|Faculty of Business Administration - Munich School of Management - Institute of AI in Management
|Full-time / Part-time
|As soon as possible
Our team of highly motivated and aspiring researchers, led by Prof. Stefan Feuerriegel, is based in Munich.
We are particularly interested in developing new methods. Our research is driven by the strong desire to conquer the grand challenges of our society:
For this purpose, we draw upon recent advances in artificial intelligence and statistical modeling to produce actionable insights. In our research, we develop new AI methods, often inspired by real-world applications.
We have partnered with leading institutions like the World Health Organization, the OECD, and leading industry players to develop new state-of-the-art tools for management that are powered by AI. We further aim to publish in top-tier outlets from applied AI (e.g., KDD, WWW). We are also open to more outlets in technical AI (e.g., AISTATS, ICML), statistics, or management (e.g., Marketing Science, Operations Research).
Please visit our website for further information about us.
As part of the team candidates have to be highly self-motivated to perform creative and independent research.
Candidates will also gain experience in teaching undergraduate and graduate courses and seminars, and support students in thesis work.
Ideally, the candidate has a master’s degree in mathematics, applied mathematics, statistics, computer science, or business informatics (or a related field). Fluency in English is required. Work is almost entirely research-centered with limited teaching duties.
A suitable candidate will be interested in one (or more) of the following topics:
Topic-wise our research group is always open to own proposals and further suggestions.
You will be in a motivated team with a very vibrant atmosphere. Our offices are in central Munich. During this time, participation in conferences and voluntary exchange programs are also supported. Past graduates have landed top positions in both industry and academia (e.g., University of Oxford). We work with an international network of researchers (e.g., Harvard, Yale, NYU, Cambridge) to develop solutions for today’s and tomorrow’s global challenges.
The position is initially for one year with an option to extend until the end of the PhD. The starting date can be set individually, as preferred by the candidate.
We encourage women to apply.
Also possible in a part-time capacity.People with disabilities who are equally as qualified as other applicants will receive preferential treatment.
We look forward to receiving your online application. We have a lightweight application procedure (CV and transcript only) to minimize effort on both sides. Cover letter or internship reports are not required. Please note that we only accept applications submitted via email to email@example.com no later than 15.03.2024.
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