TRAINEE IN DATA ANALYSIS AND AI MODELING FOR THE ANALYSIS OF INDOOR AND OUTDOOR ENVIRONMENTAL SENSOR DATA USING ARTIFICIAL INTELLIGENCE ALGORITHMS
Descrizione dell'offerta di lavoro
Eurac Research is an interdisciplinary research center located in Bolzano, Italy.
At the Center for Sensing Solutions (CSS) we develop tailor-made solutions for research and industry, from using sensors for data collection to the analysis and exploitation of the collected data in the form of web applications or services.
We are looking for a highly motivated master's student with a strong interest in data analysis and AI modeling.
The selected candidate will be responsible for conducting research in the field of machine learning models applied to improving the accuracy and precision of data acquired through low-cost sensors.
The project being referenced is "Aquinas," within the framework of the ATMO-ACCESS TNA.⯠Tasks.
Collecting data from a database through APIs Developing software for AI using dedicated Python libraries (e.
.
TensorFlow, Pandas) Conducting data analysis in a virtual environment Strong programming skills in AI (Python) Data organization and cleaning for dataset creation (e.
.
gap filling) Requirements.
Scientific background (i.
.
Math, Physics, Computer Science, Engineering or equivalent) Knowledge of a language for the data analysis, modelling and processing such as.
Python, C, C++ Knowledge AI frameworks (numpy, pandas, scikit learn, tensor flow, etc.) Knowledge of microcontrollers systems is considered a plus Knowledge of sensors working principle and data acquisition is considered a plus Good knowledge of English Ability to work independently and in team Motivation, teamwork, communication, and personal commitment We offer.
The Center for Sensing Solutions is offering a position for 6 months.
The beginning of the internship will be discussed with the selected candidate.
n internship compensation is foreseen.
How to apply.
nterested candidates should submit their application (CV, cover letter and further relevant documents) by .
Dettagli dell'offerta
- Eurac Research
- 27/06/2024
- 25/09/2024
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