Faculty: Information and Computer Science, Artificial Intelligence, Data Science, Business Analytics
AI / Machine Learning
The internship is with the company Maistering, a global start-up with strong foundations as it is funded by experienced players and following a game plan to become global leader in the new category of orchestration tooling. Maistering is leveraging AI to support business leaders to master their objectives and execution, stimulate and facilitate their teams and maximize impact today and mid-term.
Location of the internship will be at the Maistering offices either in Rotterdam or Amsterdam, The Netherlands.
The internship starts as soon as possible but not later than March 2019. The duration will be 3 to 6 months.
The internship will be conducted in an international setting, all communication will be conducted in the English language.
A compensation of 500-750 euro per month will be provided. If (occasional) travel to other than the regular office is required, travel costs will be covered.
The Research topic of this internship is the learning aspect of Artificial Intelligence, applied to the domain of business leaders. We are creating a toolset that augments CXO’s and other leaders in their day to day work, in other words, the toolset should support activities like strategizing, inspiring, delegating, prioritizing etc. The research should analyse what kind of AI learning techniques and tools could be applicable for these situations. Important to notice is that, in contrast with many recent AI use cases, the data sets available for learning will not always be large. Therefore, part of the research should focus on AI learning techniques that are not based on large data sets.
Typical research questions also include: What kind of technology solutions exist in the market, in what stage of maturity? Who are interesting start-ups in this domain? Who are the leaders? Is there a “Hype Cycle” for these technologies? What other technologies are on the same hype cycle? What is the key functionality of the identified products? Is there a (Gartner) analyst Taxonomy for this domain?