Postdoc: Predictive Brain Stimulation & Network Dynamics

Maastricht University via AcademicTransfer

Netherlands

In loco

EUR 41.000 - 64.000

Tempo pieno

5 giorni fa

Candidati tra i primi

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Vantaggi offerti da questo lavoro

24-month contract (1.0 fte)

Gross monthly salary 3706–5760 EUR

8% holiday allowance

8.3% year-end bonus

29 vacation days + 4 extra days

Home office allowance & work from home

ABP pension

Descrizione del lavoro

Maastricht University is seeking a Postdoctoral Researcher to predict brain stimulation outcomes using network dynamics. You will develop a computational framework combining latent-state estimation, dynamic causal modelling, and network control theory, testing it on EEG–tACS and SEEG data.

You will publish in top journals, present at conferences, and contribute open-source code. The role spans two research groups and offers a collaborative, multidisciplinary environment in the heart of Europe.

Competenze

PhD in computational neuroscience or biomedical engineering or related field.
Strong programming skills in Python or MATLAB and reproducible code.
Experience with neural time series analyses (EEG/SEEG/MEG).
Familiarity with dynamic causal modelling and network control theory is a plus.
Excellent mathematical skills in linear algebra, dynamical systems and statistics.

Mansioni

Develop and validate a framework predicting brain network responses to stimulation.
Combine latent-state estimation, DCM and network control theory in simulations.
Apply framework to EEG–tACS and SEEG datasets and target selection for RFTC.
Publish in peer-reviewed journals and present at international conferences.
Collaborate with two research groups and supervise MSc students.