Research and Teaching Assistants (“PhD Candidates”) in Applied Artificial Intelligence (m/f/x)
Your tasks and responsibilities:
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 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 the English language is highly recommended. Topic-wise, our research 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 have scan positions continuously.
Benefits:
An office which 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 aspiring 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 (e.g., Harvard, Yale, NYU, Cambridge) 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 one year with an option to extend until the end of the PhD.
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 internship reports are not required. Please note that we exclusively accept applications submitted via email sent to ai@som.lmu.de and no later than 28.02.2023.
转自：“科研doge”微信公众号
如有侵权，请联系本站删除！
