Genetic factors influence how the brain processes information and regulates behaviour. In this project, you will investigate the genetic basis of brain activity, focusing on electroencephalographic (EEG) oscillations. As part of an international consortium, you will combine genetic and EEG data to investigate how genes influence brain activity, behavioural traits, and mental health.
You will identify genetic variants associated with EEG features, explore their effects on brain activity, and investigate links between genetic risk factors and neurodevelopment. This project, funded by a national research financier, brings together large-scale datasets and advanced analytical methods, including machine learning, genomics, and transcriptomics.
Your research will contribute to identifying new EEG biomarkers for mental health disorders and improving our understanding of brain development from childhood to old age.
What you do
As a postdoctoral researcher, you will coordinate data access and integration across the participating cohorts of the consortium. You will help develop research projects, communicate with international collaborators, and monitor progress across the consortium.
- Coordinating data collection, access, and integration across participating cohorts.
- Developing research projects in collaboration with international consortium members.
- Conducting meta-analyses of genetic and EEG data and contributing to scientific publications.
- Developing and implementing standardised protocols and workflows for EEG analyses.
- Presenting research findings at scientific conferences and collaborating with researchers across international sites.
You will have opportunities to develop your expertise in advanced data analysis methods, including genome-wide association studies (GWAS), polygenic scoring, machine learning, advanced EEG analyses, and multi-site statistics.
Profile
You are an enthusiastic and independent researcher who enjoys working across disciplines and collaborating with international research teams. You are interested in the genetic basis of brain function and mental health and are keen to develop your analytical skills.
- A PhD in imaging genetics, genetic epidemiology, neuroscience, biological psychology, or a related field.
- A strong interest in the project's research topics and the motivation to engage with cohort members worldwide.
- Experience with data analysis using scripting languages or tools such as Bash, Python, and/or R.
- Experience in genetic analysis or physiological data analysis; experience in both is an advantage.
- Experience implementing neural networks is an advantage.
- Excellent written and spoken English communication skills.
Practical
- A 12-month contract, with the intention to extend it for an additional year.
- Salary classification in scale 10: € 3,724 to € 5,867 gross for full-time employment (depending on experience).
- 8.3% end-of-year bonus.
- Holiday hours: 194.4 per year for full-time.
- 100% reimbursement for public transport travel costs. Mileage allowance of €0.21 per km for walking, cycling, or car (up to a maximum of 40 km one way by car).
- Pension accrual with a modern pension provider.
How to apply
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