- Faculty of Economics - AI Institute for Management
- Start date
- Starting dates are from February 2021 onwards
- Application deadline
- 31 Jul 2021
- Remuneration group
- TV-L E 13, 100%
- Contract duration
- two years with an option to extend
Our research is driven by the strong desire to conquer the grand challenges of our society: bringing AI into healthcare; curbing fake news with AI tools; fighting the coronavirus epidemic with data-driven insights; automating marketing with AI; and developing new tools for “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 PhD in pure computer science or Mathematics, our work is more applied as we tailor advanced analytics to the specific requirements of the application.
Our group, led by Prof. Stefan Feuerriegel, is current located at ETH Zurich. We will be kicking off our Munich base in summer 2021. You can read recent success stories from our impact on the website of ETH Zurich.
In our research, we have partnered with leading institutions – 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 a 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).
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. Topic-wise, our research facility is always open to own proposals and further suggestions. Work is almost entirely research-centered with limited teaching duties. We encourage women to apply.
A tentative candidate 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)
Our research group is always open to own proposals and further suggestions.
The starting date can be freely chosen. Starting dates are from February 2021 onwards. We have scan positions continuously and aim to have most candidates set ground in summer or fall 2021.
Your office is located at the heart of Munich - most likely Europe's most compelling place to live. 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 landed 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.
The position is initially for two years with an option to extend. The option of part-time employment is available in principle.
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+transcript only) to minimize effort at both ends. Cover letter or intership reports are not required. Please note that we exclusively accept applications submitted via email no later than 31 July 2021.
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