Open Position (1-year) in Machine and Deep Learning methodologies for Smart City, University of Naples Federico II, Italy
We are pleased to announce a Post-degree or Post-doc Position (m/f/d) in the field Machine and Deep Learning at the M.O.D.A.L. – Mathematical mOdelling and Data AnaLysis research group, University of Naples Federico II, Italy, http://www.labdma.unina.it
The position is funded by CENTRO NAZIONALE HPC, BIG DATA E QUANTUM COMPUTING ITALIAN CENTER FOR SUPER COMPUTING (ICSC) – SPOKE 9", CUP: E63C22000980007 – PNRR
The main objective of the research activity will be the design and application of advanced Machine Learning and Deep Learning methodologies for data analysis in the context of a Smart City and Digital Society. The aim is to develop predictive models and intelligent systems capable of extracting meaningful information from the data collected within a Smart City, enabling optimized resource management, improving the quality of life for citizens, and promoting a more effective and sustainable digital society.
The position is available immediately; the official opening announcement will be online in the coming days, with a deadline (for the application submission) of October 17th, and the start of employment on November 1st, 2023.
To receive additional details you are kindly invited to contact in advance Francesco Piccialli (francesco.piccialli@unina.it)
Your tasks at a glance
• Performing cutting edge research on Machine and Deep Learning methodologies for Smart City
• Working on the project, especially planning, implementing and executing research
• Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis,
• Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures.
• Coordinate with the PI and other team members for strategies and project planning.
Your qualifications and competences
• Completed Master's or equivalent university degree in Computers Science, Mathematics, Computer Engineering, Mathematical Engineering;
• Skills in Python, Tensorflow, Pytorch are an advantage ;
• Interest in fundamental research and experimental work ;
• Skills in Machine and Deep Learning;
• International experience is another advantage ;
• Very good English skills;
Who we Are
M.O.D.A.L. – Mathematical mOdelling and Data AnaLysis research group – https://www.labdma.unina.it
francesco.piccialli@unina.it - http://wpage.unina.it/francesco.piccialli/