Projekt

Make cities a little greener and cleaner with machine learning and time series analysis at Nordsense

Udbyder

Virksomhed / Organisation

Sted

København og omegn

Nordsense has created a complete end-to-end IoT solution that optimizes waste collection processes using machine learning and turn-by-turn navigation for waste collection – and we are already powering San Francisco and Copenhagen.

You will be part of a team that applies machine learning and time series analysis to identify events from the measured fill levels.

During the project, you will apply machine learning and time series analysis to improve our ability to identify events in street bins and containers. 

We have ground limited ground truth data to train on, so it might be necessary to build further ground truth. The accuracy of the identification of empty events are critical to our ability to forecast fill levels and make accurate route optimization, so your work will have a real impact on our product.

Forudsætninger

Experience with machine learning or time series analysis (Bayesian Modeling is a plus)

Søg i opslag

OM DTU

DTU er et teknisk eliteuniversitet med international rækkevidde og standard. Vores mission er at udvikle og nyttiggøre naturvidenskab og teknisk videnskab til gavn for samfundet. 10.000 studerende uddanner sig her til fremtiden, og 5.700 medarbejdere har hver dag fokus på uddannelse, forskning, myndighedsrådgivning og innovation, som bidrager til øget vækst og velfærd.

Find os her

Anker Engelunds Vej 1
Bygning 101A
2800 Kgs. Lyngby


45 25 25 25

dtu@dtu.dk

CVR-nr. 30 06 09 46

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