Associate Professor in AI for Health Technologies (Academia, Remote)

Job summary

The position involves leading a research program focused on health informatics, digital health systems, and AI-driven medical technologies, with an emphasis on developing clinically relevant machine learning models. Collaboration with colleagues to secure external research funding is a key aspect of the role.

Qualifications

• PhD in a relevant field.
• Strong research background in areas such as Health Informatics, AI-Driven Clinical Decision Support, Natural Language Processing, EHR Analytics, and Machine Learning for Healthcare.
• Experience in interdisciplinary research collaboration and teaching.
• Proven track record in securing research funding and leadership in applied AI for healthcare.

Responsibilities

• Lead innovative research initiatives in health informatics and AI technologies.
• Collaborate with various stakeholders to attract research funding.
• Provide education and supervision for bachelor, master, and PhD students.

Skills

• Expertise in Health Informatics and Digital Health.
• Proficiency in Human-Machine Interaction and applied machine learning.
• Strong publication record in relevant scientific journals and conferences.

Education

• A PhD is required, with a solid educational background enabling teaching in relevant fields.

Tools

• Familiarity with programming, data-driven system development, and machine learning applications in healthcare.