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PhD candidates in Applied Artificial Intelligence (m/f/d) at the AI Institute for Management

End of the application period: 31.07.2021


LMU Munich is one the world’s leading universities in human-centered research. The newly founded AI Institute for Management at LMU Munich School of Management seeks to fill up to 4 positions for Research and Teaching Assistants (m/f/d) as

PhD candidates in Applied Artificial Intelligence (m/f/d)

(Standard German pay scale, TV-L E13, 100%)

Our research

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 here: https://mis.ethz.ch

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).

What we offer

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.

Your profile

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.

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.

Job description

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.

Interested? How to apply

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 internship reports are not required. Please note that we exclusively accept applications submitted via email sent to ai@bwl.lmu.de and no later than 31.07.2021

In case of essentially equal qualification, applicants with impairments will be given preference. The position is initially for two years with an option to extend. The option of part-time employment is available in principle.

At your application for a position at Ludwig-Maximilians-Universität München (LMU), you submit personal data. Please refer to our data protection information in accordance with Article 13 of the General Data Protection Regulation (DSGVO) regarding the collection and processing of personal data and the LMU data protection statement for the website. By submitting your application, you confirm that you have taken note of the data protection information and the data protection declaration and that you agree to the data processing within the scope of the selection procedure.