Research Assistant in Applied Artificial Intelligence (m/f/x)

Institution
Faculty of Business Administration - Munich School of Management - AI Institute for Management
Start date
Starting dates are from July 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).

Requirements

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 July 2021 onwards. We have scan positions continuously and 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.

Benefits

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.

Contact

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.

Email: ai@bwl.lmu.de

Where knowledge is everything. Become part of LMU Munich!

LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech.

LMU offers state-of-the-art research infrastructure, an outstanding international network, attractive career opportunities and a broad spectrum of continuing personal development programs. In doing so, LMU supports its members in nurturing their talents and helping to shape their working environment.

In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our data protection guidelines — in accordance with Article 13 of the General Data Protection Regulation (GDRP) which concerns the collection and processing of personal data — as well as our LMU Privacy Policy. By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

What are you looking for?