Postdoc position offer in mathematical statistics and machine learning in Uni Potsdam

We are searching for a postdoctoral candidate to work for 18 months in
the University of Potsdam, Germany. This is in the context of the
bilateral research program ASCAI between Germany and France funded by
ANR and DFG. This project brings together researchers in Statistics and
Computer Science from Potsdam, Montpellier, Paris-Saclay and Munich. The
general aim of this project is to provide theoretical grounds for a
collection of unsupervised learning that includes seriation, ranking,
time series segmentation, and hierarchical clustering. In particular, we
plan to characterize the optimal (in the minimax sense) learning rates
for a class of related latent models. Moreover, many modern unsupervised
learning applications are essentially of an online nature - and
sometimes decisions have to be made sequentially on top of that. For
instance, consider a recommender systems that sequentially recommends
items to users. In this context where sequential, active recommendations
are made, it is important to leverage the latent structure underlying
the individuals. We mainly seek a motivated researcher with a strong
mathematical background. Depending on their interests, the candidate
will work on any topic fitting within ASCAI.

Keywords: unsupervised learning, clustering, ranking, segmentation,
active learning

Location: University of Potsdam, Germany

Required skills: a PhD in Statistics or Machine Learning and a strong
mathematical background and record

Duration: 18 Months

Gross Salary : The salary is determined by the collective bargaining
agreement for public employees in Germany (TV-L 14), it is a full time

Starting Date : No later than September 2022

Supervision and Contact : Alexandra Carpentier
( Depending on the interests of the
candidates, close collaborations are possible with the partners of the
ASCAI project in TU Munich, Paris-Saclay, or Montpellier.

Requested documents for application : A resume, a cover letter, and one
or two recommendation letters should be sent to Alexandra Carpentier
( Start the application email with [Postdoc
application for ASCAI].

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