Blackbird is a world leading company within data collection
on production lines and data visualisation. We
offer a unique opportunity in form of project collaboration or internships to top students whom are eager to apply their skills on real problems.
Blackbird offers products that monitors the through put of a production
line and analyse the up/down time. Stop causes and stop durations are collected
to analyse the problems on a specific production line. Furthermore, the system
holds meta data of work shifts and product batches. The project collaboration
allows you to solve one or more of the following tasks:
Investigate how machine learning can be used to
predict the next stop on a production line and compare the result to using
classical prediction tools.
Use machine learning to analyse correlation
between work shifts, product batches, stop causes and line speed etc. to
identify which parameters can be tuned to achieve the “golden batch”.
Investigate if machine learning and AI could be
used to create a virtual production manager who can tell the operators and
technicians on the production line what to do.
We will provide the data, collaboration companies and help
from our expert team of engineers.
Your educational background is within Electrotechnology,
Software, Mathematical modelling, Digital Informatics,
Process technology or similar education with
strong skills in math and data processing. Furthermore, you must aim high, be
curious and have a high personal drive.
We prefer internships with a time dedication equivalent to 1 semester full time. There is the possibility to continue as paid student assistant after the internship.
Please submit your application to firstname.lastname@example.org.
Deadline of application is 15 January 2018.
Interviews are scheduled on a rolling basis.
Project collaboration period
We jointly agree on the project period but we expect this
period to be in the Spring of 2018.
The estimated minimum project
period is minimum 4 months.
For more information contact
Peter Savnik, Automation Project Manager,
email@example.com / Tel : 24 91 70
83 or Finn Hunniche, Partner, firstname.lastname@example.org / Tel : 40 41 95 31.
Depending on profile