- JOB
- France
Job Information
- Organisation/Company
- inserm
- Department
- U1028
- Research Field
- Psychological sciences » Cognitive science
- Researcher Profile
- First Stage Researcher (R1)
- Positions
- Research Support Positions
- Country
- France
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- Horizon Europe - ERC
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Description
We are recruiting a research assistant to for the project “The neural and cognitive mechanisms of adaptive and maladaptive emotion-behaviour interactions in naturalistic tasks” (EMOBB), funded by a 5-year ERC Starting Grant (PI: Jacqueline Scholl, Chargée de recherche at Inserm). The post will be held at the Lyon Neuroscience Research Centre (CRNL), employed through the Institut National de la Santé et de la recherche médicale (Inserm). For more information on our lab’s broader research framework, please visit sites.google.com/view/jacqueline-scholl.
Summary of EMOBB:
Deciding what to do when for how long – self-organizing one’s behaviour – is an important feature of daily life. Emotions arise providing short-cuts, for example you immediately feel fear and start to flee when you see a dangerous animal that could chase you, you do not have to carefully consider all possible behaviours. The ERC project EMOBB will establish the computational, cognitive and neural underpinnings of the rich interplay between emotions and self-organized behaviour. For this EMOBB will combine novel naturalistic tasks with measures of emotions, using computational modelling. EMOBB will relate the computational measures to individual differences in real-life behaviours and emotional traits (e.g. anxiety, depression). EMOBB will test the causal role of brain networks by combining functional magnetic resonance brain imaging (fMRI) and non-invasive ultrasound brain stimulation (TUS). In the future, the project will have an impact on psychiatry research, identifying targets for treatment studies and tools for studies predicting treatment outcomes.
Job description
We are looking for a research assistant who has a passion for developing novel experimental designs (cognitive tasks) for measuring cognitions, emotions, individual differences (e.g. psychiatric/psychological traits), brain activity and advanced data analysis (developing computational models). The researcher will join a team and larger collaboration network at the interface between computational cognitive neuroscience and psychiatry. The research assistants career development will be supported in several ways: this project will aim to publish several high impact papers and include presentations of the work at international conferences, the research assistant will receive training in methods and conceptual frameworks through many clubs and working groups at the CRNL. The main duties of the research assistant will include:
- Assisting with Experimental design and conception (including coding of experimental tasks)
- Assisting with Data acquisition (behavioural testing online, FMRI, TUS)
- Assisting with Advanced data analysis (computational modelling)
- Presentation of work at scientific meetings
- Support of day-to-day activities in the lab
Duration: 11 months fixed term in the first instance.
Remuneration according to the current grid.
To apply, please send your CV and cover letter to Jacqueline.scholl@inserm.fr. Please include “ERC-Application-ResearchAssistant” in the subject line.
Starting date: 1st of October 2025 (please get in touch as soon as possible to allow administrative delays)
Where to apply
- jacquelin.scholl@inserm.fr
Requirements
- Research Field
- Neurosciences
- Education Level
- Master Degree or equivalent
Essential skill:
- Strong coding skills in a commonly used coding language, e.g. R, Python or Matlab
- Good verbal and written English skills
One or more of the following skills would be a plus:
- Data analysis experience using computational modelling of either behavioural or neural or physiological data (e.g. reinforcement learning models, decision making models, regressions, hidden-markov models, marginal value theorem models)
- Experience designing, developing and refining computerized experimental tasks
- Human data collection in person (behavioural testing, FMRI or M/EEG) or online (e.g. Prolific platform)
- Languages
- FRENCH
- Level
- Good
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Lyon Neuroscience Research Centre
- Country
- France
- Geofield
Contact
- City
- Lyon
- Website
- Street
- 95 Bd Pinel