Associate Professor AÉB/45/2026

Corvinus University of Budapest is Hungary’s leading university in the field of economics and social sciences. Maintained by the Maecenas Universitatis Corvini Foundation, Corvinus’ medium-term objective is to become the best higher education institution in these fields, not only in the country but also in Central Europe. Corvinus University currently has around 8,000 students, including 2,000 foreign students. It has close links with more than 250 partner universities worldwide. Corvinus regularly ranks highly in international higher education rankings, and its Business and Management programme was ranked first in the region in the 2019 Eduniversal ranking. Corvinus University of Budapest is the only university in Hungary in the field of economics to have two international institutional accreditations (AMBA, AACSB). 

The Institute of Data Analytics and Information Systems announces an open call for applications for the Associate Professor position (full-time) for an indefinite period for the spring semester 2026/27.

Job description and key duties

Teaching duties:

  • Teaching of subjects belonging to the education portfolio of the Institute of Data Analytics and Information Systems, in weekly class hours as defined by the Academic Career Model. 

Teaching responsibilities include:

  • Designing and delivering undergraduate, master’s, and doctoral-level courses in applied AI, including topics such as generative AI/agentic AI, responsible AI, data science, green AI, and AI systems deployment.
  • Developing practice-oriented curricula that integrate real-world datasets, industry case studies, and experiential learning opportunities.
  • Supervising student projects, theses, and capstone work with strong applied business and industry relevance.
  • Contributing to the development of new and ongoing academic programs and concentrations, such as MSC programs in AI.

Research duties:

  • Writing articles in prestigious international and domestic journals in the field of applied AI, AI systems, or domain-specific AI (e.g., financial AI, AI in HR).
  • Participating at important international and domestic conferences, building international scientific relationships, getting involved in research projects, active research application activity in the field of applied AI, thus securing the resources of the research projects and contributing to the internationalisation of the Institute and the University.
  • Lead interdisciplinary research initiatives bridging AI with other fields.
  • Maintain an active, externally funded research agenda in applied AI.

Service duties:

  • Active participation in the professional life of the Institute of Data Analytics and Information Systems and the University, performing service tasks determined by the head of the Institute.
  • Lead or contribute to applied AI labs, centers, or innovation hubs.
  • Secure industry-sponsored research and applied projects.
  • Supporting early-career academics at the university, supervising PhD students, as well as students participating in student competitions 
  • Mentoring assistant professor colleagues in the Institute.

Documents and certificates to be submitted as part of the application

  • Application in English (a single PDF file) that includes:
    • a professional Curriculum Vitae
    • Presentation of the research career: research activities (inc. grants) and the connections thereof, the specific individual contributions to the research projects reported in the publications, the expected impact of the publications, plans for further research projects and grants,
    • Presentation of the teaching career: presentation of Hungarian and foreign language university courses taught (course portfolio); subject leader roles; teaching philosophy, pedagogical innovations and development, future plans (teaching portfolio, pedagogical innovations, etc.);
    • Presentation of the service career: past and planned contributions to administration and the University;
      The Application should be prepared using the Guidelines for candidates (see below)
  • Cover letter, including the presentation of future academic plans (educational, teaching development, and research plans)
  • References written by at least two professors or researchers of the discipline with a high reputation (signed, scanned)
  • Publications which the Candidate meets the minimum requirements
  • Scanned copies of the documents verifying the university degree, scientific rank (eg, PhD degree), and of the documents verifying other professional qualifications. (In case of scientific ranks obtained abroad, the nostrification will be arranged in the next phase of the selection procedure.)

Remuneration and benefits

  • Favourable conditions regarding research facilities, data access
  • Time devoted to research, travel support, etc.
  • A competitive salary is accompanied by a 15% bonus in case of outstanding performance
  • One-time relocation support for applicants moving to Hungary.
  • Cafeteria allowance

Application procedure

  • The deadline for the submission of the application: 2026.10.15.
  • The applications shall be submitted by clicking on the APPLICATION button and by following the instructions at the bottom of the webpage.
  • The next step of the selection procedure is that the shortlisted applicants will be interviewed by the relevant selection committee. The shortlisted applicants will be informed in a later phase about details and timing.
Application

For further information:

The Associate Professor of Applied Artificial Intelligence will provide leadership in teaching, research, and service in the rapidly evolving field of applied AI. This role emphasizes translating AI methods into real-world impact across domains such as finance, public sector, HR, or engineering. Preferred candidates will have experience working in interdisciplinary environments, such as the application of AI in business, or other cross-domain settings. They will also demonstrate a strong track record of business, industry collaboration, applied research partnerships, and/or technology transfer initiatives. The successful candidate will contribute to interdisciplinary initiatives, develop externally funded research programs, and engage with industry and community partners.

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