Dear SPM users,
We are currently seeking a PhD student (m/f/d) in the field of “Machine learning / Deep learning for Neuroimaging” (Pay grade E13 TV-L / 65% - temporary employment for 36 months).
The PhD fellow will work in the Predictive Neuroimaging Laboratory (PNI-lab), a recently established junior research group at the University Hospital Essen, in close collaborations with:
- the Bingel-Lab (https://www.uk-essen.de/clinical_neurosciences_bingel/)
- the Timmann-group (http://dagmar-timmann.de) and
- the Institute for Artificial Intelligence in Medicine (https://ai.uk-essen.de).
Challenge:
- Enhancement of MRI-processing workflows for brain connectivity analysis.
- Development of dedicated feature engineering approaches for brain network data.
- “Brain-decoding” via machine learning, based on resting-state and task-based connectivity, targeting learning dynamics and pain.
- Evaluation of the neuroscientific validity of the developed predictive models.
Your profile:
- University degree (master or diploma) in computer science, applied mathematics or physics; eligible candidates from other disciplines are also encouraged to apply.
- Programming / software development experience with e.g. python, R, Matlab, bash.
- Expertise in at least one of the following fields is desired:
- analysis of biomedical data and, in particular, functional and structural MRI
- machine learning (“classical” approaches, neural networks, corss-validation)
- statistical methods (e.g. permutation-based techniques)
- Strong English-language writing and communication skills.
We offer:
- Working in a highly interdisciplinary environment in a recently established junior research group, embedded into the Institute of Artificial Intelligence in Medicine, University Hospital Essen.
- Close collaboration with the Collaborative Research Center SFB 1280 (Extinction learning), funded by the Deutsche Forschungsgemeinschaft.
- Strong links to the broader international scientific community.
- Excellent research facilities: retrospective imaging data, 3T/7T MRI scanners, high performance computing (+GPU) and a dedicated in-house software code-basis.
- Enrolment in the structured PhD graduate program “BIOME” (Graduate School of Biomedical
Science) and its scientific activities.
See the detailed job advertisement in attachment or download it below:
https://pni-lab.github.io/blog/phd_student_job_advert/Stellenausschreibung_Nr.798_Doktorand.pdf
Please send your application (including a one-page motivation letter with focus on experience in related topics, a full CV and two references) with reference to the tender number 798 within 4 weeks preferably by email to:
Dr. Tamas Spisak
PNI-Lab
Institute for Diagnostic and Interventional Radiology and Neuroradiology
University Hospital Essen Hufelandstraße 55 D-45147 Essen
Germany [log in to unmask]
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