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AI:X Labs

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The AI:X-Lab initiative significantly advances interdisciplinary research to drive innovation and social impact. Aligned with the university’s Knowledge for the World strategy, it positions artificial intelligence as a key tool for addressing global challenges and promoting sustainable development. AI:X-Labs focus on collaboration, excellence, and societal relevance, uniting researchers from various fields to explore ideas and create transformative solutions.

AI:X Labs

Call

The AI:X-Lab initiative significantly advances interdisciplinary research to drive innovation and social impact. Aligned with the university’s Knowledge for the World strategy, it positions artificial intelligence as a key tool for addressing global challenges and promoting sustainable development. AI:X-Labs focus on collaboration, excellence, and societal relevance, uniting researchers from various fields to explore ideas and create transformative solutions.

The initiative is guided by three key objectives:

  1. 1

    Investing in talent:

    Attracting and developing a new generation of AI researchers, ensuring that promising early-career researchers can grow and contribute significantly to the field.

  2. 2

    Strengthening interdisciplinarity:

    Facilitating cross-disciplinary collaboration between AI specialists and researchers from other domains to create innovative approaches and impactful results.

  3. 3

    Building a strong profile

    Establishing the university as a leader in AI research, nationally and internationally, by fostering high-impact research that addresses pressing global issues.

By uniting diverse perspectives and expertise, AI:X-Labs aim to drive scientific breakthroughs, deliver practical solutions, and contribute to societal well-being. Researchers are invited to contribute to this ambitious vision, shaping the future of AI and positioning Aalborg University as a leader in this critical area. These labs embody the bridge between research ‘in,’ ‘with,’ and ‘through’ AI, focusing on AI-focused and AI-integrated approaches.

AI-Focused: Focuses on the core development of AI itself as a field of study. It involves advancing the theoretical foundations, algorithms, models, data, and technologies of AI.

AI-Integrated: Focuses on embedding AI into other fields to solve problems, enhance processes, or create new opportunities. AI serves as a key tool or lens for inquiry, working alongside other disciplines, including ethics, organizational research, and societal stud

 

Key Participants in an AI:X Lab

Each AI:X-Lab is built around a collaborative and interdisciplinary team structure, designed to drive innovation and deliver impactful research. Below is an overview of the key participants who contribute to the lab’s success:

Lab Directors

• Each AI:X-Lab is led by two Lab Directors from different departments, ensuring a balance of expertise.
• One director focuses on developing AI (focused), while the other emphasizes applying AI (integrated) in a specific domain.
• Their complementary skills drive the interdisciplinary approach central to the lab’s mission.

PhD Students

• Each lab includes two PhD students who play a vital role in advancing the research agenda.
• The students are selected to align with the lab’s focus. They contribute through innovative research projects and benefit from mentorship and career development opportunities.

Mentor

• A senior researcher (full professor) mentors the team, provides strategic advice, and ensures alignment with the lab’s goals.

• The mentor acts as a bridge between junior and senior researchers, enhancing the lab’s collaborative environment (see terms of reference for mentors).

Lab Directors

• Each AI:X-Lab is led by two Lab Directors from different departments, ensuring a balance of expertise.
• One director focuses on developing AI (focused), while the other emphasizes applying AI (integrated) in a specific domain.
• Their complementary skills drive the interdisciplinary approach central to the lab’s mission.

PhD Students

• Each lab includes two PhD students who play a vital role in advancing the research agenda.
• The students are selected to align with the lab’s focus. They contribute through innovative research projects and benefit from mentorship and career development opportunities.

Mentor

• A senior researcher (full professor) mentors the team, provides strategic advice, and ensures alignment with the lab’s goals.

• The mentor acts as a bridge between junior and senior researchers, enhancing the lab’s collaborative environment (see terms of reference for mentors).

Funding for AI:X Labs

Each AI:X-Lab is funded through the university’s strategic and prioritization pools allocated to the faculties. The funding is targeted to support core activities:

  • PhD Positions: Two PhD students per lab are funded. They form the backbone of the lab’s research capacity and contribute to its interdisciplinary goals.
  • Lab Operations: A budget of DKK 50,000 is allocated per lab to cover operational costs and support collaborative activities.

However, Lab Leadership and Mentorship are not included in the strategic funding. The participating departments must cover these, ensuring their commitment to the lab’s success.

No additional strategic funding will be provided beyond this initial allocation. Labs are expected to operate within the provided resources, and securing external funding is strongly encouraged to enhance and sustain the lab’s activities.

 

Timeline and Structure of AI:X Labs

The AI:X Labs initiative will launch in two phases:

2025: The first five labs were established during the spring of 2025.

2026: This phase will establish additional eight labs.

All AI:X-Labs are designed as virtual labs, enabling interdisciplinary collaboration across departments without requiring a shared physical space. The virtual structure ensures that the labs can bring together expertise from across the university, overcoming traditional barriers to collaboration.

Who can apply?

To be eligible for participation in the AI:X-Lab initiative, applicants must meet two key criteria:

  • Employment at Aalborg University: Applicants must hold an employment position at Aalborg University by the expected start date of the PhD positions, August 15, 2026.
  • PhD Timing and Eligibility Window: Eligibility is determined by the time elapsed since the applicant’s first PhD defense, which must fall between 3 to 13 years before January 1 of the call year. The eligibility window may be extended in certain circumstances, including maternity or parental leave, long-term illness, family care leave, military service, or humanitarian work.

You can participate in more than one proposal, but you can only be granted one lab.

NB: Lab directors from one of the existing five AI:X Labs from 2025 cannot apply in the 2026 phase.

Evaluation Criteria

AI:X-Lab proposals will be evaluated using the criteria outlined below. The assessment is conducted in two steps by the Vice Deans of Research and subsequently by the Deans, and proposals must align with the Lab allocation and budget approved by executive management.

  1. 1

    Scientific potential

    • Originality: Does the proposal clearly articulate how the AI:X-Lab advances the field or addresses critical knowledge gaps?
    • State-of-the-Art Contribution: Is the research well-grounded in recent developments, and does it demonstrate how it builds upon and surpasses existing work?
    • Clarity and Feasibility: Are the hypothesis or key questions well-defined and connected to a coherent and practical research plan?
  2. 2

    Interdisciplinary approach

    • Interdisciplinarity: Does the proposal integrate diverse fields effectively to create unique research opportunities?
    • Integration of Disciplines: Does the proposal effectively highlight the added value of combining disciplines?
  3. 3

    Relevance and Societal Impact

    • Problem-Solving Potential: Does the Lab address a well-defined, relevant problem with societal, real-world, or commercial significance?
  4. 4

    Team Composition and Collaboration

    • Lab Directors: Are the proposed Lab Directors qualified and complementary?
    • Diversity of Expertise: Does the team include researchers from distinct disciplines (from two different departments), reflecting the cross-disciplinary intent of AI:X Labs?

These criteria provide a balanced framework for evaluating AI:X-Lab proposals and ensuring alignment with Aalborg University’s strategic vision.

Application form

The application form will follow in mid-November.