Associate Professor, Clinical AI - Lead Multimodal Data

Aalborg University; Aalborg; On-site; DKK 140,000 - 180,000; Part time

Job summary

Aalborg University i Aalborg søger en Associate Professor i Klinisk AI til at lede og udvikle en forskningsgruppe med fokus på kliniske data og beslutningsstøtte. Stillingen omfatter også undervisning og supervision inden for medicinsk AI og data science ved Fakultetet for medicin.

Der forventes ph.d.-grad i bioingeniørvidenskab eller beslægtet felt, samt dokumenteret forskning af international standard og erfaring med formidling og samarbejde i tværfaglige teams.

Qualifications

• PhD in biomedical engineering or closely related field.
• Experience with data analysis in a clinical context.
• Programming in R or Python and familiarity with command-line tools.
• Experience with data management and the analysis of large datasets.
• Strong publication track record in data science.
• Excellent writing and communication skills in English, supported by a well-developed scientific vocabulary.

Responsibilities

• Lead and develop a research group in clinical AI with focus on multimodal clinical data for clinical decision support.
• Collaborate with local, national, and international specialists on integrating clinical data for personalized medicine in non-communicable diseases.
• Develop new clinical AI models and solutions and participate in study planning, writing scientific papers and acquiring funding.
• Take part in collaborative projects with the Center for General Practice, Aalborg University.
• Teaching and supervision duties in medical AI and data science may be expected.

Skills

PhD in Biomedical Eng

Clinical data analysis

R or Python

Command-line tools

Data management

Publication record

Interdisciplinary research

English writing

Education

PhD in biomedical engineering

Tools

R

Python

Command-line tools

Data management tools

Job description

Aalborg University i Aalborg søger en Associate Professor i Klinisk AI til at lede og udvikle en forskningsgruppe med fokus på kliniske data og beslutningsstøtte. Stillingen omfatter også undervisning og supervision inden for medicinsk AI og data science ved Fakultetet for medicin.

Der forventes ph.d.-grad i bioingeniørvidenskab eller beslægtet felt, samt dokumenteret forskning af international standard og erfaring med formidling og samarbejde i tværfaglige teams.