intracranial electrophysiology, including collaborations within EBRAINS.

The Research Engineer will be responsible for software quality and sustainability, including code architecture, version control, testing, dependency management, documentation and the development of interfaces that facilitate the use of these tools by neuroscientists who are not software-development specialists. The successful candidate will also contribute to training and supporting PhD students, postdoctoral researchers, engineers and clinicians in the use of these pipelines.

The position is based at the Grenoble Institute of Neurosciences, in close interaction with the Grenoble Alpes University Hospital (CHUGA). The team studies the neural mechanisms underlying decision‑making and motivation in humans, combining intracranial electrophysiology, single‑unit recordings, brain stimulation and computational approaches in neurological and psychiatric populations.

The position is particularly suited to candidates with a strong background in Python programming, scientific software development, data analysis or signal processing. Previous experience with electrophysiological or neurophysiological data (EEG, MEG, iEEG/SEEG, LFP or single-unit recordings) is highly desirable but not mandatory. A PhD is not required; excellent programming skills and demonstrated experience in scientific software development are considered key selection criteria.

Preferred starting date: 1 November 2026. The initial contract will be for one year, renewable for up to three years in total.

Requirements

Research Field Computer science » Programming Education Level Master Degree or equivalent

Skills/Qualifications

The successful candidate should have strong programming skills, with advanced proficiency in Python and demonstrated experience in scientific software development, data‑processing pipelines or reproducible analysis workflows.

The following skills are particularly relevant:

• scientific programming and software development in Python;
• software architecture, version control (Git/GitHub or equivalent), testing, documentation and dependency management;
• Linux environments and standard scientific computing tools;
• signal processing, time‑series analysis and statistics;
• ability to develop robust, modular and reusable