PhD Position - Translational Neuroscience

We are looking for a PhD candidate to join the Multimodal Imaging in Clinical Neuroscience department at the Institute of Neuroscience and Medicine – Medical Imaging Physics (INM-4). You will work in the field of translational neuroscience and precision psychiatry under the supervision of Prof. Dr. Irene Neuner and Dr. Ravichandran Rajkumar.

The brain mechanisms underlying psychiatric disorders are poorly understood, and treatment choices are largely symptom-based. In this project, you will use multimodal neuroimaging and computational neuroscience to study how brain networks change in these disorders. The aim is to identify imaging biomarkers that could support earlier diagnosis, predict disease trajectories at an individual level and help match treatment to the patient.

A key resource is our MINDset platform (Multimodal Imaging Infrastructure for Neuroscience Data Science), which consolidates over 1,000 multimodal datasets from clinical studies, including structural and functional MRI, PET, EEG, fNIRS, neuropsychological and clinical measures, and digital phenotyping.

• Integrate multimodal neuroimaging datasets from MRI, PET, EEG, and fNIRS studies
• Characterize brain networks using graph-theoretical methods and structural and functional connectivity analyses
• Apply multivariate statistical modelling and machine learning to multimodal datasets
• Investigate individualized imaging biomarkers relevant to diagnosis, prognosis, and treatment monitoring
• Coordinate longitudinal studies involving psychiatric patients and healthy controls, including recruitment, scheduling, and neuropsychological and psychopathological assessments
• Coordinate and supervise MRI data acquisition; maintain standardized acquisition protocols and data quality
• Manage and curate imaging data in accordance with established standards (e.g., BIDS)

• Excellent university degree (Master) in neuroscience, biomedical engineering, medical physics, psychology, cognitive science, computer science, physics, data science, or a related discipline
• A strong interest in translational psychiatry, neuroimaging and computational neuroscience, and a motivation to work in an interdisciplinary research environment
• Programming experience in MATLAB and/or Python, alongside strong analytical and problem-solving skills
• Experience with structural and/or functional MRI; familiarity with packages such as SPM, FSL, Free Surfer, AFNI, MRtrix, CONN, or similar tools is desirable
• Knowledge of neuroimaging preprocessing, quality control, graph theory, connectomics, multivariate statistics, or machine learning is an advantage
• Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR)
• German language skills at B1 level are desirable

• Team & Environment:
  You will work in a motivated and interdisciplinary team including psychiatrists, neuroscientists, physicists, engineers, and data scientists
• Research & Infrastructure:
  You will have access to advanced neuroimaging infrastructure and training in structural and functional MRI, multimodal imaging, connectomics, and computational neuroscience
• Networking & Exchange:
  You will participate in (international) conferences and project meetings, actively building your scientific network through collaborations involving Forschungszentrum Jülich, RWTH Aachen University, Ulm University, Bezirkskrankenhaus Günzburg and LVR-Klinik Cologne
• Supervision & Support:
  We will accompany your doctoral studies with continuous, expert guidance from your academic supervisors Prof. Dr. Irene Neuner and Dr. Ravichandran Rajkumar
• Work-life balance:
  Optimal conditions for balancing work and private life, as well as a family-friendly company policy.…