AIRO Young Opportunity
Expires
06 May 2022
Institution
University of Bergamo
Country
Italy
Description
Dear Colleagues,
I would be more grateful if you can bring to the attention of suitable candidates the following one-year (extensible for a second year) full time postdoctoral fellowship on "Optimization under uncertainty and machine learning methods for sustainable urban logistics problems" (scientific sector MAT/09 Operations Research) at the Department of Management, Information and Production Engineering of the University of Bergamo (Italy).
The position will be supervised by Francesca Maggioni and Tommaso Lando and is in the context of the Italian Project “Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN 2020)” entitled: “ULTRA OPTYMAL - Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning”, prot. n. 20207C8T9M granted by the Italian Ministry of University and Research. More info here: https://ultraoptymal.unibg.it/.
The research activity will be devoted to the development of new optimization models and efficient algorithms for problems in urban logistics affected by uncertainty and on an integrated framework for stochastic programming and machine learning.
The ideal candidate should have experience in stochastic programming, distributionally robust optimization and machine learning methods for urban logistics.
The hired researcher will be involved in a dynamic international environment and will be encouraged toward mobility and collaboration among the four research units involved in the PRIN project (University of Bergamo, University of Milano-Bicocca, University of Brescia, and University of Calabria).
The annual gross salary is € 22.220,00.
The position is expected to start on July 1st 2022 unless exceptional circumstances require an alternative start date.
Full information about the position and the application process can be found here: https://pica.cineca.it/unibg/22ar009
specifying the code n. 1.
Application deadline: May 6, 2022.
For further information about the position or the application procedure, please write to francesca.maggioni@unibg.it
With best regards,
Francesca Maggioni
Reference email: francesca.maggioni@unibg.it
I would be more grateful if you can bring to the attention of suitable candidates the following one-year (extensible for a second year) full time postdoctoral fellowship on "Optimization under uncertainty and machine learning methods for sustainable urban logistics problems" (scientific sector MAT/09 Operations Research) at the Department of Management, Information and Production Engineering of the University of Bergamo (Italy).
The position will be supervised by Francesca Maggioni and Tommaso Lando and is in the context of the Italian Project “Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN 2020)” entitled: “ULTRA OPTYMAL - Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning”, prot. n. 20207C8T9M granted by the Italian Ministry of University and Research. More info here: https://ultraoptymal.unibg.it/.
The research activity will be devoted to the development of new optimization models and efficient algorithms for problems in urban logistics affected by uncertainty and on an integrated framework for stochastic programming and machine learning.
The ideal candidate should have experience in stochastic programming, distributionally robust optimization and machine learning methods for urban logistics.
The hired researcher will be involved in a dynamic international environment and will be encouraged toward mobility and collaboration among the four research units involved in the PRIN project (University of Bergamo, University of Milano-Bicocca, University of Brescia, and University of Calabria).
The annual gross salary is € 22.220,00.
The position is expected to start on July 1st 2022 unless exceptional circumstances require an alternative start date.
Full information about the position and the application process can be found here: https://pica.cineca.it/unibg/22ar009
specifying the code n. 1.
Application deadline: May 6, 2022.
For further information about the position or the application procedure, please write to francesca.maggioni@unibg.it
With best regards,
Francesca Maggioni
Reference email: francesca.maggioni@unibg.it