Junior Professorship (m/f/d) in the field of Trustworthy Artificial Intelligence and Causality

TN Germany; Hannover; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

An established academic institution is seeking a Junior Professor in Trustworthy Artificial Intelligence and Causality. This role involves pioneering research and teaching in causal representation learning, contributing to the interdisciplinary CAIMed research center focused on AI applications in personalized medicine. The position offers a vibrant scientific community and excellent working conditions in a nature-friendly city. With a commitment to diversity and equal opportunities, the university encourages applications from female and international researchers, providing a supportive environment for professional growth.

Leistungen

Further training opportunities

Family support services

Support for international researchers

Work-life balance initiatives

Qualifikationen

• PhD in AI-related topics with relevant publications in trustworthy AI.
• Experience in project management and international collaboration is advantageous.

Aufgaben

• Represent Trustworthy AI and Causality in research and teaching.
• Advance the state of the art in causal representation learning and models.

Kenntnisse

Causal Representation Learning

Trustworthy AI

Project Management

International Collaboration

Ausbildung

PhD in AI-related topics

Jobbeschreibung

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Junior Professorship (m/f/d) in the field of Trustworthy Artificial Intelligence and Causality, Hanover

Leibniz University Hannover invites applications for a Junior Professorship (m/f/d) in the field of Trustworthy Artificial Intelligence and Causality. The position is located in Hanover, Germany, and is within salary scale W1 of the Lower Saxony system (NBesO). It is initially limited to three years with a renewal option for an additional three years.

Position Details

The successful candidate will represent Trustworthy AI and Causality in research and teaching, advancing the state of the art in causal representation learning, causal models, and their applications in medicine. The role supports the interdisciplinary CAIMed research center, focusing on AI and personalized medicine to address diseases like cancer and cardiovascular conditions.

Qualifications

An excellent PhD in AI-related topics and relevant publications in trustworthy AI and causal methods are required. International collaboration experience and project management skills are advantageous. Courses will be taught in English.

What We Offer

LUH provides excellent working conditions, a vibrant scientific community, and a high standard of living in a city close to nature. Additional benefits include opportunities for further training, family support services, and support for international researchers. The university promotes diversity, equal opportunities, and work-life balance. Female researchers and international applicants are especially encouraged to apply. Part-time employment options are available upon request.

Additional Information

Candidates over 50 without civil servant status in Germany will be employed as regular staff. Employment requirements are detailed in § 30 of the Lower Saxony Higher Education Act (NHG). For further details, contact the Appointment Matters department.