The Max Planck Institute of Psychiatry, Germany is recruiting a PhD student for a fully funded position to work on the project "Developing and implementation of machine learning applications and data analysis in Translational Psychiatry".
Project Description
The MPIP Fellowship led by Prof. Dr. med. Falkai at the Max Planck Institute of Psychiatry focuses on developing transdiagnostic biomarkers across the spectrum of mental illness.
The project group “Translational Machine Learning” aims to develop clinically guided translational machine learning applications for the use in psychiatry. Specifically, developing and applying unsupervised and supervised machine learning techniques to answer a multitude of questions in severe mental disorders, ranging from affective and psychotic disorders to paraphilias or dementia. The focus lies in combining clinical expertise with state-of-the-art machine learning algorithms as well as interpretable AI approaches to develop clinically useful tools that can aid the diagnostic and therapeutic process in clinical care. Among many other projects, we are currently using support vector machines to predict long- and short-term treatment response in schizophrenia and we are developing multi-view toolboxes featuring Sparse Partial Least Squares Analysis to derive complex brain signatures of childhood trauma, personality and neuroinflammation. Most recently, we have added interpretable AI techniques, such as Shapley Values, and prompt engineering techniques to our portfolio.
Student Profile
Degree or extensive experience in data analysis, machine learning or related field
Advanced expertise in programming (e.g., MATLAB, R, Python)
Experience or interest in prompt engineering
Experience or interest in the development of toolboxes, applications and model deployment
Experience or interest in working with high performance computational clusters (Linux-based, Shell/Bash)
Good skills in spoken and written English
Ability to work independently but also effectively and collegially with other members of your team
Application Documents
Your online application must include:
A Cover letter and a summary of previous projects, including data analysis and machine learning techniques
Your complete CV incl. your publication list and your contact details
We recommend adding min. two references
The position is limited for three years.
Application procedure
• To submit your online application, visit the online application portal for this position
• Application Deadline: Open Until filled
• For Further info: visit the official posting webpage
• For Questions, Contact Dr.David Popovic at: