13.09.2023, Wissenschaftliches Personal
The Technical University of Munich (TUM) and the University of Augsburg (UoA) are seeking a talented Postdoctoral Researcher to work on an exciting interdisciplinary project exploring the Ethics of Predictive Artificial Intelligence in Psychiatry and Mental Healthcare. This temporary collaborative research endeavor aims to address the profound ethical questions surrounding AI-driven predictive models in mental health diagnosis, treatment, and patient care. The postdoc will work under the joint supervision of Prof. Ruth Horn (UoA), Prof. Marcello Ienca (TUM), and Prof. Verina Wild (UoA).
Are you a dedicated and innovative researcher passionate about the ethical implications of predictive AI in psychiatry and mental healthcare? We invite you to join our dynamic team of leading experts and make a significant impact on the future of mental healthcare.
Position Overview:
The Technical University of Munich (TUM) and the University of Augsburg (UoA) are seeking a talented Postdoctoral Researcher to work on an exciting interdisciplinary project exploring the Ethics of Predictive Artificial Intelligence in Psychiatry and Mental Healthcare. This collaborative research endeavor aims to address the profound ethical questions surrounding AI-driven predictive models in mental health diagnosis, treatment, and patient care.
The temporary postdoc will work under the joint supervision of Prof. Ruth Horn (UoA), Prof. Marcello Ienca (TUM), and Prof. Verina Wild (UoA). The Post-Doc will be part of a wider interdisciplinary research project digiBRAVE aiming to build a digital infrastructure for the early detection of depression and recurrence of the disease and step-by-step digital therapy offerings to improve patient care. The tiered offerings include aspects of self-help: online therapies, digital case management and digital psycho-education. digiBRAVE is based at the University Hospital Augsburg, funded by the Bavarian State Ministry of Health and Care . The position is funded 50% by TUM and 50% by UoA, and the Post Doc will be employed by both institutions.
Key Responsibilities:
- Conduct in-depth research on the ethical implications of predictive AI in psychiatry, including data privacy, informed consent, algorithmic transparency, and bias mitigation.
- Collaborate closely with the project's supervisory team: Prof. Ruth Horn (UoA), Prof. Marcello Ienca (TUM), and Prof. Verina Wild (UoA).
- Publish research findings in top-tier academic journals and present at conferences to disseminate knowledge and foster discussion.
- Organise a public engagement event for digiBRAVE • Engage in interdisciplinary dialogues and foster connections with stakeholders in the field. Mentor and supervise graduate students, fostering a collaborative and inclusive research environment.
Qualifications:
- A Ph.D. in a relevant field (e.g., ethics, philosophy, bioethics, computer science, psychology, or related disciplines).
- A strong track record of research excellence in ethics, AI ethics, or related areas, as evidenced by publications and presentations.
- Experience with interdisciplinary collaboration and an eagerness to work across boundaries.
- Excellent communication skills and a commitment to academic excellence. • Knowledge of predictive AI and psychiatry is a plus but not required.
- At least basic communication skills in German required
What We Offer:
- A vibrant and intellectually stimulating research environment at two prestigious institutions.
- Competitive salary on the TVL E-13 pay scale.
- Opportunity to engage with leading experts in the field of AI ethics and medical ethics.
- Professional development and career advancement opportunities.
- The chance to contribute to cutting-edge research with real-world impact.
How to Apply:
Interested candidates should submit the following documents to [email protected] ; [email protected] ; [email protected]
Application Deadline: October 6, 2023
Expected Start Date: December 1, 2023
This position is suitable for persons with disabilities. Applicants with disabilities will be given preference in the event of otherwise essentially equal suitability, ability and professional performance.
The workplace in Munich is not completely barrier-free and not wheelchair accessible (listed old building).
We look forward to welcoming a dynamic and enthusiastic Postdoctoral Researcher to our team. Join us in shaping the future of ethical AI in psychiatry and make a meaningful difference in the lives of individuals facing mental health challenges.
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: [email protected]; [email protected]; [email protected]
More Information
https://get.med.tum.de/
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