The candidate will have to work on topics related to the integration of Optimization and Machine Learning (empirical modelling), with applications ranging from algorithm selection and configuration to matching user requirements with hardware resources.
Aspiring candidates are expected to have experience with Machine Learning (knowledge of neural networks and decision trees is mandatory) and Discrete Optimization (such as Mixed Integer Linear Programming or Constraint Programming). Familiarity with black-box optimization approaches is not necessary but it would be useful.
Candidates should also be willing to tackle application-focused research topics. A PhD title is not required, but it would be an advantage.
The contract will last 1 year with renewals being possible. The Net Annual Income will be between 20k€ and 23k€, depending on the candidate level, while the Gross Annual Income will be in the ~23k€ -- 26k€ range. Research activities will be in Bologna, pending feasibility given the evolving epidemic containment regulations.
Interested persons should contact us at andrea.borghesi3@unibo.it <mailto:andrea.borghesi3@unibo.it> and allegra.defilippo@unibo.it <mailto:allegra.defilippo@unibo.it>
Bests,
Allegra De Filippo
**********************************************************
*
* 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
