Southern Denmark (SDU) <https://www.linkedin.com/company/imadasdu/>,
Odense, invites applications for PhD positions tied to the research project
"Parallel Portfolio of Parallel Solvers" which aims to advance the state of
the art in solving NP-hard optimization problems by developing innovative
strategies for combining parallel solvers in portfolio-based approaches.
The project focuses on exploring the trade-offs between computational
resource usage and solving efficiency, leveraging advanced AI techniques,
statistical modelling, and heuristic methods to create a new generation of
portfolio solvers.
The successful candidate will work with the project's principal
investigator, Prof.
<https://www.linkedin.com/in/ACoAAAchZvMBtXmVF8OlncTQfFdJUF9gcjDob3Q>Jacopo
Mauro <https://www.linkedin.com/in/jacopo-mauro/>, who has extensive
expertise in algorithm selection and optimization, and collaborate with a
vibrant international research network that includes leading experts in AI,
combinatorial optimization, and parallel computing.
The proposed starting time is March 2025, with room for flexibility. The
appointment will be made at a competitive salary and will follow the PhD
study programme at Faculty of Science, University of Southern Denmark
<https://www.linkedin.com/company/sduscience/>.
We are looking for highly motivated candidates with a strong interest in
algorithm design, optimization, and computational resource management. The
ideal candidate has an MSc in Computer Science or a related field and
experience in at least one of the following areas (acquired, for example,
through coursework, projects, or an MSc thesis):
👉Parallel computing and resource allocation strategies
👉AI-based techniques (e.g., Random Forests, Gaussian Processes,
👉Reinforcement Learning, Feature Selection, Optimal Stopping, Multi-armed
bandit)
👉Heuristic and rule-based optimization methods
👉DevOps and Distributed system development
Read more and apply here: https://lnkd.in/dnTGmSUa
Application deadline is 15 February 2025 (end of day, Danish time).
--
Jacopo Mauro, Professor
Department of Mathematics and Computer Science (IMADA)
University of Southern Denmark (SDU)
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