- Faculty of Business Administration - Munich School of Management - AI Institute for Management at LMU Munich School of Management
- Start date
- as soon as possible
- Application deadline
- 30 Sep 2021
- Remuneration group
- TV-L E 13
- Contract duration
- The position is initially for two years with an option to extend.
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 2 positions for Research and Teaching Assistants as Research Assistants in Healthcare Analytics (Standard German pay scale, TV-L E13, 100%).
Our research is driven by the strong desire to conquer the grand challenges of 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 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.
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, management (e.g., Marketing Science, Operations Research) or medicine (e.g., Lancet Digital Health, Nature Medicine).
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. We aim to have most candidates set ground in fall 2021.
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.
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.
Also possible in a part-time capacity.
People with disabilities who are equally as qualified as other applicants will receive preferential treatment.
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 intership reports are not required. Please note that we exclusively accept applications submitted via email and no later than 30.09.2021.
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.
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