PhD: EEG & Neurobiological Markers for Precision Medicine

University of Groningen

Netherlands

On-site

EUR 30,000 - 36,000

Full time

6 days ago
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Benefits offered by this job

232 vacation hours/year
8.3% end-of-year bonus
8% holiday allowance
Professional development opportunities

Job summary

University of Groningen invites applications for a PhD candidate in Neuroscience focusing on EEG, neurobiology, and precision medicine. The project integrates systematic reviews with empirical EEG analyses and hypothesis-driven research across multiple clinical contexts.

You will develop expertise in EEG methodology, quantitative analysis, and transdiagnostic biomarker research within an international, multidisciplinary team.

Qualifications

  • Master’s degree in neuroscience, biomedical sciences, or related field.
  • Strong interest in human neurobiology and EEG research.
  • Experience with quantitative research and statistical analysis.
  • Excellent written and spoken English.
  • Ability to work independently within a multidisciplinary team.

Responsibilities

  • Design and conduct a systematic review of EEG measures related to reward, motivation, and impulsivity.
  • Develop EEG analysis pipelines and quality-control procedures.
  • Analyze EEG data across cohorts and clinical datasets.
  • Test hypotheses linking EEG measures with neurobiological markers.
  • Publish findings in scientific journals and present at meetings.

Skills

Quantitative research
Analytical thinking
English proficiency
Independent work

Education

Master's degree in neuroscience or related field

Tools

MATLAB
Python
R

Job description

University of Groningen invites applications for a PhD candidate in Neuroscience focusing on EEG, neurobiology, and precision medicine. The project integrates systematic reviews with empirical EEG analyses and hypothesis-driven research across multiple clinical contexts.

You will develop expertise in EEG methodology, quantitative analysis, and transdiagnostic biomarker research within an international, multidisciplinary team.

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