Deutsche Post DHL Group

INTERN (M/F) FLEET AND ASSET MANAGEMENT (IOT, MACHINE LEARNING, GEOSPATIAL DATA)

  • Veröffentlicht am 11.07.2018
  • Bonn
Deutsche Post DHL Group
Deutsche Post DHL Group sucht derzeit:

INTERN (M/F) FLEET AND ASSET MANAGEMENT (IOT, MACHINE LEARNING, GEOSPATIAL DATA)

60085

JOIN OUR TEAM IN BONN, STARTING ON JULY 1ST, 2018 OR LATER, FOR AT LEAST FOUR MONTHS

INTERN (M/F) FLEET AND ASSET MANAGEMENT (IOT, MACHINE LEARNING, GEOSPATIAL DATA)

DO YOU KNOW A GREAT DEAL AND WANT TO MAKE A DIFFERENCE?

WE GIVE TRAILBLAZERS ROOM TO GROW.

Welcome to the Post - eCommerce - Parcel (PeP) division of the Deutsche Post DHL Group. We are the postal service for Germany, the parcel service for Europe and the worldwide logistics expert for online trading.

PeP employees combine particular passions: We think positively, develop solutions, shape our future and take responsibility. We connect people through letters and parcels and enhance their lives.

PeP is expanding with new roles for go-getters with a positive attitude.

This is your chance!

Your tasks
This internship offers you the opportunity to gain critical experience in the operations of a sophisticated global logistics firm. You will join a cross-functional team of data scientists and will work on innovative IoT projects. Location and condition monitoring through IoT provides a new level of transport visibility within DHL’s parcel segment. Multi-sensor tags on single assets transmit data related to location, time and condition (whether any thresholds have been crossed). Therefore, you will:

  • pilot different IoT tracking solutions and suggest technical/logical modifications on piloted tracking devices;
  • create and implement novel algorithms to distinguish between loaded and empty roll cages based on transport logics;
  • create and implement novel algorithms based on geospatial data to prevent theft of DHL’s assets; 
  • compute usage/idle time of individual assets;
  • measure the efficiency of transport in terms of asset utilization, make suggestions for optimized routing and exchange concepts.

Your profile

  • Undergraduate degree in mathematics, computer science, engineering, optimization research, geography, or an equivalent course of study
  • Demonstrable familiarity with machine learning/deep learning methods (background knowledge on geospatial data would be an advantage)
  • Demonstrable proficiency in coding, such as in Python, and data science experience
  • Familiarity with programming concepts; enthusiasm and passion for programming
  • Resourceful; able to accomplish tasks rapidly by devising solutions 

Your benefits
Use this opportunity to put your knowledge into practice and to gain insights into the day-to-day business of an internationally operating company. We offer appropriate compensation.

Your contact
Simon Deymann will be happy to answer your questions via telephone at +49 228 182-22500.

Interested in this exciting opportunity? Please click on “Apply” and send us your complete application, including a cover letter, CV and references. You can find further information at dpdhl.jobs.

We are looking forward to your application.

CONNECTING PEOPLE. IMPROVING LIVES. 

Standort

Deutsche Post DHL Group Bonn, Deutschland
https://www.praktikum.info/stellenangebote/219922-p-intern-m-f-fleet-and-asset-management-iot-machine-learning-geospatial-data
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