the Reasoning and Learning Group at Linköping University in Sweden has
two open postdoc positions (up to 2 years each) for doing curiosity
driven basic research in the intersection between reasoning and
learning. Application deadline August 24.
We are a growing research group with a broad interest in AI. We are
especially interested in spatio-temporal reasoning and learning such as
learning and reasoning about trajectories and events/activities,
incremental reasoning and learning such as a stream reasoning and
learning, multi-agent reasoning and learning such as combinatorial
assignment and multi-agent reinforcement learning, and reasoning and
learning for Trustworthy AI such as privacy-preserving synthetic data
generation and run-time verification for safe autonomous systems.
At least one of the postdocs will work on developing new machine
learning methods for creating privacy preserving synthetic
spatio-temporal trajectory data sets. The goal is to 1) extend
generative adversarial network (GAN) methods to learn generative
spatio-temporal trajectory models and 2) develop new Bayesian
Optimization methods for creating tailored privacy-preserving synthetic
data sets using these generative models.
For more information and to apply see:
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=14404&rmlang=UK
If you want to know more please get in touch!
Cheers,
Fredrik
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
