- Faculty of Economics - AI Institute for Management
- Start date
- flexible, from February 2021 onwards
- Application deadline
- 31 Jul 2021
- Remuneration group
- TV-L E 13, 100%
- Contract duration
- initially for two years with the option to extend
Our research is driven by the strong desire to conquer some of the greatest challenges in our society: bringing AI into healthcare; curbing COVID-19 fake news with AI tools; fighting the coronavirus epidemic with data-driven insights; automating marketing with AI; and developing new tools to promote “AI for Good”. For this purpose, we draw upon recent advances in artificial intelligence and statistical modeling in order to produce actionable insights. Different from a doctoral degree in pure Computer Science or Mathematics, our work is more applied. Thus, we tailor advanced analytics to the specific requirements of the application.
Our group, led by Professor Stefan Feuerriegel, is currently located at ETH Zurich. We will be kicking off our Munich base in summer 2021. You can read recent success stories relating to our impact on the website of ETH Zurich.
Ideally, the candidate has a Master’s degree in Mathematics, Applied Mathematics, Statistics, Computer Science, or Business Informatics (or a related field). Fluency in the English language is highly recommended. Work is almost entirely research-centered with limited teaching duties. We encourage women to apply.
Candidates will be interested in one (or more) of the following topics:
- Machine learning / deep learning / artificial intelligence
- Probabilistic machine learning (hidden Markov models, Hawkes processes)
- Bayesian learning (MCMC, Gaussian processes, variational inferences)
- Causal machine learning
- Policy learning
- Statistics (Bayes)
Topic-wise, our research group is always open to your own proposals and further suggestions.
Your office is located in the heart of Munich — arguably one of the best places to live in Europe. You will work with a highly motivated team of researchers in a very vibrant atmosphere. During this time, participation in conferences and voluntary exchange programs are also supported. Past graduates have secured top positions in both industry and academia (e.g. University of Oxford). We work together with an international network of researchers to develop solutions for the global challenges of today and tomorrow.
Candidates will also gain experience in teaching undergraduate and graduate courses and seminars, and support students in thesis work.
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 (resume and transcript only) to minimize effort at both ends. Cover letters or intership reports are not required. Please note that we ONLY accept applications submitted via email sent no later than 31 July 2021 to:
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