Postdoc: Generative AI in Education & Nordic Policy Research

Aalborg-University; Aalborg; On-site; DKK 360,000 - 480,000; Part time

Job summary

Aalborg University invites applications for a 2.5-year postdoctoral position in generative AI and educational research. The job is a 30-hour-per-week part-time role linked to the GAIYA project, with potential teaching duties and extension based on responsibilities.

The work is conducted within the Department of Culture and Communication, in Aalborg. You will conduct Danish data collection, analyses, and dissemination across an international network, contributing to peer-reviewed outputs and

Qualifications

• PhD required for appointment.
• Strong experience in qualitative and quantitative methods in humanities or social sciences.
• Ability to plan, transcribe, and code interviews and focus groups.

Responsibilities

• Conduct local Danish data collection and collaborative analyses with consortium partners.
• Perform focus group and teacher interviews with Danish students and school leaders.
• Gather and analyse quantitative survey data from Danish students.
• Compare cross-national data and analyse complete datasets with partners.
• Policy analysis of digital and AI literacies in Danish school policies within Nordic-Baltic context.
• Participate in meetings, workshops and dissemination activities.
• Potential teaching responsibilities within relevant study programmes.

Skills

Qualitative methods

Quantitative methods

Interviews

Focus groups

Survey data

Policy analysis

Academic writing

English proficiency

Danish language skills

Cross-country collaboration

Education

PhD

Job description

Aalborg University invites applications for a 2.5-year postdoctoral position in generative AI and educational research. The job is a 30-hour-per-week part-time role linked to the GAIYA project, with potential teaching duties and extension based on responsibilities.

The work is conducted within the Department of Culture and Communication, in Aalborg. You will conduct Danish data collection, analyses, and dissemination across an international network, contributing to peer-reviewed outputs and