Academic Instructor
1 month ago
Aarhus University invites international faculty members to teach for two or three weeks in July or August 2025 at the AU Summer University.
About the RoleWe are seeking lecturers who can teach at Bachelor or Master's level within, but not limited to, the following fields:
- Business Intelligence Machine and Deep Learning – Applications and Case Studies in Business Artificial Intelligence and Generative Artificial Intelligence in Business Explainable Artificial Intelligence Ecommerce, Web and Social Media Analytics in Business
- Programming for Business
- Business Economics
- Industrial Organization and Trade
- Finance Cryptocurrencies and Blockchain Technology Sustainable Finance Private Equity Market Microstructure Trading (High Frequency) Commodity Markets Quantum Computing in Finance Artificial Intelligence in Finance
- Quantitative Methods in Economics
- Business Operations Logistics and Supply Chain Lean Management Operations Research and Artificial Intelligence
- Inter-disciplinary courses involving business and economics disciplines
Proposals for specialized courses and courses that do not overlap with our current teaching portfolio will be particularly considered. Please note that you should submit your course proposal along with your CV and PhD diploma if you wish to apply.
Key ResponsibilitiesYour main responsibilities as a lecturer will include:
- Taught all weekdays from 9-13, start and end date included
- Assessing the written exam and two retakes
Candidates must hold a PhD degree and have teaching and research experience, as well as a publication record within the field of the proposed course. The relevance of the proposed course is also an important criterion.
What We OfferAarhus University offers a competitive salary of €8075 and one return ticket on economy class. Your salary will be subject to taxation in Denmark, and the tax rate will be around 25%. Double taxation agreements may have an influence on the total taxation of your income in Denmark when declared at home.
Selection CriteriaCandidates will be selected according to their teaching and research experience, publication record, and the relevance of the proposed course.