I have a PhD position to design theoretically grounded
online/reinforcement learning algorithms for carbon aware
scheduling of computational jobs to reduce CO2 emissions. The aim
is to find ways to schedule computation at times of low carbon
intensity of electricity supply, without relying on predictability
of carbon intensity. Complete project description is available here.
Candidates are expected to have solid theoretical background and
knowledge of online and reinforcement learning.
Supervisors: Yevgeny Seldin and Raghavendra Selvan.
Apply at https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=164839
When applying for this project write down "Yevgeny Seldin" in the
"Principal Supervisor" field. (The call includes four additional
positions in other domains of Machine Learning with other
supervisors, which you are welcome to apply to, if relevant.)
Application deadline: 30 September 2025
Contact details for questions: Yevgeny Seldin <sel...@di.ku.dk>