PhD Scholarship in Machine Learning: The Max Planck Institute of Psychiatry invites applications for a PhD student position in the development and implementation of machine learning applications and data analysis within Translational Psychiatry. The selected candidate will work on cutting-edge research aimed at developing transdiagnostic biomarkers and clinically guided machine learning tools to address severe mental disorders.
PhD Scholarship in Machine Learning Applications and Data Analysis in Translational Psychiatry
Summary Table
| Designation | PhD Student (m/f/d) |
|---|---|
| Research Area | Machine Learning and Data Analysis in Translational Psychiatry |
| Location | Max Planck Institute of Psychiatry, Germany |
| Eligibility/Qualification | Degree or extensive experience in data analysis, machine learning, or related field; proficiency in programming (MATLAB, R, Python); interest in prompt engineering, toolbox development, and high-performance computational clusters; good English skills; ability to work independently and collaboratively. |
| Job Description | Develop and apply machine learning techniques to psychiatric research; focus on unsupervised and supervised learning methods; engage in projects involving support vector machines and multi-view toolboxes; utilize state-of-the-art AI techniques; participate in interdisciplinary team work. |
| How to Apply | Submit an online application including a cover letter, summary of previous projects, complete CV with publication list and contact details, and at least two references. |
| Last Date for Apply | Until position filled |
Designation
PhD Student (m/f/d) for Development and Implementation of Machine Learning Applications and Data Analysis in Translational Psychiatry
Code: 8740
Research Area
Machine Learning and Data Analysis in Translational Psychiatry
Location
Max Planck Institute of Psychiatry, Munich, Germany
Eligibility/Qualification
- 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 as well as effectively and collegially with team members
Job Description
- Develop and apply machine learning techniques for psychiatric research
- Focus on unsupervised and supervised learning methods to address severe mental disorders
- Engage in projects using support vector machines for predicting treatment responses in schizophrenia
- Develop multi-view toolboxes with Sparse Partial Least Squares Analysis for studying brain signatures of childhood trauma, personality, and neuroinflammation
- Incorporate interpretable AI techniques, such as Shapley Values, and prompt engineering into research
- Work within a dynamic, interdisciplinary team
How to Apply
Interested candidates should submit an online application including:
- A cover letter and summary of previous projects, particularly those involving data analysis and machine learning techniques
- A complete CV including a publication list and contact details
- At least two references
For further inquiries, contact Dr. Dr. David Popovic at david_popovic@psych.mpg.de or +49 89 30622 – 8440.
Last Date for Apply
Until position filled
Additional Information
The Max Planck Society is committed to gender equality and diversity. Women and individuals with disabilities are particularly encouraged to apply. The institute management supports the use of parental leave, especially by fathers.
For more details, please visit Max Planck Institute of Psychiatry. We look forward to your application!
