Post-Doctoral Researcher in Healthcare Analytics (m/f/x)

Faculty of Business Administration - Munich School of Management - AI Institute for Management
Start date
The starting date can be freely chosen.
Application deadline
31 Jan 2022
Remuneration group
TV-L E13
Contract duration
The position is initially for max. 1,5 years with an option to extend.

The newly founded Institute of AI in Management at LMU Munich School of Management seeks to fill a position as Post-Doctoral Researcher in Healthcare Analytics (Standard German pay scale, TV-L E13, 100%/full-time).

Our research is driven by the strong desire to conquer the grand challenges of our society: bringing AI into healthcare. For this purpose, we draw upon recent advances in artificial intelligence and statistical modeling in order to produce actionable insights. Different from a post-doc in pure computer science or Mathematics, our work is more applied as we tailor advanced analytics to the specific requirements of the application.

We have kicked 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 general science (e.g. PNAS) and medicine (e.g. Lancet Digital Health, Nature Medicine).

Tasks and responsibilities

The position is funded by the Swiss National Science Foundation as an interdisciplinary project with ETH Zurich and Inselspital Bern. A project description can be found here.


Ideally, the candidate has a Ph.D. degree in medicine, statistics, computer science, health management, bioinformatics, etc. (or a related field). Fluency in the English language is highly recommended.


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.

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 + 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, no later than 31.01.2022.


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