[agents] Two postdoc positions at CWI/Amsterdam: planning and (multi-agent) learning

[Michael Kaisers]

Centrum Wiskunde & Informatica (CWI, the Dutch national research institute
for mathematics and computer science) is looking for two postdocs to
research sample-based planning and multi-agent learning, motivated by
applications in smart energy systems. Both projects are industry
collaborations in which CWI provides the scientific foundation. The
positions are embedded in a diverse team of motivated junior and senior
researchers with experience and ongoing complementary projects on topics
such as (deep) multi-agent learning, negotiation, smart energy systems, and
more.

** Postdoc on Planning (3 years): Planning algorithms for market
allocations and control.

- Project: Flexible Assets Bid Across Markets (FABAM).
- Goal: improve planning algorithms, market models, and the interaction
between outside commitments, planning and control.
- Background: sequential decision-making under uncertainty (MCTS, POMDPs,
learning algorithms), (evolutionary) game theory and market response models.
- Application: apply until 11 February 2018.
-
https://www.cwi.nl/jobs/vacancies/postdoc-cwi-amsterdam-3-years-planning-algorihtms-for-market-allocations-and-control-project-flexible-assets-bid-across-markets-fabam

** Postdoc on Learning (13 months): Multi-agent systems for smart energy
cooperatives.

- Project: Grid-Friends - Demand Response For Grid-Friendly Quasi-Autarkic
Energy Cooperatives.
- Goal: develop learning algorithms for strategic interactions and
distributed control in face of uncertainty, with application to residential
energy cooperatives.
- Background: reinforcement learning, sequential multi-agent
decision-making under uncertainty, and (evolutionary) game theory.
- Application: selection starts 11 February 2018 until the position is
filled.
-
https://www.cwi.nl/jobs/vacancies/postdoc-cwi-amsterdam-13-months-multi-agent-systems-for-smart-energy-cooperatives-project-grid-friends-1

For more information contact Dr. Michael Kaisers (www.michaelkaisers.com),
or apply via the links above.
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