Your tasks and responsibilities:

You will be part of our AI research team and work in a very vibrant atmosphere in our offices in Munich. 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 with an international network of researchers (e.g., Harvard, Yale, NYU, Cambridge) to develop solutions for today’s and tomorrow’s global challenges.

Candidates will also gain experience in teaching undergraduate and graduate courses and seminars, and support students in thesis work.

The position is initially for one year with an option to extend until the end of the PhD. The starting date can be set individually, as preferred by the candidate.

Your qualifications:

Ideally, the candidate has a master’s degree in mathematics, applied mathematics, statistics, computer science, or business informatics (or a related field). Fluency in English is required. Work is almost entirely research-centered with limited teaching duties.

A suitable candidate will be interested in one (or more) of the following topics:

• Causal machine learning
• Machine learning, deep learning, artificial intelligence
• Probabilistic machine learning (hidden Markov models, Hawkes processes)
• Bayesian learning (MCMC, Gaussian processes, variational inferences)
• Policy learning
• Statistics (Bayes)

Topic-wise our research group is always open to own proposals and further suggestions.

Benefits:

The application of women is welcome.

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 and transcript only) to minimize effort on both sides. Cover letter or internship reports are not required. Please note that we only accept applications submitted via email to ai@som.lmu.de no later than 31.08.2023.

Where knowledge is everything.

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. Become part of LMU Munich!

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 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.