PhD in Affective Neuroscience & Computational Modelling

Radboud University Nijmegen via AcademicTransfer; Nederland; On-site; EUR 36,000 - 45,000; Part time

Benefits offered by this job

Holiday allowance 8%

End-of-year bonus 8.3%

Extra leave days: 30 or 41 days

Job summary

Radboud University Nijmegen invites applications for a PhD position focusing on affective neuroscience and computational modelling within the HEART2ADAPT project. You will work on approach-avoidance decisions under threat, using real-time tracking of brain and bodily signals and transcranial ultrasound stimulation (TUS) to test causal mechanisms.

The role includes protocol development, data collection, and neural data modelling, with mentoring of BSc/MSc students and collaboration with the

Qualifications

• Pursuing a PhD in neuroscience or a closely related field.
• Experience with computational modelling and data analysis.
• Interest in affective neuroscience and neuroimaging methods.

Responsibilities

• Contribute to protocol development for the HEART2ADAPT project.
• Assist with data collection and computational modelling of behavioural and neural data.
• Apply TUS to model brain regions and test causal mechanisms (offline and MR-compatible online TUS).
• Mentor BSc/MSc students and collaborate with Donders Institute and BIS.

Skills

Affective neuroscience

Computational modelling

Transcranial ultrasound stimulation

Education

PhD in neuroscience

Job description

Radboud University Nijmegen invites applications for a PhD position focusing on affective neuroscience and computational modelling within the HEART2ADAPT project. You will work on approach-avoidance decisions under threat, using real-time tracking of brain and bodily signals and transcranial ultrasound stimulation (TUS) to test causal mechanisms.

The role includes protocol development, data collection, and neural data modelling, with mentoring of BSc/MSc students and collaboration with the