PhD Positions in Healthcare Analytics
Ludwig Maximilians University of Munich
Germany

PhD candidates in Healthcare Analytics (m/f/d)

Einrichtung: Fakultät für Betriebswirtschaft
(AI Institute for Management)
Besetzungsdatum: freely chosen, from February 2021 onwards
Ende der Bewerbungsfrist: 31.07.2021
Entgeltgruppe: TV-L E 13, 100%
Befristung: initially for two years with an option to extend

Es besteht grundsätzlich die Möglichkeit der Teilzeitbeschäftigung.

Die Ludwig-Maximilians-Universität München (LMU) ist eine der renommiertesten und größten Universitäten Deutschlands.

Aufgaben

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: https://mis.ethz.ch.

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.

Anforderungen

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.

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.

Ihr Arbeitsplatz befindet sich in zentraler Lage in München und ist sehr gut mit öffentlichen Verkehrsmitteln zu erreichen. Wir bieten Ihnen eine interessante und verantwortungsvolle Tätigkeit mit guten Weiterbildungs- und Entwicklungsmöglichkeiten. Schwerbehinderte Personen werden bei ansonsten im Wesentlichen gleicher Eignung bevorzugt. Die Bewerbung von Frauen wird begrüßt.

Bewerbungsadresse

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 sent to ai@bwl.lmu.de and no later than 31.07.2021

Im Rahmen Ihrer Bewerbung auf eine Stelle an der Ludwig-Maximilians-Universität München (LMU) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten und die Datenschutzerklärung der LMU für den Internetauftritt. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise und die Datenschutzerklärung zur Kenntnis genommen haben und mit der Datenverarbeitung im Rahmen des Auswahlverfahrens einverstanden sind.


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