Connectionists: Open Position (1-year) in Machine and Deep Learning methodologies for Smart City, University of Naples Federico II, Italy

[Francesco Piccialli]

*Call for Post-degree or Post-doc Position*

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 at 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

*Contacts*
francesco.piccialli at unina.it - http://wpage.unina.it/francesco.piccialli/

-- 
Prof. Francesco Piccialli, Ph.D.
DMA - Department of Mathematics and Applications "R. Caccioppoli"
University of Naples Federico II, Italy
Tel. +39 081675787
Web:http://wpage.unina.it/francesco.piccialli/
Google Scholar:https://scholar.google.it/citations?user=CLNn_9gAAAAJ&hl=it
M.O.D.A.L group:https://www.labdma.unina.it
Institutional web:https://www.docenti.unina.it/francesco.piccialli
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